content large_stringlengths 0 6.46M | path large_stringlengths 3 331 | license_type large_stringclasses 2
values | repo_name large_stringlengths 5 125 | language large_stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 4 6.46M | extension large_stringclasses 75
values | text stringlengths 0 6.46M |
|---|---|---|---|---|---|---|---|---|---|
# Description : Real life example of heuristics about local regression and kernel smoothing
# Website : http://freakonometrics.hypotheses.org/9182
toInstall <- c("xml","downloader")
if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")}
lapply(toInstall, library, character.only = TRUE)
file =... | /heuristics-regression-kernel-smoothing-real-life-ex.R | no_license | vikasgupta1812/rsnippets | R | false | false | 1,365 | r | # Description : Real life example of heuristics about local regression and kernel smoothing
# Website : http://freakonometrics.hypotheses.org/9182
toInstall <- c("xml","downloader")
if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")}
lapply(toInstall, library, character.only = TRUE)
file =... |
\name{AAMetric}
\Rdversion{1.1}
\alias{AAMetric}
\docType{data}
\title{
Amino Acid Metric Solution using R (Atchley et al 2005)
}
\description{
Atchley et al 2005 performed factor analysis on a set of Amino Acid Indices (AA54) and inferred
a 5 factor latent variable structure relating amino acid characteristic... | /man/AAMetric.Rd | no_license | cran/HDMD | R | false | false | 2,017 | rd | \name{AAMetric}
\Rdversion{1.1}
\alias{AAMetric}
\docType{data}
\title{
Amino Acid Metric Solution using R (Atchley et al 2005)
}
\description{
Atchley et al 2005 performed factor analysis on a set of Amino Acid Indices (AA54) and inferred
a 5 factor latent variable structure relating amino acid characteristic... |
`HDGENE.QQ` <-
function(P.values, plot.type = "log_P_values", name.of.trait = "Trait",DPP=50000,plot.style="rainbow"){
#Object: Make a QQ-Plot of the P-values
#Options for plot.type = "log_P_values" and "P_values"
#Output: A pdf of the QQ-plot
#Authors: Alex Lipka and Zhiwu Zhang
# Last update: May ... | /R/HDGENE.QQ.R | no_license | YaoZhou89/HDGENE | R | false | false | 3,813 | r | `HDGENE.QQ` <-
function(P.values, plot.type = "log_P_values", name.of.trait = "Trait",DPP=50000,plot.style="rainbow"){
#Object: Make a QQ-Plot of the P-values
#Options for plot.type = "log_P_values" and "P_values"
#Output: A pdf of the QQ-plot
#Authors: Alex Lipka and Zhiwu Zhang
# Last update: May ... |
# AUTO GENERATED FILE - DO NOT EDIT
htmlDialog <- function(children=NULL, id=NULL, n_clicks=NULL, n_clicks_timestamp=NULL, key=NULL, role=NULL, accessKey=NULL, className=NULL, contentEditable=NULL, contextMenu=NULL, dir=NULL, draggable=NULL, hidden=NULL, lang=NULL, spellCheck=NULL, style=NULL, tabIndex=NULL, title=NUL... | /R/htmlDialog.R | permissive | TannerSorensen/dash-html-components | R | false | false | 1,320 | r | # AUTO GENERATED FILE - DO NOT EDIT
htmlDialog <- function(children=NULL, id=NULL, n_clicks=NULL, n_clicks_timestamp=NULL, key=NULL, role=NULL, accessKey=NULL, className=NULL, contentEditable=NULL, contextMenu=NULL, dir=NULL, draggable=NULL, hidden=NULL, lang=NULL, spellCheck=NULL, style=NULL, tabIndex=NULL, title=NUL... |
#
# Linux-logistic-fut.R, 23 Dec 15
# Data from:
# The {Linux} Kernel as a Case Study in Software Evolution
# Ayelet Israeli and Dror G. Feitelson
#
# Example from:
# Empirical Software Engineering using R
# Derek M. Jones
source("ESEUR_config.r")
pal_col=rainbow(4)
ll=read.csv(paste0(ESEUR_dir, "regression/Linux-L... | /regression/linux-logistic-fut.R | no_license | gopinathsubbegowda/ESEUR-code-data | R | false | false | 1,770 | r | #
# Linux-logistic-fut.R, 23 Dec 15
# Data from:
# The {Linux} Kernel as a Case Study in Software Evolution
# Ayelet Israeli and Dror G. Feitelson
#
# Example from:
# Empirical Software Engineering using R
# Derek M. Jones
source("ESEUR_config.r")
pal_col=rainbow(4)
ll=read.csv(paste0(ESEUR_dir, "regression/Linux-L... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/taxmap--internal.R
\name{print_item}
\alias{print_item}
\title{Print a table}
\usage{
print_item(data, name = NULL, max_rows = 3, max_items = 3,
max_width = getOption("width") - 10, prefix = "")
}
\arguments{
\item{data}{The item to be prin... | /man/print_item.Rd | permissive | lionel-/taxa | R | false | true | 857 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/taxmap--internal.R
\name{print_item}
\alias{print_item}
\title{Print a table}
\usage{
print_item(data, name = NULL, max_rows = 3, max_items = 3,
max_width = getOption("width") - 10, prefix = "")
}
\arguments{
\item{data}{The item to be prin... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{mm10_NcoI_10000}
\alias{mm10_NcoI_10000}
\title{Genomic features for mm10 genome and NcoI restriction enzyme at 10 Kbp}
\format{A data frame with 272474 rows and 5 variables:
\describe{
\item{chr:}{chromosome}
... | /man/mm10_NcoI_10000.Rd | no_license | 4DGenome/hicfeatures | R | false | true | 848 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{mm10_NcoI_10000}
\alias{mm10_NcoI_10000}
\title{Genomic features for mm10 genome and NcoI restriction enzyme at 10 Kbp}
\format{A data frame with 272474 rows and 5 variables:
\describe{
\item{chr:}{chromosome}
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/weatherData.R
\name{getDetailedWeather}
\alias{getDetailedWeather}
\title{Gets weather data for a single date (All records)}
\usage{
getDetailedWeather(station_id, date, station_type = "airportCode",
opt_temperature_columns = TRUE, o... | /man/getDetailedWeather.Rd | no_license | cran/weatherData | R | false | true | 2,762 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/weatherData.R
\name{getDetailedWeather}
\alias{getDetailedWeather}
\title{Gets weather data for a single date (All records)}
\usage{
getDetailedWeather(station_id, date, station_type = "airportCode",
opt_temperature_columns = TRUE, o... |
good_years <- read.csv("data/goodyears.csv")[,1]
| /code/goodyears_stack.R | no_license | jsta/dataflowchl | R | false | false | 50 | r | good_years <- read.csv("data/goodyears.csv")[,1]
|
## Put comments here that give an overall description of what your
## functions do
## Write a short comment describing this function
## Cache inverse of a Matrix
makeCacheMatrix <- function(x = matrix()) {
inv <- NULL
set <- function(y) {
x <<- y
inv <<- NULL
}
get <- function() x
... | /cachematrix.R | no_license | caarthee/ProgrammingAssignment2 | R | false | false | 773 | r | ## Put comments here that give an overall description of what your
## functions do
## Write a short comment describing this function
## Cache inverse of a Matrix
makeCacheMatrix <- function(x = matrix()) {
inv <- NULL
set <- function(y) {
x <<- y
inv <<- NULL
}
get <- function() x
... |
Sys.setlocale(category = "LC_ALL", locale = "english")
rawData <- read.table("household_power_consumption.txt",
sep = ";",
header = TRUE)
rawData$Date <- as.Date(as.character(rawData$Date), "%d/%m/%Y")
electricData <- rawData[rawData$Date>=as.Date("2007-02-01")
... | /plot3.R | no_license | edwada/Exploratory-Data-Analysis-HW1 | R | false | false | 1,296 | r | Sys.setlocale(category = "LC_ALL", locale = "english")
rawData <- read.table("household_power_consumption.txt",
sep = ";",
header = TRUE)
rawData$Date <- as.Date(as.character(rawData$Date), "%d/%m/%Y")
electricData <- rawData[rawData$Date>=as.Date("2007-02-01")
... |
library(reshape2)
filename <- "getdata_dataset.zip"
## Download and unzip the dataset:
if (!file.exists(filename)){
fileurl <- "https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip "
download.file(fileurl, filename)
}
if (!file.exists("UCI HAR Dataset")) {
unzip(filename)
}... | /run_analysis.R | no_license | rikimaru1181/getting-and-cleaning-data-course-project | R | false | false | 2,082 | r | library(reshape2)
filename <- "getdata_dataset.zip"
## Download and unzip the dataset:
if (!file.exists(filename)){
fileurl <- "https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip "
download.file(fileurl, filename)
}
if (!file.exists("UCI HAR Dataset")) {
unzip(filename)
}... |
#' Create an example rmarkdown file report.
#'
#' This function has a template rmarkdown file. The file contains BEQR functions
#' for plotting, NCA and ABE analyis.
#' @param dir_path relative or absolute path to an existing file directory
#' @param file_name a name to be given to the template rmarkdown file (include
... | /R/make_template_report.R | no_license | Eliford/BEQR | R | false | false | 5,748 | r | #' Create an example rmarkdown file report.
#'
#' This function has a template rmarkdown file. The file contains BEQR functions
#' for plotting, NCA and ABE analyis.
#' @param dir_path relative or absolute path to an existing file directory
#' @param file_name a name to be given to the template rmarkdown file (include
... |
library(ifultools)
### Name: rotateVector
### Title: Circularly vector rotation
### Aliases: rotateVector
### Keywords: utilities
### ** Examples
rotateVector(1:5, 2)
rotateVector(1:5, -2)
| /data/genthat_extracted_code/ifultools/examples/rotateVector.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 196 | r | library(ifultools)
### Name: rotateVector
### Title: Circularly vector rotation
### Aliases: rotateVector
### Keywords: utilities
### ** Examples
rotateVector(1:5, 2)
rotateVector(1:5, -2)
|
#
#
# Author: aagarwal
###############################################################################
df1 = read.table(commandArgs()[3],header=TRUE,sep="\t")
df2 = read.table(commandArgs()[4],header=TRUE,sep="\t")
df3 = read.table(commandArgs()[5],header=TRUE,sep="\t")
print("Subtracting pariwise x and y columns of... | /src/main/resources/R/writeFile/writeRowSumToFile.R | no_license | teg-iitr/matsim-iitr | R | false | false | 703 | r | #
#
# Author: aagarwal
###############################################################################
df1 = read.table(commandArgs()[3],header=TRUE,sep="\t")
df2 = read.table(commandArgs()[4],header=TRUE,sep="\t")
df3 = read.table(commandArgs()[5],header=TRUE,sep="\t")
print("Subtracting pariwise x and y columns of... |
# ------------------------------------------------------------------------------
# 04-analyze.R: clean and visualize
# ------------------------------------------------------------------------------
# load packages ----------------------------------------------------------------
library(tidyverse)
library(scales)
# l... | /08-cerse/code/opensecrets/04-analyze.R | no_license | mine-cetinkaya-rundel/eatcake | R | false | false | 2,570 | r | # ------------------------------------------------------------------------------
# 04-analyze.R: clean and visualize
# ------------------------------------------------------------------------------
# load packages ----------------------------------------------------------------
library(tidyverse)
library(scales)
# l... |
# Exercise-1: practice with basic syntax
# Create a variable `hometown` that stores the city in which you were born
hometown <- "Orlando, Florida"
# Assign your name to the variable `my.name`
my.name <- "James Lyou"
# Assign your height (in inches) to a variable `my.height`
my.height <- 70
# Create a variable `pupp... | /exercise-1/exercise.R | permissive | lyoujl/module5-r-intro | R | false | false | 814 | r | # Exercise-1: practice with basic syntax
# Create a variable `hometown` that stores the city in which you were born
hometown <- "Orlando, Florida"
# Assign your name to the variable `my.name`
my.name <- "James Lyou"
# Assign your height (in inches) to a variable `my.height`
my.height <- 70
# Create a variable `pupp... |
#' Square grid over system area
#'
#' Creates a square grid with given cell size over the service area
#' of the dockless bike sharing system.
#'
#' @param area object of class \code{sf} representing the system area.
#' @param ... further arguments passed to \code{st_make_grid}.
#' @return If \code{type} is set to \cod... | /R/cluster_loop.R | no_license | kezekwem/dockless | R | false | false | 9,529 | r | #' Square grid over system area
#'
#' Creates a square grid with given cell size over the service area
#' of the dockless bike sharing system.
#'
#' @param area object of class \code{sf} representing the system area.
#' @param ... further arguments passed to \code{st_make_grid}.
#' @return If \code{type} is set to \cod... |
#lecture 4
install.packages('hexbin')
library(hexbin)
library(tidyverse)
genes <- read_tsv("data/data/gene_lengths.txt")
genes
ggplot(genes) + geom_density(aes(x=gene_length)) + facet_wrap((~chr))
#the plots show the data is not normally distributed at all, chr1 looks likeit has more small genes
kruskal.test(gene_lengt... | /Class/lecture4.R | no_license | mahdi-robbani/high_throughput | R | false | false | 1,575 | r | #lecture 4
install.packages('hexbin')
library(hexbin)
library(tidyverse)
genes <- read_tsv("data/data/gene_lengths.txt")
genes
ggplot(genes) + geom_density(aes(x=gene_length)) + facet_wrap((~chr))
#the plots show the data is not normally distributed at all, chr1 looks likeit has more small genes
kruskal.test(gene_lengt... |
library(gt)
library(tidyverse)
# Create a table where rows are formatted conditionally
conditional_tbl <-
readr::read_csv(
system.file("extdata", "sp500.csv", package = "gt"),
col_types = "cddddd"
) %>%
gt() %>%
fmt_number(
columns = Open,
rows = Open > 1900,
decimals = 3,
scale_by = 1/... | /tests/gt-examples/01-html-script/html-10-conditional_formatting.R | permissive | rstudio/gt | R | false | false | 577 | r | library(gt)
library(tidyverse)
# Create a table where rows are formatted conditionally
conditional_tbl <-
readr::read_csv(
system.file("extdata", "sp500.csv", package = "gt"),
col_types = "cddddd"
) %>%
gt() %>%
fmt_number(
columns = Open,
rows = Open > 1900,
decimals = 3,
scale_by = 1/... |
library(DLMtool)
### Name: MRreal
### Title: Spatial closure and allocation management procedures
### Aliases: MRreal MRnoreal
### ** Examples
MRreal(1, DLMtool::Atlantic_mackerel, plot=TRUE)
MRnoreal(1, DLMtool::Atlantic_mackerel, plot=TRUE)
| /data/genthat_extracted_code/DLMtool/examples/MRreal.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 250 | r | library(DLMtool)
### Name: MRreal
### Title: Spatial closure and allocation management procedures
### Aliases: MRreal MRnoreal
### ** Examples
MRreal(1, DLMtool::Atlantic_mackerel, plot=TRUE)
MRnoreal(1, DLMtool::Atlantic_mackerel, plot=TRUE)
|
.dashEditableDiv_js_metadata <- function() {
deps_metadata <- list(`dash_editable_div` = structure(list(name = "dash_editable_div",
version = "0.0.1", src = list(href = NULL,
file = "deps"), meta = NULL,
script = 'dash_editable_div.min.js',
stylesheet = NULL, head = NULL, attachment = NULL, package = "dashEditableDiv",... | /R/internal.R | no_license | remidbs/dash-editable-div | R | false | false | 715 | r | .dashEditableDiv_js_metadata <- function() {
deps_metadata <- list(`dash_editable_div` = structure(list(name = "dash_editable_div",
version = "0.0.1", src = list(href = NULL,
file = "deps"), meta = NULL,
script = 'dash_editable_div.min.js',
stylesheet = NULL, head = NULL, attachment = NULL, package = "dashEditableDiv",... |
install.packages("tidyverse")
install.packages("emmeans")
install.packages("afex")
| /install.R | no_license | AngelicaCastaneda/first_binder | R | false | false | 83 | r | install.packages("tidyverse")
install.packages("emmeans")
install.packages("afex")
|
### =========================================================================
### Expression objects
### -------------------------------------------------------------------------
###
### Temporarily copy/pasted from rsolr
###
setClassUnion("Expression", "language")
setClass("ConstantExpression",
slots=c(valu... | /R/Expression-class.R | no_license | lawremi/hailr | R | false | false | 2,302 | r | ### =========================================================================
### Expression objects
### -------------------------------------------------------------------------
###
### Temporarily copy/pasted from rsolr
###
setClassUnion("Expression", "language")
setClass("ConstantExpression",
slots=c(valu... |
#getwd()
library(dplyr)
par(mfrow = c(1, 1))
# Načtení dat z xlsx souboru
data_xlsx = readxl::read_excel("./1S/ukol_123.xlsx",
sheet = "Vysledky mereni",
skip = 0)
data_xlsx = data_xlsx[,-1] # odstraníme první sloupec s indexy
colnames(data_xlsx)=c("A2... | /4S/4S.r | permissive | Atheloses/VSB-S8-PS | R | false | false | 6,082 | r | #getwd()
library(dplyr)
par(mfrow = c(1, 1))
# Načtení dat z xlsx souboru
data_xlsx = readxl::read_excel("./1S/ukol_123.xlsx",
sheet = "Vysledky mereni",
skip = 0)
data_xlsx = data_xlsx[,-1] # odstraníme první sloupec s indexy
colnames(data_xlsx)=c("A2... |
##
## tests/gcc323.R
##
## $Revision: 1.2 $ $Date: 2015/12/29 08:54:49 $
##
require(spatstat)
local({
# critical R values that provoke GCC bug #323
a <- marktable(lansing, R=0.25)
a <- marktable(lansing, R=0.21)
a <- marktable(lansing, R=0.20)
a <- marktable(lansing, R=0.10)
})
#
# tests/... | /tests/testsGtoK.R | no_license | kasselhingee/spatstat | R | false | false | 16,328 | r | ##
## tests/gcc323.R
##
## $Revision: 1.2 $ $Date: 2015/12/29 08:54:49 $
##
require(spatstat)
local({
# critical R values that provoke GCC bug #323
a <- marktable(lansing, R=0.25)
a <- marktable(lansing, R=0.21)
a <- marktable(lansing, R=0.20)
a <- marktable(lansing, R=0.10)
})
#
# tests/... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/functions_wmm.R
\name{GetMagneticFieldWMM}
\alias{GetMagneticFieldWMM}
\title{Calculate Expected Magnetic Field from WMM}
\usage{
GetMagneticFieldWMM(lon, lat, height, time, wmmVersion = "derived")
}
\arguments{
\item{lon}{GPS longit... | /man/GetMagneticFieldWMM.Rd | no_license | cran/wmm | R | false | true | 2,403 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/functions_wmm.R
\name{GetMagneticFieldWMM}
\alias{GetMagneticFieldWMM}
\title{Calculate Expected Magnetic Field from WMM}
\usage{
GetMagneticFieldWMM(lon, lat, height, time, wmmVersion = "derived")
}
\arguments{
\item{lon}{GPS longit... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pr_stem.R
\name{pr_stem_sentences}
\alias{pr_stem_sentences}
\title{Stem a dataframe containing a column with sentences}
\usage{
pr_stem_sentences(df, col, language = "french")
}
\arguments{
\item{df}{the data.frame containing the text}
\ite... | /man/pr_stem_sentences.Rd | no_license | ColinFay/proustr | R | false | true | 721 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pr_stem.R
\name{pr_stem_sentences}
\alias{pr_stem_sentences}
\title{Stem a dataframe containing a column with sentences}
\usage{
pr_stem_sentences(df, col, language = "french")
}
\arguments{
\item{df}{the data.frame containing the text}
\ite... |
require(foreign)
require(ff)
require(dplyr)
require(lubridate)
require(ggplot2)
require(ggmap)
require(dplyr)
require(plotly)
require(tidyr)
require(Formula)
require(Hmisc)
require(WDI)
require(XML)
require(acepack)
require(acs)
require(checkmate)
require(choroplethr)
require(choroplethrMaps)
require(htmlTable)
require... | /app.R | no_license | rfeingold18/Final-Project | R | false | false | 2,070 | r | require(foreign)
require(ff)
require(dplyr)
require(lubridate)
require(ggplot2)
require(ggmap)
require(dplyr)
require(plotly)
require(tidyr)
require(Formula)
require(Hmisc)
require(WDI)
require(XML)
require(acepack)
require(acs)
require(checkmate)
require(choroplethr)
require(choroplethrMaps)
require(htmlTable)
require... |
get_finalaCRFpages <- function (dsin_crf = NULL, dsin_linkPages = NULL,
domain_list = NULL) {
crf_out_final <- data.frame(domain = character(), sdtm_vars = character(), Variable = character(), page_nbr_concat = character())
for (sel_domain in domain_list) {
print(sel_domain)... | /proj-mini-parse-aCRF-page-master/dev/functions/get_finalaCRFpages_fn - old.R | no_license | Hw1OCS/aCRFExtractor_GSK-version | R | false | false | 1,757 | r | get_finalaCRFpages <- function (dsin_crf = NULL, dsin_linkPages = NULL,
domain_list = NULL) {
crf_out_final <- data.frame(domain = character(), sdtm_vars = character(), Variable = character(), page_nbr_concat = character())
for (sel_domain in domain_list) {
print(sel_domain)... |
#' zip_state_city
#' @docType data
#'
#' @usage data(zip_state_city)
#'
#' @format A data.frame with combinations of zipcode, city and state names
#'
#' @keywords zip, zipcode, city, state
#'
#' @references \url{www.pier2pier.com/links/files/Countrystate/USA-Zip.xls}
"zip_state_city"
#' get_state_city_zipcode
#' @desc... | /BDEEPInfousa/R/zip_state_city.R | no_license | uiuc-bdeep/InfoUSA_Database | R | false | false | 970 | r | #' zip_state_city
#' @docType data
#'
#' @usage data(zip_state_city)
#'
#' @format A data.frame with combinations of zipcode, city and state names
#'
#' @keywords zip, zipcode, city, state
#'
#' @references \url{www.pier2pier.com/links/files/Countrystate/USA-Zip.xls}
"zip_state_city"
#' get_state_city_zipcode
#' @desc... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/FCP_TPA.R
\name{FCP_TPA}
\alias{FCP_TPA}
\title{The functional CP-TPA algorithm}
\usage{
FCP_TPA(
X,
K,
penMat,
alphaRange,
verbose = FALSE,
tol = 1e-04,
maxIter = 15,
adaptTol = TRUE
)
}
\arguments{
\item{X}{The data tensor o... | /man/FCP_TPA.Rd | no_license | cran/MFPCA | R | false | true | 4,895 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/FCP_TPA.R
\name{FCP_TPA}
\alias{FCP_TPA}
\title{The functional CP-TPA algorithm}
\usage{
FCP_TPA(
X,
K,
penMat,
alphaRange,
verbose = FALSE,
tol = 1e-04,
maxIter = 15,
adaptTol = TRUE
)
}
\arguments{
\item{X}{The data tensor o... |
###############################################################################
#' @import svDialogs
###############################################################################
#' @rdname AQSysCurve
#' @title This functions plot a curve based in the chosen model and its
#' parameters.
#' @description The fun... | /R/AQSysCurve.R | no_license | cran/LLSR | R | false | false | 6,700 | r | ###############################################################################
#' @import svDialogs
###############################################################################
#' @rdname AQSysCurve
#' @title This functions plot a curve based in the chosen model and its
#' parameters.
#' @description The fun... |
library(readr)
Abstract_Catalogados <- read_csv("Abstract Catalogados.csv")
View(Abstract_Catalogados)
library(dplyr)
names(Abstract_Catalogados)
Abstract_Catalogados=mutate(Abstract_Catalogados, AbstractYRevista= paste(Abstract,Titulo_Revista,sep=" "))
Abstract_Catalogados=filter(Abstract_Catalogados,Disciplina!=... | /RunSVM.R | no_license | claudiasolervicens/Tesis-prueba2 | R | false | false | 2,160 | r | library(readr)
Abstract_Catalogados <- read_csv("Abstract Catalogados.csv")
View(Abstract_Catalogados)
library(dplyr)
names(Abstract_Catalogados)
Abstract_Catalogados=mutate(Abstract_Catalogados, AbstractYRevista= paste(Abstract,Titulo_Revista,sep=" "))
Abstract_Catalogados=filter(Abstract_Catalogados,Disciplina!=... |
library(ape)
testtree <- read.tree("1639_19.txt")
unrooted_tr <- unroot(testtree)
write.tree(unrooted_tr, file="1639_19_unrooted.txt") | /codeml_files/newick_trees_processed/1639_19/rinput.R | no_license | DaniBoo/cyanobacteria_project | R | false | false | 137 | r | library(ape)
testtree <- read.tree("1639_19.txt")
unrooted_tr <- unroot(testtree)
write.tree(unrooted_tr, file="1639_19_unrooted.txt") |
# Sidebar with a slider input for number of bins
sidebarLayout(
fluidRow(
box(status="primary", title="Test App 1",
sliderInput("bins1",
"Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Show a plot of the generated dist... | /apps/app1/ui.R | no_license | maryskalicky/shinydashboard | R | false | false | 494 | r | # Sidebar with a slider input for number of bins
sidebarLayout(
fluidRow(
box(status="primary", title="Test App 1",
sliderInput("bins1",
"Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Show a plot of the generated dist... |
###############################################################################
# OVERVIEW:
# Code to create a cleaned person table from the combined
# King County Housing Authority and Seattle Housing Authority data sets
# Aim is to have a single row per contiguous time in a house per person
#
# STEPS:
# 01 - Process... | /processing/05_pha_recodes.R | permissive | jmhernan/Housing | R | false | false | 4,710 | r | ###############################################################################
# OVERVIEW:
# Code to create a cleaned person table from the combined
# King County Housing Authority and Seattle Housing Authority data sets
# Aim is to have a single row per contiguous time in a house per person
#
# STEPS:
# 01 - Process... |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | /src/kudu/scripts/mt-tablet-test-graph.R | permissive | apache/kudu | R | false | false | 3,193 | r | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
#jian dan xian xing hui gui de zhi huan jian yan
library(lmPerm)
set.seed(1234)
fit <- lmp(weight~height,data=women,perm = "Prob")
summary(fit)
#duo xiang shi hui gui de zhi huan jian yan
fit <- lmp(weight~height + I(height^2), data=women,perm = "Prob")
summary(fit)
#duo yuan hui gui
states <- as.data.frame(state.x77... | /9.10/sample03.R | no_license | weidaoming/R | R | false | false | 1,561 | r | #jian dan xian xing hui gui de zhi huan jian yan
library(lmPerm)
set.seed(1234)
fit <- lmp(weight~height,data=women,perm = "Prob")
summary(fit)
#duo xiang shi hui gui de zhi huan jian yan
fit <- lmp(weight~height + I(height^2), data=women,perm = "Prob")
summary(fit)
#duo yuan hui gui
states <- as.data.frame(state.x77... |
#' Create a dataframe formatted using the Actual and Forecast Table Schema (AFTS)
#'
#' Joins a table containing time series actuals (given in the TSTS format) and a
#' table containing forecasts (given in the FTS format) to create a table containing both
#' actuals and forecasts using the Actual and Forecast Table Sch... | /R/createAFTS.R | no_license | forvis/forvision | R | false | false | 2,158 | r | #' Create a dataframe formatted using the Actual and Forecast Table Schema (AFTS)
#'
#' Joins a table containing time series actuals (given in the TSTS format) and a
#' table containing forecasts (given in the FTS format) to create a table containing both
#' actuals and forecasts using the Actual and Forecast Table Sch... |
#' @title Update posterior latent class assignment \code{C} for each subject.
#'
#' @description This uses Bayes' theorem to update posterior latent class assignment. This is a ratio of the likelihood contribution of each subject to class \code{k} and the prior probability of belonging in class \code{k} to the likeliho... | /R/update_C_fast.R | permissive | anthopolos/EHRMiss | R | false | false | 10,911 | r | #' @title Update posterior latent class assignment \code{C} for each subject.
#'
#' @description This uses Bayes' theorem to update posterior latent class assignment. This is a ratio of the likelihood contribution of each subject to class \code{k} and the prior probability of belonging in class \code{k} to the likeliho... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/sampleAges.R
\name{sampleAges}
\alias{sampleAges}
\title{Get sample ages from a set of Bchron calibrated dates}
\usage{
sampleAges(CalDates, n_samp = 10000)
}
\arguments{
\item{CalDates}{A list created from either \code{\link{BchronCalibrate}... | /man/sampleAges.Rd | no_license | allisonstegner/Bchron | R | false | true | 1,459 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/sampleAges.R
\name{sampleAges}
\alias{sampleAges}
\title{Get sample ages from a set of Bchron calibrated dates}
\usage{
sampleAges(CalDates, n_samp = 10000)
}
\arguments{
\item{CalDates}{A list created from either \code{\link{BchronCalibrate}... |
#' Generates grouped violin plots based on peptides signals intensities with t tests options
#'
#' Takes in the scaled dataset from krsa_scaleModel() and plot violin figures using ggplot2
#'
#' @param data the scaled dataset from krsa_scaleModel
#' @param peptides vector of peptides
#' @param grp_comp list of group com... | /R/krsa_violin_plot_grouped.R | permissive | AliSajid/KRSA | R | false | false | 2,119 | r | #' Generates grouped violin plots based on peptides signals intensities with t tests options
#'
#' Takes in the scaled dataset from krsa_scaleModel() and plot violin figures using ggplot2
#'
#' @param data the scaled dataset from krsa_scaleModel
#' @param peptides vector of peptides
#' @param grp_comp list of group com... |
#' @include facet-.R
NULL
#' Facet specification: a single panel.
#'
#' @inheritParams facet_grid
#' @keywords internal
#' @export
#' @examples
#' # facet_null is the default faceting specification if you
#' # don't override it with facet_grid or facet_wrap
#' ggplot(mtcars, aes(mpg, wt)) + geom_point()
fa... | /R/facet-null.R | no_license | cran/ggplot2 | R | false | false | 2,400 | r | #' @include facet-.R
NULL
#' Facet specification: a single panel.
#'
#' @inheritParams facet_grid
#' @keywords internal
#' @export
#' @examples
#' # facet_null is the default faceting specification if you
#' # don't override it with facet_grid or facet_wrap
#' ggplot(mtcars, aes(mpg, wt)) + geom_point()
fa... |
src <- read.csv(file = "C:/Users/Sam/Desktop/source.csv")
splitted <- strsplit(as.character(src$ORIGINAL_TEXT),"[.,_]")
for(i in 1:length(splitted))
{
temp <- unlist(splitted[i])
temp <- temp[temp !="MODE"]
temp <- temp[temp !="TO"]
splitted[i] <- list(temp)
}
zz <- file("C:/Users/Sam/Desktop/target.txt","w")
f... | /wf_file.r | no_license | SamJake/test | R | false | false | 452 | r | src <- read.csv(file = "C:/Users/Sam/Desktop/source.csv")
splitted <- strsplit(as.character(src$ORIGINAL_TEXT),"[.,_]")
for(i in 1:length(splitted))
{
temp <- unlist(splitted[i])
temp <- temp[temp !="MODE"]
temp <- temp[temp !="TO"]
splitted[i] <- list(temp)
}
zz <- file("C:/Users/Sam/Desktop/target.txt","w")
f... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/docker_class.R
\docType{data}
\name{docker}
\alias{docker}
\title{docker}
\format{An object of class \code{R6ClassGenerator} of length 24.}
\usage{
docker
}
\description{
docker
}
\keyword{datasets}
| /man/docker.Rd | no_license | favstats/dockeR | R | false | true | 277 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/docker_class.R
\docType{data}
\name{docker}
\alias{docker}
\title{docker}
\format{An object of class \code{R6ClassGenerator} of length 24.}
\usage{
docker
}
\description{
docker
}
\keyword{datasets}
|
test.occuMulti.fit.simple.1 <- function() {
y <- list(matrix(rep(1,10),5,2),
matrix(rep(1,10),5,2))
umf <- unmarkedFrameOccuMulti(y = y)
fm <- occuMulti(detformulas=rep("~1",2),
stateformulas=rep("~1",3), data = umf, se=FALSE)
#Probably should not be calling predict here b/c unit... | /fuzzedpackages/unmarked/inst/unitTests/runit.occuMulti.R | no_license | akhikolla/testpackages | R | false | false | 11,814 | r | test.occuMulti.fit.simple.1 <- function() {
y <- list(matrix(rep(1,10),5,2),
matrix(rep(1,10),5,2))
umf <- unmarkedFrameOccuMulti(y = y)
fm <- occuMulti(detformulas=rep("~1",2),
stateformulas=rep("~1",3), data = umf, se=FALSE)
#Probably should not be calling predict here b/c unit... |
Define your own operators:
`%+%` <- function(e1, e2) {
e1[is.na(e1)] <- 0; e2[is.na(e2)] <- 0; return(e1 + e2)}
`%-%` <- function(e1, e2) {
e1[is.na(e1)] <- 0; e2[is.na(e2)] <- 0; return(e1 - e2)}
within(df, e <- a %-% b %+% c)
a b c e
1 1 0 9 10
2 2 1 10 11
3 3 NA 11 14
4 4 3 NA 1
5 5 4 13 14
| /define_your_own_operators.R | no_license | pstessel/useful_R | R | false | false | 312 | r | Define your own operators:
`%+%` <- function(e1, e2) {
e1[is.na(e1)] <- 0; e2[is.na(e2)] <- 0; return(e1 + e2)}
`%-%` <- function(e1, e2) {
e1[is.na(e1)] <- 0; e2[is.na(e2)] <- 0; return(e1 - e2)}
within(df, e <- a %-% b %+% c)
a b c e
1 1 0 9 10
2 2 1 10 11
3 3 NA 11 14
4 4 3 NA 1
5 5 4 13 14
|
% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/knapsack_dynamic.R
\name{knapsack_dynamic}
\alias{knapsack_dynamic}
\title{0/1 knapsack problem}
\usage{
knapsack_dynamic(x, W)
}
\arguments{
\item{x}{a dataframe consists of two variables \code{w} and \code{v}. Both variables contain... | /knapsack/man/knapsack_dynamic.Rd | no_license | ClaraSchartner/lab6 | R | false | false | 783 | rd | % Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/knapsack_dynamic.R
\name{knapsack_dynamic}
\alias{knapsack_dynamic}
\title{0/1 knapsack problem}
\usage{
knapsack_dynamic(x, W)
}
\arguments{
\item{x}{a dataframe consists of two variables \code{w} and \code{v}. Both variables contain... |
transmute(
flights,
dep_min = (dep_time %/% 100) * 60 + dep_time %% 100,
sched_dep_min = (sched_dep_time %/% 100) * 60 + sched_dep_time %% 100,
) | /cap05/transmute03.R | permissive | vcwild/r4ds | R | false | false | 157 | r | transmute(
flights,
dep_min = (dep_time %/% 100) * 60 + dep_time %% 100,
sched_dep_min = (sched_dep_time %/% 100) * 60 + sched_dep_time %% 100,
) |
## In this script there are two function, the first one is to save on cache
## some info, and the second one is to solve info on the first one.
## This function save info on cache
makeCacheMatrix <- function(x = matrix()) {
m <- NULL
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
set... | /ProgrammingAssignment2/cachematrix.R | no_license | BRodas/datasciencecoursera | R | false | false | 790 | r | ## In this script there are two function, the first one is to save on cache
## some info, and the second one is to solve info on the first one.
## This function save info on cache
makeCacheMatrix <- function(x = matrix()) {
m <- NULL
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
set... |
\name{nexml_write}
\alias{nexml_write}
\alias{write.nexml}
\title{Write nexml files}
\usage{
nexml_write(x = new("nexml"), file = NULL, trees = NULL,
characters = NULL, meta = NULL, ...)
}
\arguments{
\item{x}{a nexml object, or any phylogeny object (e.g.
phylo, phylo4) that can be coerced into one. Can also be
... | /man/nexml_write.Rd | permissive | craigcitro/RNeXML | R | false | false | 2,199 | rd | \name{nexml_write}
\alias{nexml_write}
\alias{write.nexml}
\title{Write nexml files}
\usage{
nexml_write(x = new("nexml"), file = NULL, trees = NULL,
characters = NULL, meta = NULL, ...)
}
\arguments{
\item{x}{a nexml object, or any phylogeny object (e.g.
phylo, phylo4) that can be coerced into one. Can also be
... |
\name{dizzysNewInfec-package}
\alias{dizzysNewInfec-package}
\alias{dizzysNewInfec}
\docType{package}
\title{
\packageTitle{dizzysNewInfec}
}
\description{
\packageDescription{dizzysNewInfec}
}
\details{
The DESCRIPTION file:
\packageDESCRIPTION{dizzysNewInfec}
\packageIndices{dizzysNewInfec}
~~ An overview of how to ... | /CODE_dizzys/refreshDIZZYS_2015_10_23/lan2/dizzysNewInfec/man/dizzysNewInfec-package.Rd | no_license | ttcgiang/THESE_GitHub | R | false | false | 862 | rd | \name{dizzysNewInfec-package}
\alias{dizzysNewInfec-package}
\alias{dizzysNewInfec}
\docType{package}
\title{
\packageTitle{dizzysNewInfec}
}
\description{
\packageDescription{dizzysNewInfec}
}
\details{
The DESCRIPTION file:
\packageDESCRIPTION{dizzysNewInfec}
\packageIndices{dizzysNewInfec}
~~ An overview of how to ... |
te=c(27, 20, 7, 4, 1,1)
ye=c("European", "Indian", "Chinese", "West Asian", "Korean", "Japanese" )
df=data.frame(cbind(ye,te))
colnames(df)=c("origin", "count")
df$count=as.numeric(as.character(df$count))
df$percentage= round(df$count/sum(te)*100,1)
df$pop=c(197.3, 3.18, 3.79, 10.5, 1.7, 1.3 )
totalpop=sum(df$po... | /scripts/cheaters.R | no_license | somasushma/R-code | R | false | false | 809 | r | te=c(27, 20, 7, 4, 1,1)
ye=c("European", "Indian", "Chinese", "West Asian", "Korean", "Japanese" )
df=data.frame(cbind(ye,te))
colnames(df)=c("origin", "count")
df$count=as.numeric(as.character(df$count))
df$percentage= round(df$count/sum(te)*100,1)
df$pop=c(197.3, 3.18, 3.79, 10.5, 1.7, 1.3 )
totalpop=sum(df$po... |
#' Normalised sequence read coverage ratios for wild type S.cerevisiae W303
#'
#' Sequence read coverage ratios for wild type sample
#' (T7107 strain). The cells were stained with DNA dye and sorted
#' based on DNA content into S or G2/M phase fractions. Extracted
#' DNA was sequenced and mapped to sacCer3 genome.... | /R/W303norm.R | no_license | cran/Repliscope | R | false | false | 1,640 | r | #' Normalised sequence read coverage ratios for wild type S.cerevisiae W303
#'
#' Sequence read coverage ratios for wild type sample
#' (T7107 strain). The cells were stained with DNA dye and sorted
#' based on DNA content into S or G2/M phase fractions. Extracted
#' DNA was sequenced and mapped to sacCer3 genome.... |
world_map_title_www <- function(p) {
print_debug_info(p)
if (!is_world_map_www(p)) return(p)
p_return <- p # Don't pass the modified p (e.g. with swap) on to next function (bit of hack)
x_position_left <- p$labels_margin_left
if (!is_set(p$world_map_value)) {
title_width <- p$width
} else {
tit... | /R/world-map-title-www.R | permissive | data-science-made-easy/james | R | false | false | 1,580 | r | world_map_title_www <- function(p) {
print_debug_info(p)
if (!is_world_map_www(p)) return(p)
p_return <- p # Don't pass the modified p (e.g. with swap) on to next function (bit of hack)
x_position_left <- p$labels_margin_left
if (!is_set(p$world_map_value)) {
title_width <- p$width
} else {
tit... |
#' @include internal.R
NULL
#' Get coordinate reference system
#'
#' Extract the coordinate reference system from an object.
#'
#' @param x [sf::st_sf()], [terra::rast()], [Spatial-class], or
#' [raster::raster()] object.
#'
#' @return A [sf::st_crs()] object.
#'
#' @noRd
NULL
get_crs <- function(x) {
assert_requ... | /R/get_crs.R | no_license | prioritizr/prioritizr | R | false | false | 1,357 | r | #' @include internal.R
NULL
#' Get coordinate reference system
#'
#' Extract the coordinate reference system from an object.
#'
#' @param x [sf::st_sf()], [terra::rast()], [Spatial-class], or
#' [raster::raster()] object.
#'
#' @return A [sf::st_crs()] object.
#'
#' @noRd
NULL
get_crs <- function(x) {
assert_requ... |
# En este script buscamos relacionar la presencia de especies domésticas
# (vacas, borregos, perros, caballos) con integridad ecológica (ROBIN)
library(Hmisc)
library(rgdal)
library(sp)
library(raster)
library(dplyr)
# conexión a la base de datos (snmb)
PASS_SNMB = Sys.getenv("PASS_SNMB")
base_input <- src_postgres(d... | /integrity_domestic_animals/integrity_domestic.R | no_license | tereom/robin-snmb | R | false | false | 8,141 | r | # En este script buscamos relacionar la presencia de especies domésticas
# (vacas, borregos, perros, caballos) con integridad ecológica (ROBIN)
library(Hmisc)
library(rgdal)
library(sp)
library(raster)
library(dplyr)
# conexión a la base de datos (snmb)
PASS_SNMB = Sys.getenv("PASS_SNMB")
base_input <- src_postgres(d... |
teasel<-matrix(
c(
0, 0, 0, 0, 0, 322.388,
0.966, 0, 0, 0, 0, 0,
0.013, 0.01, 0.125, 0, 0, 3.488,
0.007, 0, 0.125, 0.238, 0, 30.170,
0.008, 0, 0.038, 0.245, 0.167, 0.862,
0, 0, 0, 0.023, 0.750, 0
),
nrow=6, byrow=TRUE,
dimnames=list(c("seed1", "see... | /data/teasel.R | no_license | ashander/popbio | R | false | false | 445 | r | teasel<-matrix(
c(
0, 0, 0, 0, 0, 322.388,
0.966, 0, 0, 0, 0, 0,
0.013, 0.01, 0.125, 0, 0, 3.488,
0.007, 0, 0.125, 0.238, 0, 30.170,
0.008, 0, 0.038, 0.245, 0.167, 0.862,
0, 0, 0, 0.023, 0.750, 0
),
nrow=6, byrow=TRUE,
dimnames=list(c("seed1", "see... |
## Put comments here that give an overall description of what your
## functions do
# Following functions calculates the Inverse of a matrix and store it in the Cache memory.
# If the matrix is not changed then R does not compute Inverse and returns Inverse of the matrix
# stored in the cache memory
## Write a short ... | /cachematrix.R | no_license | saurabh2086/ProgrammingAssignment2 | R | false | false | 1,279 | r | ## Put comments here that give an overall description of what your
## functions do
# Following functions calculates the Inverse of a matrix and store it in the Cache memory.
# If the matrix is not changed then R does not compute Inverse and returns Inverse of the matrix
# stored in the cache memory
## Write a short ... |
#assignment 1.5
#1. Create an m x n matrix with replicate(m, rnorm(n)) with m=10 column vectors of n=10 elements each,
#constructed with rnorm(n), which creates random normal numbers.
#Then we transform it into a dataframe (thus 10 observations of 10 variables) and perform an algebraic
#operation on each element ... | /assignment 1.5.R | no_license | Farhanaaz522/assignment-1.5 | R | false | false | 993 | r | #assignment 1.5
#1. Create an m x n matrix with replicate(m, rnorm(n)) with m=10 column vectors of n=10 elements each,
#constructed with rnorm(n), which creates random normal numbers.
#Then we transform it into a dataframe (thus 10 observations of 10 variables) and perform an algebraic
#operation on each element ... |
## Project: NYSG R/SHH-18 part 1.
## Purpose of study: investigate the effect of pre-growth condition and
## strain diversity on the nisin efficacy against Listeria monocytogenes
## on cold-smoked salmon.
## Purpose of script:
# i) post hoc analysis for the salmon lme model.
# ii) making figures associated with the s... | /hi_salmon_figures.R | no_license | FSL-MQIP/PregrowthListeria_Nisin | R | false | false | 19,266 | r |
## Project: NYSG R/SHH-18 part 1.
## Purpose of study: investigate the effect of pre-growth condition and
## strain diversity on the nisin efficacy against Listeria monocytogenes
## on cold-smoked salmon.
## Purpose of script:
# i) post hoc analysis for the salmon lme model.
# ii) making figures associated with the s... |
# Sum by person, condition, across event
all_pers <- all_events %>%
group_by(.subgrps., DUPERSID, VARSTR, VARPSU, PERWT.yy.F, Condition, count) %>%
summarize_at(vars(SF.yy.X, PR.yy.X, MR.yy.X, MD.yy.X, OZ.yy.X, XP.yy.X),sum) %>% ungroup
PERSdsgn <- svydesign(
id = ~VARPSU,
strata = ~VARSTR,
weights = ~... | /build_hc_tables/code/r/dsgn/cond_PERS.R | permissive | RandomCriticalAnalysis/MEPS-summary-tables | R | false | false | 366 | r | # Sum by person, condition, across event
all_pers <- all_events %>%
group_by(.subgrps., DUPERSID, VARSTR, VARPSU, PERWT.yy.F, Condition, count) %>%
summarize_at(vars(SF.yy.X, PR.yy.X, MR.yy.X, MD.yy.X, OZ.yy.X, XP.yy.X),sum) %>% ungroup
PERSdsgn <- svydesign(
id = ~VARPSU,
strata = ~VARSTR,
weights = ~... |
misoMatrices <- list.files("/Users/larssteenhuis/miso/matrices/stimuli_events/")
dexSeqMatrices <- "/Users/larssteenhuis/DEXSEQ/matrices/"
misoDexIntersect <- "/Users/larssteenhuis/intersectMisoDex/"
lapply(misoMatrices,function(x){
x <- "Rhizopus_oryzae_24h"
matrixFile <- paste(misoDexIntersect, "intersect_",x ,se... | /dexseq/scripts/R/makeIntersectionFiles.R | no_license | Lsteenhuis/visualizingDEStimulatedExons | R | false | false | 1,251 | r | misoMatrices <- list.files("/Users/larssteenhuis/miso/matrices/stimuli_events/")
dexSeqMatrices <- "/Users/larssteenhuis/DEXSEQ/matrices/"
misoDexIntersect <- "/Users/larssteenhuis/intersectMisoDex/"
lapply(misoMatrices,function(x){
x <- "Rhizopus_oryzae_24h"
matrixFile <- paste(misoDexIntersect, "intersect_",x ,se... |
#' Remove duplicates.
#'
#' @section Aesthetics:
#' \Sexpr[results=rd,stage=build]{animint2:::rd_aesthetics("a_stat", "unique")}
#'
#' @export
#' @inheritParams a_layer
#' @inheritParams a_geom_point
#' @examples
#' a_plot(mtcars, a_aes(vs, am)) + a_geom_point(alpha = 0.1)
#' a_plot(mtcars, a_aes(vs, am)) + a... | /R/stat-unique.r | no_license | vivekktiwari/animint2 | R | false | false | 1,104 | r | #' Remove duplicates.
#'
#' @section Aesthetics:
#' \Sexpr[results=rd,stage=build]{animint2:::rd_aesthetics("a_stat", "unique")}
#'
#' @export
#' @inheritParams a_layer
#' @inheritParams a_geom_point
#' @examples
#' a_plot(mtcars, a_aes(vs, am)) + a_geom_point(alpha = 0.1)
#' a_plot(mtcars, a_aes(vs, am)) + a... |
##Download zip file and save it in a folder on working directory:
if (!file.exists("./Project2")) {dir.create("./Project2")}
site <- "https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2FNEI_data.zip"
download.file(site, "./Project2/EPA.zip", method = "curl")
##Unzip file in the new directory:
unzip("./Project2/EPA.z... | /plot1.R | no_license | alroru95/Exploratory-Data-Analysis-Course-project-2 | R | false | false | 915 | r | ##Download zip file and save it in a folder on working directory:
if (!file.exists("./Project2")) {dir.create("./Project2")}
site <- "https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2FNEI_data.zip"
download.file(site, "./Project2/EPA.zip", method = "curl")
##Unzip file in the new directory:
unzip("./Project2/EPA.z... |
## app.R ##
library(shiny)
library(tidyverse)
library(leaflet)
library(markdown)
citydata <- read_csv("500_Cities__City-level_Data__GIS_Friendly_Format___2018_release.csv")
citydata <- tidyr::separate(data=citydata,
col=Geolocation,
into=c("Latitude", "Longitude"... | /app.R | no_license | mattdoesdata/cdc-map | R | false | false | 4,884 | r | ## app.R ##
library(shiny)
library(tidyverse)
library(leaflet)
library(markdown)
citydata <- read_csv("500_Cities__City-level_Data__GIS_Friendly_Format___2018_release.csv")
citydata <- tidyr::separate(data=citydata,
col=Geolocation,
into=c("Latitude", "Longitude"... |
f <-file.choose()
f
d <- read.table(f, header = TRUE, sep = "\t", stringsAsFactors = FALSE, fill = TRUE)
d
library(readr)
d <- read_tsv(f, col_names = TRUE) # for tab-separated value files
d
library(readxl)
f <- "data/CPDS-1960-2014-reduced.xlsx"
d <- read_excel(f, sheet = 1, col_names = TRUE)
head(d)
library(curl)
f ... | /Class_02_11.R | no_license | brittaw/ADA | R | false | false | 698 | r | f <-file.choose()
f
d <- read.table(f, header = TRUE, sep = "\t", stringsAsFactors = FALSE, fill = TRUE)
d
library(readr)
d <- read_tsv(f, col_names = TRUE) # for tab-separated value files
d
library(readxl)
f <- "data/CPDS-1960-2014-reduced.xlsx"
d <- read_excel(f, sheet = 1, col_names = TRUE)
head(d)
library(curl)
f ... |
##----------------------------------------------------------------------------------------------------------##
## Cedric Scherer (cedricphilippscherer@gmail.com) ##
## Creating NLMs as .txt files ... | /swifcol/R/nlms.R | no_license | marcosci/Sciaini_et_al_2018 | R | false | false | 1,766 | r | ##----------------------------------------------------------------------------------------------------------##
## Cedric Scherer (cedricphilippscherer@gmail.com) ##
## Creating NLMs as .txt files ... |
library(seewave)
### Name: dynspec
### Title: Dynamic sliding spectrum
### Aliases: dynspec
### Keywords: dplot ts
### ** Examples
## Not run:
##D data(sheep)
##D require(rpanel)
##D dynspec(sheep,f=8000,wl=1024,ovlp=50,osc=TRUE)
## End(Not run)
| /data/genthat_extracted_code/seewave/examples/dynspec.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 254 | r | library(seewave)
### Name: dynspec
### Title: Dynamic sliding spectrum
### Aliases: dynspec
### Keywords: dplot ts
### ** Examples
## Not run:
##D data(sheep)
##D require(rpanel)
##D dynspec(sheep,f=8000,wl=1024,ovlp=50,osc=TRUE)
## End(Not run)
|
% Generated by roxygen2 (4.1.0): do not edit by hand
% Please edit documentation in R/ac_ranking.R
\name{centroid.buckets}
\alias{centroid.buckets}
\title{Buckets Centroid}
\usage{
centroid.buckets(buckets, simulations = 1000)
}
\arguments{
\item{buckets}{a list where each element contains the index of the assets in
th... | /man/centroid.buckets.Rd | no_license | arturochian/PortfolioAnalytics-1 | R | false | false | 822 | rd | % Generated by roxygen2 (4.1.0): do not edit by hand
% Please edit documentation in R/ac_ranking.R
\name{centroid.buckets}
\alias{centroid.buckets}
\title{Buckets Centroid}
\usage{
centroid.buckets(buckets, simulations = 1000)
}
\arguments{
\item{buckets}{a list where each element contains the index of the assets in
th... |
#
# Functions for analysing A. Thaliana Tiling Arrays
# last modified: 05-06-2013
# first written: 03-06-2013
# (c) 2013 GBIC Yalan Bi, Danny Arends, R.C. Jansen
#
#************************************************************* plot exp part *************************************************************#
#plot 4 env se... | /functions/old/geneticsAS_s1_plot.r | no_license | YalanBi/AA | R | false | false | 7,341 | r | #
# Functions for analysing A. Thaliana Tiling Arrays
# last modified: 05-06-2013
# first written: 03-06-2013
# (c) 2013 GBIC Yalan Bi, Danny Arends, R.C. Jansen
#
#************************************************************* plot exp part *************************************************************#
#plot 4 env se... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/UCTSUpload.R
\name{UCTSAppend}
\alias{UCTSAppend}
\title{Append a xts to an existing UCTS timeseries in Datastream}
\usage{
UCTSAppend(
tsData,
TSCode = "",
MGMTGroup = "ABC",
freq = c("D", "W", "M", "Q", "Y"),
seriesName,
Units =... | /man/UCTSAppend.Rd | no_license | CharlesCara/DatastreamDSWS2R | R | false | true | 2,478 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/UCTSUpload.R
\name{UCTSAppend}
\alias{UCTSAppend}
\title{Append a xts to an existing UCTS timeseries in Datastream}
\usage{
UCTSAppend(
tsData,
TSCode = "",
MGMTGroup = "ABC",
freq = c("D", "W", "M", "Q", "Y"),
seriesName,
Units =... |
reconcile_predictions <- function(use_case = 'team_games',
predictions) {
if (use_case == 'team_games') {
}
}
| /R/reconcile_predictions.R | no_license | jimtheflash/nba.modelR | R | false | false | 152 | r | reconcile_predictions <- function(use_case = 'team_games',
predictions) {
if (use_case == 'team_games') {
}
}
|
\name{gtex.4k}
\alias{gtex.4k}
\docType{data}
\title{
Example data for the spqn package.
}
\description{
A random sample of 4,000 expressed genes (protein-coding or lincRNAs)
from GTEx v6p. The tissue is Adipose Subcutaneous.
}
\usage{data("gtex.4k")}
\format{An object of class \code{SummarizedExperiment}.
}
\details{
... | /man/gtex.4k.Rd | no_license | hansenlab/spqnData | R | false | false | 1,514 | rd | \name{gtex.4k}
\alias{gtex.4k}
\docType{data}
\title{
Example data for the spqn package.
}
\description{
A random sample of 4,000 expressed genes (protein-coding or lincRNAs)
from GTEx v6p. The tissue is Adipose Subcutaneous.
}
\usage{data("gtex.4k")}
\format{An object of class \code{SummarizedExperiment}.
}
\details{
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pphi.R
\name{pphi}
\alias{pphi}
\title{calculate the left-tail probability of phi-divergence under general correlation matrix.}
\usage{
pphi(q, M, k0, k1, s = 2, t = 30, onesided = FALSE)
}
\arguments{
\item{q}{- quantile, must be a ... | /man/pphi.Rd | no_license | cran/SetTest | R | false | true | 1,150 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pphi.R
\name{pphi}
\alias{pphi}
\title{calculate the left-tail probability of phi-divergence under general correlation matrix.}
\usage{
pphi(q, M, k0, k1, s = 2, t = 30, onesided = FALSE)
}
\arguments{
\item{q}{- quantile, must be a ... |
library(dplyr)
# Returns data frame with latest nytimes per state covid data.
# Output columns include:
# - date (as a date object)
# - state (as a string)
# - cases
# - newCasesPerDay (might be NA)
loadAndFormatNytimesCovidPerState <- function() {
covidByState <- read.csv2('https://raw.githubusercontent.com/nytimes... | /covid_log_log_diff/functions.R | permissive | jhofman/covid_log_log_diff | R | false | false | 814 | r | library(dplyr)
# Returns data frame with latest nytimes per state covid data.
# Output columns include:
# - date (as a date object)
# - state (as a string)
# - cases
# - newCasesPerDay (might be NA)
loadAndFormatNytimesCovidPerState <- function() {
covidByState <- read.csv2('https://raw.githubusercontent.com/nytimes... |
\name{NISTpascalTOinchOfWaterConvtnl}
\alias{NISTpascalTOinchOfWaterConvtnl}
\title{Convert pascal to inch of water, conventional 12}
\usage{NISTpascalTOinchOfWaterConvtnl(pascal)}
\description{\code{NISTpascalTOinchOfWaterConvtnl} converts from pascal (Pa) to inch of water, conventional (inH2O) 12 }
\arguments{
\it... | /man/NISTpascalTOinchOfWaterConvtnl.Rd | no_license | cran/NISTunits | R | false | false | 871 | rd | \name{NISTpascalTOinchOfWaterConvtnl}
\alias{NISTpascalTOinchOfWaterConvtnl}
\title{Convert pascal to inch of water, conventional 12}
\usage{NISTpascalTOinchOfWaterConvtnl(pascal)}
\description{\code{NISTpascalTOinchOfWaterConvtnl} converts from pascal (Pa) to inch of water, conventional (inH2O) 12 }
\arguments{
\it... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plots.R
\name{plot.rpca}
\alias{plot.rpca}
\title{Screeplot}
\usage{
\method{plot}{rpca}(x, ...)
}
\arguments{
\item{x}{Object returned by the \code{\link[rsvd]{rpca}} function.}
\item{...}{Additional arguments passed to the individual plot ... | /man/plot.rpca.Rd | no_license | cran/rsvd | R | false | true | 605 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plots.R
\name{plot.rpca}
\alias{plot.rpca}
\title{Screeplot}
\usage{
\method{plot}{rpca}(x, ...)
}
\arguments{
\item{x}{Object returned by the \code{\link[rsvd]{rpca}} function.}
\item{...}{Additional arguments passed to the individual plot ... |
# Download the file
if (!file.exists("getdata-projectfiles-UCI HAR Dataset.zip"))
{
download.file(url="https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip",
destfile = "getdata-projectfiles-UCI HAR Dataset.zip")
# Unzip the file
unzip("getdata-projectfiles-UCI HA... | /run_analysis.R | no_license | ltlow/Getting-And-Cleaning-Data | R | false | false | 2,348 | r | # Download the file
if (!file.exists("getdata-projectfiles-UCI HAR Dataset.zip"))
{
download.file(url="https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip",
destfile = "getdata-projectfiles-UCI HAR Dataset.zip")
# Unzip the file
unzip("getdata-projectfiles-UCI HA... |
testlist <- list(a = -1L, b = -15007745L, x = c(-1L, NA, -1L, -15066369L, -618987776L, 517726432L, -522133280L, -522125535L, -32L, -522133280L, -522133280L, -522133280L, -522133467L, -522133280L, -1310662432L, -522133280L, -7968L, -522133280L, -522133280L, -522133280L, NA, 0L, 0L, 0L, 110L))
result <- do.call(gratt... | /grattan/inst/testfiles/anyOutside/libFuzzer_anyOutside/anyOutside_valgrind_files/1610128207-test.R | no_license | akhikolla/updated-only-Issues | R | false | false | 357 | r | testlist <- list(a = -1L, b = -15007745L, x = c(-1L, NA, -1L, -15066369L, -618987776L, 517726432L, -522133280L, -522125535L, -32L, -522133280L, -522133280L, -522133280L, -522133467L, -522133280L, -1310662432L, -522133280L, -7968L, -522133280L, -522133280L, -522133280L, NA, 0L, 0L, 0L, 110L))
result <- do.call(gratt... |
library(lubridate)
library(dplyr)
url<- "https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip"
temp<-tempfile()
download.file(url, temp, method="curl")
data<- read.table(unz(temp, "household_power_consumption.txt"), header = T, sep = ";")
unlink(temp)
rm(temp, url)
data<- mutate(data,... | /Plot1.R | no_license | Yadanaparthiharsha/Individual-household-electric-power-consumption-Data-Set- | R | false | false | 868 | r |
library(lubridate)
library(dplyr)
url<- "https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip"
temp<-tempfile()
download.file(url, temp, method="curl")
data<- read.table(unz(temp, "household_power_consumption.txt"), header = T, sep = ";")
unlink(temp)
rm(temp, url)
data<- mutate(data,... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/info_utilities.R
\name{res_cendist}
\alias{res_cendist}
\title{Get average distance between H3 cell centers}
\usage{
res_cendist(res = NULL, units = c("m", "km"), fast = TRUE)
}
\arguments{
\item{res}{Integer; Desired H3 resolution. See
\url{... | /man/res_cendist.Rd | permissive | dcooley/h3jsr | R | false | true | 954 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/info_utilities.R
\name{res_cendist}
\alias{res_cendist}
\title{Get average distance between H3 cell centers}
\usage{
res_cendist(res = NULL, units = c("m", "km"), fast = TRUE)
}
\arguments{
\item{res}{Integer; Desired H3 resolution. See
\url{... |
### R code from vignette source 'rrcov.Rnw'
###################################################
### code chunk number 1: rrcov.Rnw:471-473
###################################################
## set the prompt to "R> " and the continuation to "+ "
options(prompt="R> ", continue="+ ")
#################################... | /resources/app/R-Portable-Win/library/rrcov/doc/rrcov.R | permissive | tim7en/SedSatV2_electron | R | false | false | 12,216 | r | ### R code from vignette source 'rrcov.Rnw'
###################################################
### code chunk number 1: rrcov.Rnw:471-473
###################################################
## set the prompt to "R> " and the continuation to "+ "
options(prompt="R> ", continue="+ ")
#################################... |
context("People data")
sample_person <- "peter-dinklage"
multi_person <- c("peter-dinklage", "maisie-williams")
test_that("trakt.people.summary returns data.frame", {
expect_is(trakt.people.summary(target = sample_person, extended = "min"), "data.frame")
expect_is(trakt.people.summary(target = sample_person, ext... | /tests/testthat/test_people-data.R | no_license | cran/tRakt | R | false | false | 1,277 | r | context("People data")
sample_person <- "peter-dinklage"
multi_person <- c("peter-dinklage", "maisie-williams")
test_that("trakt.people.summary returns data.frame", {
expect_is(trakt.people.summary(target = sample_person, extended = "min"), "data.frame")
expect_is(trakt.people.summary(target = sample_person, ext... |
#Error calculation for Model 1 across all plot sizes
#Load Model 1 predicted dbh distributions
load(file="PredictedDbhDistbn_Mod1.RData")
#Load observed dbh distributions
load(file="ObservedDbhDistbn.RData")
#Load observed Dominant height and age data
load(file="Dominant Height and Age Dataset_Model 1.Rda... | /Prediction Error Calculation Mod 1.R | no_license | Fedzzy/Diameter-Class-Growth-and-Yield---Thesis | R | false | false | 5,027 | r | #Error calculation for Model 1 across all plot sizes
#Load Model 1 predicted dbh distributions
load(file="PredictedDbhDistbn_Mod1.RData")
#Load observed dbh distributions
load(file="ObservedDbhDistbn.RData")
#Load observed Dominant height and age data
load(file="Dominant Height and Age Dataset_Model 1.Rda... |
This function converts temperatures in celsius to fahrenheit.
Although, I would mainly use temperatures in celsius
in my data analysis, I have had instances where the
hydrolab (what I am using to collect abiotic data in the field)
accidently gets set to fahrenheit instead of celsius.
I then have had to convert thos... | /convert_temp/Celsius_to_Fahrenheit.R | no_license | kearstinfindley/Project3 | R | false | false | 738 | r | This function converts temperatures in celsius to fahrenheit.
Although, I would mainly use temperatures in celsius
in my data analysis, I have had instances where the
hydrolab (what I am using to collect abiotic data in the field)
accidently gets set to fahrenheit instead of celsius.
I then have had to convert thos... |
\alias{gtkTreeStoreSet}
\name{gtkTreeStoreSet}
\title{gtkTreeStoreSet}
\description{Sets the value of one or more cells in the row referenced by \code{iter}.
The variable argument list should contain integer column numbers,
each column number followed by the value to be set.
The list is terminated by a -1. For example... | /man/gtkTreeStoreSet.Rd | no_license | cran/RGtk2.10 | R | false | false | 687 | rd | \alias{gtkTreeStoreSet}
\name{gtkTreeStoreSet}
\title{gtkTreeStoreSet}
\description{Sets the value of one or more cells in the row referenced by \code{iter}.
The variable argument list should contain integer column numbers,
each column number followed by the value to be set.
The list is terminated by a -1. For example... |
plot.l1pca <- function(x, ...) {
if(!inherits(x,"l1pca"))
stop("Not an l1pca object")
if(ncol(x$scores) == 1)
stop("Need scores in at least two dimensions")
plot(x$scores[,1:2])
}
| /R/plot.l1pca.R | no_license | cran/pcaL1 | R | false | false | 198 | r | plot.l1pca <- function(x, ...) {
if(!inherits(x,"l1pca"))
stop("Not an l1pca object")
if(ncol(x$scores) == 1)
stop("Need scores in at least two dimensions")
plot(x$scores[,1:2])
}
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/internal_fluo_est.R
\name{distfromcenter}
\alias{distfromcenter}
\title{distfromcenter}
\usage{
distfromcenter(data, center)
}
\arguments{
\item{data}{Data matrix. A 2-dimensional location.}
\item{center}{Data matrix. A second 2-dimensional ... | /man/distfromcenter.Rd | no_license | dianalow/CONFESS | R | false | true | 501 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/internal_fluo_est.R
\name{distfromcenter}
\alias{distfromcenter}
\title{distfromcenter}
\usage{
distfromcenter(data, center)
}
\arguments{
\item{data}{Data matrix. A 2-dimensional location.}
\item{center}{Data matrix. A second 2-dimensional ... |
# Script that checks which images are actually embedded in any file,
# given one or several folders of rmd files and a folder of images.
#
# Images that are not found to be embedded in any file, are removed from
# the image folder (either deleted or moved to a given folder)
remove_images <-
function(img, files, del... | /code/remove_images.R | no_license | oskarmwagner/datahandling | R | false | false | 1,428 | r | # Script that checks which images are actually embedded in any file,
# given one or several folders of rmd files and a folder of images.
#
# Images that are not found to be embedded in any file, are removed from
# the image folder (either deleted or moved to a given folder)
remove_images <-
function(img, files, del... |
library(readr)
library(dplyr)
# Remove duplicate Admission IDs from TrackVia in the Utilizations table
# Remove blank subscriber_id
# Read in data
util <- read.csv("utilization.csv")
# Get duplicates
util$dup <- duplicated(util$admission_id) | duplicated(util$admission_id, fromLast = TRUE)
# Subset duplicates
util_... | /utilization.R | no_license | CamdenCoalitionOfHealthcareProviders/database | R | false | false | 831 | r | library(readr)
library(dplyr)
# Remove duplicate Admission IDs from TrackVia in the Utilizations table
# Remove blank subscriber_id
# Read in data
util <- read.csv("utilization.csv")
# Get duplicates
util$dup <- duplicated(util$admission_id) | duplicated(util$admission_id, fromLast = TRUE)
# Subset duplicates
util_... |
#' An expert rule based system using Reduction Based on Significance
#'
#' @name CREA.RBS
#' @description CREA-RBS is a rule reduction method for allocating a significance value to each rule in the system so that experts
#' may select the rules that should be considered as preferable and understand the exact degree of ... | /R/CREARBS.R | no_license | datascienceumh/MachineLearning | R | false | false | 6,242 | r | #' An expert rule based system using Reduction Based on Significance
#'
#' @name CREA.RBS
#' @description CREA-RBS is a rule reduction method for allocating a significance value to each rule in the system so that experts
#' may select the rules that should be considered as preferable and understand the exact degree of ... |
# usage:
# R --slave --vanilla --file=ImpreciseDEASMAACCREfficienciesCLI_XMCDAv2.R --args "[inDirectory]" "[outDirectory]"
rm(list=ls())
# tell R to use the rJava package and the RXMCDA3 package
library(hitandrun)
library(rJava)
library(XMCDA3)
# cf. http://stackoverflow.com/questions/1815606/rscript-determine-path... | /ImpreciseDEACCR/ImpreciseDEASMAACCREfficiencies/src/ImpreciseDEASMAACCREfficienciesCLI_XMCDAv2.R | no_license | alabijak/diviz_DEA | R | false | false | 7,175 | r | # usage:
# R --slave --vanilla --file=ImpreciseDEASMAACCREfficienciesCLI_XMCDAv2.R --args "[inDirectory]" "[outDirectory]"
rm(list=ls())
# tell R to use the rJava package and the RXMCDA3 package
library(hitandrun)
library(rJava)
library(XMCDA3)
# cf. http://stackoverflow.com/questions/1815606/rscript-determine-path... |
% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/distributions.R
\name{summary_gamma}
\alias{summary_gamma}
\title{Summary of a Gamma distribution}
\usage{
summary_gamma(a, b, output = "list", ...)
}
\arguments{
\item{a,b}{Shape and rate parameters.}
\item{output}{\code{"list"} to ... | /man/summary_gamma.Rd | no_license | stla/brr | R | false | false | 655 | rd | % Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/distributions.R
\name{summary_gamma}
\alias{summary_gamma}
\title{Summary of a Gamma distribution}
\usage{
summary_gamma(a, b, output = "list", ...)
}
\arguments{
\item{a,b}{Shape and rate parameters.}
\item{output}{\code{"list"} to ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/hlpr.R
\name{matrixSwitch}
\alias{matrixSwitch}
\title{Switch that takes expression and results as vectors (helper.R)}
\usage{
matrixSwitch(expression, ...)
}
\arguments{
\item{expression}{Expression vector}
\item{...}{Cases and vectors of r... | /man/matrixSwitch.Rd | no_license | solavrov/hlpr | R | false | true | 572 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/hlpr.R
\name{matrixSwitch}
\alias{matrixSwitch}
\title{Switch that takes expression and results as vectors (helper.R)}
\usage{
matrixSwitch(expression, ...)
}
\arguments{
\item{expression}{Expression vector}
\item{...}{Cases and vectors of r... |
#' @importFrom magrittr %>%
Training <- R6::R6Class(
"Training",
public = list(
#'@field points dataframe
points = NULL,
#' @description Constructor class
initialize = function(width, height, amount){
x = sample(width,amount)
y = sample(height,amount)
points <- data.frame(x,y... | /training.R | no_license | dlotto/Learning-Neural-Networks | R | false | false | 1,011 | r |
#' @importFrom magrittr %>%
Training <- R6::R6Class(
"Training",
public = list(
#'@field points dataframe
points = NULL,
#' @description Constructor class
initialize = function(width, height, amount){
x = sample(width,amount)
y = sample(height,amount)
points <- data.frame(x,y... |
# Fingerprinting worker script - running single chip enrichment option
# Delay allows time to monitor process starting up
print("preparing for script launch, 5s synch delay")
Sys.sleep(5)
# Read the genelist in
genelist <- sampleset[[8]];
total <- length(genelist)
# load contents of directory once
# this used to be wit... | /Fingerprint running scripts/random_SCE_sq_parallel/random_SCE_parallel_h.R | no_license | hidelab/database-fingerprint-scripts | R | false | false | 1,415 | r | # Fingerprinting worker script - running single chip enrichment option
# Delay allows time to monitor process starting up
print("preparing for script launch, 5s synch delay")
Sys.sleep(5)
# Read the genelist in
genelist <- sampleset[[8]];
total <- length(genelist)
# load contents of directory once
# this used to be wit... |
### LOAD LIBRARIES -----------------------------------------------------------------------------------------
library("gplots")
library("RColorBrewer")
library("stringr")
### SET PATHS ----------------------------------------------------------------------------------------------
dir.wrk <- file.path("/Data/Raunak/proje... | /task/03_enrichment_analysis/scripts/02_02_compile_enrichment_data_kegg.R | permissive | raunakms/meso_pem | R | false | false | 3,777 | r | ### LOAD LIBRARIES -----------------------------------------------------------------------------------------
library("gplots")
library("RColorBrewer")
library("stringr")
### SET PATHS ----------------------------------------------------------------------------------------------
dir.wrk <- file.path("/Data/Raunak/proje... |
#' @title Chi square tests for symptom mapping
#'
#' @description
#' Lesion to symptom mapping performed on a prepared matrix.
#' The behavior must be a binary vector.
#' Chi square tests are performed at each voxel. By default
#' the Yates correction is performed, use \code{correct=FALSE}
#' if you need to disable it.... | /R/lsm_chisq.R | permissive | mbowren/LESYMAP | R | false | false | 3,294 | r | #' @title Chi square tests for symptom mapping
#'
#' @description
#' Lesion to symptom mapping performed on a prepared matrix.
#' The behavior must be a binary vector.
#' Chi square tests are performed at each voxel. By default
#' the Yates correction is performed, use \code{correct=FALSE}
#' if you need to disable it.... |
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