blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 2 327 | content_id stringlengths 40 40 | detected_licenses listlengths 0 91 | license_type stringclasses 2
values | repo_name stringlengths 5 134 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringclasses 46
values | visit_date timestamp[us]date 2016-08-02 22:44:29 2023-09-06 08:39:28 | revision_date timestamp[us]date 1977-08-08 00:00:00 2023-09-05 12:13:49 | committer_date timestamp[us]date 1977-08-08 00:00:00 2023-09-05 12:13:49 | github_id int64 19.4k 671M ⌀ | star_events_count int64 0 40k | fork_events_count int64 0 32.4k | gha_license_id stringclasses 14
values | gha_event_created_at timestamp[us]date 2012-06-21 16:39:19 2023-09-14 21:52:42 ⌀ | gha_created_at timestamp[us]date 2008-05-25 01:21:32 2023-06-28 13:19:12 ⌀ | gha_language stringclasses 60
values | src_encoding stringclasses 24
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 7 9.18M | extension stringclasses 20
values | filename stringlengths 1 141 | content stringlengths 7 9.18M |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e0107c401718aa403d3a8eb3c3b6b7f99f11e09b | 00c39406f6b66c24629dbcba4aeb7dccbc908119 | /man/gx.get.Rd | b5e5c0caee4bb4c8590a4da16fe22edfa8c7101d | [
"MIT"
] | permissive | genexplain/geneXplainR | cca196ed558ed985c5b0e14716ce497697ce370e | 3a5358f3d5f73a7a40ce7a15eb4b2846c7e01ac1 | refs/heads/master | 2022-08-27T23:12:52.705562 | 2021-12-14T08:16:43 | 2021-12-14T08:16:43 | 88,882,877 | 5 | 4 | MIT | 2022-08-09T14:56:12 | 2017-04-20T15:41:47 | R | UTF-8 | R | false | true | 421 | rd | gx.get.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/geneXplain.R
\name{gx.get}
\alias{gx.get}
\title{Gets a table from the platform workspace}
\usage{
gx.get(path)
}
\arguments{
\item{path}{path of object to load into a data.frame}
}
\value{
a list containing the table
}
\description{
Returns ... |
e5512789a85e2dc4ffffbe834190df1ca1b2c624 | ffdea92d4315e4363dd4ae673a1a6adf82a761b5 | /data/genthat_extracted_code/HMP/examples/tonsils.Rd.R | 871e1e910759485af92b0575c8216df0156e0eb1 | [] | no_license | surayaaramli/typeRrh | d257ac8905c49123f4ccd4e377ee3dfc84d1636c | 66e6996f31961bc8b9aafe1a6a6098327b66bf71 | refs/heads/master | 2023-05-05T04:05:31.617869 | 2019-04-25T22:10:06 | 2019-04-25T22:10:06 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 149 | r | tonsils.Rd.R | library(HMP)
### Name: tonsils
### Title: Palatine Tonsil Data Set
### Aliases: tonsils
### Keywords: datasets
### ** Examples
data(tonsils)
|
780bcf12153ef1072011348c362a40260c49a1bb | a0668f6fd7e370227443ef993d158efe6b20ae74 | /General_Genomic_Structure_GenoplotR.R | d45044f2a15a1eb19536153a73cd4580d3a2f334 | [] | no_license | RobinHofmeister/SAGE_2 | a646d1ab2a930d498cbbde6d33c83223a9b695fa | 27c057ae84859ac2af1fbe260d52274e36f04837 | refs/heads/master | 2020-03-19T06:11:28.730376 | 2018-06-04T14:13:06 | 2018-06-04T14:13:06 | 135,998,578 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 1,375 | r | General_Genomic_Structure_GenoplotR.R | library(genoPlotR)
# 1) The following lines produce the alignment of all Bombella and Commensalibacter genomes and represent the synteny across all these genomes.
bbone <- read_mauve_backbone("alignment_all.backbone", ref=2)
name<-c("PacBio-0368", "Bom_368","Bom_378","Bom_380","Bom_385","Bom_387", "Com_392", "Com_... |
365bde8ef5938d550702ecc345728d61ddb897e2 | 9b7888b0b9ecab83ac55e020d2c59917d6452f39 | /R/addGeneIDs.R | 91e131addde9c13a0c569372542f38c16ddc9e7d | [] | no_license | jianhong/ChIPpeakAnno | 703580b9ce6a7708f60d92a78a3714bc9d82a562 | d2136538718c58881a420c9985c53c6e89e223f4 | refs/heads/devel | 2023-08-22T15:29:29.888828 | 2023-07-25T14:57:28 | 2023-07-25T14:57:28 | 186,652,664 | 10 | 6 | null | 2023-09-01T20:48:22 | 2019-05-14T15:41:28 | R | UTF-8 | R | false | false | 12,483 | r | addGeneIDs.R | #' Add common IDs to annotated peaks such as gene symbol, entrez ID,
#' ensemble gene id and refseq id.
#' @description Add common IDs to annotated peaks such as gene symbol,
#' entrez ID, ensemble gene id and refseq id leveraging organism annotation
#' dataset. For example, org.Hs.eg.db is the dataset from orgs.Hs.... |
8bc853cc1253fcb62a231804baf5ed84416242cd | 2d9fb03feb8626c67ba5d3f1a0815710b621c5f6 | /R/activity_type_frequence.R | 570bf7049b4cc31f7bf4c069036d6b359e76daf7 | [] | no_license | bbrewington/edeaR | 4c8916bad4c54521764574770ae941983363dc0a | 02b31d133b5cec68caa6e0c5fa446a6a6275d462 | refs/heads/master | 2021-01-19T18:32:49.442081 | 2016-08-27T17:31:36 | 2016-08-27T17:31:36 | 66,726,375 | 0 | 0 | null | 2016-08-27T17:17:51 | 2016-08-27T17:17:51 | null | UTF-8 | R | false | false | 1,186 | r | activity_type_frequence.R | #' @title Metric: Activity Type Frequency
#'
#' @description Provides summary statistics about the frequency of activity types at the level of traces, cases or activity types
#''
#' @param eventlog The event log to be used. An object of class
#' \code{eventlog}.
#'
#' @param level_of_analysis At which level the analysi... |
4edeba171661f402a0b5f4a36d5f5a79b4a43c79 | 678a532bc05214556abb1f993b867b390ed5f7ab | /man/plot_heatmap_for_k.Rd | 72cbceb6bc8663e5bd5f8578a9e942799aaa93b0 | [] | no_license | rdocking/amlpmpsupport | d744aa67c8cb882e8fd022b6d2c1ba402c0210c4 | b1f843ab41b59ca1fc54b044f23cfbfa741f2ae0 | refs/heads/main | 2023-02-07T19:00:58.035482 | 2021-01-02T21:56:53 | 2021-01-02T21:56:53 | 271,644,653 | 1 | 1 | null | null | null | null | UTF-8 | R | false | true | 806 | rd | plot_heatmap_for_k.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plotting_functions.r
\name{plot_heatmap_for_k}
\alias{plot_heatmap_for_k}
\title{Plot a pheatmap for a single value of k}
\usage{
plot_heatmap_for_k(
cluster_assignments.df,
annotation_col.df,
ann_colours.lst,
cluster_input.mat,
ann... |
631b69dd6df2c56b7d44ed1c62a17cadca2718f2 | 898b2aac5e970486cca3c45ed2ffeece244d6731 | /R/etl_transform.R | 8137d7e3c57cf546bc433b392d220d3cfeb23204 | [] | no_license | homerhanumat/airlines | d332c4058cc43690ac84a749fde27d6e961636e9 | 84fd964ef6de272bcd2a0ec7e7dbea912e639cae | refs/heads/master | 2021-09-01T22:52:51.966622 | 2017-12-29T02:12:09 | 2017-12-29T02:12:09 | 113,721,910 | 0 | 0 | null | 2017-12-10T04:09:49 | 2017-12-10T04:09:48 | null | UTF-8 | R | false | false | 5,342 | r | etl_transform.R | globalVariables(".")
#' @rdname etl_load.etl_airlines
#' @inheritParams etl_transform.etl_airlines
#' @export
etl_transform.etl_airlines <- function(obj, years = 2015, months = 1:12, ...) {
must_unzip <- match_files_by_year_months(list.files(attr(obj, "raw_dir")),
pattern... |
0362555735c4cbe178a55ce7123fbb676b28530d | 2e00a38e30564bd1818e76e3f337095afe7aa7a7 | /man/likert2prop.Rd | 3f55ed8dd5dfa50df420729389565ba2b733242e | [
"MIT"
] | permissive | dtitone-lab/languageEntropy | 612955f8f5659c0136b26a16c2ee0b89fb8cdcec | 6e08d9550b3923f7df2d4ebf26d1122fc2bf56c9 | refs/heads/master | 2020-04-27T19:26:41.867214 | 2020-04-09T01:26:17 | 2020-04-09T01:26:17 | 174,618,279 | 0 | 0 | NOASSERTION | 2019-07-26T16:42:42 | 2019-03-08T22:19:54 | R | UTF-8 | R | false | true | 1,869 | rd | likert2prop.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/likert2prop.R
\name{likert2prop}
\alias{likert2prop}
\title{Function to convert Likert scale data to proportions}
\usage{
likert2prop(data, id, ..., colsList = NULL, minLikert = 1)
}
\arguments{
\item{data}{Your dataset}
\item{id}{ID column ... |
a22193b56d5fdc646e3b57ba0cdcd9ad2768d96e | 74b0bd9a78628a9a7c529bc4306940f13e333fa7 | /CoopGame/man-roxygen/param/n.R | 1caefbf2daa1b5829d4798d1e29c9da82dff4756 | [] | no_license | anwanjohannes/CoopGame | b5129301a05591704e25b303d86c874af3eb6853 | 69c697dad8e3cd79b5cca62c5f1913a03b9ccd52 | refs/heads/master | 2020-05-03T16:52:29.265390 | 2019-04-04T20:03:38 | 2019-04-04T20:03:38 | 178,733,418 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 47 | r | n.R | #' @param n represents the number of players.
|
8369c8a7abe203eb1a45a7e4c174514278dbe198 | 97f1e3e6e908a83489e4243268ba539316196176 | /man/usePkg.Rd | f94ab952071f9b1674884f6abafd7027f9644b06 | [
"Apache-2.0"
] | permissive | ANTsX/ANTsRCore | 1c3d1da3bea84859da7d18f54c34ae13d2af8619 | 8e234fd1363c0d618f9dc21c9566f3d5464655a2 | refs/heads/master | 2023-05-24T23:53:30.886217 | 2023-05-22T02:52:39 | 2023-05-22T02:52:39 | 83,897,912 | 8 | 22 | null | 2023-05-22T02:52:40 | 2017-03-04T14:09:48 | C++ | UTF-8 | R | false | true | 648 | rd | usePkg.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/usePkg.R
\name{usePkg}
\alias{usePkg}
\title{Use any package. If package is not installed, this will install from CRAN.}
\usage{
usePkg(packageName, allowInstall = FALSE)
}
\arguments{
\item{packageName}{Name of package as *string*.}
\item{... |
871cf5f727d5690b72a2e05b03d02c29a56deabb | 53d1a914d59666b0b79b0b689f9ca83b6789ca86 | /Rmds/knit_rmd.R | 5a6847b7c309b56ce5a85790ad97934b90321982 | [] | no_license | sheridar/spt5-mutants | 6c4d71bf45b9e21bfbd6712a88fb151638ea71db | 80d58ef497b1ae42396c2d4399582d6b6c17721e | refs/heads/main | 2023-04-08T06:00:31.528713 | 2022-08-21T21:31:17 | 2022-08-21T21:31:17 | 527,275,899 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 359 | r | knit_rmd.R | library(rmarkdown)
library(docopt)
doc <- "Usage: knit_Rmd.R [--help] [--input INPUT] [--output OUT]
-i --input INPUT path to rmarkdown
-o --output OUTPUT name of output html file to write
-h --help display this help message"
opts <- docopt(doc)
print(opts)
# Render Rmd
render(
input = opts$... |
9244207944908e83e76ab6bca8d72e6ec546a13a | 35f938ce60457589f150e3270be88c600acbff2f | /R/EQAO.R | 8ce6c276c1a6d856f59546cb43590cbdff70186e | [] | no_license | cconley/DDSB | 3cfba05de4316115b6d6ae30fdbaa26f698d1175 | 59652b30c6705e55de19528d4c013e659de9ab22 | refs/heads/master | 2021-01-25T14:26:38.146141 | 2018-03-05T18:51:25 | 2018-03-05T18:51:25 | 123,450,536 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 15,243 | r | EQAO.R | #' For use with EQAO ISD files
#'
#' Collapsing IEP categories into a single column
#'
#' Use: df <- EQAO_IEPrecode(df)
#'
#' Function determines whether the ISD data frame is grade 3, 6, 9 or 10 and creates a new IEPcode column of IEP labels
#' Adapted from drsimonj'b blog post: https://drsimonj.svbtle.com/creating... |
6ff5c29d0e34d09734fe411f0cc320a46bb764bd | b99abf9744dc0fb59684470d4994120c8577562b | /Sous_Routine_MOBITC/MOBITC_Export_Rapport_Trace.R | e380d926b577289cfe622ec3e90e262946160a7d | [] | no_license | ctrmal/dtermed.MobiTC-1 | e7ba094f79927f0aa429bec7f2cde0fac7a48fef | 96cbedfb33687d6394e0473486288ed4a257a5d0 | refs/heads/master | 2020-06-26T11:37:03.569225 | 2019-06-13T09:29:36 | 2019-06-13T09:29:36 | 199,621,400 | 0 | 0 | null | 2019-07-30T09:36:03 | 2019-07-30T09:36:02 | null | UTF-8 | R | false | false | 2,962 | r | MOBITC_Export_Rapport_Trace.R |
chemin_rep_travail="C:\\0_ENCOURS\\TPM\\Erosion\\MobiTC_rivages"
dirr=R.home()
chem_mobitc=paste(dirr,"/Cerema/MOBITC",sep="")
fichier_intersectionv1="20190517T152421-TPM-Sque-cont-Tra-P50-L0100sel-lisse-filtre3-mod-IntersTDC-v1.txt"
fichier_sque="20190517T152421-TPM-Sque-cont"
fichier_trace="20190517T152421-T... |
2c07558f3c0a923174df8538c79b52b4122ba946 | 73f1718e2d96d126ca8e5c54efcf66984daaab3d | /MutSpot_Rpackage/man/mutPredict.snv.find.motif.Rd | a9f3a02a678e41529663ed80dc1f25e2fa050128 | [] | no_license | skandlab/MutSpot | f28e496eabeb526500a2820d13de973cb0cc9749 | 1189234c1fcffc5cfacec805a1e43e20374dc995 | refs/heads/master | 2023-05-11T02:54:15.479497 | 2023-05-08T02:54:45 | 2023-05-08T02:54:45 | 96,533,637 | 10 | 11 | null | 2019-03-15T12:23:16 | 2017-07-07T11:50:06 | R | UTF-8 | R | false | true | 565 | rd | mutPredict.snv.find.motif.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mutPredict.snv.find.motif.R
\name{mutPredict.snv.find.motif}
\alias{mutPredict.snv.find.motif}
\title{Extract nucleotide contexts for each site in SNV hotspots.}
\usage{
mutPredict.snv.find.motif(seq, motifs)
}
\arguments{
\item{seq}{Datafram... |
256c702062e2913d7e570c8ccfca91e9cde6eaca | 539f352d0959cd134a2846728281d43c5266e121 | /staging/recurrent/src/helper.R | 83f25819d49753460a42ea490f5582357e6562ba | [
"MIT"
] | permissive | chendaniely/multidisciplinary-diffusion-model-experiments | 56420f065de42f4fe080bc77988fcfe9592182c1 | 04edf28bb1bfadaff7baf82b8e3af02a3f34bf6d | refs/heads/master | 2016-09-06T10:03:27.798846 | 2016-02-28T19:01:26 | 2016-02-28T19:01:26 | 24,729,632 | 2 | 0 | null | 2015-11-24T17:04:32 | 2014-10-02T17:46:19 | R | UTF-8 | R | false | false | 5,170 | r | helper.R | ################################################################################
#
# Preping data functions
#
################################################################################
#' parse columns from the link.values dataframe such that
#' a separate column represents the influencing node type, influencing ... |
5897cef45303b7b8e666abd2ba9c89798a3fedd8 | ffdea92d4315e4363dd4ae673a1a6adf82a761b5 | /data/genthat_extracted_code/pastecs/examples/stat.pen.Rd.R | 9e7dc2666ee572b7fec78c3879edd9f900c46bee | [] | no_license | surayaaramli/typeRrh | d257ac8905c49123f4ccd4e377ee3dfc84d1636c | 66e6996f31961bc8b9aafe1a6a6098327b66bf71 | refs/heads/master | 2023-05-05T04:05:31.617869 | 2019-04-25T22:10:06 | 2019-04-25T22:10:06 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 229 | r | stat.pen.Rd.R | library(pastecs)
### Name: stat.pen
### Title: Pennington statistics on a data frame or time series
### Aliases: stat.pen
### Keywords: ts
### ** Examples
data(marbio)
stat.pen(marbio[,c(4, 14:16)], basic=TRUE, desc=TRUE)
|
676d1c52f16dd13dc6ad2f8f73750be257c1439d | 99d0e8a1a8dae971ab6ebb4a15c8c6a3620a7c50 | /do_MethSig.R | cc27de9c9be16af9d7f8b323d8a3a2d7039e31e1 | [] | no_license | microtsiu/WGBSSuite | 93ce2d6f00d1d91e2b884671ce098dc7910dceed | b775f4328f50f0fdb298f664f8bc328e315dcf52 | refs/heads/master | 2020-09-16T21:52:40.022409 | 2016-07-05T13:31:13 | 2016-07-05T13:31:13 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 6,178 | r | do_MethSig.R | library(methylSig)
par_methsig_benchmark <- function(methsig_cutoffs,methsig_qvals,locs,dfs,max_distance,min_CpG,methdiff,methdiff_cutoff){
#methsig_cutoffs<-c(0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1)
#methsig_ROC <- matrix(data=0,nrow=2,ncol=length(methsig_cutoffs))
foreach(i=1:length(methsig_cutoffs),.combi... |
c32b127cc0e6f79f59489cc2fd804502c428d75d | ffdea92d4315e4363dd4ae673a1a6adf82a761b5 | /data/genthat_extracted_code/GenomicMating/examples/getGaSolutions.rd.R | bcee82f0973b63337fedbc9bb951c6739497e672 | [] | no_license | surayaaramli/typeRrh | d257ac8905c49123f4ccd4e377ee3dfc84d1636c | 66e6996f31961bc8b9aafe1a6a6098327b66bf71 | refs/heads/master | 2023-05-05T04:05:31.617869 | 2019-04-25T22:10:06 | 2019-04-25T22:10:06 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 4,407 | r | getGaSolutions.rd.R | library(GenomicMating)
### Name: getGaSolutions
### Title: getGaSolutions
### Aliases: getGaSolutions Kmatfunc calculatecrossvalue getstatsM1
### getstatsM2 getstatsM3 getstatsfromsim pairs3d par.name mapfunct
### par.position tails
### ** Examples
## Not run:
##D library(GenomicMating)
##D
##D ###Create 100 ... |
246135fc22bc5f44ab9f9979b6b455d1958d2383 | c09007f15f05d68f99650619d4bf5c6ed5471295 | /R/version.R | e67cdf0b3a760726142a1a1716b8be4f0944501b | [
"MIT"
] | permissive | isabella232/zones | 7dbb0ef410f0f08c685583f2a05351c02c03820d | 80e379b416b1c58bc48ea1e8abebf5c4d1a1f911 | refs/heads/master | 2023-04-02T06:03:10.610755 | 2021-04-19T19:02:06 | 2021-04-19T19:02:06 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 327 | r | version.R | #' Time zone database version
#'
#' @description
#' `zone_database_version()` returns the version of the time zone database
#' currently in use.
#'
#' @return
#' A single string of the database version.
#'
#' @export
#' @examples
#' zone_database_version()
zone_database_version <- function() {
zone_database_version_c... |
0bc2dac629ceb07b0f0c3977d13f82149c389286 | ed7c017dd9a4e256db9284b8b4219fd8f8ade2f0 | /pkg_VariantCallinginR/man/AlignQual.Rd | 67fd6d257a8fc1dcb6a7b339855ea6592b2b8bfb | [] | no_license | DRemarque/VariantCallinginR | 2c9bf42dd47e7f2547c6c33f1736a5f7adaa4558 | f14cec98dfdf7eb3ab6f951107090068e9743c0b | refs/heads/master | 2022-11-16T19:02:01.387893 | 2020-07-06T18:02:12 | 2020-07-06T18:02:12 | 275,776,774 | 0 | 0 | null | null | null | null | UTF-8 | R | false | true | 1,384 | rd | AlignQual.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/AlignQual.R
\name{AlignQual}
\alias{AlignQual}
\title{AlignQual()}
\usage{
AlignQual(
Alignment_File_Name = "No Default",
Reference_Length = "No Default",
Read_Length = "No Default",
server = F
)
}
\arguments{
\item{Alignment_File_Nam... |
838f1d1829d89a0ba012baaf87e184e3bc0260de | 8e01589320ce5bfcc5992acc4447225ed0e4b806 | /R/glmfence.R | ff597580287e448605861bd44936aed09b21086e | [] | no_license | garthtarr/mplot | c58a50650c05cfe6827ab41cb1bdf5171f29d4d5 | 3d6072a8249ca2607f2bfe5eb464abfd3cdec526 | refs/heads/master | 2021-07-17T01:57:32.116579 | 2021-07-10T10:36:39 | 2021-07-10T10:36:39 | 19,841,699 | 12 | 9 | null | null | null | null | UTF-8 | R | false | false | 4,627 | r | glmfence.R | #' The fence procedure for generalised linear models
#'
#' This function implements the fence procedure to
#' find the best generalised linear model.
#'
#' @param mf an object of class \code{\link[stats]{glm}}
#' specifying the full model.
#' @param cstar the boundary of the fence, typically found
#' through bootst... |
fb9983ac02dd6164b985a73f4b12d9078aa0b241 | 7aeadc8bcade91cb6c50bd57b525ea968a42a43c | /code/stepwise.R | 337fd2958e9881ab521126bc3712eff86ab95d74 | [] | no_license | Miamiamiamyt/Econ725_finalproject_group7 | 5e62e02df3c61984325813912bed8f0184eb954d | 932f5707634d555e2d1e9dd51d00c2f9a2573ffb | refs/heads/main | 2023-01-23T06:02:20.719806 | 2020-12-11T07:18:46 | 2020-12-11T07:18:46 | 313,625,645 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 2,830 | r | stepwise.R | stepwise = function(train,test,name,y,crit) {
train_temp <- train[,..name]
if(y == 'single_price') {
model <- lm(data.frame(train$single_price,train_temp))
colinear <- names(model$coefficients[which(is.na(model$coefficients))])
#print(typeof(colinear))
#train_temp <- data.frame(train_temp)
train... |
254b64601511f5c3f0415e07668897b051ff29f8 | fa771d50093e1e01b07dfbf8c3d6cc4cbe6006a3 | /cachematrix.R | 953d5b961f1aaae58ba5d8050f354524391391e3 | [] | no_license | azzurres/ProgrammingAssignment2 | 43d2b81fdc284c41ac7b05d8897d7b0f8e76356c | 89d488aee0ff503fe78b58792c96c12cd3dfa64b | refs/heads/master | 2021-01-21T19:45:40.969078 | 2014-12-18T17:38:19 | 2014-12-18T17:38:19 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 2,192 | r | cachematrix.R | ## The object of this assignment is to cache the inverse of a matrix in
## order to call upon it later instead of recalculating it, resulting in a gain
## of time. The following two functions will do this.
## makeCacheMatrix creates a list containing a function to
## 1. set the value of the matrix
## 2. get the value... |
190fcb21b7182d419b103f9300ebd72365c1b176 | bd5b0f364019a59f296674b444a448a29d7ab55c | /R/make_gazetteer_example.R | 856c1f58ae819990da654f5167a5b30849057436 | [] | no_license | ramarty/Unique-Location-Extractor | 7adc08879e9c6597e48fa601223a3bb81de10d55 | e3a8c3775656603b013d6a185d533cfa88dcd664 | refs/heads/master | 2023-07-04T02:39:22.948217 | 2021-07-27T15:35:08 | 2021-07-27T15:35:08 | 234,098,531 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 356 | r | make_gazetteer_example.R |
library(osmdata)
library(raster)
library()
#### Define Area of Interest
kenya <- getData('GADM', country='KEN', level=3)
nairobi <- kenya[kenya$NAME_1 %in% "Nairobi",]
#### OSM Prep
q <- opq(bbox = nairobi %>% extent() %>% as.vector(),
timeout = 9999)
roads <- q %>%
add_osm_feature(key = 'highway', value... |
6b5b92d4b4ed2c42f200cc3705b36fdeab091930 | faca9fb310e0f5d25206dd7fbd8bd059e6facefb | /man/verbatimize.Rd | d93b3bc404a9efd65f0d3bc9e36c38d0dd80f289 | [] | no_license | imbs-hl/imbs | 505f534fb68cd2d8fc6a3847f36784245cab3111 | 2d3ec95b81ea84623f007c5364ab19789a85715c | refs/heads/master | 2023-08-11T08:33:42.695944 | 2019-09-05T20:01:22 | 2019-09-05T20:01:22 | 66,840,758 | 1 | 1 | null | 2018-01-29T15:02:18 | 2016-08-29T12:13:16 | R | UTF-8 | R | false | true | 448 | rd | verbatimize.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/character-vectors.R
\name{verbatimize}
\alias{verbatimize}
\title{Verbatimize string}
\usage{
verbatimize(x, sep = ", ")
}
\arguments{
\item{x}{Character vector to be encapsulated}
\item{sep}{String; How pasted elements should be separated, ... |
33e87634486395d31e478656756792bf661151a5 | 4af263043663e462f6d20a4e85eda3e59c26df1f | /man/create_data_churn.Rd | 4db6229063533dfb8359e061c252e1cce870ca19 | [] | no_license | rolkra/explore | de4398f17610be00fd4b181b0ffb4bf896335749 | afb33da1cc80e2135ed08440eee61494e3300c4a | refs/heads/master | 2023-09-01T06:19:24.895608 | 2023-08-29T08:12:14 | 2023-08-29T08:12:14 | 128,469,432 | 171 | 21 | null | 2023-09-07T06:32:18 | 2018-04-06T20:54:05 | R | UTF-8 | R | false | true | 727 | rd | create_data_churn.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/create-data.R
\name{create_data_churn}
\alias{create_data_churn}
\title{Create data churn}
\usage{
create_data_churn(
obs = 1000,
target_name = "churn",
factorise_target = FALSE,
target1_prob = 0.4,
add_id = FALSE,
seed = 123
)
}
... |
5cd606d4f82d94f8498a709cb2ead3dead80bcd0 | f7993d98c9effe1e7ab6bbd855ac2808b41cae16 | /Parte1-Rfundamentos/R08Listas.R | af7c3115022b6620b222dcd666493aa9adee8048 | [
"MIT"
] | permissive | alletsc/R-Scripts-para-Introducao | db71da50b8d42cddc2d8cef54dcae9167ccc6541 | 89eef96131c6dc3d7cd566d4bc1817b288ec480a | refs/heads/master | 2023-01-04T16:58:48.961433 | 2020-10-27T04:21:56 | 2020-10-27T04:21:56 | 290,594,709 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 1,566 | r | R08Listas.R | #Notebook criado para demonstracao de Listas
#List str
liststr = list('Bem-vindo', 'ao estudo', 'de R')
liststr
#Lista de inteiros
listint = list(2, 3, 4)
listint
#Lista de floats
floatlist = list(1.90, 45.3, 300.5)
floatlist
#Lista com numeros complexos
compllist = list(5.2+3i, 2.4+8i)
compllist
#List com valo... |
e9433dd0169dee61dc9e64377d677ffe48074a23 | 58b507613f6d4390ce0bcd2d61597343c32fdd28 | /man/apply_offset.Rd | 91a3be9b15d726af60768b581296822103b47ef9 | [
"MIT"
] | permissive | Weiming-Hu/EITrans | 1409017da7850c29f509edc22e122cd7fe3bd12a | d7877918088433e57ba058b697da8a5361661fcf | refs/heads/master | 2022-06-17T06:31:12.102028 | 2021-03-24T01:32:34 | 2021-03-24T01:32:34 | 203,261,345 | 0 | 0 | null | null | null | null | UTF-8 | R | false | true | 900 | rd | apply_offset.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/apply_offset.R
\name{apply_offset}
\alias{apply_offset}
\title{EITrans::apply_offset}
\usage{
apply_offset(ens, offset, pre_sorted = F, verbose = F)
}
\arguments{
\item{ens}{A 4-dimensional array for ensemble forecasts. Dimensions should be
\... |
b080753849ff32f7b91b3c59403b4b96f4c9f8a3 | 42ac78fed8e8494cc54a533e6cb9b4c18ca51369 | /branches/Matrix-APIchange/tests/matr-exp.R | 112b41c32f4781637084432a05fc79d09b37132a | [] | no_license | LTLA/Matrix | 8a79cac905cdb820f95190e99352cd9d8f267558 | 2b80087cfebc9f673e345000aeaf2170fc15b506 | refs/heads/master | 2020-08-07T20:22:12.075155 | 2019-09-28T21:21:10 | 2019-09-28T21:21:10 | 213,576,484 | 0 | 1 | null | 2019-10-13T00:56:38 | 2019-10-08T07:30:49 | C | UTF-8 | R | false | false | 1,575 | r | matr-exp.R | library(Matrix)
## Matrix Exponential
source(system.file("test-tools.R", package = "Matrix"))
## e ^ 0 = 1 - for matrices:
assert.EQ.mat(expm(Matrix(0, 3,3)), diag(3), tol = 0)# exactly
## e ^ diag(.) = diag(e ^ .):
assert.EQ.mat(expm(as(diag(-1:4), "dgeMatrix")), diag(exp(-1:4)))
set.seed(1)
rE <- replicate(100,
... |
5450063870b4771dd22b638d570fb8bb331a32a1 | 468b5f731ac921e570fc50360e427726bdec17bd | /app.R | 0a749808589f45c235fbb4f57b0fa116a4eaaf82 | [
"MIT"
] | permissive | josephd8/balancer-shiny | c8c94dd8656924ad6e188c2e6a3f0cd3f1463a72 | 7691ea3e6a98da88a71fa10721854278585c9a60 | refs/heads/main | 2023-01-25T04:33:01.146826 | 2020-12-10T22:27:21 | 2020-12-10T22:27:21 | 320,367,584 | 0 | 0 | MIT | 2020-12-10T22:27:22 | 2020-12-10T19:16:57 | R | UTF-8 | R | false | false | 1,306 | r | app.R |
library(shiny)
source("helpers.R")
# Define UI for application that draws a histogram
ui <- fluidPage(
# Application title
titlePanel("Balancer Pools"),
sidebarLayout(
sidebarPanel(
selectInput(inputId = 'type',
label = 'Pool Type',
cho... |
aba65a348af854c200a771e80c2cf7b42b8f04f9 | 59938d0e27d9d4eb28c2cfab7b05f98b61d35886 | /DSC/Q2_Firstn.R | 05010043d09f854bd7c65280d068454fb94585ff | [] | no_license | codepractice97/SemSix | 910114e33e711f93edab11845f08f9aadbb4e509 | a7f361af98fcd28fb720585ceece68ddbde8c22a | refs/heads/master | 2020-12-29T20:44:24.111971 | 2020-05-13T18:21:46 | 2020-05-13T18:21:46 | 238,725,305 | 0 | 1 | null | null | null | null | UTF-8 | R | false | false | 67 | r | Q2_Firstn.R | N=as.integer(readline("Enter Nth number"))
C=c(1:N)
print(sum(C)) |
427803704207e932efd061feb4d1e08e1805f941 | 0751e430a7b3ccb9a4417ab8a1d05cda5be3c96e | /wrangling_rasters.R | efb879c2ecd4a0634cc3318e46176a0633744d9a | [] | no_license | bilgecansen/MAPSvsGBIF | 544666463ed4092e50b5527ff03addba62872189 | 7ae003f6ce15c18667f5a4013f149b544bb426f2 | refs/heads/master | 2023-04-13T21:40:00.667137 | 2022-10-03T13:05:42 | 2022-10-03T13:05:42 | 269,141,047 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 1,757 | r | wrangling_rasters.R |
rm(list = ls())
library(tidyverse)
library(raster)
# Average of 17 years between 1992-2008 ----------------------------------
years <- 1992:2008
variables <- list.files("weather/single_year/1992")[1:10] %>%
gsub(".asc", "", .)
if (!"average" %in% list.files("weather")) dir.create("weather/average")
pb <- txtP... |
bf52cc26d0368959c5008b0a0b4dbc7437c1acd0 | 7c759c26de0788d39c0cbbffb9a601c406a0547f | /R Projects/R Shiny Visualizations/Lineup Assessment Tool/app.R | 980dd0c8a58e48ae286dc8257eb148fba0295d5b | [] | no_license | akash424/Data-Science-Portfolio | a648b3c1b460f685551dc521de1853780c17ec62 | 6498419353021d78259604c67a38fc96c450e486 | refs/heads/master | 2021-06-24T11:51:52.568635 | 2021-04-09T06:17:20 | 2021-04-09T06:17:20 | 212,435,479 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 16,497 | r | app.R |
# Load packages
library(readxl)
library(dplyr)
library(stringr)
library(ggplot2)
library(plotly)
library(shiny)
library(DT)
library(tidyverse)
library(rstudioapi)
current_path = getActiveDocumentContext()$path
setwd(dirname(current_path))
# Read data
TwoMan <- read_excel("data/LINEUP DATA.xlsx", sheet = "2Man")
T... |
265557d64c4da518785a480bb083b6a8c1a9fd87 | 57dc9106303ae7d4749626b8929e47ebff5fdfbb | /makeplot-square.R | 156d3b17075ba9f4b5991343f51a3d46e3e2c27a | [] | no_license | storaged/simulation | effe97b9d0428b8c5402e9e7850c942b8ea10a4a | 2228ad2e43a6dbc2d6bd60b0ba93e2148b3c0a4e | refs/heads/master | 2016-09-05T10:32:46.405316 | 2014-07-22T22:45:09 | 2014-07-22T22:45:09 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 661 | r | makeplot-square.R |
pdf('square-plot.pdf')
T = as.matrix(read.table('square.Rdata'))
boxplot.matrix(T[,2:101], use.cols=FALSE, xlab='Environmental stress level (phenotypic units/generation)', ylab='Number of autonomous transposons', names=format(T[,1]*0.002, scientific=FALSE), cex.lab=1.3)
dev.off()
pdf('perc-plot.pdf')
v = T[,1]
... |
61013189a87eaef24088820ce05b72cfc7caa68c | 8a8269eb23d9580db8eaeb184e5a9de790059a01 | /ui.R | dd0330e57de3c1ba41743e22ce24faa98c08e240 | [] | no_license | yizhouthu/DataProductsProject | 93c96ce0ba189f5e322fba7fd3d36915ea49a910 | 287cfe3d5e09a7ac201aa7f74b023f40d6d619c6 | refs/heads/master | 2021-01-12T17:07:22.676285 | 2016-10-15T16:47:21 | 2016-10-15T16:47:21 | 69,980,408 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 1,188 | r | ui.R | #
# This is the user-interface definition of a Shiny web application. You can
# run the application by clicking 'Run App' above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
shinyUI(pageWithSidebar(
headerPanel("Computing Without A C... |
9feb31c906794df95f14c440d395e0f227c86d3b | 35e9bba795e44aba136ce5cbbc4be37869555973 | /example_mpg.R | 64cf418c03f762c3ca262e5643579c34e7ef9faf | [] | no_license | hyunyouchoi/Programming-Machine-Learning-Application | fbe1f7cc174fe6c7891a79732aeac08842f41a17 | 07cb8678fceb98d39a2e05b42e93dd97abd19a73 | refs/heads/master | 2021-01-19T03:36:39.693581 | 2017-04-13T00:20:07 | 2017-04-13T00:20:07 | 87,329,206 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 1,689 | r | example_mpg.R | library(shiny)
library(datasets)
# Define UI for miles per gallon application
ui <- fluidPage (
pageWithSidebar(
# Application title
headerPanel("Miles Per Gallon"),
# Sidebar with controls to select the variable to plot against mpg
# and to specify whether outliers should be included
sidebarPanel(
... |
8caeaf639c3e3593d537418688673d851a861912 | 20fb140c414c9d20b12643f074f336f6d22d1432 | /man/NISTukThUnthPerCubFtTOjoulePerCubMeter.Rd | b48212c07379e0722420fe096e450d9a122a6139 | [] | no_license | cran/NISTunits | cb9dda97bafb8a1a6a198f41016eb36a30dda046 | 4a4f4fa5b39546f5af5dd123c09377d3053d27cf | refs/heads/master | 2021-03-13T00:01:12.221467 | 2016-08-11T13:47:23 | 2016-08-11T13:47:23 | 27,615,133 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 1,010 | rd | NISTukThUnthPerCubFtTOjoulePerCubMeter.Rd | \name{NISTukThUnthPerCubFtTOjoulePerCubMeter}
\alias{NISTukThUnthPerCubFtTOjoulePerCubMeter}
\title{Convert British thermal unitth per cubic foot to joule per cubic meter }
\usage{NISTukThUnthPerCubFtTOjoulePerCubMeter(ukThUnthPerCubFt)}
\description{\code{NISTukThUnthPerCubFtTOjoulePerCubMeter} converts from British ... |
2282c32dbdb8255635dcb23a2cfd4105565e3764 | 1e0198da60d1cddb803ecee7c21f21e7ee51e53d | /run_analysis.R | f967102f18242060557fbc385add38a9549a2c33 | [] | no_license | ptoctoi/datasciencecoursera | d599c28da705942933b31824cb40a45b8cbf034d | 709f7b76c69229fcc9352c9831e2dffb685127ab | refs/heads/master | 2021-01-10T04:46:04.231495 | 2016-02-25T11:00:34 | 2016-02-25T11:06:18 | 48,130,880 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 2,630 | r | run_analysis.R | ## Read files
#Activity
activity <- read.table("C:\\Users\\ptocto\\Documents\\UCI HAR Dataset\\activity_labels.txt")
#Features
features <- read.table("C:\\Users\\ptocto\\Documents\\UCI HAR Dataset\\features.txt")
# Train files
xtrain <- read.table("C:\\Users\\ptocto\\Documents\\UCI HAR Dataset\\train\\X_train.txt"... |
0c623baa481063de885412d8fede68ba599b3c63 | d31b057957591ec4f8ea01289279e62ffdc4cfc8 | /plot1.R | 181143d083a9cefe54fb32c5da653c3c38446baa | [] | no_license | dajit/ExData_Plotting1 | d752706518837f1f535f4a2dbece1e522a4d5c81 | b240e8c340890cb8596cf01fc2db4f973524d666 | refs/heads/master | 2021-01-18T14:29:15.072297 | 2016-08-14T22:34:58 | 2016-08-14T22:34:58 | 65,675,812 | 0 | 0 | null | 2016-08-14T16:30:50 | 2016-08-14T16:30:48 | null | UTF-8 | R | false | false | 1,142 | r | plot1.R | # Load required library
library(data.table)
library(base)
#setwd("C:\\coursera\\course4\\wk1\\project\\submit")
# download zip file
url <- "https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip"
zipName <- file.path(getwd(), "input_data.zip")
download.file(url, zipName)
unzip... |
f090d67e26b90df4686733632a5e53b7e3354bda | e4b593c614b6388e9c28eb50ea0379d62e0d8b3a | /G3_loanAnalysis_ModelBuilding2.R | 25060cf09dc53298bfc6235c2785e0c8b98567bd | [] | no_license | demonxy468/R-LoanAnalysis | bef594d3541cb8187aafa262e13931cb2648ebd2 | 8ded8585f24afb91107b274bb54502df8d16f02f | refs/heads/master | 2021-01-17T00:41:51.777214 | 2016-07-09T16:28:47 | 2016-07-09T16:28:47 | 62,958,222 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 4,218 | r | G3_loanAnalysis_ModelBuilding2.R | # IST 718 - Final Project
# Group 3 - Ha Nguyen - Jaydeep - Ye Xu
# File: G3_loanAnalysis_ModelBuilding2.R
# Purpose: Predict Good/Bad loan from lendingclub data
# Pre-processing data
# Run the file at working directory
source("G3_loanAnalysis_PreProcess.R")
# Output is transformed data loan3c_Reduced and... |
b6d735553e11e7caa55b38789b4086398d8eea04 | d44d9e695583b08a6dc6b41f16479406ae12444c | /inst/doc/bmassIntro.2.RealData.R | a6125556e3ad02d0bc239bd76fd4c12d405c0a3d | [] | no_license | cran/bmass | 70aeaae4dadda909b9eace7b96398c589fdb4d95 | a7e29d68c846db10377893741a387148a63fe99d | refs/heads/master | 2020-05-24T08:14:51.982486 | 2019-05-17T06:20:12 | 2019-05-17T06:20:12 | 187,180,500 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 5,882 | r | bmassIntro.2.RealData.R | ## ----eval=FALSE----------------------------------------------------------
# library("bmass");
# HDL <- read.table("jointGwasMc_HDL.formatted.QCed.txt.gz", header=T);
# LDL <- read.table("jointGwasMc_LDL.formatted.QCed.HDLMatch.txt.gz", header=T);
# TG <- read.table("jointGwasMc_TG.formatted.QCed.HDLMatch.txt.gz",... |
8d7b06f4d27cef60b57a0dbb667b7008846b79e5 | d0d916e9c0624bd92544754db5d92df57c477df7 | /scripts/read_na_data.R | 4d398e5cd1e12fad16169a762251a247fbd65521 | [] | no_license | keyes-timothy/med-pride | 156c97a8041a1365827bc13cad595b502fb062a1 | 59cbc245d3178071b776bef4498bc785118034f8 | refs/heads/master | 2023-04-08T18:12:44.733368 | 2023-03-24T03:15:59 | 2023-03-24T03:15:59 | 244,046,822 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 7,167 | r | read_na_data.R | ### Description
### This script reads and recodes data from the 2018-2020 MSPA National
### Needs-assessment of LGBTQ+ medical students in the United States.
# Author: Timothy Keyes
# Version: 2020-03-23
# Libraries
library(tidyverse)
# Parameters
in_path <- here::here("data-raw", "mspa_na_raw.csv")
names_path <- ... |
a43f2e8e716508873d1ac9c003ecfc8fe596ec98 | 6fb04083c9d4ee38349fc04f499a4bf83f6b32c9 | /man/initFgeneric.Rd | 88d98135d3ebb0cc139bb2b0ae85eec23cc04f37 | [] | no_license | phani-srikar/AdapteR | 39c6995853198f01d17a85ac60f319de47637f89 | 81c481df487f3cbb3d5d8b3787441ba1f8a96580 | refs/heads/master | 2020-08-09T10:33:28.096123 | 2017-09-07T09:39:25 | 2017-09-07T09:39:25 | 214,069,176 | 0 | 1 | null | null | null | null | UTF-8 | R | false | true | 523 | rd | initFgeneric.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/FLtestLib.R
\name{initFgeneric}
\alias{initFgeneric}
\title{initF.default helps to return a list of list.
Can be used for comparing results of R and FL functions which require two objects.}
\usage{
initFgeneric(specs = list(numberattribute = ... |
10418b79a10f3c459078586d91d71ca65c193a29 | ee54d7727df60cc156251f3b2c479a68ce376402 | /man/make_mgsm_psqn_obj.Rd | 850cdc1cbae681fc4a6a17af4163d2cde067c3ed | [] | no_license | boennecd/survTMB | ee108a47e8ca9e46095312a9afe779cfbe73351f | 6a691e1e94e22c0a948b86cb0aca6ed850e77278 | refs/heads/master | 2023-01-05T22:59:40.057713 | 2020-11-04T08:25:13 | 2020-11-04T08:25:13 | 250,332,290 | 4 | 1 | null | null | null | null | UTF-8 | R | false | true | 2,384 | rd | make_mgsm_psqn_obj.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mgsm-psqn.R
\name{make_mgsm_psqn_obj}
\alias{make_mgsm_psqn_obj}
\title{Create mgsm Object to Pass to psqn Method}
\usage{
make_mgsm_psqn_obj(
formula,
data,
df,
tformula = NULL,
Z,
cluster,
method = c("SNVA", "GVA"),
n_nodes ... |
e0233b11f4decdeea3734e581b9ef612bd08b97b | 8592e76d1aa97406f6b99f327d56ad9d9b553379 | /M09 - W04/jh_final_dataproduct/ui.R | 886f1453128f0208f32bdff13e223f7a28282d53 | [] | no_license | shostiou/JohnsHopkins | 527c75a4bfb670c090ab666fe687abc375de3052 | f18b7b489b3f788294d24a8882817502a607d044 | refs/heads/master | 2021-07-10T05:28:02.585274 | 2021-04-10T13:08:20 | 2021-04-10T13:08:20 | 238,987,739 | 0 | 1 | null | null | null | null | UTF-8 | R | false | false | 2,802 | r | ui.R | #
# This is the user-interface definition of a Shiny web application. You can
# run the application by clicking 'Run App' above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
# Libraries required for the project
library(shiny)
library(ggplot2)
library(tidyverse)
# ca... |
d340b09582dde24ede12a1dabcf738467e1b9bb7 | cdb0d033a36e2c2ea1d19a770ec6ef405a0a9543 | /R/defaultpost.R | e1749312342199b0a6e16e1cac5315e1e3630ce4 | [] | no_license | cran/rjmcmc | f40ce283ae608c2fb3a0f5b86d85392e8b76b162 | 0cc1714f6301a0e3e828fc058803a1b42e5bf7aa | refs/heads/master | 2021-01-22T22:24:04.328438 | 2019-07-09T13:20:02 | 2019-07-09T13:20:02 | 85,538,473 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 7,316 | r | defaultpost.R |
#' Perform Post-Processing Using Default Bijections
#'
#' Performs Bayesian multimodel inference, estimating Bayes factors and
#' posterior model probabilities for N candidate models. Unlike
#' \code{\link{rjmcmcpost}}, this function uses a default bijection scheme based
#' on approximating each posterior by a mult... |
dedccdfbaedf2422fe5067b4e83eded1d31c98e5 | a5a46c8f1109456f2cb063be8646c25bd89d7a34 | /Quiz4/Question2.R | 58604a608d12d3d44e7324122d3ebc1bcd578d50 | [] | no_license | SteveLi90/GettingAndCleaningData | 22a60bc989d436326fb008b8d9b85b1c082168ff | 59f4fb777eb839ded999612de6e69eadb3cf78f6 | refs/heads/master | 2021-01-18T07:38:59.992269 | 2014-07-30T06:35:58 | 2014-07-30T06:35:58 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 968 | r | Question2.R | # Load the Gross Domestic Product data for the 190 ranked countries in this data set:
# https://d396qusza40orc.cloudfront.net/getdata%2Fdata%2FGDP.csv
# Remove the commas from the GDP numbers in millions of dollars and average them. What is the average?
# Original data sources: http://data.worldbank.org/data-cata... |
35b443986c015daaf5f8f128fe8fd7e7a4a8f821 | 5d1db2e131d3d6ad2833800fe58c8c637b31ac9a | /man/divergence.Rd | 73630368309ddab03ef2a76d8cc8f8b12f72de84 | [] | no_license | cran/calculus | ff9bb3676aeb9c43f8bfb80b9464cfa40d08fb90 | 1ef6b6e778cd845389b99860148db23c88f2af3e | refs/heads/master | 2023-03-16T15:12:14.523441 | 2023-03-09T22:00:02 | 2023-03-09T22:00:02 | 236,567,271 | 0 | 0 | null | null | null | null | UTF-8 | R | false | true | 3,572 | rd | divergence.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/operators.R
\name{divergence}
\alias{divergence}
\alias{\%divergence\%}
\title{Numerical and Symbolic Divergence}
\usage{
divergence(
f,
var,
params = list(),
coordinates = "cartesian",
accuracy = 4,
stepsize = NULL,
drop = TRUE... |
5a50fe92642e761dc3f9970e5eb7d6ca0020f48e | c0230aa5c15c37a7cec0174f7e7bd04953fd04f8 | /R/packages.R | 1f09da5b4f31daaa130af5fa773a5ed5efd6c857 | [] | no_license | diegovalle/IRAG | 0e52b1c3e3accc2d91059ba2ad99d0fd6ec29abb | aea0ca21de8cdcdd4a4ae8b3ac71721c8ef63974 | refs/heads/master | 2021-04-19T05:33:32.771716 | 2020-06-02T00:00:48 | 2020-06-02T00:00:48 | 249,584,367 | 0 | 1 | null | null | null | null | UTF-8 | R | false | false | 562 | r | packages.R | ## Auto-Install the following packages
.packs <- c("ggplot2", "tabulizer", "dplyr", "stringr",
"rvest", "hrbrthemes", "scales", "tidyr",
"directlabels", "readxl",
"readr", "ggrepel", "mgcv", "tidybayes", "tsibble",
"lubridate", "forcats")
.success <- suppressWarnings(sa... |
75c0fbe3d0b1c890e286202258d099a956e63b16 | 17a7f2333706ad280247d187f4aedbeb32714714 | /weather-functions.R | 4e4fc22e4f61581b0d14ba066b9b57ce7c941353 | [] | no_license | t707722/city-weather | 90c3599d55f8ad0104dc2686ffacc132187a0eea | ef1eafcd9e246f8518b8ee0054c63be661f9d68b | refs/heads/master | 2020-09-08T02:13:14.001145 | 2018-09-04T13:26:26 | 2018-09-04T13:26:26 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 10,617 | r | weather-functions.R | library(shiny)
library(shinythemes)
library(highcharter)
library(readr)
library(dplyr)
library(tidyr)
library(tibble)
library(forcats)
require(readxl)
require(stringr)
require(data.table)
library(rlist)
## input data
#rm(list=ls()) # remove all vars
#rm(list = setdiff(ls(), lsf.str())) remove all variables except fun... |
17697116f991927c61ad2d8553d958f612c2637e | 38cb70928b8cc03fbf13c653bd1f091b43d190e8 | /inst/example/shinyColorPal/global.R | 7affc619d500c0be3d2177a1bb94a4fb6b372cda | [] | no_license | anhnguyendepocen/shinyCanvas | 99f0dd81fbd526443de0fe70972efb7eed3ee54c | e035cc31b139c997792c86e7d7fd8cf030c1d1b6 | refs/heads/master | 2020-04-30T02:08:50.109469 | 2017-11-17T14:49:24 | 2017-11-17T14:49:24 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 945 | r | global.R | library(shiny)
library(viridis)
library(shinyCanvas)
library(dplyr)
data=data.frame(x=1:1000,y=1:1000)
concaveman <- function(d){
library(V8)
ctx <- v8()
ctx$source('https://www.mapbox.com/bites/00222/concaveman-bundle.js')
jscode <- sprintf(
"var points = %s;var polygon = concaveman(points);",
jsonl... |
55d67eadefaece0dfe40a90a1d37cededfd23790 | 793b7407415860b23f113f748b3f5187f1b72eed | /core/svm.R | 04090fdaf3c006d290ad638b5549f17376d70bd9 | [] | no_license | Triskae/projet-r | 05218f6f62b11f8fa281fbfff9aabd50e563a86b | 335ac90eb0295a41ab6eb5e8d6f154bd2523e901 | refs/heads/main | 2023-05-03T23:04:26.761444 | 2021-05-01T14:14:27 | 2021-05-01T14:14:27 | 358,350,921 | 0 | 2 | null | null | null | null | UTF-8 | R | false | false | 2,336 | r | svm.R | #--------------------------------------#
# ACTIVATION DES LIRAIRIES NECESSAIRES #
#--------------------------------------#
attach(input[[1]])
needs(e1071)
needs(ROCR)
#-------------------------#
# PREPARATION DES DONNEES #
#-------------------------#
setwd('data')
data <- read.csv("dataset.csv", header = TRUE, sep = ... |
69af200b04f45fcc1e94f70f7d675cbfec71046e | 35c947850f680289cc537d04df2da3e476bd5f25 | /man/pedigree.format.genedrop.Rd | b45970f35f76d0dbced275b62408a86bb933705d | [] | no_license | susjoh/pedantry | 21c09022619ce81bee0a3311f92179f339ea8a0d | cac7b2b83b50dbda3e9da296603d40a7481ef332 | refs/heads/master | 2021-01-21T06:24:31.773899 | 2019-08-23T11:29:48 | 2019-08-23T11:29:48 | 83,225,863 | 0 | 0 | null | null | null | null | UTF-8 | R | false | true | 410 | rd | pedigree.format.genedrop.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pedigree.format.R
\name{pedigree.format.genedrop}
\alias{pedigree.format.genedrop}
\title{Format Pedigree for genedrop analysis}
\usage{
pedigree.format.genedrop(ped)
}
\arguments{
\item{ped}{Pedigree object. Run simple.ped.name.rules() for a... |
61b7b356c02e92b50358cbca7e21c5c2c4465019 | 01ddc13e55f3c1338ecfa86281e24f19bbfd205a | /man/Hill2oQV.Rd | 91cdb464aec1c9cb24db4d476d9b28438ce83a93 | [] | no_license | TReynkens/ReIns | 8618af18b88dc1b004f68b42312aceca4cbf979d | 257c145ed364658597f20546bee741f4ed0cabd6 | refs/heads/master | 2023-03-19T08:03:16.967323 | 2023-03-08T08:30:09 | 2023-03-08T08:30:09 | 39,773,959 | 18 | 17 | null | null | null | null | UTF-8 | R | false | false | 2,871 | rd | Hill2oQV.Rd | \name{Hill.2oQV}
\alias{Hill.2oQV}
\title{
Bias-reduced MLE (Quantile view)
}
\description{
Computes bias-reduced ML estimates of gamma based on the quantile view.
}
\usage{
Hill.2oQV(data, start = c(1,1,1), warnings = FALSE, logk = FALSE,
plot = FALSE, add = FALSE, main = "Estimates of the EVI", ...)
}
%- ... |
057a014bbe5369b85f72e870768d88c84d461a24 | 17780cb424c0fe6d9e0f5d6fe845abf77bb8a422 | /server.R | e166bdacd774fb16861bcae8c8e0cc361b05309e | [
"MIT"
] | permissive | AdamSpannbauer/rPackedBarDemo | 331d69b94f5c07daff399df5fc523dbfd5ed5347 | ada8ad859b6481d2c831571c1cf273ceae0d00b1 | refs/heads/master | 2020-06-04T03:13:21.218705 | 2019-06-16T20:04:53 | 2019-06-16T20:04:53 | 191,850,405 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 5,606 | r | server.R | shinyServer(function(input, output, session) {
output$user_name_input_ui = renderUI({
queried_user = parseQueryString(session$clientData$url_search)[["user"]]
default_user = if (is.null(queried_user)) DEFAULT_USER else queried_user
div(
textInput(
inputId = "user_name_input",
label... |
22719f641f02193ff76960ce5e543ed27b340981 | cde1c8e53ba3b32693dc55543318d5b7d76d5bed | /wk4 proj/abalone_script.R | 7c6e11352649c8b64c2a72abcf2c2b8824b454e0 | [] | no_license | chanovin/dev_data_prod | 3d845deefc6a7ee6e041e6356bce38d286956e73 | 2f8bd54890e8df8f35ba4edb4902f683f95f9953 | refs/heads/master | 2021-01-18T04:03:57.944334 | 2017-03-30T18:30:37 | 2017-03-30T18:30:37 | 85,768,193 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 515 | r | abalone_script.R | library(caret)
abalone <- read.csv(url("http://archive.ics.uci.edu/ml/machine-learning-databases/abalone/abalone.data"),
header=FALSE)
names(abalone) <- c("sex","length","diameter","height","whole_wt","shuck_wt","visc_wt","shell_wt","rings")
abalone$rings <- as.factor(abalone$rings)
fit <- train(rin... |
9b450df4e9f902b214090152541153ec42e1bc76 | 90fa7bd362d2d35492e76ab25e6caf1066ed6bbf | /cachematrix.R | 2d5846d6ef494b3ad68ff829c29f7d2174729575 | [] | no_license | srsmith13/ProgrammingAssignment2 | 4203db22c4ddca030cb4da1008d7a2535f02659f | 7c8ec356737ec8686348397d90078cb42d59130d | refs/heads/master | 2021-01-21T00:00:54.269331 | 2015-02-21T14:59:34 | 2015-02-21T14:59:34 | 30,810,624 | 0 | 0 | null | 2015-02-14T22:21:25 | 2015-02-14T22:21:25 | null | UTF-8 | R | false | false | 1,706 | r | cachematrix.R | ## Takes a matrix as input, calculates the inverse and caches its value.
## If inverse has already been calculate, retrieves value from cache.
## If inverse has not already been calculated, computes, returns, and caches inverse
## MakeCacheMatrix creates a special matrix of functions that
## Set the value of matrix
##... |
7b5103e9112fb98f925c1ecb99e3a0e310663f38 | 1b01ee568a3a4d660aab12bca8854dc6326893ce | /plot2.R | 5f6bd41d8e6de296c9766edff57f961aba0ba2e5 | [] | no_license | Verunka/ExData_Plotting1 | d45190f1bd56c9dad184fc4c41213fcd95ad2bf8 | 606f54eb6742854a8ad73eb582f006d1407c92f6 | refs/heads/master | 2021-01-09T09:04:46.559623 | 2015-10-11T11:48:30 | 2015-10-11T11:48:30 | 44,023,053 | 0 | 0 | null | 2015-10-10T18:33:48 | 2015-10-10T18:33:48 | null | UTF-8 | R | false | false | 840 | r | plot2.R | Sys.setlocale("LC_ALL", "C")
#Read in the data
#Please make sure that the household_power_consumption.txt file is in your working directory
hcp <- read.table("household_power_consumption.txt", header = TRUE, sep = ";", na.strings = "?")
#Convert the Date variable into date class
hcp$Date <- as.character(hcp$Date)
hc... |
a0b1814761abf2dbd9b1e763064667cfef8bfc48 | 1c355458ec6afe873276128a169d04305e789522 | /man/bin_mean.Rd | 8f250838ed1de3d1e2ad07e3942cf28cb14ccdc0 | [] | no_license | Agatemei/binomial | 5a6d5f408a5ebfa2102b8f4a7dc4de8158cd8a82 | 174456a4d1912d07dbc16c0b7780b7373cccfaf7 | refs/heads/master | 2020-05-18T10:05:03.306971 | 2019-05-01T23:54:49 | 2019-05-01T23:54:49 | 184,187,043 | 0 | 0 | null | null | null | null | UTF-8 | R | false | true | 398 | rd | bin_mean.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/functions_of_measures.R
\name{bin_mean}
\alias{bin_mean}
\title{bin_mean}
\usage{
bin_mean(trials, prob)
}
\arguments{
\item{trials}{number of trials}
\item{prob}{value of head probability}
}
\value{
computed mean value
}
\description{
calcu... |
dba8793e463c1c7cc1fdc03180336f7c62070a72 | f0489c47853fc78a49bfbc28ca3cf39798b17431 | /man/minfit-NMFfitXn-method.Rd | 5ace55563748028fc572a8968e928e03b9ed3945 | [] | no_license | pooranis/NMF | a7de482922ea433a4d4037d817886ac39032018e | c9db15c9f54df320635066779ad1fb466bf73217 | refs/heads/master | 2021-01-17T17:11:00.727502 | 2019-06-26T07:00:09 | 2019-06-26T07:00:09 | 53,220,016 | 0 | 0 | null | 2016-03-05T19:46:24 | 2016-03-05T19:46:24 | null | UTF-8 | R | false | true | 400 | rd | minfit-NMFfitXn-method.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/NMFSet-class.R
\docType{methods}
\name{minfit,NMFfitXn-method}
\alias{minfit,NMFfitXn-method}
\title{Returns the best NMF model in the list, i.e. the run that achieved the lower
estimation residuals.}
\usage{
\S4method{minfit}{NMFfitXn}(obje... |
124c0ad474f6d9c03e11342b3adb2ad13464d0ed | 4846b5b3748b6724d7c379dae7572e9fa90a798d | /man/runStereogeneOnCapR.Rd | e43e687382be08d87726c92191992a88e8a9563d | [] | no_license | vbusa1/nearBynding | d225bcbdb1541b65c3f01604a1affd8ff51b068a | 9ccf2b0e7fec87c426cf37fe45077d67abef210a | refs/heads/master | 2023-04-07T19:01:47.323219 | 2021-07-30T17:39:58 | 2021-07-30T17:39:58 | 278,680,217 | 1 | 0 | null | null | null | null | UTF-8 | R | false | true | 1,796 | rd | runStereogeneOnCapR.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/runStereogeneOnCapR.R
\name{runStereogeneOnCapR}
\alias{runStereogeneOnCapR}
\title{runStereogeneOnCapR}
\usage{
runStereogeneOnCapR(
dir_CapR_bg = ".",
input_prefix,
protein_file,
output_prefix = input_prefix,
name_config = "config... |
42f1d1e9a0a4030ec3790e5b0efd7619f38ad6d8 | 18347ef9bc1f489e63e83cf03338b7211d21b7c8 | /man/mutate_variables.Rd | 61bff0f2a13cd3eb0b8e452550ea3d75ce10d331 | [
"BSD-3-Clause",
"CC-BY-4.0"
] | permissive | stan-dev/posterior | cd1e0778f5b930b7ef97b9c1f09167f162fb9d7e | 55e92336c2984be1a2487cdd489552a07e273d70 | refs/heads/master | 2023-08-18T07:53:15.023052 | 2023-08-07T08:13:36 | 2023-08-07T08:13:36 | 212,145,446 | 105 | 20 | NOASSERTION | 2023-08-07T08:13:37 | 2019-10-01T16:30:28 | R | UTF-8 | R | false | true | 2,176 | rd | mutate_variables.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mutate_variables.R
\name{mutate_variables}
\alias{mutate_variables}
\alias{mutate_variables.draws_matrix}
\alias{mutate_variables.draws_array}
\alias{mutate_variables.draws_df}
\alias{mutate_variables.draws_list}
\alias{mutate_variables.draws... |
fd3cca8fcf75c4c9bfc7304143275dcc38e46481 | 4990db0abc12c9d4e4d09f89a897441b68395312 | /[프로젝트]src/상관관계.R | 47016dafd151e28e2d8085069de04c00f5c78514 | [] | no_license | leegangho/BigDataCampus | 6993b8a934871e50279a393af8994e032c175ed6 | 4c080bdd7351ef65b0fe1709932f30d73d1b9728 | refs/heads/master | 2020-06-17T01:00:27.825531 | 2019-08-30T06:55:59 | 2019-08-30T06:55:59 | 195,749,439 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 536 | r | 상관관계.R | setwd("C:/Users/fkaus/OneDrive/바탕 화면/데이터캠퍼스 프로젝트/데이터")
cor.buy.car<- read.csv("소득수준상관관계.csv",header=T)
head(cor.buy.car)
# -0.0748
# 약한 음의 관계 거의 의미가 없다.
cor(cor.buy.car$소득수준,cor.buy.car$수소차)
# p-value:0.7829
# alternative hypothesis: true correlation is not equal to 0
cor.test(cor.buy.car$소득수준,cor.buy.car$수소차)
c... |
c33dcefad4dc038f1edcebbe791db1df0c648953 | 69798ccc364cb158606eb72c7bf5024b49cf82f8 | /code_correlation_analysis/encRNA_triplets_putatative_interaction.R | 0ce7d3632b0ea3a8f78fd10c05ed19202536d282 | [] | no_license | cwt1/encRNA | 522da7028bc7cfa9f95c00f61274839ae19f6374 | c8f20e5a63cdbd738395b2b0694d4035fabefc97 | refs/heads/master | 2021-06-03T00:29:24.580932 | 2016-10-24T18:48:04 | 2016-10-24T18:48:04 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 6,896 | r | encRNA_triplets_putatative_interaction.R | setwd("/media/ducdo/UUI/Bioinformatics/Summer Research/Cancer_Survival/encRNA_methylation_260616")
source("/media/ducdo/UUI/Bioinformatics/Summer Research/Cancer_Survival/encRNA_methylation_260616/code_correlation_analysis/helper_functions.R")
load("data_Saved_R_Objects/corr_matrices/normal_tumor_encRNA_triplets.rda")
... |
a7c17e904b5d62bdbf112ad9e34385e93bc0e0d9 | 484fe2afb7904ed2c9b090de6302a4a0eb177a3b | /man/abbReviations-package.Rd | 8c6fa7af0006e684ecc5499e04a7f87d0b676726 | [] | no_license | johnmyleswhite/abbReviations | 13e97c45decaaf7f2a1e9c0c5f766522033563b9 | 8a6355e25a534454cf38e7beb3067dd761e0e235 | refs/heads/master | 2021-01-21T17:45:44.344004 | 2012-05-13T02:45:05 | 2012-05-13T02:45:05 | 4,175,256 | 2 | 1 | null | null | null | null | UTF-8 | R | false | false | 584 | rd | abbReviations-package.Rd | \name{abbReviations-package}
\alias{abbReviations-package}
\alias{abbReviations}
\docType{package}
\title{
Translate back-and-forth between abbreviations.
}
\description{
Translate back-and-forth between abbreviations.
}
\details{
\tabular{ll}{
Package: \tab abbReviations\cr
Type: \tab Package\cr
Version: \tab 0.1-2\cr... |
ab33e9c936f067b6555ccc53df16ff46ca90cd3b | 2f52c876827a32bb9f1e18b82cf78c5ef644f073 | /rbind.R | 38164acc01a005c6441b28c0708413fef7e06d9e | [] | no_license | Lina900904/R-lang | 65a4b93298d222e72f625e725196665b4cea3555 | 1ac6cbbda666765014f8a856dc92bf36032268b7 | refs/heads/master | 2020-03-22T06:55:07.848748 | 2018-07-10T08:13:49 | 2018-07-10T08:13:49 | 139,666,247 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 939 | r | rbind.R | rrr <- function(ssss){
return (
switch(
toString(ssss),
"1"=rbind(matrix(c(1,0,0,0),nrow=1, ncol=4, byrow=TRUE),
matrix(c(2,3,0,0), nrow=1, ncol=4,byrow=TRUE),
matrix(c(4,5,6,0), nrow=1, ncol=4,byrow=TRUE),
matrix(c(7,8,9,10), nrow=1, ncol=4,byrow=T... |
8c40ce3faf1d5f480cba80bd1fe798dcbfdccab8 | 00daf46a1286c20caa103a95b111a815ea539d73 | /R/otherClasses.R | b3756b208c5e191ca17e9ec22fe53ac021415811 | [] | no_license | duncantl/Rllvm | 5e24ec5ef50641535895de4464252d6b8430e191 | 27ae840015619c03b2cc6713bde71367edb1486d | refs/heads/master | 2023-01-10T15:12:40.759998 | 2023-01-02T18:05:26 | 2023-01-02T18:05:26 | 3,893,906 | 65 | 14 | null | 2017-03-09T07:59:25 | 2012-04-01T16:57:16 | R | UTF-8 | R | false | false | 743 | r | otherClasses.R | setClass("StructTypeWithNames", representation(names = "character"), contains = "StructType")
setClass("DoubleType", contains = "Type") #XXX Not in LLVM
# A separate class so we can identify a StringType from a generic pointer since now they both use i8*
setClass("StringType", contains = "Type")
# R specific type... |
6446e9cb0e7b6af06433266b5e8d4fcc11dc2c7a | 9fecce6f3ef41202cdcc855f4b0baff36131eacc | /Analysis/old_analysis/Metiers/bin/05_figures/SI_fig.R | ea76d17331363bb33f53e2698d7cd4cc08ba6e25 | [] | no_license | emfuller/cnh | 0487e9647837d8fc999850b5951ff6331f9a5159 | 8b36faf8c73607d92e59e392fff3c0094b389d26 | refs/heads/master | 2021-05-01T08:02:52.200343 | 2019-04-06T18:25:48 | 2019-04-06T18:25:48 | 28,717,834 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 4,156 | r | SI_fig.R | # plot composition of fisheries
# S1
# species table
library(reshape2)
library(dplyr)
tickets <- readRDS("/Users/efuller/Desktop/CNH/Analysis/Metiers/bin/04_data_output/vessel_landings_data.RDS")
met_summary <- tickets %>%
group_by(metier.2010, modified) %>%
summarize(revenue = sum(adj_revenue, na.rm = T)) %>%
gr... |
9efce5710115340187d5874a9c1950574e88ab07 | 0aa63f99a9ebe79e55cc09338d5bb4ce2377fd83 | /man/exportInstruments.Rd | 3ea0273cdff745eb3a914a85d86cc603413d7959 | [] | no_license | nutterb/redcapAPI | c13b890b5d33b40c134833155861ee42d44b06c7 | 9b7287106198581c352fc91492d83fc7806d2bd7 | refs/heads/main | 2023-09-01T07:41:41.326514 | 2023-08-28T14:02:23 | 2023-08-28T14:02:23 | 11,691,011 | 47 | 31 | null | 2022-11-03T22:49:05 | 2013-07-26T17:31:51 | R | UTF-8 | R | false | true | 1,886 | rd | exportInstruments.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/exportInstruments.R
\name{exportInstruments}
\alias{exportInstruments}
\alias{exportInstruments.redcapApiConnection}
\title{Exports the REDCap Instruments}
\usage{
exportInstruments(rcon, ...)
\method{exportInstruments}{redcapApiConnection}(... |
ac93c09b266f615309ebd211a0ae6e5b49b1e5d7 | b85cb92935407d40d03405ea09a7f96d005c1954 | /Functions/cov_func.R | 46b60ac309d3eb3e374ac69e29fa7d102b6cd015 | [] | no_license | enerhiya/Spatio-Temporal-Cross-Covariance-Functions-under-the-Lagrangian-Framework | 0cccffd7a98d13e4f4c7353d9c42e923ae34dbdd | 5084f24d9b89c9bff2794b0575a44d7ea0ccaf54 | refs/heads/master | 2021-06-18T19:50:38.829233 | 2021-02-17T17:09:46 | 2021-02-17T17:09:46 | 177,747,457 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 38,555 | r | cov_func.R | #---------STATIONARY------------#
frozen_matern_cov_parapply <- function(wind, max_time_lag = 1, q = 2, LOCS = locs_demean, theta = space_params){
################### ###################
################### RETURNS a q * nrow(LOCS) * (max_time_lag + 1) x q * nrow(LOCS) * (max_time_lag + 1) matrix #######... |
931bd68adfac1a75c4d01f0350642c716b8ff2a7 | a3c78700a65f10714471a0d307ab984e8a71644d | /base/settings/man/read.settings.Rd | 136aad2d1613c0d35bbfe379a33d23286ab81f1c | [
"NCSA",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | PecanProject/pecan | e42a8a6a0fc9c0bb624e0743ab891f6cf131ed3f | ce327b92bf14498fa32fcf4ef500a7a5db5c9c6c | refs/heads/develop | 2023-08-31T23:30:32.388665 | 2023-08-28T13:53:32 | 2023-08-28T13:53:32 | 6,857,384 | 187 | 217 | NOASSERTION | 2023-09-14T01:40:24 | 2012-11-25T23:48:26 | R | UTF-8 | R | false | true | 1,465 | rd | read.settings.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/read.settings.R
\name{read.settings}
\alias{read.settings}
\title{Loads PEcAn settings file}
\usage{
read.settings(inputfile = "pecan.xml")
}
\arguments{
\item{inputfile}{the PEcAn settings file to be used.}
}
\value{
list of all settings as ... |
75b158c502220b2c8874cbfb35628e336096c572 | 2a7e77565c33e6b5d92ce6702b4a5fd96f80d7d0 | /fuzzedpackages/Rfast/man/is_element.Rd | 8abc762546e4bfb8406f5de60190b039ca7f9332 | [] | no_license | akhikolla/testpackages | 62ccaeed866e2194652b65e7360987b3b20df7e7 | 01259c3543febc89955ea5b79f3a08d3afe57e95 | refs/heads/master | 2023-02-18T03:50:28.288006 | 2021-01-18T13:23:32 | 2021-01-18T13:23:32 | 329,981,898 | 7 | 1 | null | null | null | null | UTF-8 | R | false | false | 978 | rd | is_element.Rd | \name{Find element}
\alias{is_element}
\title{
Find element
}
\description{
Search a value in an unordered vector.
}
\usage{
is_element(x, key)
}
\arguments{
\item{x}{
A vector or matrix with the data.
}
\item{key}{
A value to check if exists in the vector x.
}
}
\details{
Find if the key ex... |
f8dddbbb36e35bf644161175556fb9ec1c6b65ff | 7f3ebc404f3e2a93a267eec0cc2f536e01bc0cab | /app/Transportation.R | af104a039682ad84535115f13f475ef1c33f37a7 | [] | no_license | DDDaiii/Shiny-App-Development---SuperHunt | f163650138b8ecbb3a503a416f7eb8bce28fa905 | 16794991929ea5e30292607ff5bbd3a6aace0b25 | refs/heads/master | 2020-12-10T05:57:02.698811 | 2020-02-10T01:25:17 | 2020-02-10T01:25:17 | 233,519,109 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 3,575 | r | Transportation.R |
library(shiny)
library(ggmap)
library(dplyr)
library(leaflet)
library(revgeo)
###Load data###
bus_count = read.csv('/Users/MacBook/Desktop/Data/bus_count.csv')
subway_count = read.csv('/Users/MacBook/Desktop/Data/subway_count.csv')
bus_stops = read.csv('/Users/MacBook/Desktop/Data/bus_stops.csv')
subway_stops = read... |
bd07e8aa74c8fae5f8309fa4dad43d677e3c0431 | 1adbabec184f1ef6ee5e55462b03e4d19c71dce6 | /Simulation study code/Old versions/gen_sbatch_mice.R | 04f18375db65116f9a0b12fa83733e8e4ac6c5e9 | [] | no_license | mayamathur/multiple_outcomes | 61434c2cbefaf966bdfe789db4513ab874833fed | 6a62511807e8aea155de62e4d95f13a893832e9f | refs/heads/master | 2023-04-06T20:09:04.094926 | 2023-03-16T18:28:04 | 2023-03-16T18:28:04 | 117,344,251 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 3,341 | r | gen_sbatch_mice.R |
########################### SET SIMULATION PARAMETERS MATRIX ###########################
# FOR CLUSTER USE
path = "/share/PI/manishad/multTest"
setwd(path)
# FOR LOCAL USE
# path = "~/Dropbox/Personal computer/HARVARD/THESIS/Thesis paper #2 (MO)/Sandbox/2018-1-13"
# setwd(path)
n = 1000
nX = 1
nY = 40
rho.XX = 0
r... |
7045db0bc1ef8c8a08159dce07689d9c31990d21 | a128e97f5ed10bd283a05b329a1e96d3be4ed7f8 | /R_Basic&ggplot/R_Base_Review.R | bfd987f3dd6be7c385a061aed73e3d2a225ce3df | [] | no_license | dandipeng/R_Project | 4e870f71b1b3ba7b698ab55f163747011bb5e916 | a6840ef61cd7e14e5d074e256bb1934ae235fe89 | refs/heads/master | 2020-06-04T16:20:31.429094 | 2019-07-01T22:29:18 | 2019-07-01T22:29:18 | 192,100,492 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 8,352 | r | R_Base_Review.R | # R Project Review
# get directory
getwd()
# reset directory
setwd('Documents/Programming/R_Project/R_Basic_ggplot/')
# list files/directories in a directory
list.files()
setwd('..') # set directory to the parent one
list.dirs()
# reset to what we want
setwd('R_Basic_ggplot/')
# list all items in current global environ... |
a1503369d544a1499957ed6aeda53f16a1b6f728 | 597abe32c64a0c065f99fe3fdc1dcd637549777f | /R/check_funs.R | 9dc5545884f166a71d1bdc0ac4e2ff98835509e5 | [] | no_license | HuidongTian/nordcanpreprocessing | e63a5f0204097f13dfec087f41aa7a0d39263103 | 77a82e31728fba63e4602de14a9b1e433fea6f06 | refs/heads/master | 2022-11-01T14:27:51.903385 | 2020-04-16T11:46:18 | 2020-04-16T11:46:18 | 273,481,284 | 0 | 0 | null | 2020-06-19T11:50:25 | 2020-06-19T11:50:25 | null | UTF-8 | R | false | false | 1,355 | r | check_funs.R |
#' @importFrom easyassertions assert_is_data.table_with_required_names
check_nordcan_cancer_case_dataset <- function(
x,
check_col_nms = nordcancore::nordcan_col_nms()
) {
nordcancore::assert_is_set_of_nordcan_col_nms(test_col_nms)
easyassertions::assert_is_data.table_with_required_names(
x,
requir... |
0849fd3b0bb3aa19bea83e4f2bac45a11e787127 | 25a6eea4150a277e0808203cf31882fd92f78170 | /man/plot_matrix.Rd | 97a9f0826c0e38f13f335377d5963250a1babb59 | [] | no_license | Giappo/jap | 42e1142546c85f97d262c2409ef5aa0cfd3f94dd | 0fbfd381b77f2c0f744f4b7cf5726807fb3b186a | refs/heads/master | 2021-08-16T08:17:19.535440 | 2020-08-25T16:07:03 | 2020-08-25T16:07:03 | 215,803,412 | 2 | 2 | null | 2020-08-25T16:07:04 | 2019-10-17T13:46:52 | R | UTF-8 | R | false | true | 455 | rd | plot_matrix.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utility_functions.R
\name{plot_matrix}
\alias{plot_matrix}
\title{Just plot a matrix without rotating it}
\usage{
plot_matrix(mat, logs = TRUE, low_triangular = FALSE)
}
\arguments{
\item{mat}{a matrix}
\item{logs}{do you want to plot in log... |
f008195cf1ca703c9b4a65d21b13af24f2d20bb8 | aee2c11aff6bd0874a03fbd16f852ad785efe5ba | /man/getData4haemkrt.Rd | c031db340d1a36f5c873e5fe34630ca34d1cde7e | [
"MIT"
] | permissive | maciejrosolowski/progressdatenbankderivate | bca72eadf47ba2dcffeed80cc120f25458f13581 | 1a2e31ed7e62970a0206883173d32e14d888563d | refs/heads/master | 2021-02-18T18:34:28.100509 | 2020-08-02T13:07:09 | 2020-08-02T13:07:09 | 245,223,654 | 0 | 0 | null | null | null | null | UTF-8 | R | false | true | 854 | rd | getData4haemkrt.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/getData4haemkrt.R
\name{getData4haemkrt}
\alias{getData4haemkrt}
\title{Get data on haematocrit.}
\usage{
getData4haemkrt(FRM_DIL_LABORWERTE)
}
\arguments{
\item{FRM_DIL_LABORWERTE}{data.table containing the table FRM_DIL_LABORWERTE
from the ... |
85da9f46bf875ae23184ef096e428160ddf71f4b | f74aea7ec8f87cadf072872c7dabd75c5bb4deef | /man/parse_PROCESSED_CSV.Rd | 40b40cf9c4bcb331e524ffe7be8e63e7ac632574 | [
"MIT"
] | permissive | jinshijian/cosore | cd00622451f7033cf1647676247787d2cce4a15e | bf60add39633b8235afb97bcb816e9e3f34f4a3c | refs/heads/master | 2020-05-31T01:16:31.660552 | 2019-06-03T18:12:51 | 2019-06-03T18:12:51 | 190,047,180 | 1 | 0 | MIT | 2019-06-03T17:02:12 | 2019-06-03T17:02:12 | null | UTF-8 | R | false | true | 511 | rd | parse_PROCESSED_CSV.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/parse-LI8100.R
\name{parse_PROCESSED_CSV}
\alias{parse_PROCESSED_CSV}
\title{Read processed data in CSV format}
\usage{
parse_PROCESSED_CSV(path)
}
\arguments{
\item{path}{Data directory path, character}
}
\value{
A data frame with all data r... |
bf430fe4e18c8e8b140a43a1e002b048cb3b1a5c | 29585dff702209dd446c0ab52ceea046c58e384e | /mousetrack/R/pathoffset.R | f182c2b5d73c4ae40b6f737e174ce966e3d323ec | [] | no_license | ingted/R-Examples | 825440ce468ce608c4d73e2af4c0a0213b81c0fe | d0917dbaf698cb8bc0789db0c3ab07453016eab9 | refs/heads/master | 2020-04-14T12:29:22.336088 | 2016-07-21T14:01:14 | 2016-07-21T14:01:14 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 714 | r | pathoffset.R | # Calculate path offset and its max
.packageName <- 'mousetrack'
pathoffset <- function(x,y){
# require("pracma") ## to compute the vector cross-product
startend = c( (y[length(y)] - y[1]), (x[length(x)] - x[1]))
startenddistance = sqrt(sum(startend^2))
perpdistance = vector()
for (m in 1:lengt... |
7e97978f49648137e331c6b0509f361149fbbccb | 516c650a67e8b3188b52ff54fba410498014a979 | /man/verhoeff_validate.Rd | b76ae9db634784b3bc67576ab12740a7b2f355f5 | [] | no_license | condwanaland/verhoeff | 1e3aba2742f3fc7995bae13057a06af16839abaa | bf6658d4e48d1a224a9f766522bfbc670e3e5b7b | refs/heads/master | 2021-09-08T16:50:00.198575 | 2021-08-29T04:14:50 | 2021-08-29T04:14:50 | 124,794,870 | 0 | 0 | null | null | null | null | UTF-8 | R | false | true | 572 | rd | verhoeff_validate.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/verhoeff.R
\name{verhoeff_validate}
\alias{verhoeff_validate}
\title{verhoeff_validate}
\usage{
verhoeff_validate(number, check_digit)
}
\arguments{
\item{number}{A numerical input}
\item{check_digit}{An existing check digit for the input nu... |
fd0b382a0f5dc131ce2914f51c150e8519a32614 | c9ce3de18238db9b2c62f57a2c49128f226bccdd | /R/R Shiny App Tutorial - Building Interactive Web Apps in R using Shiny/Tutorial 20/ui.R | 26295399b3f4d72a4eee4acad62b0c99d2acc0fa | [] | no_license | AdamYuWen/LearningProgramming | 1ebc7d8bb942846dda7b2fff795af157d19fed47 | 34d3276923224db848db818d4322a2dd28ac7be4 | refs/heads/master | 2023-05-20T20:37:57.269187 | 2021-06-07T00:46:31 | 2021-06-07T00:46:31 | 203,454,875 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 649 | r | ui.R | library(shiny)
shinyUI(fluidPage(
titlePanel(title = h4("Tutorial 20", align = "center")),
sidebarLayout(
sidebarPanel(
selectInput(inputId = "Year",
label = "Year",
choices = unique(data$Year)),
# The choices are conditional, so it is empty for now.
sele... |
823ee99e4474e74db40f3c69c7a05703d1657fb3 | 2b5747d64097df379b18df4a03bba21971517da1 | /demo/apps/linked-hover/ui.r | 03c8865a591811a93253076d454ffa03f8bbd128 | [] | no_license | Lingbing/ggvis | dde1407276b2421bd2b84e62a2e35a8230a3c439 | 4c6f9830ec35e586b59fba819c48b4ac7616a5c2 | refs/heads/master | 2020-04-03T08:57:06.298252 | 2013-09-30T22:46:29 | 2013-09-30T22:46:29 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 294 | r | ui.r | shinyUI(pageWithSidebar(
headerPanel("ggvis plot"),
sidebarPanel(
uiOutput("ggvis_ui"),
ggvisControlGroup("plot1")
),
mainPanel(
ggvis_output("plot1"),
ggvis_output("plot2"),
h3("Hover data (sent from client to server)"),
verbatimTextOutput("hover_data")
)
))
|
39d9655f0f8d8f3a1ede446cf55b00d1d310cac6 | 93feed59a42c1edd9b8979bb26acaa598477c9c1 | /functions/importAirbase.R | 9c9b83922e55fbc573194f18ea915414f3b02f01 | [] | no_license | eliavs/Wind | 6dc0693ac95f0f3e78706af9747cf0dbe59c8f3d | bd2f2b221d01cee76b61a4724dbad12ba7f9a5c2 | refs/heads/master | 2021-01-19T18:10:33.391593 | 2017-02-27T14:25:44 | 2017-02-27T14:25:44 | 11,786,834 | 2 | 2 | null | null | null | null | UTF-8 | R | false | false | 5,397 | r | importAirbase.R | ##' Import European Environment Agency airbase hourly air quality data
##'
##' The European Environment Agency (EEA) makes available hourly air
##' pollution data from across Europe (see
##' \url{http://acm.eionet.europa.eu/databases/airbase/}). The EEA go
##' to great lengths to compile, check and make available a hug... |
7cecc9626c3e0a4a48078d7262e68f1c1f956d36 | fa809b4109757cc3b82923ddd40e4adc2cf3baac | /plot3.R | 13251652742d43227dd1f6364fbdb31eaebd1dd2 | [] | no_license | cransford-copart/ExData_Plotting1 | a7f17fe8cf716a9a723c5f5f59b68a7cbefdc340 | 286952b3a9181d8320b3d30e3da7b6aa6e363b7c | refs/heads/master | 2020-03-28T16:49:03.904757 | 2018-09-17T00:28:24 | 2018-09-17T00:28:24 | 148,731,436 | 0 | 0 | null | 2018-09-14T03:34:43 | 2018-09-14T03:34:43 | null | UTF-8 | R | false | false | 1,149 | r | plot3.R | library(chron)
library(ggplot2)
energyDf <- read.delim("~/exploratory_data_analysis_wk1/household_power_consumption.txt", stringsAsFactors = FALSE, sep = ";")
energyDf$Date <- as.Date(energyDf$Date, format = "%d/%m/%Y")
energyDfSubset <- as.data.table(energyDf)[Date >= "2007-02-01" & Date <= "2007-02-02"]
energyDfSub... |
975b56422754602c83211d200ef82479e08ce8b0 | 184180d341d2928ab7c5a626d94f2a9863726c65 | /valgrind_test_dir/rcpp_kronDBS-test.R | c717d33473b37e82fa49d5f48eeb4d06bc435227 | [] | no_license | akhikolla/RcppDeepStateTest | f102ddf03a22b0fc05e02239d53405c8977cbc2b | 97e73fe4f8cb0f8e5415f52a2474c8bc322bbbe5 | refs/heads/master | 2023-03-03T12:19:31.725234 | 2021-02-12T21:50:12 | 2021-02-12T21:50:12 | 254,214,504 | 2 | 1 | null | null | null | null | UTF-8 | R | false | false | 234 | r | rcpp_kronDBS-test.R | function (A, B, p)
{
e <- get("data.env", .GlobalEnv)
e[["rcpp_kronDBS"]][[length(e[["rcpp_kronDBS"]]) + 1]] <- list(A = A,
B = B, p = p)
invisible(c(".Call", "_CGGP_rcpp_kronDBS", "CGGP", "A", "B",
"p"))
}
|
e79531528b3fe183081510ebbc984b5ca8bad5e4 | b8b3443e3b7021e9ac458bc12166f3e6f470843d | /examples/propagation_pipeline_example.R | 592daa27eb89af25c5d1db70d010b1dc3fc21459 | [
"MIT"
] | permissive | taylorpourtaheri/nr | e745a5734ca244e642ef089d9dfd20b957f00852 | 5c2710c197533ecf8b439d58d3d317bc203ac990 | refs/heads/main | 2023-07-14T04:53:48.773417 | 2021-08-11T22:15:55 | 2021-08-11T22:15:55 | 386,658,478 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 1,022 | r | propagation_pipeline_example.R | # load relevant packages
library(STRINGdb)
library(igraph)
library(ggplot2)
library(ggnetwork)
library(dplyr)
library(glue)
library(devtools)
# load all package functions
load_all()
# read differential expression data (annotated with gene symbols)
de_string <- readRDS('data/de_string_v11.RDS')
# select MYC condition... |
1fac8c7bf4d6ba3802cb542cdba08d4913230625 | bfaa4377e6efac6c40c65a10bc6f125b97d7361b | /w7/script7.R | 4a2a4f2984609da584f90213f461fca3688659f4 | [] | no_license | ekosovan/RfEX_stud_version | 2edd0fe532f9531996d8312f2238a29c9667fcb3 | 34b136767665ed6204720de42c8d5b6a3aa28854 | refs/heads/master | 2020-07-16T14:21:03.691888 | 2019-12-17T13:15:12 | 2019-12-17T13:15:12 | 205,804,828 | 1 | 13 | null | 2019-12-16T10:51:59 | 2019-09-02T07:53:06 | HTML | UTF-8 | R | false | false | 2,301 | r | script7.R | library('magrittr')
romeo = readLines("http://www.gutenberg.org/cache/epub/1112/pg1112.txt", encoding = "UTF8")
romeo %<>% {.[. != ""]}
first_line = which(romeo[1:100] == "1595")
romeo = romeo[-1:-first_line]
persons = romeo[4:28]
corpus = romeo[-1:-32]
library(stringr)
corpus[1:4] %>%
print() %>%
str_length()... |
91c08e45d817681c882b44c4c1acca338b015c7d | de71c62e745b048c95c08f7e516d4aaa215a0194 | /man/mean_beta.Rd | 479d129909fd1b5b2e0e779e41e51f470656439d | [
"MIT"
] | permissive | jjbrehm/BadApple | 55db2fa7208a5231f06b4aded8b9838dd12fd174 | 0fe9a9742c53fdafa8788c90f905f8d2d3c7d913 | refs/heads/master | 2023-02-05T21:42:05.624824 | 2020-12-22T18:45:47 | 2020-12-22T18:45:47 | 277,906,381 | 1 | 0 | null | null | null | null | UTF-8 | R | false | true | 336 | rd | mean_beta.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mean_beta.R
\name{mean_beta}
\alias{mean_beta}
\title{mean_beta}
\usage{
mean_beta(betaobj, testvals, brange = c(0, 1))
}
\arguments{
\item{betaobj}{betamle object}
\item{testvals}{vector}
\item{brange}{vector}
}
\value{
vector
}
\descripti... |
f42364354e23173f054021a12e9cdc27ede64389 | 9abd7b69ced0b119d3f11eb2f64679c797affeae | /R/plp.R | 0d9d08fb6a86ba2e85e41eace557643b3f4287a3 | [] | no_license | cran/DJL | f90ab82207bfa627a7c8bb6971fd388c9736fe58 | 057a53eac20cb6857c7ebe38735d81f7390e0d12 | refs/heads/master | 2023-03-31T10:51:30.750898 | 2023-03-16T14:10:02 | 2023-03-16T14:10:02 | 48,079,064 | 1 | 0 | null | null | null | null | UTF-8 | R | false | false | 1,662 | r | plp.R | plp <-
function (x){
m <- dim(x)[1]
n <- dim(x)[2]
control <- lp.control(x)
cat(paste("Model name: ", name.lp(x), "\n", sep = ""))
ans <- matrix(0, m + 1, n)
for(j in 1:n) {
col <- get.column(x, j)
col$column -> ans[1 + col$nzrow, j]
}
type <- get.type(x); ... |
db6885ee69ce0b2d5f84e1a66ad2b91f70a3efec | b549bd1a71a999b084b866fd54f850dc3a91104a | /src/clustering_functions.R | f454ec7667611b03ceafa352855fb132a8b352a5 | [
"MIT"
] | permissive | graebnerc/trade-typology | ba4f850e19194c3ab47b4c1a2400ebad70091036 | 9051a420efa1557fcca933cb2d809b01d99026f9 | refs/heads/master | 2022-12-24T03:41:12.998028 | 2022-12-15T12:45:59 | 2022-12-15T12:45:59 | 175,810,261 | 0 | 1 | null | null | null | null | UTF-8 | R | false | false | 9,221 | r | clustering_functions.R | icae_cols <- c("#696969", "#888888", "#A0A0A0",
"#B0B0B0", "#C8C8C8", "#D8D8D8")
#' Clustering
#'
#' Conducts the clustering
#'
#' @param data_file The file for the clustering, must not contain NA
#' @param clustering_vars Should contain all the variables to be used
#' in the clustering as strings
... |
78023e6e57d422f40698202c57fe15a089fbfe0a | 0a906cf8b1b7da2aea87de958e3662870df49727 | /grattan/inst/testfiles/IncomeTax/libFuzzer_IncomeTax/IncomeTax_valgrind_files/1610051597-test.R | 95eb2c7091b8d36ab3371eeb08c8ec67ad964de9 | [] | no_license | akhikolla/updated-only-Issues | a85c887f0e1aae8a8dc358717d55b21678d04660 | 7d74489dfc7ddfec3955ae7891f15e920cad2e0c | refs/heads/master | 2023-04-13T08:22:15.699449 | 2021-04-21T16:25:35 | 2021-04-21T16:25:35 | 360,232,775 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 2,441 | r | 1610051597-test.R | testlist <- list(rates = numeric(0), thresholds = c(NaN, 3.56048348188083e-306, 34082834.0004893, NaN, 2.80614289249855e-312, -2.2308331518689e-289, 1.67616711008101e-319, 0, 0, 9.72926582174422e-309, 2.84809453888922e-306, 2.84347436052587e-312, 2.47222686857108e-94, 3.5601616320854e-306, 8.90029544463878e-306, -2... |
ac16584b8dcb6ee3010e13d938e29007e798eee4 | 680bf4e601fe744d15e323c598e696e3f79effe1 | /R/manifold_data.R | fc47e2dcb11445d07ad861d6f64b96c833d9a341 | [
"MIT"
] | permissive | bergloman/ad_examples | 706da7930af83dd2abcc8760ce904b12c4a478c7 | ed458c06d4ebfc2b6f5ff3e619cc082d4ce2f795 | refs/heads/master | 2023-03-20T03:16:16.945393 | 2021-03-15T08:15:39 | 2021-03-15T08:15:39 | 264,755,130 | 0 | 0 | MIT | 2020-05-17T20:54:46 | 2020-05-17T20:54:45 | null | UTF-8 | R | false | false | 1,874 | r | manifold_data.R | #rm(list=ls())
# Sample usage draw_circle:
# n <- 100
# r <- 40
# center <- c(50, 100)
# width <- 10
# draw_circle(n, r, center, width)
draw_circle <- function(n, r, center, width) {
# draw a circle with noise
rads <- runif(n, min=0, max=2*pi)
rr <- runif(n, r - (width/2), r + (width/2))
samples <- matrix(0, n... |
28019554c6514f57ba9daf4a96bc1eecd78a1c71 | 6ceab1bf9c435b523d2f8e7e9440da39770d741b | /R/f7Searchbar.R | 51ec055516b5a9cac2606ee21866c5656a2097c7 | [] | no_license | RinteRface/shinyMobile | a8109cd39c85e171db893d1b3f72d5f1a04f2c62 | 86d36f43acf701b6aac42d716adc1fae4f8370c6 | refs/heads/master | 2023-07-25T16:28:41.026349 | 2022-11-25T17:04:29 | 2022-11-25T17:04:29 | 139,186,586 | 328 | 92 | null | 2023-03-26T05:58:53 | 2018-06-29T19:13:06 | R | UTF-8 | R | false | false | 6,360 | r | f7Searchbar.R | #' Framework 7 searchbar
#'
#' Searchbar to filter elements in a page.
#'
#' @param id Necessary when using \link{f7SearchbarTrigger}. NULL otherwise.
#' @param placeholder Searchbar placeholder.
#' @param expandable Whether to enable the searchbar with a target link,
#' in the navbar. See \link{f7SearchbarTrigger}.
#'... |
aec6d739489ebeb3a49ae49a21c3d94b1e7d65e5 | 9f2dda9828688a2155c0d6da22b3270ce8f05e86 | /plot3.R | dd2a20669196f5efc9f6a73dac641a70932ea125 | [] | no_license | nickfaelnar/ExData_Plotting1 | d736bf8e20f35dd8224c97ca27b659a370850da0 | d60a446756d216e0782f6e24f57d736ad53ad65e | refs/heads/master | 2020-03-07T05:06:20.090735 | 2018-03-29T14:28:13 | 2018-03-29T14:28:13 | 127,286,016 | 0 | 0 | null | 2018-03-29T12:07:48 | 2018-03-29T12:07:48 | null | UTF-8 | R | false | false | 1,049 | r | plot3.R | library("data.table")
# Download source data
download.file("https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip", destfile = paste(getwd(),"data.zip", sep="/"))
unzip("data.zip")
#Reads the text file
hpcTable <- data.table::fread(input = "household_power_consumption.txt", na.strings=... |
211493834918cf58ae8cc84281fdf3c3bf4ecb91 | fc3b1aa8da7c4c57a12cdb8e8895c428a0d16ce8 | /ManDrought/dat.r | b5bb526b3588f331953f9e642b702a2de46967d5 | [] | no_license | christopear/UoA-Studentship | 97618fe7260253bb4d2dc70383401e42e4f34297 | d4b8dbd024f3052a5f8cacc79e7ad7824d64790c | refs/heads/master | 2021-05-30T08:33:59.733929 | 2016-01-24T23:48:34 | 2016-01-24T23:48:34 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 102 | r | dat.r | CSV.loc ="~/Studentship/ManDrought/thirdset.csv"
GIS.loc ="~/Studentship/ManDrought/GIS"
title ="Age"
|
59baf898ec1ac13635102832d09a8e2fa558b8b6 | d37c2dea2f709120e6c97dd7f07f8f5443d46f9d | /analysis/step2_gpANOVA.R | 64a45e11ccb1ee8733a93dfcfbe3a5f7a5efcd22 | [] | no_license | yuchinchiu/decodeCC | 4cf3fd5970f957cc28972b39b18c0e5c8ed3ee2d | 0a0b6b99af5d7132df4702ff6b9becec145aaba5 | refs/heads/master | 2021-01-25T04:14:56.696702 | 2017-08-11T18:59:35 | 2017-08-11T18:59:35 | 93,412,358 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 3,426 | r | step2_gpANOVA.R | ################################
# This file performs group stats - repeated measure ANOVA
# load gpData_v1.Rda (gpM1-gpM3, workerIdList)
#
################################
rm(list=ls())
library(tidyverse)
library(ez) # ezANOVA
currentDir <- getwd()
setwd(currentDir)
load("step1_allData_v1.Rda")
catVblList <- c(... |
72f7620c13f66d9593e14dae56fd49be58766f14 | 9efa134c757f6f8938cb17d565be9f5e87e8c8e9 | /man/getEveryBrewerySocialaccount.Rd | 7aba9ccc86d0ddacc5282fae31a8b5779db07c51 | [] | no_license | bpb824/brewerydb | 04f07279e18c63c054c62244669aeeaccacbf921 | 1fed6d68ac6a9543b8fa04c0efb11631fdc78d65 | refs/heads/master | 2022-01-20T05:11:49.833630 | 2019-06-23T02:37:58 | 2019-06-23T02:37:58 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | true | 438 | rd | getEveryBrewerySocialaccount.Rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/BrewerySocialaccount.R
\name{getEveryBrewerySocialaccount}
\alias{getEveryBrewerySocialaccount}
\title{Get All Social Accounts For Brewery}
\usage{
getEveryBrewerySocialaccount(breweryId)
}
\arguments{
\item{breweryId}{The breweryId}
}
\value... |
cac2d05e9c3ad343d18255cd17e5872f12d7249f | 7655f699565c789c940eabc0b7a2688551839b63 | /src/publication/fig-celltype_mb_bmi_geneset_enrichment.R | 7eafa0dfe1c3ff46a8eee972ec840bf0c06f0125 | [] | no_license | Tobi1kenobi/msc-thesis-2019 | 072b00e5e7051271dc35fe94d31ac48bc128523d | 769be4cd36eb6b5e27121d9c572e805242347034 | refs/heads/master | 2020-07-16T15:30:30.837512 | 2019-09-11T11:30:14 | 2019-09-11T11:30:14 | 205,814,840 | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 3,403 | r | fig-celltype_mb_bmi_geneset_enrichment.R | ############### SYNOPSIS ###################
### AIM: Mousebrain BMI geneset cell-type enrichment
### OUTPUT:
# ....
### REMARKS:
# ....
### REFERENCE:
# ======================================================================= #
# ================================ SETUP ================================ #
# ========... |
d63cf1e10efac3e36c59ba7e487cb18c703a5fdc | 4f8636a29a581a9637d069fe81a9bc3d8d46a56b | /Project3-WebScraping/Hayes Cozart/visualizations.R | c783831369006f89983dd12ca0b8b7000c438538 | [] | no_license | jeperez/bootcamp005_project | 55ecb745469947ded31883703f5f5e6f7abe73e5 | 936fee3e4f7a2b6b1872c20718fe42ac976e3f8a | refs/heads/master | 2021-01-11T07:03:27.124107 | 2016-08-04T21:49:29 | 2016-08-04T21:49:29 | null | 0 | 0 | null | null | null | null | UTF-8 | R | false | false | 4,054 | r | visualizations.R | setwd("C:/Users/Hayes/Desktop/BDS 005/Projects/Project 3")
library(ggplot2)
library(dplyr)
boardgames = read.csv('boardgames.csv')
str(boardgames)
View(boardgames)
boardgames$age = factor(boardgames$age, levels = c("[]", "[3+]", "[4+]","[5+]","[6+]",
"[7+]","[8+]","[... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.