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 |
|---|---|---|---|---|---|---|---|---|---|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/errors.R
\name{correlation_spearman}
\alias{correlation_spearman}
\title{Spearman Correlation Scoring Function}
\usage{
correlation_spearman(x)
}
\arguments{
\item{x}{input dataframe. Should contain field: predCS and expCS.}
}
\description{
T... | /man/correlation_spearman.Rd | permissive | atfrank/nmR | R | false | true | 387 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/errors.R
\name{correlation_spearman}
\alias{correlation_spearman}
\title{Spearman Correlation Scoring Function}
\usage{
correlation_spearman(x)
}
\arguments{
\item{x}{input dataframe. Should contain field: predCS and expCS.}
}
\description{
T... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/hypo with binary.R
\name{hypothesis}
\alias{hypothesis}
\title{Hypothesis testing}
\usage{
hypothesis(x, y)
}
\arguments{
\item{x=}{dataframe}
\item{y=}{Binary target variable}
}
\value{
It will return DataFrame having P-value,... | /man/hypothesis.Rd | no_license | jonathan392/hypothesis | R | false | true | 474 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/hypo with binary.R
\name{hypothesis}
\alias{hypothesis}
\title{Hypothesis testing}
\usage{
hypothesis(x, y)
}
\arguments{
\item{x=}{dataframe}
\item{y=}{Binary target variable}
}
\value{
It will return DataFrame having P-value,... |
suppressWarnings(RNGversion("3.5.9"))
set.seed(42)
n <- 2000
knapsack_objects <- data.frame(
w=sample(1:4000, size = n, replace = TRUE),
v=runif(n = n, 0, 10000)
# w=c(1,2,5,6,7,9) ,
# v=c(1,6,18,22,28,36)
)
# x,y,z for test
#x <- knapsack_objects[1:4,]
#y <- knapsack_objects[1:8,]
#z <- knapsack_objects[1:12,]... | /lab6/R/greedyknapsack.r | no_license | fengjuanchen/lab6 | R | false | false | 2,076 | r | suppressWarnings(RNGversion("3.5.9"))
set.seed(42)
n <- 2000
knapsack_objects <- data.frame(
w=sample(1:4000, size = n, replace = TRUE),
v=runif(n = n, 0, 10000)
# w=c(1,2,5,6,7,9) ,
# v=c(1,6,18,22,28,36)
)
# x,y,z for test
#x <- knapsack_objects[1:4,]
#y <- knapsack_objects[1:8,]
#z <- knapsack_objects[1:12,]... |
coag.lm <- lm(coag ~ diet, data = coagulation)
msummary(coag.lm)
| /inst/snippet/coag02r.R | no_license | rpruim/fastR2 | R | false | false | 67 | r | coag.lm <- lm(coag ~ diet, data = coagulation)
msummary(coag.lm)
|
#.Rprofile
cat(paste(
"-----------------------------------------------",
"Welcome to the SURFSara 2 November 2018 Bootcamp",
"This is Track 3 'Analytics Using R'",
"You moderators today are:",
"Jonathan de Bruin - University Utrecht",
"Jan-Willem Lankhaar - Hogeschool Utrecht",
"Marc Teunis - Hogeschool Utrecht (track... | /.Rprofile | no_license | uashogeschoolutrecht/surfR | R | false | false | 571 | rprofile | #.Rprofile
cat(paste(
"-----------------------------------------------",
"Welcome to the SURFSara 2 November 2018 Bootcamp",
"This is Track 3 'Analytics Using R'",
"You moderators today are:",
"Jonathan de Bruin - University Utrecht",
"Jan-Willem Lankhaar - Hogeschool Utrecht",
"Marc Teunis - Hogeschool Utrecht (track... |
library(httr)
# 1. Find OAuth settings for linkedin:
# https://developer.linkedin.com/documents/linkedins-oauth-details
<<<<<<< HEAD
oauth_endpoints("linkedin")
=======
endpoints <- oauth_endpoints("linkedin")
>>>>>>> ddff10c8c1a385735ed59fadb33c4b79e43db9ce
# 2. Register an application at https://www.linkedin.com... | /lib/site-library/httr/demo/oauth2-linkedin.r | no_license | ToyamaLab/NewSSQL | R | false | false | 1,847 | r | library(httr)
# 1. Find OAuth settings for linkedin:
# https://developer.linkedin.com/documents/linkedins-oauth-details
<<<<<<< HEAD
oauth_endpoints("linkedin")
=======
endpoints <- oauth_endpoints("linkedin")
>>>>>>> ddff10c8c1a385735ed59fadb33c4b79e43db9ce
# 2. Register an application at https://www.linkedin.com... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/predict.R
\name{predict.egf}
\alias{predict.egf}
\title{Compute predicted values}
\usage{
\method{predict}{egf}(
object,
what = c("interval", "cumulative", "rt"),
time,
window,
log = TRUE,
se = FALSE,
...
)
}
\arguments{
\item{o... | /man/predict.egf.Rd | no_license | davidearn/epigrowthfit | R | false | true | 3,158 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/predict.R
\name{predict.egf}
\alias{predict.egf}
\title{Compute predicted values}
\usage{
\method{predict}{egf}(
object,
what = c("interval", "cumulative", "rt"),
time,
window,
log = TRUE,
se = FALSE,
...
)
}
\arguments{
\item{o... |
sigex.mlefit <- function(data.ts,param,flag,mdl,method,hess=TRUE,whittle=FALSE)
{
##########################################################################
#
# sigex.mlefit
# Copyright (C) 2017 Tucker McElroy
#
# This program is free software: you can redistribute it and/or modify
# it under the te... | /R/sigex.mlefit.r | no_license | palatej/sigex | R | false | false | 4,515 | r | sigex.mlefit <- function(data.ts,param,flag,mdl,method,hess=TRUE,whittle=FALSE)
{
##########################################################################
#
# sigex.mlefit
# Copyright (C) 2017 Tucker McElroy
#
# This program is free software: you can redistribute it and/or modify
# it under the te... |
\name{methods.rhohat}
\alias{methods.rhohat} %DoNotExport
\alias{print.rhohat}
\alias{plot.rhohat}
\alias{predict.rhohat}
\alias{simulate.rhohat}
\title{
Methods for Intensity Functions of Spatial Covariate
}
\description{
These are methods for the class \code{"rhohat"}.
}
\usage{
\method{print}{rhohat}(x, ...)
\... | /man/methods.rhohat.Rd | no_license | spatstat/spatstat.core | R | false | false | 3,406 | rd | \name{methods.rhohat}
\alias{methods.rhohat} %DoNotExport
\alias{print.rhohat}
\alias{plot.rhohat}
\alias{predict.rhohat}
\alias{simulate.rhohat}
\title{
Methods for Intensity Functions of Spatial Covariate
}
\description{
These are methods for the class \code{"rhohat"}.
}
\usage{
\method{print}{rhohat}(x, ...)
\... |
####create fluid row####
fluidRow(
#### put input area here ####
column(4,
style = "background-color: #E8E8E8",
##change the title here
div(style="display: inline-block; vertical-align:top; text-align:center; width: 100%;",
strong("Independent t - Means")),
... | /MOTE/indtM_page.R | no_license | pbeleco/shiny-server | R | false | false | 2,361 | r | ####create fluid row####
fluidRow(
#### put input area here ####
column(4,
style = "background-color: #E8E8E8",
##change the title here
div(style="display: inline-block; vertical-align:top; text-align:center; width: 100%;",
strong("Independent t - Means")),
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ixp.R
\docType{package}
\name{ixp-package}
\alias{ixp}
\alias{ixp-package}
\title{The ixp package holds ixp data and functions for loading,
manipulating, analysing and visualising the data.
@keywords internal}
\description{
IXP d... | /ixp/man/ixp-package.Rd | no_license | phil8192/ixp | R | false | true | 528 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ixp.R
\docType{package}
\name{ixp-package}
\alias{ixp}
\alias{ixp-package}
\title{The ixp package holds ixp data and functions for loading,
manipulating, analysing and visualising the data.
@keywords internal}
\description{
IXP d... |
# Exploratory Data Analysis - Assignment 2 - Q. #1
# Loading provided datasets - loading from local machine
NEI <- readRDS("summarySCC_PM25.rds")
SCC <- readRDS("Source_Classification_Code.rds")
# Aggregate
Emissions <- aggregate(NEI[, 'Emissions'], by=list(NEI$year), FUN=sum)
Emissions$PM <- round(Emissions[... | /Week 4/Plot1.R | no_license | malhotrasuchit/DataScienceCoursera | R | false | false | 860 | r | # Exploratory Data Analysis - Assignment 2 - Q. #1
# Loading provided datasets - loading from local machine
NEI <- readRDS("summarySCC_PM25.rds")
SCC <- readRDS("Source_Classification_Code.rds")
# Aggregate
Emissions <- aggregate(NEI[, 'Emissions'], by=list(NEI$year), FUN=sum)
Emissions$PM <- round(Emissions[... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/readJMD.R
\name{ReadJMD}
\alias{ReadJMD}
\title{Download the Japanese Mortality Database (JMD)}
\usage{
ReadJMD(what, regions = NULL, interval = "1x1", save = FALSE,
show = TRUE)
}
\arguments{
\item{what}{What type of data are you looking f... | /man/ReadJMD.Rd | permissive | SheilaDesanze/MortalityLaws | R | false | true | 5,909 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/readJMD.R
\name{ReadJMD}
\alias{ReadJMD}
\title{Download the Japanese Mortality Database (JMD)}
\usage{
ReadJMD(what, regions = NULL, interval = "1x1", save = FALSE,
show = TRUE)
}
\arguments{
\item{what}{What type of data are you looking f... |
#setwd("D:\\Sonali\\000 La Vita Nuova\\NISM\\PGCDS\\TERM 1\\003 Applied Econometrics\\assignment #1 - movie earnings")
getwd()
#rm(list=ls())
data<-read.csv("data\\box_FM.csv",header=T,sep=",")
na.omit(data)
attach(data)
dim(data)
colnames(data)
tv_stats <- cbind(tv_weeks,tv_spots,tv_channels,tv_grps,tv_spend)
yt_st... | /Applied Econometrics/ASSIGNMENT 1 - go bollywood/assignment #1 - movie earnings _archived/movie earning prediction/movie earning prediction v2.0.R | no_license | snimkar0924/PGCDS | R | false | false | 896 | r | #setwd("D:\\Sonali\\000 La Vita Nuova\\NISM\\PGCDS\\TERM 1\\003 Applied Econometrics\\assignment #1 - movie earnings")
getwd()
#rm(list=ls())
data<-read.csv("data\\box_FM.csv",header=T,sep=",")
na.omit(data)
attach(data)
dim(data)
colnames(data)
tv_stats <- cbind(tv_weeks,tv_spots,tv_channels,tv_grps,tv_spend)
yt_st... |
setwd("C:/Users/gec9/Google Drive/aaPhD/miersvalley201516")
dat <- read.csv("data/nantarcticus/pitfallnantarcticus.csv")
dat$pitfall_sum <- rowSums(dat[,-1])
write.csv(dat, "data/nantarcticus/pitfallnantarcticustotals.csv", row.names = FALSE)
plot(dat$datetime, dat$pitfall_sum)
| /nantarcticus_overview.R | no_license | gec9/advanced-programming-in-r | R | false | false | 283 | r | setwd("C:/Users/gec9/Google Drive/aaPhD/miersvalley201516")
dat <- read.csv("data/nantarcticus/pitfallnantarcticus.csv")
dat$pitfall_sum <- rowSums(dat[,-1])
write.csv(dat, "data/nantarcticus/pitfallnantarcticustotals.csv", row.names = FALSE)
plot(dat$datetime, dat$pitfall_sum)
|
#############################################################################
#
# XLConnect
# Copyright (C) 2010-2016 Mirai Solutions GmbH
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation... | /R/workbook.setStyleAction.R | no_license | tk3369/xlconnect | R | false | false | 1,405 | r | #############################################################################
#
# XLConnect
# Copyright (C) 2010-2016 Mirai Solutions GmbH
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation... |
##
## Begin jamarin (John A. Marin) code
##
# +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
# The PWS.Query.Subset S4 class provides regional subset information for user searches +
# + ... | /R/S4.Query.Subset.R | no_license | MatthewSchumwinger/wundr | R | false | false | 6,383 | r | ##
## Begin jamarin (John A. Marin) code
##
# +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
# The PWS.Query.Subset S4 class provides regional subset information for user searches +
# + ... |
# create antennasite area polygons
voronoi_segmentation = function(){
# extract coordinates of antennas/sites
x = antennalocations$lon
y = antennalocations$lat
coords = data.frame(x,y)
#function to get Voronoi-SpatialPolygons from coordinates of antenna positions, confined by a big polygon (SpatialPolygonsDataframe... | /voronoi_segmentation.R | no_license | MaxPaurat/Malaria-and-Mobile-Phone-Data | R | false | false | 1,511 | r | # create antennasite area polygons
voronoi_segmentation = function(){
# extract coordinates of antennas/sites
x = antennalocations$lon
y = antennalocations$lat
coords = data.frame(x,y)
#function to get Voronoi-SpatialPolygons from coordinates of antenna positions, confined by a big polygon (SpatialPolygonsDataframe... |
\name{nrm2}
\alias{nrm2}
\title{ Forms the Euclidean norm of a vector }
\description{
See Marazzi A. (1993), p.351}
\usage{
nrm2(x, n = nrow(x), incx = 1)
}
\arguments{
\item{x}{ See reference}
\item{n}{ See reference}
\item{incx}{ See reference}
}
\value{
See reference
}
\references{
Maraz... | /man/nrm2.Rd | no_license | cran/robeth | R | false | false | 488 | rd | \name{nrm2}
\alias{nrm2}
\title{ Forms the Euclidean norm of a vector }
\description{
See Marazzi A. (1993), p.351}
\usage{
nrm2(x, n = nrow(x), incx = 1)
}
\arguments{
\item{x}{ See reference}
\item{n}{ See reference}
\item{incx}{ See reference}
}
\value{
See reference
}
\references{
Maraz... |
### This is a script to reorganise the LOTR dataframes
library(ggbiplot) # To plot PCA
setwd("/home/masha/Desktop/M2/Complex_networks/Project/Downloaded_LOTR_csv")
# First, I import the interactions between the characters/ objects/ places. I have the interactions by volume:
lotr = read.csv("networks-id-volume... | /projects/6/New_pca_script.R | no_license | CazabetLyon1/CN_analysis_class | R | false | false | 6,988 | r | ### This is a script to reorganise the LOTR dataframes
library(ggbiplot) # To plot PCA
setwd("/home/masha/Desktop/M2/Complex_networks/Project/Downloaded_LOTR_csv")
# First, I import the interactions between the characters/ objects/ places. I have the interactions by volume:
lotr = read.csv("networks-id-volume... |
#Folder paths
snp_path = ""
file_path = ""
data_path = ""
split_sample_path = ""
#Write .do code to keep SNPs for each trait for MR data
#Load in harmonised data
exposure_dat_harmonised = read.csv(paste(snp_path,"\\exposure_dat_harmonised_8.csv",sep=""))
traits = unique(exposure_dat_harmonised$trait[exposur... | /Code/R/mr_snps_to_keep_generation.R | no_license | sean-harrison-bristol/Effects-of-Health-Conditions-and-Risk-Factors-on-Socioeconomic-Outcomes | R | false | false | 7,747 | r | #Folder paths
snp_path = ""
file_path = ""
data_path = ""
split_sample_path = ""
#Write .do code to keep SNPs for each trait for MR data
#Load in harmonised data
exposure_dat_harmonised = read.csv(paste(snp_path,"\\exposure_dat_harmonised_8.csv",sep=""))
traits = unique(exposure_dat_harmonised$trait[exposur... |
# functionPCVeval_overQnum.R
#### Description: This script defines a function that evaluates PCVeval over an input data set over all questions
#### Arguments:
# data.in: A way to pass in PHQ9 data
#### Returns: (Type=list())
# a list of length rowdim(dat.in)
# each list is an evaluation of Peval corresponding t... | /Scripts/cvAnalysis/Unused/functionPCVeval_overQnum.R | no_license | leepanter/ProbabilisticScoring | R | false | false | 1,015 | r | # functionPCVeval_overQnum.R
#### Description: This script defines a function that evaluates PCVeval over an input data set over all questions
#### Arguments:
# data.in: A way to pass in PHQ9 data
#### Returns: (Type=list())
# a list of length rowdim(dat.in)
# each list is an evaluation of Peval corresponding t... |
context("filter tx")
library(FeatureReachR)
NF <- filter_Tx(system.file("extdata", "gencode.vM20.annotation.gff3.gz", package = "FeatureReachR"), filter = FALSE, protein.coding = FALSE)
Filt <- filter_Tx(system.file("extdata", "gencode.vM20.annotation.gff3.gz", package = "FeatureReachR"), filter = TRUE, protein.coding... | /tests/testthat/test-filterTx.R | no_license | TaliaferroLab/FeatureReachR | R | false | false | 807 | r | context("filter tx")
library(FeatureReachR)
NF <- filter_Tx(system.file("extdata", "gencode.vM20.annotation.gff3.gz", package = "FeatureReachR"), filter = FALSE, protein.coding = FALSE)
Filt <- filter_Tx(system.file("extdata", "gencode.vM20.annotation.gff3.gz", package = "FeatureReachR"), filter = TRUE, protein.coding... |
\name{bouncer}
\alias{bouncer}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{Remove rare or low-frequency species from a community dataset
%% ~~function to do ... ~~
}
\description{Sometimes rare/low-frequency species can make finding a good ordination solution difficult. This function identifi... | /man/bouncer.Rd | permissive | devanmcg/rangeR | R | false | false | 2,592 | rd | \name{bouncer}
\alias{bouncer}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{Remove rare or low-frequency species from a community dataset
%% ~~function to do ... ~~
}
\description{Sometimes rare/low-frequency species can make finding a good ordination solution difficult. This function identifi... |
library(reshape2)
DEBUG=1
args = commandArgs(trailingOnly=TRUE)
rnaseqFile = args[1]
snpFamFile = args[2]
outputFile = args[3]
if(DEBUG){
rnaseqFile = "/scratch/cqs/shengq2/guoyan/prepareRnaseq/result/BRCA/BRCA.rnaseq2.count.tsv"
snpFamFile = "/workspace/guoy1/TCGA_affy/Affy60_BC_HG19/Affy60_BC_remove_duplicate... | /lib/TCGA/FindRNASeqSNPOverlap.r | permissive | shengqh/ngsperl | R | false | false | 1,372 | r |
library(reshape2)
DEBUG=1
args = commandArgs(trailingOnly=TRUE)
rnaseqFile = args[1]
snpFamFile = args[2]
outputFile = args[3]
if(DEBUG){
rnaseqFile = "/scratch/cqs/shengq2/guoyan/prepareRnaseq/result/BRCA/BRCA.rnaseq2.count.tsv"
snpFamFile = "/workspace/guoy1/TCGA_affy/Affy60_BC_HG19/Affy60_BC_remove_duplicate... |
debug.flag <- FALSE
# version 1.3
message("
,-.-. ,---.| |,---.| ,---. |
| | |,---.| |---.||---||--- ,---.|---|,---.,---.| , .,---,,---.,---.
| | |,---|| | ||| || | || |... | /MaChIAto_Analyzer/MaChIAtoAnalyzer.R | no_license | Kazuki-Nakamae/MAChIAto | R | false | false | 52,315 | r |
debug.flag <- FALSE
# version 1.3
message("
,-.-. ,---.| |,---.| ,---. |
| | |,---.| |---.||---||--- ,---.|---|,---.,---.| , .,---,,---.,---.
| | |,---|| | ||| || | || |... |
# Load Data -----------------------------------------------------------------------------------
proj_all_pop <- readr::read_rds("clean_data/Aging/overview/pop_proj_all.rds")
# text module ----
working_overview_ui <- function(id) {
fluidRow(
box(
# title = "Overview of Aging Texans",
side="left",... | /modules/working_age/working_overview.R | no_license | texas-2036/health_reporting_tool | R | false | false | 2,262 | r |
# Load Data -----------------------------------------------------------------------------------
proj_all_pop <- readr::read_rds("clean_data/Aging/overview/pop_proj_all.rds")
# text module ----
working_overview_ui <- function(id) {
fluidRow(
box(
# title = "Overview of Aging Texans",
side="left",... |
## some awkward cases for predict
## (in response to bug reports from Arthur Spirling and Fonti Kar)
options(digits = 4) ## only applies to this file
## The final model in example(flatlizards)
library(BradleyTerry2)
data(flatlizards, package = "BradleyTerry2")
Whiting.model3 <- BTm(1, winner, loser, ~ throat.PC1[..] ... | /tests/predict.R | no_license | hturner/BradleyTerry2 | R | false | false | 4,934 | r | ## some awkward cases for predict
## (in response to bug reports from Arthur Spirling and Fonti Kar)
options(digits = 4) ## only applies to this file
## The final model in example(flatlizards)
library(BradleyTerry2)
data(flatlizards, package = "BradleyTerry2")
Whiting.model3 <- BTm(1, winner, loser, ~ throat.PC1[..] ... |
corr <- function(directory,threshold=0){
## initialize numeric vector of length 1 and value=0
vcor <- vector("numeric")
df_nobs <- complete(directory)
## return subset with nobs>threshold
df_nobs_subset <- subset(df_nobs,df_nobs$nobs>threshold)
## counter
i=1
## iterate over ids with nobs>threshold
... | /Coursera/R_Programming/Assignments/Week2/corr.R | no_license | Feynman27/datasciencecoursera | R | false | false | 507 | r | corr <- function(directory,threshold=0){
## initialize numeric vector of length 1 and value=0
vcor <- vector("numeric")
df_nobs <- complete(directory)
## return subset with nobs>threshold
df_nobs_subset <- subset(df_nobs,df_nobs$nobs>threshold)
## counter
i=1
## iterate over ids with nobs>threshold
... |
#' Read Protein Sequences in FASTA Format
#'
#' Read Protein Sequences in FASTA Format
#'
#' This function reads protein sequences in FASTA format.
#'
#' @param file The name of the file which the sequences in fasta format are
#' to be read from. If it does not contain an absolute or
#' ... | /R/misc01readFASTA.R | no_license | Jmonee/protr | R | false | false | 3,564 | r | #' Read Protein Sequences in FASTA Format
#'
#' Read Protein Sequences in FASTA Format
#'
#' This function reads protein sequences in FASTA format.
#'
#' @param file The name of the file which the sequences in fasta format are
#' to be read from. If it does not contain an absolute or
#' ... |
library(igraph)
library(animation)
setwd("/home/herb/git/networks/")
ani.start()
g = read.graph("/home/herb/git/networks/graph-data/graph1.pajek", "pajek")
#l = layout.fruchterman.reingold(g)
l = layout.circle(g)
for(i in seq(1, 100)) {
print(i)
g = read.graph(paste("/home/herb/git/networks/graph-data/graph", i... | /r/graph-animate.r | no_license | herbps10/networks | R | false | false | 419 | r | library(igraph)
library(animation)
setwd("/home/herb/git/networks/")
ani.start()
g = read.graph("/home/herb/git/networks/graph-data/graph1.pajek", "pajek")
#l = layout.fruchterman.reingold(g)
l = layout.circle(g)
for(i in seq(1, 100)) {
print(i)
g = read.graph(paste("/home/herb/git/networks/graph-data/graph", i... |
#' Main MetRKAT class
#'
#' @slot data data.frame.
#' @slot wsize numeric.
#' @slot wmethod character.
#' @slot gap numeric.
#' @slot intervals data.frame.
#' @slot results data.frame.
#' @slot annotation data.frame.
#' @slot distmethod character.
#' @slot max.na numeric.
#'
#' @return
#' @export
#'
#' @examples
setCla... | /MetKMR/MetKMR_1.0/R/AllClass.R | no_license | RuthBarral/MetKMR | R | false | false | 1,815 | r | #' Main MetRKAT class
#'
#' @slot data data.frame.
#' @slot wsize numeric.
#' @slot wmethod character.
#' @slot gap numeric.
#' @slot intervals data.frame.
#' @slot results data.frame.
#' @slot annotation data.frame.
#' @slot distmethod character.
#' @slot max.na numeric.
#'
#' @return
#' @export
#'
#' @examples
setCla... |
#' Determine if you have enough RAM memory
#'
#' This function determines if you have enough RAM memory on your system.
#'
#' @param how_much The number of bytes you want to compare against.
#'
#' @return A `logical(1)` indicating whether your system has enough RAM memory.
#' @export
#'
#' @details If `benchmarkme::get... | /R/enough_ram.R | no_license | realyuyangyang/spatialLIBD | R | false | false | 906 | r | #' Determine if you have enough RAM memory
#'
#' This function determines if you have enough RAM memory on your system.
#'
#' @param how_much The number of bytes you want to compare against.
#'
#' @return A `logical(1)` indicating whether your system has enough RAM memory.
#' @export
#'
#' @details If `benchmarkme::get... |
##For data processing
if(!file.exists("exdata-data-household_power_consumption.zip")) {
temp <- tempfile()
download.file("http://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip",temp)
alldata <- unzip(temp)
unlink(temp)
}
##read the data and extract the data we need from 0... | /plot3.R | no_license | quanwaidian/ExData_Plotting1 | R | false | false | 1,511 | r | ##For data processing
if(!file.exists("exdata-data-household_power_consumption.zip")) {
temp <- tempfile()
download.file("http://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip",temp)
alldata <- unzip(temp)
unlink(temp)
}
##read the data and extract the data we need from 0... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/fit_visdata.R
\name{fit.visdata}
\alias{fit.visdata}
\title{This functino processes visual data to determine detection probabilities and strip widths for each platform
Saves model output to files, and makes plots for evaluating model fit.
Ret... | /HabitatProject/man/fit.visdata.Rd | no_license | kfrasier/AcoustoVisualDE | R | false | true | 710 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/fit_visdata.R
\name{fit.visdata}
\alias{fit.visdata}
\title{This functino processes visual data to determine detection probabilities and strip widths for each platform
Saves model output to files, and makes plots for evaluating model fit.
Ret... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/elasticache_operations.R
\name{elasticache_batch_stop_update_action}
\alias{elasticache_batch_stop_update_action}
\title{Stop the service update}
\usage{
elasticache_batch_stop_update_action(ReplicationGroupIds,
CacheClusterIds, ServiceUpda... | /cran/paws.database/man/elasticache_batch_stop_update_action.Rd | permissive | johnnytommy/paws | R | false | true | 971 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/elasticache_operations.R
\name{elasticache_batch_stop_update_action}
\alias{elasticache_batch_stop_update_action}
\title{Stop the service update}
\usage{
elasticache_batch_stop_update_action(ReplicationGroupIds,
CacheClusterIds, ServiceUpda... |
#' @title Community Time Series Comparison with generateTS
#' @description Compare community time series generated with generateTS.
#'
#' @details If R package infotheo is installed, the entropy of time series
#' is computed.
#'
#' @param input.folder the folder where results (settings and time series) of function gene... | /R/compareTS.R | no_license | microbiome/seqtime | R | false | false | 14,875 | r | #' @title Community Time Series Comparison with generateTS
#' @description Compare community time series generated with generateTS.
#'
#' @details If R package infotheo is installed, the entropy of time series
#' is computed.
#'
#' @param input.folder the folder where results (settings and time series) of function gene... |
#' box shadow UI Function
#'
#' @description A shiny Module.
#'
#' @param id,input,output,session Internal parameters for {shiny}.
#'
#' @noRd
#'
#' @importFrom shiny NS tagList
mod_box_shadow_ui <- function(id){
ns <- NS(id)
tagList(
numericInput(inputId = ns("x_offset"),
label = "X Offset",... | /R/mod_box_shadow.R | permissive | aftonsteps/shinycsshelper | R | false | false | 1,783 | r | #' box shadow UI Function
#'
#' @description A shiny Module.
#'
#' @param id,input,output,session Internal parameters for {shiny}.
#'
#' @noRd
#'
#' @importFrom shiny NS tagList
mod_box_shadow_ui <- function(id){
ns <- NS(id)
tagList(
numericInput(inputId = ns("x_offset"),
label = "X Offset",... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pl.3txt.R
\name{pl.3txt}
\alias{pl.3txt}
\title{Scatter plot with text overlay}
\usage{
pl.3txt(x,y,txt,title)
}
\arguments{
\item{x}{:a numeric vector}
\item{y}{:a numeric vector}
\item{txt}{:a vector used as labels}
\item{... | /man/pl.3txt.Rd | no_license | cran/PMmisc | R | false | true | 590 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pl.3txt.R
\name{pl.3txt}
\alias{pl.3txt}
\title{Scatter plot with text overlay}
\usage{
pl.3txt(x,y,txt,title)
}
\arguments{
\item{x}{:a numeric vector}
\item{y}{:a numeric vector}
\item{txt}{:a vector used as labels}
\item{... |
#' Lê metadados do resultado de baixar_cjsg_trf2
#'
#' @param arquivos Vetor de arquivos
#' @param diretorio Se arquivos for NULL, indicar diretório.
#'
#' @return Tibble com informações processuais
#' @export
#'
#' @examples
#' \dontrun{
#' ler_cjsg_trf2(diretorio = ".")
#' }
ler_cjsg_trf2 <- function(arquivos = NULL,... | /R/ler_cjsg_trf2.R | permissive | jjesusfilho/trf2 | R | false | false | 2,132 | r | #' Lê metadados do resultado de baixar_cjsg_trf2
#'
#' @param arquivos Vetor de arquivos
#' @param diretorio Se arquivos for NULL, indicar diretório.
#'
#' @return Tibble com informações processuais
#' @export
#'
#' @examples
#' \dontrun{
#' ler_cjsg_trf2(diretorio = ".")
#' }
ler_cjsg_trf2 <- function(arquivos = NULL,... |
#' Add transactions to a portfolio.
#'
#' When a trade or adjustment is made to the Portfolio, the addTxn function
#' calculates the value and average cost of the transaction, the change in
#' position, the resulting positions average cost, and any realized profit
#' or loss (net of fees) from the transaction. The... | /R/addTxn.R | no_license | marascio/blotter | R | false | false | 16,602 | r | #' Add transactions to a portfolio.
#'
#' When a trade or adjustment is made to the Portfolio, the addTxn function
#' calculates the value and average cost of the transaction, the change in
#' position, the resulting positions average cost, and any realized profit
#' or loss (net of fees) from the transaction. The... |
#------------------------------------------------------------------------------#
# calculating pleiotropy #
#------------------------------------------------------------------------------#
# The following function simulates the effect of all possible gene deletion... | /yeast7.6/without_constraint/R/yeast_without_constraint.R | no_license | deyazoubi/pleiotropy- | R | false | false | 2,175 | r |
#------------------------------------------------------------------------------#
# calculating pleiotropy #
#------------------------------------------------------------------------------#
# The following function simulates the effect of all possible gene deletion... |
## File Name: CDM_require_namespace.R
## File Version: 0.08
CDM_require_namespace <- function(pkg)
{
if ( ! requireNamespace( pkg, quietly=TRUE) ){
stop( paste0("Package '", pkg, "' is needed for applying this
function. Please install it." ), call.=FALSE)
}
}
| /R/CDM_require_namespace.R | no_license | alexanderrobitzsch/CDM | R | false | false | 289 | r | ## File Name: CDM_require_namespace.R
## File Version: 0.08
CDM_require_namespace <- function(pkg)
{
if ( ! requireNamespace( pkg, quietly=TRUE) ){
stop( paste0("Package '", pkg, "' is needed for applying this
function. Please install it." ), call.=FALSE)
}
}
|
% Generated by roxygen2 (4.0.1): do not edit by hand
\name{rotatedLabel}
\alias{rotatedLabel}
\title{Plot a rotated axis label}
\usage{
rotatedLabel(x0 = seq_along(labels), y0 = rep(par("usr")[3],
length(labels)), labels, pos = 1, cex = 1, srt = 45, ...)
}
\arguments{
\item{x0}{The x position}
\item{y0}{The y positi... | /man/rotatedLabel.Rd | no_license | fzhang988/mg14 | R | false | false | 613 | rd | % Generated by roxygen2 (4.0.1): do not edit by hand
\name{rotatedLabel}
\alias{rotatedLabel}
\title{Plot a rotated axis label}
\usage{
rotatedLabel(x0 = seq_along(labels), y0 = rep(par("usr")[3],
length(labels)), labels, pos = 1, cex = 1, srt = 45, ...)
}
\arguments{
\item{x0}{The x position}
\item{y0}{The y positi... |
library(data.table)
library(dplyr)
library(tidyr)
library(stringr)
library(caret)
library(makedummies)
library(text2vec)
library(magrittr)
library(textmineR)
library(Rtsne)
# Load Data ---------------------------------------------------------------
aisles <- fread("aisles.csv")
departments <- fread("departments.csv... | /notgood/bf_aisles_tsne_6xgboost_f1max.R | no_license | siero5335/Instacart-Market-Basket-Analysis_196 | R | false | false | 14,351 | r | library(data.table)
library(dplyr)
library(tidyr)
library(stringr)
library(caret)
library(makedummies)
library(text2vec)
library(magrittr)
library(textmineR)
library(Rtsne)
# Load Data ---------------------------------------------------------------
aisles <- fread("aisles.csv")
departments <- fread("departments.csv... |
% Generated by roxygen2 (4.0.2): do not edit by hand
\name{print.word_cor}
\alias{print.word_cor}
\title{Prints a word_cor object}
\usage{
\method{print}{word_cor}(x, digits = 3, ...)
}
\arguments{
\item{x}{The word_cor object}
\item{digits}{The number of digits to print}
\item{\ldots}{ignored}
}
\description{
Prints... | /man/print.word_cor.Rd | no_license | joffrevillanueva/qdap | R | false | false | 342 | rd | % Generated by roxygen2 (4.0.2): do not edit by hand
\name{print.word_cor}
\alias{print.word_cor}
\title{Prints a word_cor object}
\usage{
\method{print}{word_cor}(x, digits = 3, ...)
}
\arguments{
\item{x}{The word_cor object}
\item{digits}{The number of digits to print}
\item{\ldots}{ignored}
}
\description{
Prints... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/single.erl.R
\name{single.erl}
\alias{single.erl}
\title{ERL-adjusted p-values}
\usage{
single.erl(realvec, permat)
}
\arguments{
\item{realvec}{A vector of observed data.}
\item{permat}{A matrix of simulated/permuted data, the \code{nrow} o... | /man/single.erl.Rd | no_license | wtagr/pppvalue | R | false | true | 651 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/single.erl.R
\name{single.erl}
\alias{single.erl}
\title{ERL-adjusted p-values}
\usage{
single.erl(realvec, permat)
}
\arguments{
\item{realvec}{A vector of observed data.}
\item{permat}{A matrix of simulated/permuted data, the \code{nrow} o... |
##
# NOPASS TEST: The following bug is associated with JIRA PUB-874
# 'Discrepancy Reporting GLM Cross Validation Models in R'
# Testing R's glm model with cross validation on for Binomial and Gaussian distribution
##
setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source('../h2o-runit.R')
te... | /h2o-r/tests/testdir_jira/runit_NOPASS_pub_874_glm_cv_nonzero_reporting_large.R | permissive | jaadds/h2o-dev | R | false | false | 1,601 | r | ##
# NOPASS TEST: The following bug is associated with JIRA PUB-874
# 'Discrepancy Reporting GLM Cross Validation Models in R'
# Testing R's glm model with cross validation on for Binomial and Gaussian distribution
##
setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source('../h2o-runit.R')
te... |
#cd ~/Desktop/hw2-YuTaNCCU
#setwd("~/Desktop/hw2-YuTaNCCU")
#Rscript hw2_106356013.R --target male --inputs examples/method1.csv examples/method2.csv --output examples/output1.csv
#Rscript hw2_106356013.R --target male --inputs examples/method1.csv examples/method3.csv examples/method5.csv --output examples/output2.csv... | /2th_evaluation/hw2-YuTaNCCU-master/hw2_106356013.R | no_license | YuTaNCCU/2017_DataSciencePractice | R | false | false | 4,061 | r | #cd ~/Desktop/hw2-YuTaNCCU
#setwd("~/Desktop/hw2-YuTaNCCU")
#Rscript hw2_106356013.R --target male --inputs examples/method1.csv examples/method2.csv --output examples/output1.csv
#Rscript hw2_106356013.R --target male --inputs examples/method1.csv examples/method3.csv examples/method5.csv --output examples/output2.csv... |
#' This function compute the testing power for independence testing, based on the two
#' dimension simulations with rotation matrix.
#'
#' @param type is a number between 1 to 20,
#' @param n is the sample size,
#' @param d is the dimensionality that is an integer no smaller than 1.
#' @param noise specifies the amount... | /docs/mgc/tests/run_hd_sims.R | permissive | ssabrii/r-mgc | R | false | false | 2,280 | r | #' This function compute the testing power for independence testing, based on the two
#' dimension simulations with rotation matrix.
#'
#' @param type is a number between 1 to 20,
#' @param n is the sample size,
#' @param d is the dimensionality that is an integer no smaller than 1.
#' @param noise specifies the amount... |
#' Diagonal Quadratic Discriminant Analysis (DQDA)
#'
#' Given a set of training data, this function builds the Diagonal Quadratic
#' Discriminant Analysis (DQDA) classifier, which is often attributed to Dudoit
#' et al. (2002). The DQDA classifier belongs to the family of Naive Bayes
#' classifiers, where the distribu... | /sparsediscrim/R/dqda.r | no_license | ingted/R-Examples | R | false | false | 6,340 | r | #' Diagonal Quadratic Discriminant Analysis (DQDA)
#'
#' Given a set of training data, this function builds the Diagonal Quadratic
#' Discriminant Analysis (DQDA) classifier, which is often attributed to Dudoit
#' et al. (2002). The DQDA classifier belongs to the family of Naive Bayes
#' classifiers, where the distribu... |
context("survival-cch")
skip_if_not_installed("survival")
library(survival)
subcoh <- nwtco$in.subcohort
selccoh <- with(nwtco, rel == 1 | subcoh == 1)
ccoh.data <- nwtco[selccoh, ]
ccoh.data$subcohort <- subcoh[selccoh]
ccoh.data$histol <- factor(ccoh.data$histol, labels = c("FH", "UH"))
ccoh.data$stage <-... | /packrat/lib/x86_64-apple-darwin18.2.0/3.5.2/broom/tests/testthat/test-survival-cch.R | no_license | teyden/asthma-research | R | false | false | 823 | r | context("survival-cch")
skip_if_not_installed("survival")
library(survival)
subcoh <- nwtco$in.subcohort
selccoh <- with(nwtco, rel == 1 | subcoh == 1)
ccoh.data <- nwtco[selccoh, ]
ccoh.data$subcohort <- subcoh[selccoh]
ccoh.data$histol <- factor(ccoh.data$histol, labels = c("FH", "UH"))
ccoh.data$stage <-... |
source("sanity_check_lib.R")
# Optim func
get_optim_func <- function(rtn, A = NULL) {
out <- function(par) {
rtn <- rtn
phi <- par[1]
sig_eta <- par[2]
ups <- par[3]
sigma0 <- sig_eta^2 / (1 - phi^2)
mu0 <- ups / (1 - phi)
# We need special case for missing A
if(is.null(A)) {
a <- array(1, di... | /stat_sanity_check_sv.R | no_license | mvind/bachelor-missingdata | R | false | false | 5,575 | r | source("sanity_check_lib.R")
# Optim func
get_optim_func <- function(rtn, A = NULL) {
out <- function(par) {
rtn <- rtn
phi <- par[1]
sig_eta <- par[2]
ups <- par[3]
sigma0 <- sig_eta^2 / (1 - phi^2)
mu0 <- ups / (1 - phi)
# We need special case for missing A
if(is.null(A)) {
a <- array(1, di... |
#' create a list of plots cleanly with extra pdf functionality
#' @param .ggplot_list list of ggplot plots
#' @param .start_page_number pdf-only starting page number for plots
#' @details
#' Especially for pdf, this can allow the generation of clean pdf pages
#' with only plots, no code, warnings, etc. for all pages r... | /R/print_plots.R | no_license | smouksassi/PKPDmisc | R | false | false | 1,877 | r | #' create a list of plots cleanly with extra pdf functionality
#' @param .ggplot_list list of ggplot plots
#' @param .start_page_number pdf-only starting page number for plots
#' @details
#' Especially for pdf, this can allow the generation of clean pdf pages
#' with only plots, no code, warnings, etc. for all pages r... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/RcppExports.R
\name{chol_solve}
\alias{chol_solve}
\title{Solve function with Cholesky decomposition.}
\usage{
chol_solve(M, V)
}
\arguments{
\item{M}{A (M x M) symmetric positive definite matrix.}
\item{V}{A (M x 1) vector.}
}
... | /man/chol_solve.Rd | no_license | cran/gigg | R | false | true | 415 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/RcppExports.R
\name{chol_solve}
\alias{chol_solve}
\title{Solve function with Cholesky decomposition.}
\usage{
chol_solve(M, V)
}
\arguments{
\item{M}{A (M x M) symmetric positive definite matrix.}
\item{V}{A (M x 1) vector.}
}
... |
library(kpodclustr)
### Name: initialImpute
### Title: Function for initial imputation for k-means
### Aliases: initialImpute
### ** Examples
p <- 2
n <- 100
k <- 3
sigma <- 0.25
missing <- 0.05
Data <- makeData(p,n,k,sigma,missing)
X <- Data$Missing
X_copy <- initialImpute(X)
| /data/genthat_extracted_code/kpodclustr/examples/initialImpute.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 285 | r | library(kpodclustr)
### Name: initialImpute
### Title: Function for initial imputation for k-means
### Aliases: initialImpute
### ** Examples
p <- 2
n <- 100
k <- 3
sigma <- 0.25
missing <- 0.05
Data <- makeData(p,n,k,sigma,missing)
X <- Data$Missing
X_copy <- initialImpute(X)
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/insert_text.R
\name{insert_text}
\alias{insert_text}
\title{Insert Text Function}
\usage{
insert_text(inputId, text)
}
\arguments{
\item{inputId}{The input slot that will be used to access the value.}
\item{text}{Text that yuu want to displa... | /man/insert_text.Rd | no_license | uk-gov-mirror/moj-analytical-services.shinyGovstyle | R | false | true | 1,076 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/insert_text.R
\name{insert_text}
\alias{insert_text}
\title{Insert Text Function}
\usage{
insert_text(inputId, text)
}
\arguments{
\item{inputId}{The input slot that will be used to access the value.}
\item{text}{Text that yuu want to displa... |
#Factores
x <- factor(c("si","no","si","si","no","si","no"),levels = c("si", "no"))
x
table(x)
x<-factor(c("azul", "azul", "rojo", "azul", "amarillo"))
x
x<-c(1,2,NaN,10,3)
is.na(x)
is.nan(x)
#Data Frames
x<-data.frame( Erick = 1:4 , Lori = c(T, T, F, F))
row.names(x)<- c("primero", "segundo", "tercero", "cuarto")
x
nr... | /Clase 31:08:15.R | no_license | CesarAAG/Programacion_Actuarial_III_OT16 | R | false | false | 1,013 | r | #Factores
x <- factor(c("si","no","si","si","no","si","no"),levels = c("si", "no"))
x
table(x)
x<-factor(c("azul", "azul", "rojo", "azul", "amarillo"))
x
x<-c(1,2,NaN,10,3)
is.na(x)
is.nan(x)
#Data Frames
x<-data.frame( Erick = 1:4 , Lori = c(T, T, F, F))
row.names(x)<- c("primero", "segundo", "tercero", "cuarto")
x
nr... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/selectBiopax.R
\name{getReferencedIDs}
\alias{getReferencedIDs}
\title{This function returns a vector of ids of all instances referenced by the specified instance.}
\usage{
getReferencedIDs(biopax, id, recursive = TRUE, onlyFollowProperties =... | /man/getReferencedIDs.Rd | no_license | frankkramer-lab/rBiopaxParser | R | false | true | 1,225 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/selectBiopax.R
\name{getReferencedIDs}
\alias{getReferencedIDs}
\title{This function returns a vector of ids of all instances referenced by the specified instance.}
\usage{
getReferencedIDs(biopax, id, recursive = TRUE, onlyFollowProperties =... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/case_when.R
\name{case_when}
\alias{case_when}
\title{A general vectorised if}
\usage{
case_when(...)
}
\arguments{
\item{...}{A sequence of two-sided formulas. The left hand side (LHS)
determines which values match this case. The right hand ... | /man/case_when.Rd | permissive | rramadeu/dplyr | R | false | true | 1,891 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/case_when.R
\name{case_when}
\alias{case_when}
\title{A general vectorised if}
\usage{
case_when(...)
}
\arguments{
\item{...}{A sequence of two-sided formulas. The left hand side (LHS)
determines which values match this case. The right hand ... |
# Clean up the working environment
rm(list = ls())
# Verify working directory, should be ~/Documents/Analyses/lastname_first
getwd()
### Install and load packages ####
# The following commands will install these packages if they are not already installed,
# and then load them!
if(!require(Rmisc)){install.packages("R... | /assignments/Exam1.R | no_license | BIO375/kim-harry | R | false | false | 2,006 | r | # Clean up the working environment
rm(list = ls())
# Verify working directory, should be ~/Documents/Analyses/lastname_first
getwd()
### Install and load packages ####
# The following commands will install these packages if they are not already installed,
# and then load them!
if(!require(Rmisc)){install.packages("R... |
\name{redfitMinls}
\alias{redfitMinls}
\title{Minimization - least square
}
\description{
The \code{\link{redfitMinls}} function is used by the \code{\link{redfitTauest}}
function to calculate the persistence for unevenly spaced climate time
series under study. \code{\link{redfitTauest}} is included in the
\emph{red... | /man/redfitMinls.Rd | no_license | cran/BINCOR | R | false | false | 2,290 | rd | \name{redfitMinls}
\alias{redfitMinls}
\title{Minimization - least square
}
\description{
The \code{\link{redfitMinls}} function is used by the \code{\link{redfitTauest}}
function to calculate the persistence for unevenly spaced climate time
series under study. \code{\link{redfitTauest}} is included in the
\emph{red... |
PID_DO_reg {
*iCATCache = bool("true");
EUDATCreatePID(*parent_pid, *source, *ror, *iCATCache, *newPID);
writeLine("stdout","PID: *newPID");
}
INPUT *source={{ irods_file }},*parent_pid="None",*ror="None"
OUTPUT ruleExecOut
| /irodsgraph/templates/getpid.r | permissive | pdonorio/irods2graph | R | false | false | 231 | r |
PID_DO_reg {
*iCATCache = bool("true");
EUDATCreatePID(*parent_pid, *source, *ror, *iCATCache, *newPID);
writeLine("stdout","PID: *newPID");
}
INPUT *source={{ irods_file }},*parent_pid="None",*ror="None"
OUTPUT ruleExecOut
|
library(glycanr)
### Name: glyco.outliers
### Title: Discover outliers in glycan data
### Aliases: glyco.outliers
### ** Examples
data(mpiu)
glyco.outliers(mpiu)
# outliers per plate
glyco.outliers(mpiu, group="Plate")
| /data/genthat_extracted_code/glycanr/examples/glyco.outliers.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 228 | r | library(glycanr)
### Name: glyco.outliers
### Title: Discover outliers in glycan data
### Aliases: glyco.outliers
### ** Examples
data(mpiu)
glyco.outliers(mpiu)
# outliers per plate
glyco.outliers(mpiu, group="Plate")
|
#' Create a symbol or list of symbols
#'
#' These functions take strings as input and turn them into symbols.
#' Contrarily to `as.name()`, they convert the strings to the native
#' encoding beforehand. This is necessary because symbols remove
#' silently the encoding mark of strings (see [set_str_encoding()]).
#'
#' @... | /R/expr-sym.R | no_license | jan-glx/rlang | R | false | false | 2,755 | r | #' Create a symbol or list of symbols
#'
#' These functions take strings as input and turn them into symbols.
#' Contrarily to `as.name()`, they convert the strings to the native
#' encoding beforehand. This is necessary because symbols remove
#' silently the encoding mark of strings (see [set_str_encoding()]).
#'
#' @... |
#' @section a_Positions:
#'
#' All \code{a_position_*} functions (like \code{a_position_dodge}) return a
#' \code{a_Position*} object (like \code{a_PositionDodge}). The \code{a_Position*}
#' object is responsible for adjusting the position of overlapping geoms.
#'
#' The way that the \code{a_position_*} functions... | /R/position-.r | no_license | vivekktiwari/animint2 | R | false | false | 3,563 | r | #' @section a_Positions:
#'
#' All \code{a_position_*} functions (like \code{a_position_dodge}) return a
#' \code{a_Position*} object (like \code{a_PositionDodge}). The \code{a_Position*}
#' object is responsible for adjusting the position of overlapping geoms.
#'
#' The way that the \code{a_position_*} functions... |
## Together, the following functions output the inverse
## of an invertable matrix. If the inverse matrix has
## already been computed, then these functions will avoid
## recalulating the inverse.
## makeCacheMatrix makes a list of four functions that
## either "set" or "get" the original matrix or the
## inverse... | /cachematrix.R | no_license | SLaw7/ProgrammingAssignment2 | R | false | false | 1,033 | r | ## Together, the following functions output the inverse
## of an invertable matrix. If the inverse matrix has
## already been computed, then these functions will avoid
## recalulating the inverse.
## makeCacheMatrix makes a list of four functions that
## either "set" or "get" the original matrix or the
## inverse... |
#' Basic Kling Model Function
#'
#' This function computes the kling regressions for dividing the effect size of two different years of treatment. Your block variable must be factor,
#' and your dataset must omit records with a missing outcome or a missing treatment assignment.
#' @param number_to_crop should equal the... | /R/kling_as_function.R | no_license | skirmer/skpack | R | false | false | 47,282 | r | #' Basic Kling Model Function
#'
#' This function computes the kling regressions for dividing the effect size of two different years of treatment. Your block variable must be factor,
#' and your dataset must omit records with a missing outcome or a missing treatment assignment.
#' @param number_to_crop should equal the... |
# Project euler poker hand
# first save as matrix
# highest card
highest_card <- function(v){
score <- 0
one <- max(v)
v[which.max(v)]<- 0
two <- max(v)
v[which.max(v)]<- 0
three <- max(v)
v[which.max(v)]<- 0
four <- max(v)
v[which.max(v)]<- 0
five <- max(v)
score <- one*10 + tw... | /poker_hand_cal_hand.R | no_license | mpommer/Poker-Bot | R | false | false | 4,499 | r | # Project euler poker hand
# first save as matrix
# highest card
highest_card <- function(v){
score <- 0
one <- max(v)
v[which.max(v)]<- 0
two <- max(v)
v[which.max(v)]<- 0
three <- max(v)
v[which.max(v)]<- 0
four <- max(v)
v[which.max(v)]<- 0
five <- max(v)
score <- one*10 + tw... |
#' Get tweets to users
#'
#' This function collects tweets between specified date ranges that are
#' in reply to the specified user(s). Tweet-level data is stored in a data/ path as a series of JSONs beginning
#' "data_"; User-level data is stored as a series of JSONs beginning "users_". If a filename is supplied,
#... | /R/get_to_tweetsv2.R | permissive | carlosantagiustina/academictwitteR | R | false | false | 1,792 | r | #' Get tweets to users
#'
#' This function collects tweets between specified date ranges that are
#' in reply to the specified user(s). Tweet-level data is stored in a data/ path as a series of JSONs beginning
#' "data_"; User-level data is stored as a series of JSONs beginning "users_". If a filename is supplied,
#... |
#Exploratory Data Analysis: Assignment 2 - plot 5
#downloading and extracting data
url<-"https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2FNEI_data.zip"
if (!file.exists("NEI")){dir.create("NEI")}
download.file(url, destfile=file.path("NEI","data.zip"), mode="wb")
unzip(zipfile =file.path("NEI","data.zip"), exdir ... | /4. Exploratory Data Analysis/Assignments/assignment 2/plot5.R | no_license | yohannbos/DataScienceSpecialization | R | false | false | 1,074 | r | #Exploratory Data Analysis: Assignment 2 - plot 5
#downloading and extracting data
url<-"https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2FNEI_data.zip"
if (!file.exists("NEI")){dir.create("NEI")}
download.file(url, destfile=file.path("NEI","data.zip"), mode="wb")
unzip(zipfile =file.path("NEI","data.zip"), exdir ... |
#clusterProfiler (version 3.0.5)
options(stringsAsFactors = FALSE)
#Instalando clusterProfiler
source("https://bioconductor.org/biocLite.R")
biocLite("clusterProfiler")
require(DOSE)
require(clusterProfiler)
#Carregando anotações com COG
protein.id_cog <- read.delim(
file = "/mnt/work1/agrobacterium/jhonatas/an... | /scripts_R/enricher_script.R | no_license | rodrigoguarischi/agrobacterium | R | false | false | 3,105 | r | #clusterProfiler (version 3.0.5)
options(stringsAsFactors = FALSE)
#Instalando clusterProfiler
source("https://bioconductor.org/biocLite.R")
biocLite("clusterProfiler")
require(DOSE)
require(clusterProfiler)
#Carregando anotações com COG
protein.id_cog <- read.delim(
file = "/mnt/work1/agrobacterium/jhonatas/an... |
## This function creates a special "matrix" object that can cache its inverse.
makeCacheMatrix <- function(x = matrix()) {
m <- NULL
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
setinverse <- function(inverse) m <<- inverse
getinverse <- function() m
list(set = set, ge... | /cachematrix.R | no_license | goraperas/coursera | R | false | false | 701 | r | ## This function creates a special "matrix" object that can cache its inverse.
makeCacheMatrix <- function(x = matrix()) {
m <- NULL
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
setinverse <- function(inverse) m <<- inverse
getinverse <- function() m
list(set = set, ge... |
install.packages("quantmod")
install.packages("purrr")
install.packages("tidyverse")
install.packages("timetk")
install.packages("chron")
install.packages("tidyquant")
install.packages("tibbletime")
install.packages("highcharter")
install.packages("shiny")
install.packages("flexdashboard")
install.packages("lattice")
i... | /packages.R | permissive | anupamshandilya92/MSDS-RiskAnalytics | R | false | false | 584 | r | install.packages("quantmod")
install.packages("purrr")
install.packages("tidyverse")
install.packages("timetk")
install.packages("chron")
install.packages("tidyquant")
install.packages("tibbletime")
install.packages("highcharter")
install.packages("shiny")
install.packages("flexdashboard")
install.packages("lattice")
i... |
#' getNodes function
#'
#' getNodes function
#' @param x likelihood
#' @param k parameters
#' @param n sample size
#' @keywords
#' @return aicc
#' @export
#' @examples
#' getNodes()
getNodes <- function(ttr) ttr$edge[which(ttr$edge[,2] > Ntip(ttr)), 2]
| /R/getNodes.R | no_license | PuttickMacroevolution/cladeMode | R | false | false | 256 | r | #' getNodes function
#'
#' getNodes function
#' @param x likelihood
#' @param k parameters
#' @param n sample size
#' @keywords
#' @return aicc
#' @export
#' @examples
#' getNodes()
getNodes <- function(ttr) ttr$edge[which(ttr$edge[,2] > Ntip(ttr)), 2]
|
rm(list = ls())
#title: "Deterministic compartmental model for 2019-nCov 2.0 "
#author: "Antoinette Ludwig, Erin Rees'
#date: "March, 16th, 2020"
#################################################################################################
### Resources:
#http://sherrytowers.com/2015/10/01/difference-between-m... | /covid-19_SEIR.r | no_license | hswerdfe/seir_model | R | false | false | 20,896 | r | rm(list = ls())
#title: "Deterministic compartmental model for 2019-nCov 2.0 "
#author: "Antoinette Ludwig, Erin Rees'
#date: "March, 16th, 2020"
#################################################################################################
### Resources:
#http://sherrytowers.com/2015/10/01/difference-between-m... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/signals.R
\name{sigThreshold}
\alias{sigThreshold}
\title{generate a threshold signal}
\usage{
sigThreshold(
label,
data = mktdata,
column,
threshold = 0,
relationship = c("gt", "lt", "eq", "gte", "lte"),
cross = FALSE
)
}
\argume... | /man/sigThreshold.Rd | no_license | braverock/quantstrat | R | false | true | 928 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/signals.R
\name{sigThreshold}
\alias{sigThreshold}
\title{generate a threshold signal}
\usage{
sigThreshold(
label,
data = mktdata,
column,
threshold = 0,
relationship = c("gt", "lt", "eq", "gte", "lte"),
cross = FALSE
)
}
\argume... |
Mort1Dsmooth_checker <-
function(x, y, offset, w,
overdispersion,
ndx, deg, pord,
lambda, df, method,
coefstart,
control){
## Input:
## x: abcissae of... | /A_github/sources/authors/1161/MortalitySmooth/Mort1Dsmooth_checker.R | no_license | Irbis3/crantasticScrapper | R | false | false | 5,325 | r | Mort1Dsmooth_checker <-
function(x, y, offset, w,
overdispersion,
ndx, deg, pord,
lambda, df, method,
coefstart,
control){
## Input:
## x: abcissae of... |
# HW5: Tidying Data
#'
# 1. Load the `tidyr`, `readr` and `dplyr` package and use its function `read_csv()`
# to read the dataset `warpbreaks.csv` (located in directory `data/`).
# Store the corresponding dataframe into a variable `warpbreaks`.
# For the following exercises, use the pipe operator `%>%` as much... | /week5 program/tidyr3.R | no_license | zhangzhiyuan233/GR5206-IntroToDataScience | R | false | false | 3,682 | r | # HW5: Tidying Data
#'
# 1. Load the `tidyr`, `readr` and `dplyr` package and use its function `read_csv()`
# to read the dataset `warpbreaks.csv` (located in directory `data/`).
# Store the corresponding dataframe into a variable `warpbreaks`.
# For the following exercises, use the pipe operator `%>%` as much... |
\docType{methods}
\name{combineByKey}
\alias{combineByKey}
\alias{combineByKey,RDD,ANY,ANY,ANY,integer-method}
\title{Combine values by key}
\usage{
combineByKey(rdd, createCombiner, mergeValue, mergeCombiners, numPartitions)
\S4method{combineByKey}{RDD,ANY,ANY,ANY,integer}(rdd, createCombiner,
mergeValue, mergeComb... | /pkg/man/combineByKey.Rd | permissive | butterluo/SparkR-pkg | R | false | false | 1,706 | rd | \docType{methods}
\name{combineByKey}
\alias{combineByKey}
\alias{combineByKey,RDD,ANY,ANY,ANY,integer-method}
\title{Combine values by key}
\usage{
combineByKey(rdd, createCombiner, mergeValue, mergeCombiners, numPartitions)
\S4method{combineByKey}{RDD,ANY,ANY,ANY,integer}(rdd, createCombiner,
mergeValue, mergeComb... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{ridl_container_country}
\alias{ridl_container_country}
\title{A dictionnary with the labels and values for container country}
\usage{
ridl_container_country()
}
\value{
a data.frame with the keywords labels and values
}
\descrip... | /man/ridl_container_country.Rd | permissive | UNHCRmdl/ridl-1 | R | false | true | 391 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{ridl_container_country}
\alias{ridl_container_country}
\title{A dictionnary with the labels and values for container country}
\usage{
ridl_container_country()
}
\value{
a data.frame with the keywords labels and values
}
\descrip... |
#' @title Edge Switch
#'
#' @description Switches the edges so that tree layout can be calcuated
#' @param g graph object
#' @export
#' @return graph object with edges switched
switchEdge<-function(g){
e<-get.data.frame(g,what="edges")
neworder<-1:length(e)
neworder[1:2]<-c(2,1)
e<-e[neworder]
na... | /R/EdgeSwtich_function.R | no_license | anhnguyendepocen/GVTr | R | false | false | 449 | r | #' @title Edge Switch
#'
#' @description Switches the edges so that tree layout can be calcuated
#' @param g graph object
#' @export
#' @return graph object with edges switched
switchEdge<-function(g){
e<-get.data.frame(g,what="edges")
neworder<-1:length(e)
neworder[1:2]<-c(2,1)
e<-e[neworder]
na... |
ls#
# This is the server logic 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)
# Load Data
covid <- read.csv("total_cases.csv")
# Define a server for the Shiny ap... | /server.R | no_license | little88125/ShinyApp-Covid19 | R | false | false | 632 | r | ls#
# This is the server logic 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)
# Load Data
covid <- read.csv("total_cases.csv")
# Define a server for the Shiny ap... |
setwd('D:/samsung_ai/test/')
dat <- read.csv('dataSet.csv')
dat5 <- dplyr::select(dat, 사상자수, 중상자수, 부상신고자수)
ind <- sample(1:2, nrow(dat5), replace = TRUE, prob = c(0.7, 0.3))
train <- dat5[ind==1,]
test <- dat5[ind==2,]
sv <- svm(사상자수~., data=train, kernel = "linear")
sv <- svm(사상자수~., data=train, kernel = "radial")
... | /eda & simple modeling/env_04.R | no_license | hyeonho1028/Samsung-Data-Challenge | R | false | false | 810 | r | setwd('D:/samsung_ai/test/')
dat <- read.csv('dataSet.csv')
dat5 <- dplyr::select(dat, 사상자수, 중상자수, 부상신고자수)
ind <- sample(1:2, nrow(dat5), replace = TRUE, prob = c(0.7, 0.3))
train <- dat5[ind==1,]
test <- dat5[ind==2,]
sv <- svm(사상자수~., data=train, kernel = "linear")
sv <- svm(사상자수~., data=train, kernel = "radial")
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/reshape.R
\name{stretch}
\alias{stretch}
\title{Stretch correlation data frame into long format.}
\usage{
stretch(x, na.rm = FALSE, remove.dups = FALSE)
}
\arguments{
\item{x}{cor_df. See \code{\link{correlate}}.}
\item{na.rm}{Boolean. Wheth... | /man/stretch.Rd | no_license | tashkeev-alex/corrr | R | false | true | 1,163 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/reshape.R
\name{stretch}
\alias{stretch}
\title{Stretch correlation data frame into long format.}
\usage{
stretch(x, na.rm = FALSE, remove.dups = FALSE)
}
\arguments{
\item{x}{cor_df. See \code{\link{correlate}}.}
\item{na.rm}{Boolean. Wheth... |
library(sbpiper)
### Name: plot_sampled_2d_ple
### Title: Plot 2D profile likelihood estimations.
### Aliases: plot_sampled_2d_ple
### ** Examples
dir.create(file.path("pe_plots"))
data(insulin_receptor_all_fits)
colnames(insulin_receptor_all_fits)[1] <- "ObjVal"
insulin_receptor_all_fits[,2:4] <- log10(insulin_rec... | /data/genthat_extracted_code/sbpiper/examples/plot_sampled_2d_ple.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 563 | r | library(sbpiper)
### Name: plot_sampled_2d_ple
### Title: Plot 2D profile likelihood estimations.
### Aliases: plot_sampled_2d_ple
### ** Examples
dir.create(file.path("pe_plots"))
data(insulin_receptor_all_fits)
colnames(insulin_receptor_all_fits)[1] <- "ObjVal"
insulin_receptor_all_fits[,2:4] <- log10(insulin_rec... |
#SMA from Time series Douglas Page23
library(readr)
library(magrittr)
library(dplyr)
library(ggplot2)
library(TTR)
NasaGiss <- read_csv("NasaGiss.csv")
#blue
NasaGiss <- NasaGiss %>% mutate(Avg = (Jan+Feb+Mar+Apr+May+Jun+Jul+Aug+Sep+Oct+Nov+Dec)/12.0) %>% select(Year,Avg)
#black
NasaGiss$SMA <- SMA(NasaGiss$Avg,5) #TTR... | /SMA/SMA.R | no_license | Bright130/TimeSeries | R | false | false | 825 | r | #SMA from Time series Douglas Page23
library(readr)
library(magrittr)
library(dplyr)
library(ggplot2)
library(TTR)
NasaGiss <- read_csv("NasaGiss.csv")
#blue
NasaGiss <- NasaGiss %>% mutate(Avg = (Jan+Feb+Mar+Apr+May+Jun+Jul+Aug+Sep+Oct+Nov+Dec)/12.0) %>% select(Year,Avg)
#black
NasaGiss$SMA <- SMA(NasaGiss$Avg,5) #TTR... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/compute_functions.R
\name{targetTcpProxies.get}
\alias{targetTcpProxies.get}
\title{Returns the specified TargetTcpProxy resource. Get a list of available target TCP proxies by making a list() request.}
\usage{
targetTcpProxies.get(project, t... | /googlecomputealpha.auto/man/targetTcpProxies.get.Rd | permissive | GVersteeg/autoGoogleAPI | R | false | true | 1,182 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/compute_functions.R
\name{targetTcpProxies.get}
\alias{targetTcpProxies.get}
\title{Returns the specified TargetTcpProxy resource. Get a list of available target TCP proxies by making a list() request.}
\usage{
targetTcpProxies.get(project, t... |
# offpsring gtypes
gtype key:
0 = 0,0 ; homozygous non-resistant
1 = 1,0 ; heterozyogous resistant
2 = 1,1 ; homozygous resistant
mating = 0 x 0
offspring = 0
mating = 2 x 2
offspring = 2
mating = 1 x 1
offspring =
1,1
1,0
0,1
0,0 = (.25 x 0, 0.5 x 1, 0.25 x 2)
mating 0 x 2
offspring =
1,0
1,0
1,0
1,0 = 1
mating ... | /lamprey4.3/source/Reference/GenotypeCrossProbabilities.R | no_license | ChristieLab/Lamprey-Model | R | false | false | 441 | r | # offpsring gtypes
gtype key:
0 = 0,0 ; homozygous non-resistant
1 = 1,0 ; heterozyogous resistant
2 = 1,1 ; homozygous resistant
mating = 0 x 0
offspring = 0
mating = 2 x 2
offspring = 2
mating = 1 x 1
offspring =
1,1
1,0
0,1
0,0 = (.25 x 0, 0.5 x 1, 0.25 x 2)
mating 0 x 2
offspring =
1,0
1,0
1,0
1,0 = 1
mating ... |
library(RPostgreSQL)
con <- dbConnect("PostgreSQL", user = "nathan", password="p4rk3r", db="biomass_pt")
cost <- c(0,150)
biomass <- c(0,28)
pdf("CA SC.pdf")
grab2 <- dbSendQuery(con, "select sum, cost from CA_all_SC where cost <=150")
A <- fetch(grab2)
dbClearResult(grab2)
plot(A, type="l", col... | /make-db/results/r/CA_all_SC.r | no_license | qjhart/wga-biorefinery-study | R | false | false | 600 | r | library(RPostgreSQL)
con <- dbConnect("PostgreSQL", user = "nathan", password="p4rk3r", db="biomass_pt")
cost <- c(0,150)
biomass <- c(0,28)
pdf("CA SC.pdf")
grab2 <- dbSendQuery(con, "select sum, cost from CA_all_SC where cost <=150")
A <- fetch(grab2)
dbClearResult(grab2)
plot(A, type="l", col... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{hitters}
\alias{hitters}
\title{Baseball hitters career and 1986 season total statistics}
\format{
A \emph{263} by \emph{16} matrix. The variables are centered
to zero mean and standardized to unit variance.
\descr... | /man/hitters.Rd | permissive | merolagio/LSSPCA | R | false | true | 1,254 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{hitters}
\alias{hitters}
\title{Baseball hitters career and 1986 season total statistics}
\format{
A \emph{263} by \emph{16} matrix. The variables are centered
to zero mean and standardized to unit variance.
\descr... |
library(sampling)
library(dplyr)
load("data/muestraTP2.RData")
load("parteA.RData")
# Compruebo que FTedad1 y Oedad1 son siempre iguales a cero
all(muestraTP2$FTedad1 == 0)
all(muestraTP2$Oedad1 == 0)
# Agrego variables extras necesarias para la estimacion
muestraTP2$SaludTot <- muestraTP2$SaludF + muestraTP2$SaludM... | /tp2B.R | no_license | capitantoto/tp2-muestreo | R | false | false | 1,013 | r | library(sampling)
library(dplyr)
load("data/muestraTP2.RData")
load("parteA.RData")
# Compruebo que FTedad1 y Oedad1 son siempre iguales a cero
all(muestraTP2$FTedad1 == 0)
all(muestraTP2$Oedad1 == 0)
# Agrego variables extras necesarias para la estimacion
muestraTP2$SaludTot <- muestraTP2$SaludF + muestraTP2$SaludM... |
##check the file names under zip file
unzip("project01.zip", list = T)
#read txt data
df <- read.table(unz("project01.zip","household_power_consumption.txt"), na.strings = "?", quote = "", header = T, sep = ";")
#subset data from the dates 2007-02-01 and 2007-02-02
library(dplyr)
library(lubridate)
df_subset... | /plot4.R | no_license | xuan2144/ExData_Plotting1 | R | false | false | 1,860 | r | ##check the file names under zip file
unzip("project01.zip", list = T)
#read txt data
df <- read.table(unz("project01.zip","household_power_consumption.txt"), na.strings = "?", quote = "", header = T, sep = ";")
#subset data from the dates 2007-02-01 and 2007-02-02
library(dplyr)
library(lubridate)
df_subset... |
\name{WSDLMethod-class}
\docType{class}
\alias{WSDLMethod-class}
\title{Description of a SOAP method}
\description{
This class is used to describe the elements of a SOAP method
as described in a Web Service Description Language (WSDL) file.
}
\section{Objects from the Class}{
Objects can be created by calls of the fo... | /man/WSDLMethod-class.Rd | no_license | sckott/SSOAP | R | false | false | 2,434 | rd | \name{WSDLMethod-class}
\docType{class}
\alias{WSDLMethod-class}
\title{Description of a SOAP method}
\description{
This class is used to describe the elements of a SOAP method
as described in a Web Service Description Language (WSDL) file.
}
\section{Objects from the Class}{
Objects can be created by calls of the fo... |
###
#Author: Patrick Glettig, Nico Wohlgemuth
#Date: 24.02.2018
#Description: This Script imports the exchange Rate data and prepares the data for analysis.
###
#get libraries
library(reshape2)
library(ggplot2)
#Initialize Parameters
pop <- 5000
n_0 <- 5
beta <- 20
gamma <- 1
s <- rep(0, pop)
#Infect a random sam... | /RScript First exercise.R | no_license | JustierNo1/SISSIRModel | R | false | false | 2,283 | r | ###
#Author: Patrick Glettig, Nico Wohlgemuth
#Date: 24.02.2018
#Description: This Script imports the exchange Rate data and prepares the data for analysis.
###
#get libraries
library(reshape2)
library(ggplot2)
#Initialize Parameters
pop <- 5000
n_0 <- 5
beta <- 20
gamma <- 1
s <- rep(0, pop)
#Infect a random sam... |
# alpha is parameter defining prior
# X is data. Observations from each arm are in a single column
# Need a measure equivalent to regret since sampling distribution is not specified
gaussian_bandit <- function(alpha,X,t,k){
# initializing n since prior is improper
n <- max( c(2,2-ceiling(2*alpha)))
# initial rewards... | /gaussian functions/gaussian bandit for data.R | no_license | cma43/Bayes-Project | R | false | false | 1,036 | r | # alpha is parameter defining prior
# X is data. Observations from each arm are in a single column
# Need a measure equivalent to regret since sampling distribution is not specified
gaussian_bandit <- function(alpha,X,t,k){
# initializing n since prior is improper
n <- max( c(2,2-ceiling(2*alpha)))
# initial rewards... |
#--------------------------------#
### Chapter 3: Basic Graphics ####
#--------------------------------#
#remove all objects from the environment
rm(list = ls())
#Loading datasets
#Stata-dataset
#install required package
if(!require(haven)) install.package... | /Scripts/3.3_Scatterplots.r | no_license | SimonRess/W-Introduction-to-R | R | false | false | 4,343 | r | #--------------------------------#
### Chapter 3: Basic Graphics ####
#--------------------------------#
#remove all objects from the environment
rm(list = ls())
#Loading datasets
#Stata-dataset
#install required package
if(!require(haven)) install.package... |
%
% Auto-generated file, do not modify.
% Instead, copy this file to the man/ folder, remove this warning, and edit freely.
% Use Git to identify changes in this file which suggest where to change your edited copy.
%
\name{synDownloadTableColumns}
\alias{synDownloadTableColumns}
\docType{methods}
\title{
synDownload... | /auto-man/synDownloadTableColumns.Rd | permissive | karawoo/synapser | R | false | false | 1,535 | rd | %
% Auto-generated file, do not modify.
% Instead, copy this file to the man/ folder, remove this warning, and edit freely.
% Use Git to identify changes in this file which suggest where to change your edited copy.
%
\name{synDownloadTableColumns}
\alias{synDownloadTableColumns}
\docType{methods}
\title{
synDownload... |
rm(list=ls())
########################
### Inference via ML ###
########################
library(gmm)
library(ReIns)
library(parallel)
library(methods)
source("Raux.R")
source("Distributions.R");source("auxillary.R");source("function_inference.R")
data<-read.csv("CYA_newdata.txt")$Ultimate
x<-tail(data,200)
#x<-ReIns... | /EP_application.R | no_license | atwgao/EGP | R | false | false | 974 | r | rm(list=ls())
########################
### Inference via ML ###
########################
library(gmm)
library(ReIns)
library(parallel)
library(methods)
source("Raux.R")
source("Distributions.R");source("auxillary.R");source("function_inference.R")
data<-read.csv("CYA_newdata.txt")$Ultimate
x<-tail(data,200)
#x<-ReIns... |
# Roxygen documentation
#' Collects a URL and stores it locally using file name. Websites are printed into PDF, URLS to files are downloaded.
#'
#' @return The complete file name of the collected url (incl. file format).
#' @references www.globaltradealert.org
#' @author GTA
# Function infos and parameters --------... | /R/gta collect url.R | no_license | global-trade-alert/gtalibrary | R | false | false | 1,753 | r | # Roxygen documentation
#' Collects a URL and stores it locally using file name. Websites are printed into PDF, URLS to files are downloaded.
#'
#' @return The complete file name of the collected url (incl. file format).
#' @references www.globaltradealert.org
#' @author GTA
# Function infos and parameters --------... |
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