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 |
|---|---|---|---|---|---|---|---|---|---|
`km` <-
function(formula = ~1, design, response, covtype = "matern5_2",
coef.trend = NULL, coef.cov = NULL, coef.var = NULL,
nugget = NULL, nugget.estim = FALSE, noise.var = NULL,
estim.method = "MLE", penalty = NULL,
optim.method = "BFGS", lower = NULL, upper = NULL,
pa... | /DiceKriging/R/km.R | no_license | ingted/R-Examples | R | false | false | 7,463 | r | `km` <-
function(formula = ~1, design, response, covtype = "matern5_2",
coef.trend = NULL, coef.cov = NULL, coef.var = NULL,
nugget = NULL, nugget.estim = FALSE, noise.var = NULL,
estim.method = "MLE", penalty = NULL,
optim.method = "BFGS", lower = NULL, upper = NULL,
pa... |
local_disable_cache()
describe("Compiling against theme", {
# Example CSS that includes one variable, one function call, one mixin
bs4_css <- ".foo { background-color: $primary; color: color-yiq($primary); width: 120px; height: 120px; }"
resolved_css <- ".foo { background-color: #007bff; color: #fff; width: 120p... | /tests/testthat/test-bs4-deps.R | permissive | Andreas-Lafferte/bslib | R | false | false | 1,161 | r | local_disable_cache()
describe("Compiling against theme", {
# Example CSS that includes one variable, one function call, one mixin
bs4_css <- ".foo { background-color: $primary; color: color-yiq($primary); width: 120px; height: 120px; }"
resolved_css <- ".foo { background-color: #007bff; color: #fff; width: 120p... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/knitr.R
\name{guess_knitr_output_format}
\alias{guess_knitr_output_format}
\title{Guess knitr output format}
\usage{
guess_knitr_output_format()
}
\value{
'html', 'latex', or something else. If we are not in a knitr document, returns an empty... | /man/guess_knitr_output_format.Rd | no_license | md0u80c9/huxtable | R | false | true | 510 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/knitr.R
\name{guess_knitr_output_format}
\alias{guess_knitr_output_format}
\title{Guess knitr output format}
\usage{
guess_knitr_output_format()
}
\value{
'html', 'latex', or something else. If we are not in a knitr document, returns an empty... |
stopifnot(length(.dynLibs()) > 0)
pkgload::load_all("empty")
stopifnot(length(.dynLibs()) > 0)
gc()
stopifnot(length(.dynLibs()) > 0)
pkgload::load_all("empty")
stopifnot(length(.dynLibs()) > 0)
gc()
stopifnot(length(.dynLibs()) > 0)
| /tests/wipe.R | no_license | r-lib/pkgload | R | false | false | 234 | r | stopifnot(length(.dynLibs()) > 0)
pkgload::load_all("empty")
stopifnot(length(.dynLibs()) > 0)
gc()
stopifnot(length(.dynLibs()) > 0)
pkgload::load_all("empty")
stopifnot(length(.dynLibs()) > 0)
gc()
stopifnot(length(.dynLibs()) > 0)
|
testlist <- list(id = NULL, id = NULL, booklet_id = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L... | /dexterMST/inst/testfiles/is_person_booklet_sorted/libFuzzer_is_person_booklet_sorted/is_person_booklet_sorted_valgrind_files/1612726097-test.R | no_license | akhikolla/updatedatatype-list1 | R | false | false | 456 | r | testlist <- list(id = NULL, id = NULL, booklet_id = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L... |
library(easyVerification)
### Name: veriApply
### Title: Apply Verification Metrics to Large Datasets
### Aliases: veriApply
### Keywords: utilities
### ** Examples
tm <- toyarray()
f.me <- veriApply('EnsMe', tm$fcst, tm$obs)
## find more examples and instructions in the vignette
## Not run:
##D devtools::install... | /data/genthat_extracted_code/easyVerification/examples/veriApply.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 467 | r | library(easyVerification)
### Name: veriApply
### Title: Apply Verification Metrics to Large Datasets
### Aliases: veriApply
### Keywords: utilities
### ** Examples
tm <- toyarray()
f.me <- veriApply('EnsMe', tm$fcst, tm$obs)
## find more examples and instructions in the vignette
## Not run:
##D devtools::install... |
# title: "Run KNN"
# author: "Corne Oosthuizen - OSTAND005"
# date: "29 June 2017"
library(caret)
library(FNN)
train <- as.data.frame(readRDS('data/train_14_symAdd_pca.rds'))
test <- as.data.frame(readRDS('data/test_14_symAdd_pca.rds'))
names(train)[1] <- "label"
train[,1] <- as.factor(train[,1])
names(test)[1] <- ... | /run_digits_knn_Y111.R | no_license | TurRil/STA5076Z-Supervised-Learning | R | false | false | 1,093 | r | # title: "Run KNN"
# author: "Corne Oosthuizen - OSTAND005"
# date: "29 June 2017"
library(caret)
library(FNN)
train <- as.data.frame(readRDS('data/train_14_symAdd_pca.rds'))
test <- as.data.frame(readRDS('data/test_14_symAdd_pca.rds'))
names(train)[1] <- "label"
train[,1] <- as.factor(train[,1])
names(test)[1] <- ... |
altm <- function(x){
y <- dim(x)
z <- x
z[1,] <- x[1,]*x[y[1],]
return(z)
}
# function converts naiive post-breeding leslie matrix
# into post-breeding leslie matrix
# by multilying survival values in last col by
# fecundity values in first col
# essentially assumes that only adults breed | /R/functions/altm.R | no_license | geryan/rfst | R | false | false | 312 | r | altm <- function(x){
y <- dim(x)
z <- x
z[1,] <- x[1,]*x[y[1],]
return(z)
}
# function converts naiive post-breeding leslie matrix
# into post-breeding leslie matrix
# by multilying survival values in last col by
# fecundity values in first col
# essentially assumes that only adults breed |
c DCNF-Autarky [version 0.0.1].
c Copyright (c) 2018-2019 Swansea University.
c
c Input Clause Count: 163800
c Performing E1-Autarky iteration.
c Remaining clauses count after E-Reduction: 163784
c
c Performing E1-Autarky iteration.
c Remaining clauses count after E-Reduction: 163784
c
c Input Parameter (command lin... | /code/dcnf-ankit-optimized/Results/QBFLIB-2018/E1/Experiments/Wintersteiger/LinearBitvectorRankingFunction/audio_ddksynth_voice.cpp/audio_ddksynth_voice.cpp.R | no_license | arey0pushpa/dcnf-autarky | R | false | false | 825 | r | c DCNF-Autarky [version 0.0.1].
c Copyright (c) 2018-2019 Swansea University.
c
c Input Clause Count: 163800
c Performing E1-Autarky iteration.
c Remaining clauses count after E-Reduction: 163784
c
c Performing E1-Autarky iteration.
c Remaining clauses count after E-Reduction: 163784
c
c Input Parameter (command lin... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/vcovFPC.R
\name{getZt}
\alias{getZt}
\title{getZt - get Zt from an lme object analogous to
getME(object.merMod, "Zt"). See \code{\link{getME}}.}
\usage{
getZt(object)
}
\arguments{
\item{object}{An \code{lme} model}
}
\description... | /man/getZt.Rd | no_license | ICTatRTI/PersonAlytics | R | false | true | 479 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/vcovFPC.R
\name{getZt}
\alias{getZt}
\title{getZt - get Zt from an lme object analogous to
getME(object.merMod, "Zt"). See \code{\link{getME}}.}
\usage{
getZt(object)
}
\arguments{
\item{object}{An \code{lme} model}
}
\description... |
#stats analysis phyllochron 1-2
#stats analysis phyllochron 1-3
#by Dana Looschelders
library(agricolae)
library(PMCMRplus)
library(PMCMR)
library(tidyverse)
library(MASS)
setwd("C:/00 Dana/Uni/Internship/Work")
dat=read.table("Phyllochron.csv", sep=";", dec=" ", header=T)
names(dat)=c("ID", "Variety", "Tre... | /stats_analysis_phyllochron.R | no_license | DanaLooschelders/Stats_Phenology | R | false | false | 7,456 | r | #stats analysis phyllochron 1-2
#stats analysis phyllochron 1-3
#by Dana Looschelders
library(agricolae)
library(PMCMRplus)
library(PMCMR)
library(tidyverse)
library(MASS)
setwd("C:/00 Dana/Uni/Internship/Work")
dat=read.table("Phyllochron.csv", sep=";", dec=" ", header=T)
names(dat)=c("ID", "Variety", "Tre... |
vplog <- getLogger('vis.preprocess')
detect_language <- function(text) {
lang_detected <- lapply(text, textcat)
# from russian-iso8859_5 only take russian
lang_detected <- unlist(lapply(lang_detected,
function(x) {vapply(strsplit(x,"-"), `[`, 1, FUN.VALUE=character(1))}
))
... | /R/preprocess.R | permissive | sbalci/okm | R | false | false | 4,439 | r | vplog <- getLogger('vis.preprocess')
detect_language <- function(text) {
lang_detected <- lapply(text, textcat)
# from russian-iso8859_5 only take russian
lang_detected <- unlist(lapply(lang_detected,
function(x) {vapply(strsplit(x,"-"), `[`, 1, FUN.VALUE=character(1))}
))
... |
# script to plot correlation/interaction plot
args<-commandArgs(TRUE)
if (!require("gplots")) {
install.packages("gplots", dependencies = TRUE)
library(gplots)
}
if (!require("RColorBrewer")) {
install.packages("RColorBrewer", dependencies = TRUE)
library(RColorBrewer)
}
valA=args[1] # e.g. eRNA.expression.... | /modules/binned.correlation.plot.R | no_license | sterding/BRAINcode | R | false | false | 3,306 | r | # script to plot correlation/interaction plot
args<-commandArgs(TRUE)
if (!require("gplots")) {
install.packages("gplots", dependencies = TRUE)
library(gplots)
}
if (!require("RColorBrewer")) {
install.packages("RColorBrewer", dependencies = TRUE)
library(RColorBrewer)
}
valA=args[1] # e.g. eRNA.expression.... |
library(tidyverse)
library(readxl)
library(extrafont)
library(ggthemes)
lodi_weather <- read_xlsx("Lodi weather data 94 thru 99.xlsx")
#Keep date column, precipitation and temperature
lodi_weather <- lodi_weather %>% select(DATE,PRCP,TMAX,TMIN)
#Combine precipation so I get total precipitation across each year
lod... | /figureS2.R | permissive | zoemigicovsky/grapevine_rootstocks | R | false | false | 7,777 | r | library(tidyverse)
library(readxl)
library(extrafont)
library(ggthemes)
lodi_weather <- read_xlsx("Lodi weather data 94 thru 99.xlsx")
#Keep date column, precipitation and temperature
lodi_weather <- lodi_weather %>% select(DATE,PRCP,TMAX,TMIN)
#Combine precipation so I get total precipitation across each year
lod... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/lexruntimeservice_operations.R
\name{lexruntimeservice_post_content}
\alias{lexruntimeservice_post_content}
\title{Sends user input (text or speech) to Amazon Lex}
\usage{
lexruntimeservice_post_content(botName, botAlias, userId,
sessionAtt... | /cran/paws.machine.learning/man/lexruntimeservice_post_content.Rd | permissive | TWarczak/paws | R | false | true | 8,761 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/lexruntimeservice_operations.R
\name{lexruntimeservice_post_content}
\alias{lexruntimeservice_post_content}
\title{Sends user input (text or speech) to Amazon Lex}
\usage{
lexruntimeservice_post_content(botName, botAlias, userId,
sessionAtt... |
testlist <- list(Rs = numeric(0), atmp = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), relh = numeric(0), temp = numeric(0))
result <- do.call(meteor:::ET0_Makkink,testlist)
str(result) | /meteor/inst/testfiles/ET0_Makkink/AFL_ET0_Makkink/ET0_Makkink_valgrind_files/1615850515-test.R | no_license | akhikolla/updatedatatype-list3 | R | false | false | 188 | r | testlist <- list(Rs = numeric(0), atmp = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), relh = numeric(0), temp = numeric(0))
result <- do.call(meteor:::ET0_Makkink,testlist)
str(result) |
#' Export cast a vector to specified type
#'
#' Casting supports a wider range of transformations that are automatically
#' imputed by coercion (e.g. with [vec_coerce()]).
#'
#' @section Casting rules:
#'
#' Casting is more flexible than coercion, and allows for the possibility of
#' information loss. This diagram summ... | /R/cast.R | no_license | gergness/vctrs | R | false | false | 8,561 | r | #' Export cast a vector to specified type
#'
#' Casting supports a wider range of transformations that are automatically
#' imputed by coercion (e.g. with [vec_coerce()]).
#'
#' @section Casting rules:
#'
#' Casting is more flexible than coercion, and allows for the possibility of
#' information loss. This diagram summ... |
#' @title ATA Package Large Example Item Metadata
#' @description Sample data used to demonstrate automated test assembly.
#' @format A data frame with 1096 rows and 44 variables:
#' \describe{
#' \item{Item}{Unique item identifier, alpha-numeric index code.}
#' \item{Content}{Content label, as factor identify... | /R/metadata_large_example.R | no_license | cran/ata | R | false | false | 3,625 | r | #' @title ATA Package Large Example Item Metadata
#' @description Sample data used to demonstrate automated test assembly.
#' @format A data frame with 1096 rows and 44 variables:
#' \describe{
#' \item{Item}{Unique item identifier, alpha-numeric index code.}
#' \item{Content}{Content label, as factor identify... |
household_power_consumption <- read.csv("~/Data_science_specialization/Exploratory_data_analysis/household_power_consumption.txt", sep=";", na.strings = "?")
hpc<- subset(household_power_consumption, Date=="1/2/2007" | Date== "2/2/2007")
#The date and time settings of the variables in the input table are converted
hpc... | /plot2.R | no_license | jmzam-origins/ExData_Plotting1 | R | false | false | 642 | r | household_power_consumption <- read.csv("~/Data_science_specialization/Exploratory_data_analysis/household_power_consumption.txt", sep=";", na.strings = "?")
hpc<- subset(household_power_consumption, Date=="1/2/2007" | Date== "2/2/2007")
#The date and time settings of the variables in the input table are converted
hpc... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/calculate.R
\name{calculate}
\alias{calculate}
\title{calculate greta arrays given fixed values}
\usage{
calculate(
...,
values = list(),
nsim = NULL,
seed = NULL,
precision = c("double", "single"),
trace_batch_size = 100
)
}
\arg... | /man/calculate.Rd | permissive | njtierney/greta | R | false | true | 6,036 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/calculate.R
\name{calculate}
\alias{calculate}
\title{calculate greta arrays given fixed values}
\usage{
calculate(
...,
values = list(),
nsim = NULL,
seed = NULL,
precision = c("double", "single"),
trace_batch_size = 100
)
}
\arg... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plots_SCE.R
\name{plot_abundance}
\alias{plot_abundance}
\title{Plot clonotype abundance}
\usage{
plot_abundance(
SCE_in,
clonotype_col = "cdr3_nt",
cluster_col = NULL,
calc_abundances = FALSE,
plot_type = "bar",
yaxis = "percent"... | /man/plot_abundance.Rd | permissive | friedue/SCEdjvdj | R | false | true | 1,816 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plots_SCE.R
\name{plot_abundance}
\alias{plot_abundance}
\title{Plot clonotype abundance}
\usage{
plot_abundance(
SCE_in,
clonotype_col = "cdr3_nt",
cluster_col = NULL,
calc_abundances = FALSE,
plot_type = "bar",
yaxis = "percent"... |
# mark AOIs as distance from their centers ========================== CHECK NEW AOIS
# make function
data$aoi <- "out"
for(ia in 1:naoi){
data$aoi[sqrt((data$gazePointX-aoimat[1,1,ia])^2+(data$gazePointY-aoimat[1,2,ia])^2)<=aoicorr[1,ia]]<-aoinames[ia]
}
| /markCircularAOIs.R | no_license | datigrezzi/rgaze_draft | R | false | false | 255 | r | # mark AOIs as distance from their centers ========================== CHECK NEW AOIS
# make function
data$aoi <- "out"
for(ia in 1:naoi){
data$aoi[sqrt((data$gazePointX-aoimat[1,1,ia])^2+(data$gazePointY-aoimat[1,2,ia])^2)<=aoicorr[1,ia]]<-aoinames[ia]
}
|
28f340190b84e913d9fc666a1357283a dungeon_i25-m12-u3-v0.pddl_planlen=170.qdimacs 121289 1150637 | /code/dcnf-ankit-optimized/Results/QBFLIB-2018/E1+A1/Database/Kronegger-Pfandler-Pichler/dungeon/dungeon_i25-m12-u3-v0.pddl_planlen=170/dungeon_i25-m12-u3-v0.pddl_planlen=170.R | no_license | arey0pushpa/dcnf-autarky | R | false | false | 94 | r | 28f340190b84e913d9fc666a1357283a dungeon_i25-m12-u3-v0.pddl_planlen=170.qdimacs 121289 1150637 |
est_mc_cov_latent <-
function(S,X1=NULL,X2=NULL,yv=rep(1,nrow(S)),start=0,tol=10^-8,maxit=1000,out_se=FALSE,output=FALSE,fort=TRUE){
# Preliminaries
check_der = FALSE # to check derivatives
n = sum(yv)
sS = dim(S)
ns = sS[1]
TT = sS[2]
b = max(S)
if(min(S,na.rm=T)>0){
cat("|----------------... | /R/est_mc_cov_latent.R | no_license | jmorten/LMest | R | false | false | 5,633 | r | est_mc_cov_latent <-
function(S,X1=NULL,X2=NULL,yv=rep(1,nrow(S)),start=0,tol=10^-8,maxit=1000,out_se=FALSE,output=FALSE,fort=TRUE){
# Preliminaries
check_der = FALSE # to check derivatives
n = sum(yv)
sS = dim(S)
ns = sS[1]
TT = sS[2]
b = max(S)
if(min(S,na.rm=T)>0){
cat("|----------------... |
#start time ALL, to see how long is processing
startTime_ALL <- Sys.time()
#' ## 1 Introduction
#'
#' This project aims to create a movie recommendation system using the MovieLens dat aset.
#' Information on the available scripts, implementation system and processing time can be found in the appendix at the ... | /MovieLens.R | no_license | matej-s/MovieLens | R | false | false | 33,885 | r | #start time ALL, to see how long is processing
startTime_ALL <- Sys.time()
#' ## 1 Introduction
#'
#' This project aims to create a movie recommendation system using the MovieLens dat aset.
#' Information on the available scripts, implementation system and processing time can be found in the appendix at the ... |
library(igraph)
start_time <- Sys.time()
g <- erdos.renyi.game(1000000,10000000,"gnm")
end_time <- Sys.time()
end_time - start_time
start_time <- Sys.time()
g <- erdos.renyi.game(1000000,10000000,"gnm")
end_time <- Sys.time()
end_time - start_time
start_time <- Sys.time()
g <- erdos.renyi.game(1000000,100... | /iGraph/er.r | permissive | Yili0616/graph-analytics-comparison | R | false | false | 1,942 | r | library(igraph)
start_time <- Sys.time()
g <- erdos.renyi.game(1000000,10000000,"gnm")
end_time <- Sys.time()
end_time - start_time
start_time <- Sys.time()
g <- erdos.renyi.game(1000000,10000000,"gnm")
end_time <- Sys.time()
end_time - start_time
start_time <- Sys.time()
g <- erdos.renyi.game(1000000,100... |
library(numDeriv)
library(MASS)
#' Covariate Balancing Propensity Score (CBPS) for Marginal Structural Models
#'
#' \code{CBMSM} estimates propensity scores such that both covariate balance
#' and prediction of treatment assignment are maximized. With longitudinal
#' data, the method returns marginal structural mo... | /R/CBMSM.R | no_license | kosukeimai/CBPS | R | false | false | 25,378 | r | library(numDeriv)
library(MASS)
#' Covariate Balancing Propensity Score (CBPS) for Marginal Structural Models
#'
#' \code{CBMSM} estimates propensity scores such that both covariate balance
#' and prediction of treatment assignment are maximized. With longitudinal
#' data, the method returns marginal structural mo... |
rm(list = ls(all = TRUE))
x<-date()
print(x)
###########################################################################################
### PROJECT: Immune Repertoire. Analysis B cells antibodies
###
### CITATION:
###
### PROCESS:
###
### DESCRIP: Analysis of the VDJ data
###
###
### Author: Silv... | /Clone_type_Analysis_gDNA.R | no_license | silviapineda/VDJ | R | false | false | 18,528 | r | rm(list = ls(all = TRUE))
x<-date()
print(x)
###########################################################################################
### PROJECT: Immune Repertoire. Analysis B cells antibodies
###
### CITATION:
###
### PROCESS:
###
### DESCRIP: Analysis of the VDJ data
###
###
### Author: Silv... |
#' Get coordinates (i.e., row, column, (layer)) of an element of a matrix or
#' array element given by the index.
#'
#' This function is an inverse function to [index()].
#'
#' @param m A matrix or an array whose element coordinates have to be computed
#' @param index The index of the element.
#' @return For matrix, it... | /R/point.R | no_license | beerda/hexmatrix | R | false | false | 1,608 | r | #' Get coordinates (i.e., row, column, (layer)) of an element of a matrix or
#' array element given by the index.
#'
#' This function is an inverse function to [index()].
#'
#' @param m A matrix or an array whose element coordinates have to be computed
#' @param index The index of the element.
#' @return For matrix, it... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{word_scr}
\alias{word_scr}
\alias{word_stacfis}
\title{Creates an R Markdown Word NAFO-formatted document}
\usage{
word_scr(...)
word_stacfis(...)
}
\arguments{
\item{...}{arguments to pass to \code{\link[bookdown:word_document... | /man/word_scr.Rd | permissive | ursusbob/NAFOdown | R | false | true | 588 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{word_scr}
\alias{word_scr}
\alias{word_stacfis}
\title{Creates an R Markdown Word NAFO-formatted document}
\usage{
word_scr(...)
word_stacfis(...)
}
\arguments{
\item{...}{arguments to pass to \code{\link[bookdown:word_document... |
library(testthat)
context("listSpecialSets")
test_that("lists", {
expect_silent(listSpecialSets(T))
expect_silent(listSpecialSets(F))
})
| /tests/testthat/test_misc_listspecialset.R | permissive | xoopR/set6 | R | false | false | 143 | r | library(testthat)
context("listSpecialSets")
test_that("lists", {
expect_silent(listSpecialSets(T))
expect_silent(listSpecialSets(F))
})
|
#' urlr
#'
#' Convert selected text into a url
#'
#' @return a markdown image link
#' @export
#' @importFrom rstudioapi getSourceEditorContext modifyRange
#'
urlr <- function() {
adc <- rstudioapi::getSourceEditorContext()
before_last_space <- '(\\s)(?!.*\\s)(.*?)$'
after_last_space <- '^(.*?)(\\s)(?!.*\\s)... | /R/urlr.R | no_license | aoles/remedy | R | false | false | 1,069 | r | #' urlr
#'
#' Convert selected text into a url
#'
#' @return a markdown image link
#' @export
#' @importFrom rstudioapi getSourceEditorContext modifyRange
#'
urlr <- function() {
adc <- rstudioapi::getSourceEditorContext()
before_last_space <- '(\\s)(?!.*\\s)(.*?)$'
after_last_space <- '^(.*?)(\\s)(?!.*\\s)... |
#this function calculate the null distribution of colonization timing
colnllcal <- function(states,pars,tot,dt) {
func0 <- function (time,state1,par) {
with(as.list(c(state1,par)), {
sB <- par[1]
sA <- par[2]
sAB <- par[3]
xB <- par[4]
xA <- par[5]
dB <- par[6]
dA <- par[... | /colnllcal.R | no_license | huaxia1985/TestingConstantSpeciesAddition | R | false | false | 2,410 | r | #this function calculate the null distribution of colonization timing
colnllcal <- function(states,pars,tot,dt) {
func0 <- function (time,state1,par) {
with(as.list(c(state1,par)), {
sB <- par[1]
sA <- par[2]
sAB <- par[3]
xB <- par[4]
xA <- par[5]
dB <- par[6]
dA <- par[... |
## 1. Explore the features of the gamma distribution
## 1a. Graph the probability density function for the gamma distribution
## with a range of shape values, keeping the rate parameter constant
curve( dgamma( x, 0.5, 1 ), from=0, to=10, ylab="pdf" )
curve( dgamma( x, 1, 1 ), from=0, to=10, col=2, add=TRUE )
curv... | /RStuff/NeptuneAdvTraining_Athens/1Simulation/ExSimKP.R | no_license | puruckertom/swat_gof | R | false | false | 9,232 | r |
## 1. Explore the features of the gamma distribution
## 1a. Graph the probability density function for the gamma distribution
## with a range of shape values, keeping the rate parameter constant
curve( dgamma( x, 0.5, 1 ), from=0, to=10, ylab="pdf" )
curve( dgamma( x, 1, 1 ), from=0, to=10, col=2, add=TRUE )
curv... |
## Opening the required libraries and some.
library(dplyr)
library(datasets)
library(reshape2)
## First of all, we are going to read in all the data given in the form of .txt files
## Reading all activities ID and their names and apprpriately labeling the columns
labels <- read.table("./UCI HAR Dataset/activity... | /run_analysis.R | no_license | v-nayjack/Getting-and-Cleaning-Data-Course_Project | R | false | false | 3,024 | r | ## Opening the required libraries and some.
library(dplyr)
library(datasets)
library(reshape2)
## First of all, we are going to read in all the data given in the form of .txt files
## Reading all activities ID and their names and apprpriately labeling the columns
labels <- read.table("./UCI HAR Dataset/activity... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/network.generic.R
\docType{methods}
\name{network.glmnet.private,ANY,matrix-method}
\alias{network.glmnet.private,ANY,matrix-method}
\title{Calculate GLM model with network-based regularization}
\usage{
\S4method{network.glmnet.private}{ANY,m... | /man/network.glmnet.private-ANY-matrix-method.Rd | no_license | averissimo/network.cox | R | false | true | 550 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/network.generic.R
\docType{methods}
\name{network.glmnet.private,ANY,matrix-method}
\alias{network.glmnet.private,ANY,matrix-method}
\title{Calculate GLM model with network-based regularization}
\usage{
\S4method{network.glmnet.private}{ANY,m... |
xdf_mlbSub <- read.table("mlb_filter_example.tsv", header=TRUE, sep="\t", quote="\"")
tail(xdf_mlbSub)
dim(xdf_mlbSub)
############## the field PID_ndx gives the row index for the last
############## appearance of pitcher
############## gives zero if first appearance in data
############
x <- as.vector(xdf_mlbS... | /_07_localLevel_MLB_example_01.R | no_license | davezes/Stats_141SL | R | false | false | 1,727 | r |
xdf_mlbSub <- read.table("mlb_filter_example.tsv", header=TRUE, sep="\t", quote="\"")
tail(xdf_mlbSub)
dim(xdf_mlbSub)
############## the field PID_ndx gives the row index for the last
############## appearance of pitcher
############## gives zero if first appearance in data
############
x <- as.vector(xdf_mlbS... |
#' Alpine newt body temperatures and associated operative temperatures
#'
#' Active field body temperature data of Belgian alpine newts
#' (\emph{Ichthyosaura alpestris}) and associated operative temperature data
#' from agar models, collected during nocturnal surveys in spring. Data are in
#' degrees Celsius.... | /R/ichalp-data.R | no_license | wouterbeukema/ectotemp | R | false | false | 453 | r | #' Alpine newt body temperatures and associated operative temperatures
#'
#' Active field body temperature data of Belgian alpine newts
#' (\emph{Ichthyosaura alpestris}) and associated operative temperature data
#' from agar models, collected during nocturnal surveys in spring. Data are in
#' degrees Celsius.... |
errate = function(fun) {
function(...) {
warn <- err <- NULL
result <- withCallingHandlers(
tryCatch(
fun(...),
error=function(e) {
err <<- conditionMessage(e)
NULL
}),
warning=function(w) {
warn <<- append(warn, conditionMessage(w))
inv... | /R/errate.R | permissive | spgolden/mynr | R | false | false | 2,173 | r |
errate = function(fun) {
function(...) {
warn <- err <- NULL
result <- withCallingHandlers(
tryCatch(
fun(...),
error=function(e) {
err <<- conditionMessage(e)
NULL
}),
warning=function(w) {
warn <<- append(warn, conditionMessage(w))
inv... |
library(geoSpectral)
### Name: spc.getwavelengths
### Title: Extract wave lenghts of a 'Spectra' object
### Aliases: spc.getwavelengths spc.getwavelengths,Spectra-method
### ** Examples
x <- spc.example_spectra()
spc.getwavelengths(x)
| /data/genthat_extracted_code/geoSpectral/examples/spc.getwavelengths.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 246 | r | library(geoSpectral)
### Name: spc.getwavelengths
### Title: Extract wave lenghts of a 'Spectra' object
### Aliases: spc.getwavelengths spc.getwavelengths,Spectra-method
### ** Examples
x <- spc.example_spectra()
spc.getwavelengths(x)
|
##-------------------------------------
## fit a drift term in a Tweedie model
## CM for discussion with Louise
## 22/06/2021
##-------------------------------------
library(icesDatras)
library(ggplot2); theme_set(theme_bw())
library(mgcv)
library(tweedie)
## Norway pout WoRMS ID
aphia_id <- 126444
##----------------... | /coilin_sandbox/tweedie_drift/tweedie.R | no_license | IrishMarineInstitute/ClimFish | R | false | false | 4,231 | r | ##-------------------------------------
## fit a drift term in a Tweedie model
## CM for discussion with Louise
## 22/06/2021
##-------------------------------------
library(icesDatras)
library(ggplot2); theme_set(theme_bw())
library(mgcv)
library(tweedie)
## Norway pout WoRMS ID
aphia_id <- 126444
##----------------... |
GetMeta <- function(StudyName, subCol, groups=TRUE){
if(grepl("Stanley", StudyName)){
collection = gsub("Stanley", "", StudyName)
StanleyStudies <- read.table("StanleyStudies.txt", sep="\t", header=T)
MetaAll <- read.table(paste0(path, "MetadataStanley.csv"), header = T, sep="\t")
names(MetaAll) <- sa... | /ProjectScripts/projectFunc.R | no_license | ltoker/CellularChangesPsychiatry | R | false | false | 33,905 | r | GetMeta <- function(StudyName, subCol, groups=TRUE){
if(grepl("Stanley", StudyName)){
collection = gsub("Stanley", "", StudyName)
StanleyStudies <- read.table("StanleyStudies.txt", sep="\t", header=T)
MetaAll <- read.table(paste0(path, "MetadataStanley.csv"), header = T, sep="\t")
names(MetaAll) <- sa... |
## File Name: rasch.mml2.R
## File Version: 7.4619
# Semiparametric Maximum Likelihood Estimation in the Rasch type Model
# item discrimination and guessing parameter can be fixed
rasch.mml2 <- function( dat, theta.k=seq(-6,6,len=21), group=NULL, weights=NULL,
constraints=NULL, glob.conv=10^(-5), parm.... | /sirt/R/rasch.mml2.R | no_license | akhikolla/TestedPackages-NoIssues | R | false | false | 51,960 | r | ## File Name: rasch.mml2.R
## File Version: 7.4619
# Semiparametric Maximum Likelihood Estimation in the Rasch type Model
# item discrimination and guessing parameter can be fixed
rasch.mml2 <- function( dat, theta.k=seq(-6,6,len=21), group=NULL, weights=NULL,
constraints=NULL, glob.conv=10^(-5), parm.... |
## slices <- c(1210529,37000,344148,22500,12000,406544)
## slices <- slices[order(c(1210529,37000,344148,22500,12000,406544))]
## lbls <- c("Personnel","Travel","Consumables","Publication","Training","Indirect costs")
## lbls <- lbls[order(c(1210529,37000,344148,22500,12000,406544))]
## pct <- round(slices/sum(slices... | /figures/PieChart.r | permissive | alj1983/2019HongKongPresentation | R | false | false | 3,558 | r |
## slices <- c(1210529,37000,344148,22500,12000,406544)
## slices <- slices[order(c(1210529,37000,344148,22500,12000,406544))]
## lbls <- c("Personnel","Travel","Consumables","Publication","Training","Indirect costs")
## lbls <- lbls[order(c(1210529,37000,344148,22500,12000,406544))]
## pct <- round(slices/sum(slices... |
\name{magcon}
\alias{magcon}
\title{
2D quantile images and contours
}
\description{
This function generates pretty images and contours that reflect the 2D quantile levels of the data. This means the user can immediately assess the 2D regime that contains an arbitrary percentage of the data. This function was designed... | /magicaxis/man/magcon.Rd | no_license | rtobar/SS19B-Robotham | R | false | false | 3,771 | rd | \name{magcon}
\alias{magcon}
\title{
2D quantile images and contours
}
\description{
This function generates pretty images and contours that reflect the 2D quantile levels of the data. This means the user can immediately assess the 2D regime that contains an arbitrary percentage of the data. This function was designed... |
datafile<-"./Exploratory Data Analysis/household_power_consumption.txt"
data<-read.table(datafile,sep=";",header=TRUE) #read data
subdata<-subset(data,data$Date %in% c("1/2/2007","2/2/2007")) #subset data from 1/2/2007 to 2/2/2007
submetering1<-as.numeric(subdata$Sub_metering_1)
submetering2<-as.numeric(subdata$Sub_... | /plot3.R | no_license | TWOSECOND/ExData_Plotting1 | R | false | false | 805 | r | datafile<-"./Exploratory Data Analysis/household_power_consumption.txt"
data<-read.table(datafile,sep=";",header=TRUE) #read data
subdata<-subset(data,data$Date %in% c("1/2/2007","2/2/2007")) #subset data from 1/2/2007 to 2/2/2007
submetering1<-as.numeric(subdata$Sub_metering_1)
submetering2<-as.numeric(subdata$Sub_... |
#' Document vectorization object
#'
#' This class contains a vectorization model for textual documents.
#' @name vectorizer-class
#' @slot vectorizer The vectorizer.
#' @slot transform The transformation to be applied after vectorization (normalization, TF-IDF).
#' @slot phrases The phrase detection method.
#' @slot tf... | /R/text.R | no_license | cran/fdm2id | R | false | false | 24,713 | r | #' Document vectorization object
#'
#' This class contains a vectorization model for textual documents.
#' @name vectorizer-class
#' @slot vectorizer The vectorizer.
#' @slot transform The transformation to be applied after vectorization (normalization, TF-IDF).
#' @slot phrases The phrase detection method.
#' @slot tf... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tree_functions.R
\name{binary_tree}
\alias{binary_tree}
\title{Create a binary tree object}
\usage{
binary_tree(label, left = NULL, right = NULL)
}
\arguments{
\item{label}{The label of the node}
\item{left}{The left binary tree}
\item{righ... | /man/binary_tree.Rd | permissive | asmagen/hierarchicalSingleCell | R | false | true | 431 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tree_functions.R
\name{binary_tree}
\alias{binary_tree}
\title{Create a binary tree object}
\usage{
binary_tree(label, left = NULL, right = NULL)
}
\arguments{
\item{label}{The label of the node}
\item{left}{The left binary tree}
\item{righ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/rndpoints.r
\docType{data}
\name{rndpoints}
\alias{rndpoints}
\title{Dataset: random points}
\format{
SpatialPointsDataFrame
}
\usage{
data(rndpoints)
}
\description{
A SpatialPointsDataFrame representing random locations.
}
\keyword{datasets... | /man/rndpoints.Rd | no_license | cran/GmAMisc | R | false | true | 322 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/rndpoints.r
\docType{data}
\name{rndpoints}
\alias{rndpoints}
\title{Dataset: random points}
\format{
SpatialPointsDataFrame
}
\usage{
data(rndpoints)
}
\description{
A SpatialPointsDataFrame representing random locations.
}
\keyword{datasets... |
#' @export
PortSummary<-function(lfa='34',bins=seq(50,200,5),output='graph'){
loadfunctions('lobster')
lobster.db('atSea')
atSea<-addSYEAR(subset(atSea,LFA==lfa))
atSea$YEAR<-year(atSea$SDATE)
atSea$SYEAR[month(atSea$SDATE)<12&atSea$YEAR<2001]<-atSea$YEAR[month(atSea$SDATE)<12&atSea$YEAR<2001]
atSea$SYEAR[mont... | /R/PortSummary.r | no_license | LobsterScience/bio.lobster | R | false | false | 3,214 | r | #' @export
PortSummary<-function(lfa='34',bins=seq(50,200,5),output='graph'){
loadfunctions('lobster')
lobster.db('atSea')
atSea<-addSYEAR(subset(atSea,LFA==lfa))
atSea$YEAR<-year(atSea$SDATE)
atSea$SYEAR[month(atSea$SDATE)<12&atSea$YEAR<2001]<-atSea$YEAR[month(atSea$SDATE)<12&atSea$YEAR<2001]
atSea$SYEAR[mont... |
# For your information, briefly, the model is that, as below,
# Y_ij = intercept + dummyX_ij * (beta + beta_i) + Z_ij * (b + b_i) + error_ij,
# where 'beta' and 'b' are fixed effects while 'b and 'b_i' are random slope effects.
# We conduct the test that H_0: variance of b_i = 0 v.s. H_a: variance of b_i > 0 through e... | /full simulation/12.7.2017/power test/variance0.25/power_0.25_8_grp50_rep20.R | no_license | wma9/FMRI-project | R | false | false | 23,536 | r | # For your information, briefly, the model is that, as below,
# Y_ij = intercept + dummyX_ij * (beta + beta_i) + Z_ij * (b + b_i) + error_ij,
# where 'beta' and 'b' are fixed effects while 'b and 'b_i' are random slope effects.
# We conduct the test that H_0: variance of b_i = 0 v.s. H_a: variance of b_i > 0 through e... |
# Exponential-Dispersions-Familien
# Dichtefunktion/ Wahrschienlichkeitsfunktion
# Der Form ->
# f(y) = c(y, phi)*exp((y*Teta-A(Teta))/phi)
# Bsp. Binomialverteilung n fest, p
# Normalverteilung mue, sigma^2
# Exponentialverteilung gamma
# Poinsonverteilung
# X^2-Verteilung
# Schlecht -> Gleic... | /Uebung9/uebung9.R | no_license | asver12/Statistische-Verfahren | R | false | false | 3,820 | r | # Exponential-Dispersions-Familien
# Dichtefunktion/ Wahrschienlichkeitsfunktion
# Der Form ->
# f(y) = c(y, phi)*exp((y*Teta-A(Teta))/phi)
# Bsp. Binomialverteilung n fest, p
# Normalverteilung mue, sigma^2
# Exponentialverteilung gamma
# Poinsonverteilung
# X^2-Verteilung
# Schlecht -> Gleic... |
# Packages
require(mlr)
require(tweeDEseq)
source('functions/functions.r')
load('../data/filter_genes.RData')
print('Load and match datasets ...')
data = create.data(path.brca = '../data/brca.rds', path.luad = '../data/luad.rds')
target = as.character(data$target)
rnames = colnames(data)
i = intersect(colnames(data)... | /R/run-MachineLearning-analysis.r | no_license | jlinaresb/RNAseqML | R | false | false | 1,724 | r | # Packages
require(mlr)
require(tweeDEseq)
source('functions/functions.r')
load('../data/filter_genes.RData')
print('Load and match datasets ...')
data = create.data(path.brca = '../data/brca.rds', path.luad = '../data/luad.rds')
target = as.character(data$target)
rnames = colnames(data)
i = intersect(colnames(data)... |
# Script for generating synthetic item response data using the Gaussian
# copula factor and Accelerated Bayesian Additive Regression Trees models
library(bfa.mod)
library(XBART)
library(plyr)
out_of_sample <- FALSE
subpopulation <- FALSE
# paths to item response data for fitting models
IR_data_dir <- "simulated_da... | /code/2-draw_synth_XB.R | no_license | chelsea-k/adaptive-tests | R | false | false | 8,457 | r | # Script for generating synthetic item response data using the Gaussian
# copula factor and Accelerated Bayesian Additive Regression Trees models
library(bfa.mod)
library(XBART)
library(plyr)
out_of_sample <- FALSE
subpopulation <- FALSE
# paths to item response data for fitting models
IR_data_dir <- "simulated_da... |
url = "http://www.randomservices.org/random/data/Challenger2.txt"
oring=read.table(url,header=T)
attach(oring)
# attach command is to lable the data
#
plot(T,I)
oring.lm = lm (I ~T)
# if you would like to see the regression details, you could use the summary function
summary(oring.lm)
# add fitted line to... | /LinearRegression.R | no_license | SaladeDeFruits/Bayesian_Statistics_From_Concept_to_Data_Analysis | R | false | false | 2,695 | r | url = "http://www.randomservices.org/random/data/Challenger2.txt"
oring=read.table(url,header=T)
attach(oring)
# attach command is to lable the data
#
plot(T,I)
oring.lm = lm (I ~T)
# if you would like to see the regression details, you could use the summary function
summary(oring.lm)
# add fitted line to... |
% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/ddo_addTransform.R
\name{applyTransform}
\alias{applyTransform}
\title{Applies the transformation function(s)}
\usage{
applyTransform(transFns, x, env = NULL)
}
\arguments{
\item{transFns}{from the "transforms" attribute of a ddo obje... | /man/applyTransform.Rd | permissive | jrounds/datadr | R | false | false | 712 | rd | % Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/ddo_addTransform.R
\name{applyTransform}
\alias{applyTransform}
\title{Applies the transformation function(s)}
\usage{
applyTransform(transFns, x, env = NULL)
}
\arguments{
\item{transFns}{from the "transforms" attribute of a ddo obje... |
# Multiple Testing --------------------------------------------------------
| /Chapter_13.R | no_license | jSoboil/Introduction-to-Statistical-Learning | R | false | false | 76 | r | # Multiple Testing --------------------------------------------------------
|
context("Test to make sure lat checks and long checks are ok")
test_that("lat and long checks work correctly", {
expect_false(test_lat(-1900))
expect_true(test_lat(-89))
expect_false(test_long(-1800))
expect_true(test_long(-89))
})
context("Testing the aggregate function")
test_that("aggregates wor... | /tests/testthat/test-mapData.r | no_license | Hackout2/mapData | R | false | false | 46,073 | r |
context("Test to make sure lat checks and long checks are ok")
test_that("lat and long checks work correctly", {
expect_false(test_lat(-1900))
expect_true(test_lat(-89))
expect_false(test_long(-1800))
expect_true(test_long(-89))
})
context("Testing the aggregate function")
test_that("aggregates wor... |
library(Cascade)
### Name: compare-methods
### Title: Some basic criteria of comparison between actual and inferred
### network.
### Aliases: compare-methods compare compare,network,network,numeric-method
### ** Examples
data(simul)
#Comparing true and inferred networks
F_score=NULL
#Here are the cutoff level t... | /data/genthat_extracted_code/Cascade/examples/compare-methods.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 554 | r | library(Cascade)
### Name: compare-methods
### Title: Some basic criteria of comparison between actual and inferred
### network.
### Aliases: compare-methods compare compare,network,network,numeric-method
### ** Examples
data(simul)
#Comparing true and inferred networks
F_score=NULL
#Here are the cutoff level t... |
#' Sort_major_minor
#'
#' Sorting and reordering table
#' @param data data
#' @param col1 col1
#' @param col2 col2
#' @export
#' @return None
Sort_major_minor<-function(data, col1, col2){
for (i in 1:dim(data)[1]) {
if (data[i,col1] < data[i,col2]) {
save = data[i,col2]
data[i,col2] = data[i,col1]
... | /eSNPKaryotyping/R/Sort_major_minor.R | no_license | BenvenLab/eSNPKaryotyping | R | false | false | 370 | r | #' Sort_major_minor
#'
#' Sorting and reordering table
#' @param data data
#' @param col1 col1
#' @param col2 col2
#' @export
#' @return None
Sort_major_minor<-function(data, col1, col2){
for (i in 1:dim(data)[1]) {
if (data[i,col1] < data[i,col2]) {
save = data[i,col2]
data[i,col2] = data[i,col1]
... |
context("erfc function")
test_that("check mode of x", {
x <- rnorm(4L)
expect_match(mode(erfc(x)), "numeric")
})
test_that("erfc length is constant", {
x <- rnorm(4L)
y <- 5.
expect_equal(length(x), length(erfc(x)))
})
| /data/genthat_extracted_code/tsensembler/tests/test-erfc.R | no_license | surayaaramli/typeRrh | R | false | false | 231 | r | context("erfc function")
test_that("check mode of x", {
x <- rnorm(4L)
expect_match(mode(erfc(x)), "numeric")
})
test_that("erfc length is constant", {
x <- rnorm(4L)
y <- 5.
expect_equal(length(x), length(erfc(x)))
})
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/K_KernelObj.R
\name{KernelObj-methods}
\alias{KernelObj-methods}
\alias{.getKernelX,data.frame,KernelObj-method}
\alias{.kernel,KernelObj,ANY,ANY-method}
\alias{.kernel,KernelObj,missing,missing-method}
\alias{.kernel,KernelObj,missing,ANY-me... | /man/KernelObj-methods.Rd | no_license | cran/DynTxRegime | R | false | true | 1,292 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/K_KernelObj.R
\name{KernelObj-methods}
\alias{KernelObj-methods}
\alias{.getKernelX,data.frame,KernelObj-method}
\alias{.kernel,KernelObj,ANY,ANY-method}
\alias{.kernel,KernelObj,missing,missing-method}
\alias{.kernel,KernelObj,missing,ANY-me... |
## Put comments here that give an overall description of what your
## functions do
## Write a short comment describing this function
# Function to create a cacheable matrix
makeCacheMatrix <- function(x = matrix()) {
inverse <- NULL
... | /cachematrix.R | no_license | senekanei/ProgrammingAssignment2 | R | false | false | 1,855 | r | ## Put comments here that give an overall description of what your
## functions do
## Write a short comment describing this function
# Function to create a cacheable matrix
makeCacheMatrix <- function(x = matrix()) {
inverse <- NULL
... |
dataset <- 'MERGE.clean.FINAL'
#load("Cross_Validation.Rdata")
load("resid.models.Rdata") # load total phenotype with covariates for all subjects
total <- total[(!is.na(total$IID) & !is.na(total$BMI) & !is.na(total$SEX) & !is.na(total$AGE) & !is.na(total$BATCH) & !is.na(total$C1)),] # remove any subjects with missing d... | /Cross_Validation_GSEA.r | no_license | MatthewASimonson/gene_set_scripts | R | false | false | 12,117 | r | dataset <- 'MERGE.clean.FINAL'
#load("Cross_Validation.Rdata")
load("resid.models.Rdata") # load total phenotype with covariates for all subjects
total <- total[(!is.na(total$IID) & !is.na(total$BMI) & !is.na(total$SEX) & !is.na(total$AGE) & !is.na(total$BATCH) & !is.na(total$C1)),] # remove any subjects with missing d... |
#' Retrieve the Active Project
#'
#' Retrieve the path to the active project (if any).
#'
#' @param default The value to return when no project is
#' currently active. Defaults to `NULL`.
#'
#' @export
#'
#' @return The active project directory, as a length-one character vector.
#'
#' @examples
#' \dontrun{
#'
#' # ... | /R/project.R | no_license | philipp-baumann/renv | R | false | false | 3,999 | r |
#' Retrieve the Active Project
#'
#' Retrieve the path to the active project (if any).
#'
#' @param default The value to return when no project is
#' currently active. Defaults to `NULL`.
#'
#' @export
#'
#' @return The active project directory, as a length-one character vector.
#'
#' @examples
#' \dontrun{
#'
#' # ... |
library(PBImisc)
### Name: eden
### Title: European day hospital evaluation
### Aliases: eden
### Keywords: eden
### ** Examples
data(eden)
library(lattice)
xyplot(BPRS.Average~MANSA|center, data=eden, type=c("p","g","smooth"))
| /data/genthat_extracted_code/PBImisc/examples/eden.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 235 | r | library(PBImisc)
### Name: eden
### Title: European day hospital evaluation
### Aliases: eden
### Keywords: eden
### ** Examples
data(eden)
library(lattice)
xyplot(BPRS.Average~MANSA|center, data=eden, type=c("p","g","smooth"))
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/praise_bien.R
\name{praise_bien}
\alias{praise_bien}
\title{Crear frases de éxito estilo mexicanas}
\usage{
praise_bien(exclamaciones = exclamacion_positiva,
frases = frase_positiva, refranes = refranes_positivos)
}
\arguments{
\item{exclam... | /man/praise_bien.Rd | no_license | ComunidadBioInfo/praiseMX | R | false | true | 906 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/praise_bien.R
\name{praise_bien}
\alias{praise_bien}
\title{Crear frases de éxito estilo mexicanas}
\usage{
praise_bien(exclamaciones = exclamacion_positiva,
frases = frase_positiva, refranes = refranes_positivos)
}
\arguments{
\item{exclam... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/nagelR2.r
\name{nagelR2}
\alias{nagelR2}
\title{Nagelkerge's / Craig & Uhler's R2}
\usage{
nagelR2(likeNull, likeFull, n)
}
\arguments{
\item{likeNull}{Likelihood (not log-likelihood) of the null model or an object of class \code{logLik} with... | /man/nagelR2.Rd | no_license | adamlilith/statisfactory | R | false | true | 1,086 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/nagelR2.r
\name{nagelR2}
\alias{nagelR2}
\title{Nagelkerge's / Craig & Uhler's R2}
\usage{
nagelR2(likeNull, likeFull, n)
}
\arguments{
\item{likeNull}{Likelihood (not log-likelihood) of the null model or an object of class \code{logLik} with... |
\name{xml.rpc}
\alias{xml.rpc}
\title{Invoke XML-RPC method from R}
\description{
This function can be used to invoke a method provided by an XML-RPC
(remote procedure call) server.
It can pass R objects in the request by serializing them to XML format
and also converts the result back to R.
}
\usage{
xml.rpc(url, ... | /man/xml.rpc.Rd | no_license | duncantl/XMLRPC | R | false | false | 3,445 | rd | \name{xml.rpc}
\alias{xml.rpc}
\title{Invoke XML-RPC method from R}
\description{
This function can be used to invoke a method provided by an XML-RPC
(remote procedure call) server.
It can pass R objects in the request by serializing them to XML format
and also converts the result back to R.
}
\usage{
xml.rpc(url, ... |
library(ropercenter)
### Name: roper_download
### Title: Download datasets from the Roper Center
### Aliases: roper_download
### ** Examples
## Not run:
##D roper_download(file_id = c("CNCIPO1996-96010", "CNCIPO2000-02"))
## End(Not run)
| /data/genthat_extracted_code/ropercenter/examples/roper_download.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 248 | r | library(ropercenter)
### Name: roper_download
### Title: Download datasets from the Roper Center
### Aliases: roper_download
### ** Examples
## Not run:
##D roper_download(file_id = c("CNCIPO1996-96010", "CNCIPO2000-02"))
## End(Not run)
|
.onLoad <- function(libname, pkgname) {
options(
civis.ml_train_template_id = get_train_template_id(),
civis.default_database = NULL
)
invisible()
}
get_train_template_id <- function() {
versions <- unique(CIVIS_ML_TEMPLATE_IDS$version)
latest <- max(versions)
id <- CIVIS_ML_TEMPLATE_IDS[CIVIS_ML_T... | /R/zzz.R | no_license | JosiahParry/civis-r | R | false | false | 923 | r | .onLoad <- function(libname, pkgname) {
options(
civis.ml_train_template_id = get_train_template_id(),
civis.default_database = NULL
)
invisible()
}
get_train_template_id <- function() {
versions <- unique(CIVIS_ML_TEMPLATE_IDS$version)
latest <- max(versions)
id <- CIVIS_ML_TEMPLATE_IDS[CIVIS_ML_T... |
# Resample the Fire risk map to be at the same resolution/extent as the Zillow data
library(tidyverse)
library(raster)
library(googledrive)
# devtools::install_github(repo = "JoshOBrien/rasterDT")
library(rasterDT)
library(gdalUtils)
# make the functions available to download the Zillow grid
source("R/download_grid.R... | /R/configure-hurricane-wind.R | permissive | mikoontz/twensday | R | false | false | 4,016 | r | # Resample the Fire risk map to be at the same resolution/extent as the Zillow data
library(tidyverse)
library(raster)
library(googledrive)
# devtools::install_github(repo = "JoshOBrien/rasterDT")
library(rasterDT)
library(gdalUtils)
# make the functions available to download the Zillow grid
source("R/download_grid.R... |
ssplotM <- function(x, hidden.paths=NULL,
plots="obs", type="d",
sortv=NULL, sort.channel=1, dist.method="OM",
with.missing=FALSE,
title=NA, title.n=TRUE, cex.title=1, title.pos=1,
withlegend="auto", ncol.legend="auto",
... | /R/ssplotM.R | no_license | zencoding/seqHMM | R | false | false | 959 | r | ssplotM <- function(x, hidden.paths=NULL,
plots="obs", type="d",
sortv=NULL, sort.channel=1, dist.method="OM",
with.missing=FALSE,
title=NA, title.n=TRUE, cex.title=1, title.pos=1,
withlegend="auto", ncol.legend="auto",
... |
library(package = "arules")
transactions = read.transactions(file = file("stdin"), format = "basket", sep = ",")
rules = apriori(transactions, parameter = list(minlen=1, sup = 0.001, conf = 0.001))
itemsets <- unique(generatingItemsets(rules))
itemsets.df <- as(itemsets, "data.frame")
frequentItemsets <- itemsets.df[wi... | /Lab4/Mining.R | no_license | anishi-mehta/Data-Mining | R | false | false | 472 | r | library(package = "arules")
transactions = read.transactions(file = file("stdin"), format = "basket", sep = ",")
rules = apriori(transactions, parameter = list(minlen=1, sup = 0.001, conf = 0.001))
itemsets <- unique(generatingItemsets(rules))
itemsets.df <- as(itemsets, "data.frame")
frequentItemsets <- itemsets.df[wi... |
# Script to make example degree days and path plot
library(tidyr)
library(dplyr)
library(lubridate)
library(reshape2)
library(geosphere)
library(ggplot2)
#devtools::install_github("thomasp85/patchwork")
#install.packages("scales")
#devtools::install_github('thomasp85/gganimate')
#library(gganimate)
library... | /3_Figures/Figure_S2.R | no_license | jaseeverett/TailorParticleTracking | R | false | false | 5,306 | r | # Script to make example degree days and path plot
library(tidyr)
library(dplyr)
library(lubridate)
library(reshape2)
library(geosphere)
library(ggplot2)
#devtools::install_github("thomasp85/patchwork")
#install.packages("scales")
#devtools::install_github('thomasp85/gganimate')
#library(gganimate)
library... |
## ----setup, include=FALSE-----------------------------------------------------
library(knitr)
knitr::opts_chunk$set(
fig.align = "center",
fig.height = 5.5,
fig.width = 6,
warning = FALSE,
collapse = TRUE,
dev.args = list(pointsize = 10),
out.width = "65%"
)
## ---- message = FALSE, echo = FALSE--------------... | /inst/doc/Textile-Factory.R | no_license | cran/smmR | R | false | false | 6,142 | r | ## ----setup, include=FALSE-----------------------------------------------------
library(knitr)
knitr::opts_chunk$set(
fig.align = "center",
fig.height = 5.5,
fig.width = 6,
warning = FALSE,
collapse = TRUE,
dev.args = list(pointsize = 10),
out.width = "65%"
)
## ---- message = FALSE, echo = FALSE--------------... |
#########################################################
## Reads Report Files ##
## and pulls out required quantities ##
## Written by: Chantel Wetzel ##
## Date: 4-18-2014 ##
##############################... | /archive_10_15/functions/Rep_Summary.R | no_license | chantelwetzel-noaa/Ch3_DataLoss | R | false | false | 5,034 | r | #########################################################
## Reads Report Files ##
## and pulls out required quantities ##
## Written by: Chantel Wetzel ##
## Date: 4-18-2014 ##
##############################... |
library(tidyverse)
library(here)
library(brms)
library(mice)
bashInput <- commandArgs(trailingOnly = TRUE)
#Function Defining
split_facets <- function(x) {
facet_expr <- unlist(x[["facet"]][["params"]][c("cols", "rows", "facets")])
facet_levels <- lapply(facet_expr, rlang::eval_tidy, data = x[["data"]])
facet... | /fitModelsCluster.R | no_license | NomisCiri/Risk_Gaps | R | false | false | 8,010 | r |
library(tidyverse)
library(here)
library(brms)
library(mice)
bashInput <- commandArgs(trailingOnly = TRUE)
#Function Defining
split_facets <- function(x) {
facet_expr <- unlist(x[["facet"]][["params"]][c("cols", "rows", "facets")])
facet_levels <- lapply(facet_expr, rlang::eval_tidy, data = x[["data"]])
facet... |
##Load File:
data <- read.csv("subset_household_power_consumption.txt", sep=";")
data$DateTime <- strptime(paste(data$Date, data$Time), format='%d/%m/%Y %H:%M:%S')
##Plot Graph:
plot(data$DateTime, data$Global_active_power, type="l", xlab="",
ylab="Global Active Power (kilowatts)")
#Save picture to file:
dev.co... | /Plot2.R | no_license | dhelquist/ExData_Plotting1 | R | false | false | 378 | r | ##Load File:
data <- read.csv("subset_household_power_consumption.txt", sep=";")
data$DateTime <- strptime(paste(data$Date, data$Time), format='%d/%m/%Y %H:%M:%S')
##Plot Graph:
plot(data$DateTime, data$Global_active_power, type="l", xlab="",
ylab="Global Active Power (kilowatts)")
#Save picture to file:
dev.co... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/normalize_isobaric.R
\name{normalize_isobaric}
\alias{normalize_isobaric}
\title{Examine and Apply Isobaric Normalization}
\usage{
normalize_isobaric(
omicsData,
exp_cname = NULL,
apply_norm = FALSE,
channel_cname = NULL,
refpool_ch... | /man/normalize_isobaric.Rd | permissive | clabornd/pmartR | R | false | true | 4,643 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/normalize_isobaric.R
\name{normalize_isobaric}
\alias{normalize_isobaric}
\title{Examine and Apply Isobaric Normalization}
\usage{
normalize_isobaric(
omicsData,
exp_cname = NULL,
apply_norm = FALSE,
channel_cname = NULL,
refpool_ch... |
rm(list = ls())
setwd("~/project/colon cancer/siOTX2/")
library(DESeq2)
library(ggplot2)
#inputf <- read.delim("tophat_featureCounts.txt",comment.char = "#")
inputf <- read.delim("star_featureCounts.txt",sep = "\t",comment.char = "#")
names(inputf) <- c("Geneid","Chr","Start","End","Starnd","Length","siKLF3-1","siKL... | /RNA-seq/siOTX2/siOTX2 and siKLF3 DESeq2.R | no_license | ZhaoChen96/CRC | R | false | false | 16,194 | r | rm(list = ls())
setwd("~/project/colon cancer/siOTX2/")
library(DESeq2)
library(ggplot2)
#inputf <- read.delim("tophat_featureCounts.txt",comment.char = "#")
inputf <- read.delim("star_featureCounts.txt",sep = "\t",comment.char = "#")
names(inputf) <- c("Geneid","Chr","Start","End","Starnd","Length","siKLF3-1","siKL... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/logistic_pseudononmy.R
\name{future.logis}
\alias{future.logis}
\title{Calculate expected optimality for a given trajectory using sequential approach.
We assume a logistic model for the response.}
\usage{
future.logis(D.fix, n.r, z.pro... | /man/future.logis.Rd | no_license | mst1g15/biasedcoin | R | false | true | 1,241 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/logistic_pseudononmy.R
\name{future.logis}
\alias{future.logis}
\title{Calculate expected optimality for a given trajectory using sequential approach.
We assume a logistic model for the response.}
\usage{
future.logis(D.fix, n.r, z.pro... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/paws.sfn_operations.R
\name{describe_state_machine}
\alias{describe_state_machine}
\title{Describes a state machine}
\usage{
describe_state_machine(stateMachineArn)
}
\arguments{
\item{stateMachineArn}{[required] The Amazon Resource Name (ARN... | /service/paws.sfn/man/describe_state_machine.Rd | permissive | CR-Mercado/paws | R | false | true | 641 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/paws.sfn_operations.R
\name{describe_state_machine}
\alias{describe_state_machine}
\title{Describes a state machine}
\usage{
describe_state_machine(stateMachineArn)
}
\arguments{
\item{stateMachineArn}{[required] The Amazon Resource Name (ARN... |
#move pdfs from subfolder to a new folder
install.packages("stringi")
install.packages("filesstrings")
library(stringr)
library(stringi)
library(filesstrings)
# list all CSV files recursively through each sub-folder
pdf<-list.files("C:/Users/ASUS/Downloads/here",pattern = ".pdf", full.names=T,recursive = T... | /moveFiles.R | no_license | teuzindahuz/spat_ecology | R | false | false | 408 | r | #move pdfs from subfolder to a new folder
install.packages("stringi")
install.packages("filesstrings")
library(stringr)
library(stringi)
library(filesstrings)
# list all CSV files recursively through each sub-folder
pdf<-list.files("C:/Users/ASUS/Downloads/here",pattern = ".pdf", full.names=T,recursive = T... |
## Export: inla.version
## !\name{inla.version}
## !\alias{version}
## !\alias{inla.version}
## !
## !\title{Show the version of the INLA-package}
## !
## !\description{Show the version of the INLA-package}
## !
## !\usage{
## !inla.version(what = c("default", "version", "date"))
## !}
## !
## !\arguments{
## ! \item... | /R/version.R | no_license | jdsimkin04/shinyinla | R | false | false | 2,132 | r | ## Export: inla.version
## !\name{inla.version}
## !\alias{version}
## !\alias{inla.version}
## !
## !\title{Show the version of the INLA-package}
## !
## !\description{Show the version of the INLA-package}
## !
## !\usage{
## !inla.version(what = c("default", "version", "date"))
## !}
## !
## !\arguments{
## ! \item... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/relationships.R
\name{relationships}
\alias{relationships}
\alias{paths}
\title{Structural specification functions for seminr package}
\usage{
relationships(...)
paths(from,to)
}
\arguments{
\item{...}{A comma separated list of all the struc... | /man/relationships.Rd | no_license | chendongyu0125/seminr | R | false | true | 1,333 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/relationships.R
\name{relationships}
\alias{relationships}
\alias{paths}
\title{Structural specification functions for seminr package}
\usage{
relationships(...)
paths(from,to)
}
\arguments{
\item{...}{A comma separated list of all the struc... |
# Naive Bayes
# Importing the dataset
dataset = read.csv('Social_Network_Ads.csv')
dataset = dataset[3:5]
# Encoding the target feature as factor
dataset$Purchased = factor(dataset$Purchased, levels = c(0, 1))
# Splitting the dataset into the Training set and Test set
# install.packages('caTools')
library(caTools)
s... | /Part 3 - Classification/Section 18 - Naive Bayes/naive_bayes_user.R | no_license | asjadaugust/machine-learning-toolkit | R | false | false | 2,271 | r | # Naive Bayes
# Importing the dataset
dataset = read.csv('Social_Network_Ads.csv')
dataset = dataset[3:5]
# Encoding the target feature as factor
dataset$Purchased = factor(dataset$Purchased, levels = c(0, 1))
# Splitting the dataset into the Training set and Test set
# install.packages('caTools')
library(caTools)
s... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/fugu.R
\name{fOr}
\alias{fOr}
\title{function-level OR operator}
\usage{
fOr(...)
}
\arguments{
\item{...}{a list of functions}
}
\value{
f st. f(a,b,c) is true when f1(a,b,c) || f2(a,b,c) ...
}
\description{
Return a new function which is tr... | /man/fOr.Rd | no_license | VincentToups/fugu | R | false | true | 373 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/fugu.R
\name{fOr}
\alias{fOr}
\title{function-level OR operator}
\usage{
fOr(...)
}
\arguments{
\item{...}{a list of functions}
}
\value{
f st. f(a,b,c) is true when f1(a,b,c) || f2(a,b,c) ...
}
\description{
Return a new function which is tr... |
library(shiny)
### Name: HTML
### Title: Mark Characters as HTML
### Aliases: HTML
### ** Examples
el <- div(HTML("I like <u>turtles</u>"))
cat(as.character(el))
| /data/genthat_extracted_code/shiny/examples/HTML.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 169 | r | library(shiny)
### Name: HTML
### Title: Mark Characters as HTML
### Aliases: HTML
### ** Examples
el <- div(HTML("I like <u>turtles</u>"))
cat(as.character(el))
|
#' Semi parametric location, shape and scale regression
#'
#' \code{lssVarReg.multi} performs a semiparametric location (\eqn{\xi} or xi), shape (\eqn{\nu} or nu) and scale (\eqn{\omega} or omega) regression model. This is designed for multiple covariates that are fit in the location, scale and shape models.
#' @par... | /R/lssVarReg_multi.R | no_license | cran/VarReg | R | false | false | 14,420 | r | #' Semi parametric location, shape and scale regression
#'
#' \code{lssVarReg.multi} performs a semiparametric location (\eqn{\xi} or xi), shape (\eqn{\nu} or nu) and scale (\eqn{\omega} or omega) regression model. This is designed for multiple covariates that are fit in the location, scale and shape models.
#' @par... |
/fund 2004-2017/07-buy group.R | no_license | shenfan2018/shenfan2018 | R | false | false | 1,736 | r | ||
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/adexchangeseller_functions.R
\docType{package}
\name{adexchangeseller_googleAuthR}
\alias{adexchangeseller_googleAuthR}
\alias{adexchangeseller_googleAuthR-package}
\title{Ad Exchange Seller API
Accesses the inventory of Ad Exchange seller us... | /googleadexchangesellerv1.auto/man/adexchangeseller_googleAuthR.Rd | permissive | Phippsy/autoGoogleAPI | R | false | true | 750 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/adexchangeseller_functions.R
\docType{package}
\name{adexchangeseller_googleAuthR}
\alias{adexchangeseller_googleAuthR}
\alias{adexchangeseller_googleAuthR-package}
\title{Ad Exchange Seller API
Accesses the inventory of Ad Exchange seller us... |
\name{transactions-class}
\docType{class}
\alias{transactions-class}
\alias{transactions}
%%%
\alias{initialize,transactions-method}
\alias{coerce,matrix,transactions-method}
\alias{coerce,list,transactions-method}
\alias{coerce,transactions,matrix-method}
\alias{coerce,transactions,list-method}
\alias{coerce,data.fram... | /man/transactions-class.Rd | no_license | matmo/arules | R | false | false | 8,923 | rd | \name{transactions-class}
\docType{class}
\alias{transactions-class}
\alias{transactions}
%%%
\alias{initialize,transactions-method}
\alias{coerce,matrix,transactions-method}
\alias{coerce,list,transactions-method}
\alias{coerce,transactions,matrix-method}
\alias{coerce,transactions,list-method}
\alias{coerce,data.fram... |
#install.packages('here')
#install.packages('xlsx', type='source', repos='http://cran.rstudio.com')
library(here)
library(haven)
library(foreign)
library(openxlsx)
path<-here::here("data", "municipal_population", "inegi","population_conteo")
# path<-here("data", "municipal_population", "pop2000_and_2010.dta")
# pop... | /scripts/population_conteo.R | no_license | aleistermi/Mortality-and-Suicides-in-Mx-Viz | R | false | false | 3,423 | r | #install.packages('here')
#install.packages('xlsx', type='source', repos='http://cran.rstudio.com')
library(here)
library(haven)
library(foreign)
library(openxlsx)
path<-here::here("data", "municipal_population", "inegi","population_conteo")
# path<-here("data", "municipal_population", "pop2000_and_2010.dta")
# pop... |
####**********************************************************************
####**********************************************************************
####
#### RANDOM FORESTS FOR SURVIVAL, REGRESSION, AND CLASSIFICATION (RF-SRC)
#### Version 2.4.1 (_PROJECT_BUILD_ID_)
####
#### Copyright 2016, University of Miami
##... | /R/data.utilities.R | no_license | ehrlinger/randomForestSRC | R | false | false | 26,704 | r | ####**********************************************************************
####**********************************************************************
####
#### RANDOM FORESTS FOR SURVIVAL, REGRESSION, AND CLASSIFICATION (RF-SRC)
#### Version 2.4.1 (_PROJECT_BUILD_ID_)
####
#### Copyright 2016, University of Miami
##... |
\name{PlotLogTheta}
\alias{PlotLogTheta}
\title{Plot of the log theta penalties}
\usage{
PlotLogTheta(results)
}
\arguments{
\item{results}{Object of class \code{"list"}: either the
output of \code{\link{pawl}} or of
\code{\link{adaptiveMH}}.}
}
\value{
The function returns a ggplot2 object.
}
\description{
... | /man/PlotLogTheta.Rd | no_license | ericschulz/rpawl | R | false | false | 587 | rd | \name{PlotLogTheta}
\alias{PlotLogTheta}
\title{Plot of the log theta penalties}
\usage{
PlotLogTheta(results)
}
\arguments{
\item{results}{Object of class \code{"list"}: either the
output of \code{\link{pawl}} or of
\code{\link{adaptiveMH}}.}
}
\value{
The function returns a ggplot2 object.
}
\description{
... |
source('getData.R')
source('~/Dropbox/LNCC/Doutorado/Disciplinas/Ciência de Redes/Project/getData022018.R')
# Genre - Country (Top 5 Genres) #####################################################
# Pegando apenas 5 gêneros para cada pais, de um top 200 artistas
# Excluindo gêneros que aparecem em todos os países
# Sim... | /top200spotify/R/artistGenreTop5NWA.R | no_license | mmondelli/network-science | R | false | false | 18,562 | r | source('getData.R')
source('~/Dropbox/LNCC/Doutorado/Disciplinas/Ciência de Redes/Project/getData022018.R')
# Genre - Country (Top 5 Genres) #####################################################
# Pegando apenas 5 gêneros para cada pais, de um top 200 artistas
# Excluindo gêneros que aparecem em todos os países
# Sim... |
/Listas/Lista03/Lista3.R | permissive | ClezioLopes/MLG | R | false | false | 13,339 | r | ||
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/questionnaire.R
\name{kre.compute}
\alias{kre.compute}
\title{Oblicza wynik surowy dla kwestionariusza KRE}
\usage{
kre.compute(x, ...)
}
\description{
Oblicza wynik surowy dla kwestionariusza KRE
}
| /man/kre.compute.Rd | no_license | boryspaulewicz/bp | R | false | true | 278 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/questionnaire.R
\name{kre.compute}
\alias{kre.compute}
\title{Oblicza wynik surowy dla kwestionariusza KRE}
\usage{
kre.compute(x, ...)
}
\description{
Oblicza wynik surowy dla kwestionariusza KRE
}
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/paws.greengrass_operations.R
\name{associate_service_role_to_account}
\alias{associate_service_role_to_account}
\title{Associates a role with your account}
\usage{
associate_service_role_to_account(RoleArn = NULL)
}
\arguments{
\item{RoleArn}... | /service/paws.greengrass/man/associate_service_role_to_account.Rd | permissive | CR-Mercado/paws | R | false | true | 797 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/paws.greengrass_operations.R
\name{associate_service_role_to_account}
\alias{associate_service_role_to_account}
\title{Associates a role with your account}
\usage{
associate_service_role_to_account(RoleArn = NULL)
}
\arguments{
\item{RoleArn}... |
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