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/ismevExtension.R
\name{print.gpd.fit}
\alias{print.gpd.fit}
\title{Nicer print of gpd.fit results}
\usage{
\method{print}{gpd.fit}(x, ...)
}
\arguments{
\item{x}{a fitted object of the class pp.fit.}
\item{...}{further arguments passed to \c... | /man/print.gpd.fit.Rd | no_license | ilapros/ilaprosUtils | R | false | true | 589 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ismevExtension.R
\name{print.gpd.fit}
\alias{print.gpd.fit}
\title{Nicer print of gpd.fit results}
\usage{
\method{print}{gpd.fit}(x, ...)
}
\arguments{
\item{x}{a fitted object of the class pp.fit.}
\item{...}{further arguments passed to \c... |
makeCacheMatrix <- function(x = matrix()) {
## This function creates a special "matrix" object that can cache its inverse
makeCacheMatrix <- function(x = matrix()) { ## define the argument with default mode of "matrix"
inv <- NULL ## initialize inv as NULL; will hold value of matr... | /Cachematrix.R | no_license | schmiderek/cachematrix.R | R | false | false | 1,347 | r | makeCacheMatrix <- function(x = matrix()) {
## This function creates a special "matrix" object that can cache its inverse
makeCacheMatrix <- function(x = matrix()) { ## define the argument with default mode of "matrix"
inv <- NULL ## initialize inv as NULL; will hold value of matr... |
pgs <- function(...) {
#' @rdname pgs
#' @export
UseMethod("pgs")
}
| /R/pgs.R | permissive | RogerZou0108/lassosum | R | false | false | 75 | r | pgs <- function(...) {
#' @rdname pgs
#' @export
UseMethod("pgs")
}
|
##' add horizontal align lines
##'
##'
##' @title geom_aline
##' @param mapping aes mapping
##' @param linetype line type
##' @param size line size
##' @param ... additional parameter
##' @return aline layer
##' @export
##' @author Yu Guangchuang
geom_aline <- function(mapping=NULL, linetype="dotted", size=1, ...) {
... | /R/geom_segment.R | no_license | smyang2018/ggtree | R | false | false | 3,534 | r | ##' add horizontal align lines
##'
##'
##' @title geom_aline
##' @param mapping aes mapping
##' @param linetype line type
##' @param size line size
##' @param ... additional parameter
##' @return aline layer
##' @export
##' @author Yu Guangchuang
geom_aline <- function(mapping=NULL, linetype="dotted", size=1, ...) {
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/colour_palettes.R
\name{gg_fill_customs}
\alias{gg_fill_customs}
\title{Custom colours to use in ggplot as scale_fill_manual}
\usage{
gg_fill_customs()
}
\description{
This function lets the user use pre-defined default colours
}
\seealso{
Ot... | /man/gg_fill_customs.Rd | no_license | Hong-Sung-Hyun/lares | R | false | true | 482 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/colour_palettes.R
\name{gg_fill_customs}
\alias{gg_fill_customs}
\title{Custom colours to use in ggplot as scale_fill_manual}
\usage{
gg_fill_customs()
}
\description{
This function lets the user use pre-defined default colours
}
\seealso{
Ot... |
library(tidyverse)
library(modelr)
options(na.action = na.warn)
library(nycflights13)
library(lubridate)
ggplot(diamonds, aes(cut, price)) + geom_boxplot()
ggplot(diamonds, aes(color, price)) + geom_boxplot()
ggplot(diamonds, aes(clarity, price)) + geom_boxplot()
ggplot(diamonds, aes(carat, price)) +
geom_hex(bins ... | /Chapter19.R | no_license | chor-nyan/r4ds | R | false | false | 4,285 | r | library(tidyverse)
library(modelr)
options(na.action = na.warn)
library(nycflights13)
library(lubridate)
ggplot(diamonds, aes(cut, price)) + geom_boxplot()
ggplot(diamonds, aes(color, price)) + geom_boxplot()
ggplot(diamonds, aes(clarity, price)) + geom_boxplot()
ggplot(diamonds, aes(carat, price)) +
geom_hex(bins ... |
testlist <- list(testX = c(191493125665849920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), trainX ... | /dann/inst/testfiles/calc_distance_C/AFL_calc_distance_C/calc_distance_C_valgrind_files/1609867301-test.R | no_license | akhikolla/updated-only-Issues | R | false | false | 1,199 | r | testlist <- list(testX = c(191493125665849920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), trainX ... |
#!/usr/bin/env Rscript
#upload library
#install.packages("VennDiagram")
#setwd("/public/home/nong/pro/npc/process2/results/plot_dir")
arg = commandArgs(trailingOnly = TRUE)
read_cutoff = arg[1]
sample_cutfoff = arg[2]
library(data.table)
ciri2 = fread('ciri2.table.txt', sep="\t")
ce2 = fread('circexplorer2.table.txt'... | /scripts/venn.R | permissive | zhaoljunproject/PipeOne | R | false | false | 953 | r | #!/usr/bin/env Rscript
#upload library
#install.packages("VennDiagram")
#setwd("/public/home/nong/pro/npc/process2/results/plot_dir")
arg = commandArgs(trailingOnly = TRUE)
read_cutoff = arg[1]
sample_cutfoff = arg[2]
library(data.table)
ciri2 = fread('ciri2.table.txt', sep="\t")
ce2 = fread('circexplorer2.table.txt'... |
context('test regex2fixed.R')
test_that("regex2fixed converts regex patterns correctly", {
regex <- list(c('^a$', '^b'), c('c'), c('d'), c('b$'))
types <- c('A', 'AA', 'B', 'BB', 'C', 'CC', 'a', 'aa', 'b', 'bb', 'c', 'cc')
expect_identical(setdiff(
regex2fixed(regex, types, 'fixed', cas... | /tests/testthat/test-regex2fixed.R | no_license | strategist922/quanteda | R | false | false | 1,783 | r | context('test regex2fixed.R')
test_that("regex2fixed converts regex patterns correctly", {
regex <- list(c('^a$', '^b'), c('c'), c('d'), c('b$'))
types <- c('A', 'AA', 'B', 'BB', 'C', 'CC', 'a', 'aa', 'b', 'bb', 'c', 'cc')
expect_identical(setdiff(
regex2fixed(regex, types, 'fixed', cas... |
#' Ancestral Character State Estimation
#'
#' @description
#'
#' Given a tree and a cladistic matrix uses likelihood to estimate the ancestral states for every character.
#'
#' @param cladistic_matrix A character-taxon matrix in the format imported by \link{read_nexus_matrix}.
#' @param time_tree A tree (phylo object) ... | /R/estimate_ancestral_states.R | no_license | cran/Claddis | R | false | false | 23,515 | r | #' Ancestral Character State Estimation
#'
#' @description
#'
#' Given a tree and a cladistic matrix uses likelihood to estimate the ancestral states for every character.
#'
#' @param cladistic_matrix A character-taxon matrix in the format imported by \link{read_nexus_matrix}.
#' @param time_tree A tree (phylo object) ... |
## Week 1, Course Project 1
# set working dir
setwd("~/R Projects/Coursera/04_ExpDataAnalysis/Week 1")
# load data
df <- read.table("household_power_consumption.txt", sep=";", header=TRUE, na.strings = "?")
df$DateTime <- strptime(paste(df$Date, df$Time), "%d/%m/%Y %T", tz="GMT")
# subset the data to 2007-0... | /plot3.R | no_license | dzastera/ExData_Plotting1 | R | false | false | 1,059 | r | ## Week 1, Course Project 1
# set working dir
setwd("~/R Projects/Coursera/04_ExpDataAnalysis/Week 1")
# load data
df <- read.table("household_power_consumption.txt", sep=";", header=TRUE, na.strings = "?")
df$DateTime <- strptime(paste(df$Date, df$Time), "%d/%m/%Y %T", tz="GMT")
# subset the data to 2007-0... |
plot.PCA <- function (x, axes = c(1, 2), choix = c("ind","var","varcor"),
ellipse = NULL, xlim = NULL, ylim = NULL, habillage = "none",
col.hab = NULL, col.ind = "black", col.ind.sup = "blue",
col.quali = "magenta", col.quanti.sup = "blue",
... | /R/plot.PCA.R | no_license | yyleon/FactoMineR | R | false | false | 57,032 | r | plot.PCA <- function (x, axes = c(1, 2), choix = c("ind","var","varcor"),
ellipse = NULL, xlim = NULL, ylim = NULL, habillage = "none",
col.hab = NULL, col.ind = "black", col.ind.sup = "blue",
col.quali = "magenta", col.quanti.sup = "blue",
... |
#PAGE=239
a11=0.05
a1=15
a=1-a11
a=qchisq(a,df=a1)
a=round(a,digits = 1)
a
b1=21
a=1-a11
a=qchisq(a,df=b1)
b=round(a,digits = 1)
b
c1=50
a=1-a11
a=qchisq(a,df=c1)
c=round(a,digits = 1)
c
| /Schaum'S_Outline_Series_-_Theory_And_Problems_Of_Statistics_by_Murray_R._Spiegel/CH11/EX11.11.11/Ex11_11_11.R | permissive | FOSSEE/R_TBC_Uploads | R | false | false | 210 | r | #PAGE=239
a11=0.05
a1=15
a=1-a11
a=qchisq(a,df=a1)
a=round(a,digits = 1)
a
b1=21
a=1-a11
a=qchisq(a,df=b1)
b=round(a,digits = 1)
b
c1=50
a=1-a11
a=qchisq(a,df=c1)
c=round(a,digits = 1)
c
|
args<-commandArgs(T)
in_file <-paste(args[1],'-',args[2],'.kinf',sep = "")
data <-read.table(in_file,sep='\t',header = T)
d <- as.dist(data)
out.hclust=hclust(d,method="average")
out.id <- cutree(out.hclust,h=args[2])
out_file <- paste(args[1],'_',args[2],'.genotype',sep = "")
write.table(out.id, sep = "\t",col.names ... | /Diploid-Outcrossing/diploid_cross_cluster.R | no_license | Tomcxf/OutcrossSeq | R | false | false | 350 | r | args<-commandArgs(T)
in_file <-paste(args[1],'-',args[2],'.kinf',sep = "")
data <-read.table(in_file,sep='\t',header = T)
d <- as.dist(data)
out.hclust=hclust(d,method="average")
out.id <- cutree(out.hclust,h=args[2])
out_file <- paste(args[1],'_',args[2],'.genotype',sep = "")
write.table(out.id, sep = "\t",col.names ... |
#Now Combine all the Test MSE to a single files
combined_linear_mse <- as_tibble(rbind(MSE_lsr, MSE_ridge, MSE_lasso, MSE_pcr, MSE_pls, MSE_boost_reg)) %>%
mutate(Fit_Technique = c("Least Squares", "Ridge", "Lasso", "PCR", "PLS", "Boosted Regression"))
colnames(combined_linear_mse)<-c("MSE", "Model")
combined_li... | /src/09_summary_MSE.R | no_license | medewitt/wine_analysis | R | false | false | 684 | r | #Now Combine all the Test MSE to a single files
combined_linear_mse <- as_tibble(rbind(MSE_lsr, MSE_ridge, MSE_lasso, MSE_pcr, MSE_pls, MSE_boost_reg)) %>%
mutate(Fit_Technique = c("Least Squares", "Ridge", "Lasso", "PCR", "PLS", "Boosted Regression"))
colnames(combined_linear_mse)<-c("MSE", "Model")
combined_li... |
#'imputation by robust matrix decomposition
#'
#' @param Y A single cell RNA data matrix;
#' rows representing cells.
#' @param tau Tuning parameter to penalize the sparsity of S;
#' @param lambda Tuning parameter to penalize the row rank of L;
#' @param initL The initionlization of L;
#' @param initS The initionlizati... | /R/rmd.R | no_license | ChongC1990/scRMD | R | false | false | 3,358 | r | #'imputation by robust matrix decomposition
#'
#' @param Y A single cell RNA data matrix;
#' rows representing cells.
#' @param tau Tuning parameter to penalize the sparsity of S;
#' @param lambda Tuning parameter to penalize the row rank of L;
#' @param initL The initionlization of L;
#' @param initS The initionlizati... |
#
# STEP 1
#
# read the data
#
cars <- read.csv("cars.csv")
#
# STEP 2
#
# split data into "in-sample data" and "out-of-sample" data
# (also known as "train" and "test" sets)
#
split <- floor(nrow(mtcars) * .75)
in_sample_data <- cars[1:split, ]
out_sample_data <- cars[(split+1):nrow(cars), ]
#
# STEP 3
#
# ... | /mlr.r | no_license | dbusteed/hello-regression | R | false | false | 2,350 | r | #
# STEP 1
#
# read the data
#
cars <- read.csv("cars.csv")
#
# STEP 2
#
# split data into "in-sample data" and "out-of-sample" data
# (also known as "train" and "test" sets)
#
split <- floor(nrow(mtcars) * .75)
in_sample_data <- cars[1:split, ]
out_sample_data <- cars[(split+1):nrow(cars), ]
#
# STEP 3
#
# ... |
#' open_repo
#'
#' @description Open repository
#' @param repo_obj An initialized repository
#' @return
#' Summary of the repository.
#' @details Open repository.
#' @export
open_repo <- function(repo_obj) {
if(git2r::is_empty(repo_obj)){
repo <- git2r::repository(normalizePath(getwd()))
} else{
... | /R/open_repo.R | no_license | AngelosPsy/pssr | R | false | false | 407 | r | #' open_repo
#'
#' @description Open repository
#' @param repo_obj An initialized repository
#' @return
#' Summary of the repository.
#' @details Open repository.
#' @export
open_repo <- function(repo_obj) {
if(git2r::is_empty(repo_obj)){
repo <- git2r::repository(normalizePath(getwd()))
} else{
... |
#
# Title: Web Scraping In R
# Purpose: (Knowledge Development) Learning to webscrape with R
# Author: Billy Caughey
# Date: 2020.11.19 - Initial build
#
##### Introduction to HTML #####
library(rvest)
# <h[1-5]> are header tacks
# <p> are paragraph tacks
# <ul> <li> is how to open a bulleted list
# <a hre... | /Web Scraping In R/Web Scraping in R.R | no_license | wcaughey1984/datacamp | R | false | false | 24,819 | r | #
# Title: Web Scraping In R
# Purpose: (Knowledge Development) Learning to webscrape with R
# Author: Billy Caughey
# Date: 2020.11.19 - Initial build
#
##### Introduction to HTML #####
library(rvest)
# <h[1-5]> are header tacks
# <p> are paragraph tacks
# <ul> <li> is how to open a bulleted list
# <a hre... |
#'Build a simulated distribution for No. of Shared Alleles
#'@details This function generates multinomial distribution for loci known the Allele Frequency and Expected Probability of Shared 2,1 or 0 alleles
#'@usage Simulate_DistX(e,m,t)
#'@param e a matrix of Probability of Sharing 2,1 or 0 alleles at each loci. Each ... | /R/Simulate_DistX.R | no_license | ice4prince/mixIndependR | R | false | false | 1,225 | r | #'Build a simulated distribution for No. of Shared Alleles
#'@details This function generates multinomial distribution for loci known the Allele Frequency and Expected Probability of Shared 2,1 or 0 alleles
#'@usage Simulate_DistX(e,m,t)
#'@param e a matrix of Probability of Sharing 2,1 or 0 alleles at each loci. Each ... |
library(rgbif)
library(spocc)
library(maps)
library(mapdata)
map('worldHires','India')
# for Himalayan Tiger
tiger<-occ(query="Tetraogallus himalayensis",from="gbif",has_coords = TRUE,limit=10) # for Himalayan Tiger
datatig<-tiger$gbif$data$Tetraogallus_himalayensis
# longitude and latitude of Himalyan Tiger
datatigx<... | /Easy1.R | no_license | jatinrajani/BiodiversityDataCleaning | R | false | false | 1,366 | r | library(rgbif)
library(spocc)
library(maps)
library(mapdata)
map('worldHires','India')
# for Himalayan Tiger
tiger<-occ(query="Tetraogallus himalayensis",from="gbif",has_coords = TRUE,limit=10) # for Himalayan Tiger
datatig<-tiger$gbif$data$Tetraogallus_himalayensis
# longitude and latitude of Himalyan Tiger
datatigx<... |
\name{df2scidb}
\alias{df2scidb}
\title{Copy a data frame into a SciDB array.}
\description{
Copy a data frame into a new 1-D SciDB array.
}
\usage{
df2scidb(X, name = tmpnam(), dimlabel = "row", chunkSize,
rowOverlap = 0L, types = NULL, nullable, schema_only = FALSE, gc, start)
}
%- maybe also 'usage' for oth... | /man/df2scidb.Rd | no_license | anukat2015/SciDBR | R | false | false | 1,803 | rd | \name{df2scidb}
\alias{df2scidb}
\title{Copy a data frame into a SciDB array.}
\description{
Copy a data frame into a new 1-D SciDB array.
}
\usage{
df2scidb(X, name = tmpnam(), dimlabel = "row", chunkSize,
rowOverlap = 0L, types = NULL, nullable, schema_only = FALSE, gc, start)
}
%- maybe also 'usage' for oth... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/dprime.R
\name{dprime}
\alias{dprime}
\title{Dprime and Other Signal Detection Theory indices.}
\usage{
dprime(n_hit, n_fa, n_miss = NULL, n_cr = NULL, n_targets = NULL,
n_distractors = NULL, adjusted = TRUE)
}
\arguments{
\item{n_hit}{Numb... | /man/dprime.Rd | permissive | hectorabonza/psycho.R | R | false | true | 2,839 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/dprime.R
\name{dprime}
\alias{dprime}
\title{Dprime and Other Signal Detection Theory indices.}
\usage{
dprime(n_hit, n_fa, n_miss = NULL, n_cr = NULL, n_targets = NULL,
n_distractors = NULL, adjusted = TRUE)
}
\arguments{
\item{n_hit}{Numb... |
retrieve_modis_raw_data <- function(product = "MOD13Q1",
lat = 31.938, lon = -109.080,
buffer_size = 1)
{
products <- mt_products()
bands <- mt_bands(product = product)
dates <- mt_dates(product = product, lat = lat, lon = lon)
... | /R/modis_NDVI_functions.R | permissive | PaulESantos/NDVIning | R | false | false | 6,621 | r | retrieve_modis_raw_data <- function(product = "MOD13Q1",
lat = 31.938, lon = -109.080,
buffer_size = 1)
{
products <- mt_products()
bands <- mt_bands(product = product)
dates <- mt_dates(product = product, lat = lat, lon = lon)
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ggplot-utils.R
\name{gg_watermark}
\alias{gg_watermark}
\title{Add in a watermark to plots}
\usage{
gg_watermark(
lab = "DRAFT",
disable = getOption("ggrrr.disable.watermark", default = FALSE)
)
}
\arguments{
\item{lab}{the watermark labe... | /man/gg_watermark.Rd | permissive | terminological/ggrrr | R | false | true | 504 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ggplot-utils.R
\name{gg_watermark}
\alias{gg_watermark}
\title{Add in a watermark to plots}
\usage{
gg_watermark(
lab = "DRAFT",
disable = getOption("ggrrr.disable.watermark", default = FALSE)
)
}
\arguments{
\item{lab}{the watermark labe... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/get_areas_middle.R
\name{get_areas_middle}
\alias{get_areas_middle}
\title{Implements the Acquire Area Middle Master API.}
\usage{
get_areas_middle(api_key = "eca7388c8a3c6332eb702a21bcc63b46", lang = "en")
}
\arguments{
\item{api_key}{string... | /man/get_areas_middle.Rd | permissive | gmlang/RGurunavi | R | false | true | 912 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/get_areas_middle.R
\name{get_areas_middle}
\alias{get_areas_middle}
\title{Implements the Acquire Area Middle Master API.}
\usage{
get_areas_middle(api_key = "eca7388c8a3c6332eb702a21bcc63b46", lang = "en")
}
\arguments{
\item{api_key}{string... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/quick_design.R
\name{fill_out}
\alias{fill_out}
\alias{redesign}
\title{Declare a Design via a Template Function}
\usage{
fill_out(template, expand = TRUE, ...)
redesign(design, expand = TRUE, ...)
}
\arguments{
\item{template}{a function wh... | /man/fill_out.Rd | no_license | antoshachekhonte/DeclareDesign | R | false | true | 1,575 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/quick_design.R
\name{fill_out}
\alias{fill_out}
\alias{redesign}
\title{Declare a Design via a Template Function}
\usage{
fill_out(template, expand = TRUE, ...)
redesign(design, expand = TRUE, ...)
}
\arguments{
\item{template}{a function wh... |
dir <- system.file("examples", "demo", package = "shinyjs")
setwd(dir)
shiny::shinyAppDir(".")
| /shinyjs-demo/app.R | permissive | ycalvinner/shiny-server | R | false | false | 95 | r | dir <- system.file("examples", "demo", package = "shinyjs")
setwd(dir)
shiny::shinyAppDir(".")
|
#' List of persons in Priestley's A Chart of Biography
#'
#' Table with biographical information: names, birth dates, death dates,
#' ages, occupation, category, and the lifespan segments to use in the
#' timeline for all individuals in the 1st (1764) and 7th (1778) editions
#' of Joseph Priestley's *A Chart of Biograp... | /R/Biographies.R | no_license | jrnold/priestley | R | false | false | 4,791 | r | #' List of persons in Priestley's A Chart of Biography
#'
#' Table with biographical information: names, birth dates, death dates,
#' ages, occupation, category, and the lifespan segments to use in the
#' timeline for all individuals in the 1st (1764) and 7th (1778) editions
#' of Joseph Priestley's *A Chart of Biograp... |
## Santiago Mota
## Exploratory Data Analysis
## Course Project 1
## https://class.coursera.org/exdata-002/human_grading/view/courses/972082/assessments/3/submissions
## https://github.com/santiagomota/ExData_Plotting1
# Fork branch file with data
urls <- ("https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhouseho... | /plot3.R | no_license | santiagomota/ExData_Plotting1 | R | false | false | 1,838 | r | ## Santiago Mota
## Exploratory Data Analysis
## Course Project 1
## https://class.coursera.org/exdata-002/human_grading/view/courses/972082/assessments/3/submissions
## https://github.com/santiagomota/ExData_Plotting1
# Fork branch file with data
urls <- ("https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhouseho... |
#' gets beta prior paramenters
#'
#' gets beta prior paramenters and plots distribution
#' @param mu mean of beta distribution
#' @param CV cv of beta distribution
#' @param Min min of x-axis range (default = 0)
#' @param Prior X-axis label
#' @param Plot c(TRUE,FALSE)
#' @return a and b parameter (shape and scale)
#' ... | /R/jabba_utils.R | no_license | Henning-Winker/JABBApkg | R | false | false | 4,845 | r | #' gets beta prior paramenters
#'
#' gets beta prior paramenters and plots distribution
#' @param mu mean of beta distribution
#' @param CV cv of beta distribution
#' @param Min min of x-axis range (default = 0)
#' @param Prior X-axis label
#' @param Plot c(TRUE,FALSE)
#' @return a and b parameter (shape and scale)
#' ... |
# -------------------------------------------------------------------------------
# This file is part of Ranger.
#
# Ranger 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, either version 3 of the License, or... | /rangerts/R/predict.R | no_license | BenjaminGoehry/BlocRF | R | false | false | 25,752 | r | # -------------------------------------------------------------------------------
# This file is part of Ranger.
#
# Ranger 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, either version 3 of the License, or... |
# Have total emissions from PM2.5 decreased in the Baltimore City, Maryland
# (fips == "24510") from 1999 to 2008? Use the base plotting system to make
# a plot answering this question.
NEI <- readRDS("summarySCC_PM25.rds")
SCC <- readRDS("Source_Classification_Code.rds")
tidydata<-aggregate(Emissions ~ year + fips... | /plot2.R | no_license | yencarnacion/ExData_Plotting2 | R | false | false | 566 | r | # Have total emissions from PM2.5 decreased in the Baltimore City, Maryland
# (fips == "24510") from 1999 to 2008? Use the base plotting system to make
# a plot answering this question.
NEI <- readRDS("summarySCC_PM25.rds")
SCC <- readRDS("Source_Classification_Code.rds")
tidydata<-aggregate(Emissions ~ year + fips... |
#' Check DEVILS directory sturucture and print warnings for wrong file types
#'
#' This function perfoms the data reduction on a 2dfDR arc file.
#' You must provide an idx filename and tramline file name (potentially produced by aaorunTLM.R).
#' Optionally you can also perform a bias subtraction and dark correction... | /DEVILSTAZ/R/bizCheck.R | no_license | ICRAR/DEVILS-TAZ | R | false | false | 9,593 | r | #' Check DEVILS directory sturucture and print warnings for wrong file types
#'
#' This function perfoms the data reduction on a 2dfDR arc file.
#' You must provide an idx filename and tramline file name (potentially produced by aaorunTLM.R).
#' Optionally you can also perform a bias subtraction and dark correction... |
###############
###############
###############
# prevalence
pprev <- function(counts){
nsamples <- ncol(counts)
prev <- (rowSums(counts > 0)/nsamples)*100
prev.df <- data.frame(Taxon=rownames(counts), Prevalence=prev)
return(prev.df)
}
###############
###############
###############
# plotting
... | /R/prevalence.R | permissive | nickilott/PSC_UC_Host_Microbiome | R | false | false | 818 | r | ###############
###############
###############
# prevalence
pprev <- function(counts){
nsamples <- ncol(counts)
prev <- (rowSums(counts > 0)/nsamples)*100
prev.df <- data.frame(Taxon=rownames(counts), Prevalence=prev)
return(prev.df)
}
###############
###############
###############
# plotting
... |
numPerPatch48112 <- c(2479,2521)
| /NatureEE-data-archive/Run203021/JAFSdata/JAFSnumPerPatch48112.R | no_license | flaxmans/NatureEE2017 | R | false | false | 33 | r | numPerPatch48112 <- c(2479,2521)
|
library(dplyr)
library(ggplot2)
library(gridExtra)
library(lubridate)
library(tidyverse) # data manipulation
library(cluster) # clustering algorithms
library(factoextra) # clustering algorithms & visualization
orders = read.csv("C:/Users/OJElGhiran/Desktop/Candidate Test/Brazil/olist_orders_dataset.csv",he... | /Customer Segmentation RFM Clustering.R | no_license | oelghira/Customer-Segmentation-from-RFM-Clustering | R | false | false | 12,779 | r | library(dplyr)
library(ggplot2)
library(gridExtra)
library(lubridate)
library(tidyverse) # data manipulation
library(cluster) # clustering algorithms
library(factoextra) # clustering algorithms & visualization
orders = read.csv("C:/Users/OJElGhiran/Desktop/Candidate Test/Brazil/olist_orders_dataset.csv",he... |
suppressPackageStartupMessages(library(oro.nifti))
suppressPackageStartupMessages(library(plyr))
source("source_headerFunc.R")
source("plotter/source_2dplot.R")
| /plotter/header_plotter.R | no_license | felixxiao/brain-imaging | R | false | false | 162 | r | suppressPackageStartupMessages(library(oro.nifti))
suppressPackageStartupMessages(library(plyr))
source("source_headerFunc.R")
source("plotter/source_2dplot.R")
|
#Figure 4.9
write.csv(gen, "data/genesFromAtas.csv")
gen <- read.csv("data/genesFromAtas.csv")
# perform pca using prcomp func, choosing the top n number of genes
ntop=2000
Pvars <- rowVars(assay(vsd))
select <- order(Pvars, decreasing = TRUE)[seq_len(min(ntop,
l... | /R/03_heatMapCOrr.R | no_license | Harithaa-Anandakumar/masters.github.io | R | false | false | 10,052 | r |
#Figure 4.9
write.csv(gen, "data/genesFromAtas.csv")
gen <- read.csv("data/genesFromAtas.csv")
# perform pca using prcomp func, choosing the top n number of genes
ntop=2000
Pvars <- rowVars(assay(vsd))
select <- order(Pvars, decreasing = TRUE)[seq_len(min(ntop,
l... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/helpers.R
\name{add_blueprint}
\alias{add_blueprint}
\title{Add blueprint to a recipe}
\usage{
add_blueprint(base_recipe, blueprint)
}
\arguments{
\item{base_recipe}{A the basic recipe specified by the user. See (TODO reference).}
\item{blue... | /man/add_blueprint.Rd | permissive | konradsemsch/cookbook | R | false | true | 574 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/helpers.R
\name{add_blueprint}
\alias{add_blueprint}
\title{Add blueprint to a recipe}
\usage{
add_blueprint(base_recipe, blueprint)
}
\arguments{
\item{base_recipe}{A the basic recipe specified by the user. See (TODO reference).}
\item{blue... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/model.R
\name{model-method-variational}
\alias{model-method-variational}
\alias{variational}
\title{Run Stan's variational approximation algorithms}
\usage{
variational(
data = NULL,
seed = NULL,
refresh = NULL,
init = NULL,
save_la... | /man/model-method-variational.Rd | permissive | mike-lawrence/cmdstanr | R | false | true | 11,586 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/model.R
\name{model-method-variational}
\alias{model-method-variational}
\alias{variational}
\title{Run Stan's variational approximation algorithms}
\usage{
variational(
data = NULL,
seed = NULL,
refresh = NULL,
init = NULL,
save_la... |
## --------------------------------
##
## Script name: makeCompleteFiles.R
##
## Purpose of script: Make stitched CSVs -- one for trackerholder (the real hand),
## and one for cursorObject (the object)
##
## Author: Shanaa Modchalingam
##
## Date created: 2019-12-16
##
## Email: s.modcha@gmail.com
##
## --------------... | /preprocessing/makeCompleteFiles.R | no_license | shanaam/reachToTarget_distances | R | false | false | 2,637 | r | ## --------------------------------
##
## Script name: makeCompleteFiles.R
##
## Purpose of script: Make stitched CSVs -- one for trackerholder (the real hand),
## and one for cursorObject (the object)
##
## Author: Shanaa Modchalingam
##
## Date created: 2019-12-16
##
## Email: s.modcha@gmail.com
##
## --------------... |
library(shiny)
install.packages("praise",repos = "https://cran.r-project.org")
#this doesn't appear to be working yet...
#install.packages("rgdal", type = "source",
# repos = "https://cran.r-project.org",
# configure.args=c('--with-proj-include=/home/vcap/deps/0/apt/usr/include',
# ... | /contributedCode/cloud_gov_shiny/rgdal/shiny.R | permissive | USEPA/R-User-Group | R | false | false | 626 | r | library(shiny)
install.packages("praise",repos = "https://cran.r-project.org")
#this doesn't appear to be working yet...
#install.packages("rgdal", type = "source",
# repos = "https://cran.r-project.org",
# configure.args=c('--with-proj-include=/home/vcap/deps/0/apt/usr/include',
# ... |
\name{BayesPen}
\alias{BayesPen}
\title{
Bayesian Penalized Credible Regions
}
\description{
Fits the Bayesian penalized credible regions method from the posterior mean and covariance of a Bayesian model.
The function performs variable selection (Bondell and Reich 2012) and confounder selection (Wilson and Reich 201... | /man/BayesPen.Rd | no_license | cran/BayesPen | R | false | false | 4,119 | rd | \name{BayesPen}
\alias{BayesPen}
\title{
Bayesian Penalized Credible Regions
}
\description{
Fits the Bayesian penalized credible regions method from the posterior mean and covariance of a Bayesian model.
The function performs variable selection (Bondell and Reich 2012) and confounder selection (Wilson and Reich 201... |
#' Title salamu
#'
#' Description Generates a message given someone's name
#'
#' @param name Name
#'
#' @return A message
#'
#' @export
#'
#' @examples
#' salamu("Shel")
#'
salamu <- function(name){
paste0("Hi ", name, ", I hope you are well.")
}
| /R/salamu.R | permissive | Shelmith-Kariuki/rdarasa | R | false | false | 250 | r | #' Title salamu
#'
#' Description Generates a message given someone's name
#'
#' @param name Name
#'
#' @return A message
#'
#' @export
#'
#' @examples
#' salamu("Shel")
#'
salamu <- function(name){
paste0("Hi ", name, ", I hope you are well.")
}
|
#' Find Trading Frequency
#'
#' This helper function looks for the trading frequency of the input data set.
#' It can identify daily, weekly, monthly or yearly trading frequency in the
#' data set.
#'
#' @param x The input data set whose trading period we are interested in
#'
#' @return trade.freq The number that ... | /R/trade_freq.R | no_license | rynkwn/backtestGraphics | R | false | false | 1,637 | r | #' Find Trading Frequency
#'
#' This helper function looks for the trading frequency of the input data set.
#' It can identify daily, weekly, monthly or yearly trading frequency in the
#' data set.
#'
#' @param x The input data set whose trading period we are interested in
#'
#' @return trade.freq The number that ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/single_marker_test.R
\name{glma}
\alias{glma}
\title{Single marker association analysis using linear models or linear mixed models}
\usage{
glma(
y = NULL,
X = NULL,
W = NULL,
Glist = NULL,
chr = NULL,
fit = NULL,
verbose = FALS... | /man/glma.Rd | no_license | psoerensen/qgg | R | false | true | 6,158 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/single_marker_test.R
\name{glma}
\alias{glma}
\title{Single marker association analysis using linear models or linear mixed models}
\usage{
glma(
y = NULL,
X = NULL,
W = NULL,
Glist = NULL,
chr = NULL,
fit = NULL,
verbose = FALS... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/method-results.R
\docType{methods}
\name{results}
\alias{results}
\alias{results,}
\alias{results.OutriderDataSet}
\alias{results,OutriderDataSet-method}
\title{Accessor function for the 'results' object in an OutriderDataSet object.}
\usage{... | /man/results.Rd | permissive | loipf/OUTRIDER | R | false | true | 1,525 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/method-results.R
\docType{methods}
\name{results}
\alias{results}
\alias{results,}
\alias{results.OutriderDataSet}
\alias{results,OutriderDataSet-method}
\title{Accessor function for the 'results' object in an OutriderDataSet object.}
\usage{... |
# 5일차 # 엑셀파일 읽는 방법, 별도로 설치하는 환경 있어야.#텍스트, 엑셀파일 읽기함.
# 범주형, 연속형. 두가지의 유형 데이터. 단일 변수형태냐, 단일 변수형태냐. 0#다변 일변량이냐 단수량이냐? 문제정의,데이터수집, 데이터전처리, 탐색적, 데이터분석, 보고서, 발표 #이 절차는 순차적이긴 하지만 계속 피드백하는 과정을 거쳐.
#분석절차 1. 문제정의 2. 자료수집 3. 자료 전처리 4. 자료 탐색(EDA) "오늘 18,내일 19 자료 탐색에 대해서 배울 것. 단일 변수 범주형 자료, 단일 변수 범주형, 연속형. 전처리라는 것은 수집한 데이터가 완벽한 자료... | /M20200518.R | no_license | peolgok/WorkspaceR | R | false | false | 13,489 | r | # 5일차 # 엑셀파일 읽는 방법, 별도로 설치하는 환경 있어야.#텍스트, 엑셀파일 읽기함.
# 범주형, 연속형. 두가지의 유형 데이터. 단일 변수형태냐, 단일 변수형태냐. 0#다변 일변량이냐 단수량이냐? 문제정의,데이터수집, 데이터전처리, 탐색적, 데이터분석, 보고서, 발표 #이 절차는 순차적이긴 하지만 계속 피드백하는 과정을 거쳐.
#분석절차 1. 문제정의 2. 자료수집 3. 자료 전처리 4. 자료 탐색(EDA) "오늘 18,내일 19 자료 탐색에 대해서 배울 것. 단일 변수 범주형 자료, 단일 변수 범주형, 연속형. 전처리라는 것은 수집한 데이터가 완벽한 자료... |
testlist <- list(end = NULL, start = NULL, x = structure(c(4.65661649758392e-10, 1.39067099575524e-309, 2.32903286132618e+96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), .Dim = c(5L, 7L)), segment_end = structure(0, .Dim = c(1L, 1L)), segment_start = structure(0,... | /dynutils/inst/testfiles/project_to_segments/AFL_project_to_segments/project_to_segments_valgrind_files/1609871734-test.R | no_license | akhikolla/updated-only-Issues | R | false | false | 409 | r | testlist <- list(end = NULL, start = NULL, x = structure(c(4.65661649758392e-10, 1.39067099575524e-309, 2.32903286132618e+96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), .Dim = c(5L, 7L)), segment_end = structure(0, .Dim = c(1L, 1L)), segment_start = structure(0,... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/myfuncs-package.R
\docType{package}
\name{myfuncs-package}
\alias{myfuncs-package}
\alias{myfuncs}
\title{My collection of utility functions}
\description{
A collection of utility functions
}
\details{
A collection of utility functions
}
\sec... | /man/myfuncs-package.Rd | no_license | january3/myfuncs | R | false | true | 3,116 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/myfuncs-package.R
\docType{package}
\name{myfuncs-package}
\alias{myfuncs-package}
\alias{myfuncs}
\title{My collection of utility functions}
\description{
A collection of utility functions
}
\details{
A collection of utility functions
}
\sec... |
# Read in the dataset
power <- read.table('../Course4_ExploratoryDataAnalysis/data/household_power_consumption.txt', header = TRUE, sep = ';', dec ='.' )
#Restrict data to the dates 2007-02-01 to 2007-02-02
power$Date <- strptime(power$Date,"%d/%m/%Y")
power$Date <- as.Date(power$Date)
power_clean <- subset(power,Date... | /plot4.R | no_license | regfish7/ExData_Plotting1 | R | false | false | 2,215 | r | # Read in the dataset
power <- read.table('../Course4_ExploratoryDataAnalysis/data/household_power_consumption.txt', header = TRUE, sep = ';', dec ='.' )
#Restrict data to the dates 2007-02-01 to 2007-02-02
power$Date <- strptime(power$Date,"%d/%m/%Y")
power$Date <- as.Date(power$Date)
power_clean <- subset(power,Date... |
##' @title Make tables
##' @param effortdat data.frame containing annual estimates of hectares
##' incentivized for each program
##' @param habitatdat data.frame containing the annual estimates of hectares of
##' habitat available by land cover type, including lcl and ucl from Monte
##' Carlo
##' @param shortfall... | /R/make_tables.R | no_license | pointblue/wetland-incentives-bioenergetics | R | false | false | 23,702 | r | ##' @title Make tables
##' @param effortdat data.frame containing annual estimates of hectares
##' incentivized for each program
##' @param habitatdat data.frame containing the annual estimates of hectares of
##' habitat available by land cover type, including lcl and ucl from Monte
##' Carlo
##' @param shortfall... |
##### Defining global objects####
# source functions
source("2_load_libraries.R")
library(tidyverse)
library(plotly)
master=read.csv("data/All_bycatch_data_2010_2015.csv") %>% select(-c(CV,FOOTNOTE.S.,FISHERY.TYPE.GENERAL,FISHERY.TYPE.SPECIFIC)) %>% .[complete.cases(.[,c(6,9,10)]),] %>% mutate(NUM.FISH=seq(1:nrow(.)))
... | /NBR_bycatch_explorer/app_V2.R | no_license | mssavoca/NOP_NBR_bycatch_analysis | R | false | false | 14,119 | r | ##### Defining global objects####
# source functions
source("2_load_libraries.R")
library(tidyverse)
library(plotly)
master=read.csv("data/All_bycatch_data_2010_2015.csv") %>% select(-c(CV,FOOTNOTE.S.,FISHERY.TYPE.GENERAL,FISHERY.TYPE.SPECIFIC)) %>% .[complete.cases(.[,c(6,9,10)]),] %>% mutate(NUM.FISH=seq(1:nrow(.)))
... |
#install.packages('tabulizer')
#install.packages('rJava')
#install.packages('devtools')
#install.packages('pdftools')
#install.packages('data.table')
library(rvest)
library(tidyverse)
library(data.table)
library(tidytext)
library(stringr)
library(ggplot2)
library(shiny)
library(data.table)
library(leaflet)
library(geoj... | /hw3_u_final.R | no_license | keunyoungko/millennial_migration_los_angeles | R | false | false | 13,604 | r | #install.packages('tabulizer')
#install.packages('rJava')
#install.packages('devtools')
#install.packages('pdftools')
#install.packages('data.table')
library(rvest)
library(tidyverse)
library(data.table)
library(tidytext)
library(stringr)
library(ggplot2)
library(shiny)
library(data.table)
library(leaflet)
library(geoj... |
# function to make a grid of the truth data to compare to predicted
# will be the average intensity of each grid square
make_truth_grid <- function(resolution,
dat1,
dimensions,
type=c('truth', 'grid'),
... | /make_truth_grid.R | no_license | ssarahas/MScProject_ISDM | R | false | false | 1,378 | r | # function to make a grid of the truth data to compare to predicted
# will be the average intensity of each grid square
make_truth_grid <- function(resolution,
dat1,
dimensions,
type=c('truth', 'grid'),
... |
library(qtl)
library(snowfall)
load("/share/malooflab/Ruijuan/F2/QTL_analysis/data/LG.f2.after.crossover.43traits.Rdata")
LG.f2.after.crossover <- sim.geno(LG.f2.after.crossover,step=1,n.draws=32)
LG.f2.after.crossover <- calc.genoprob(LG.f2.after.crossover,step=1)
sfInit(parallel = TRUE, cpus = 16)
sfExport("LG.f2.... | /F2/scantwo/scantwo_perm_5.7.R | no_license | leejimmy93/KIAT_cabernet | R | false | false | 746 | r | library(qtl)
library(snowfall)
load("/share/malooflab/Ruijuan/F2/QTL_analysis/data/LG.f2.after.crossover.43traits.Rdata")
LG.f2.after.crossover <- sim.geno(LG.f2.after.crossover,step=1,n.draws=32)
LG.f2.after.crossover <- calc.genoprob(LG.f2.after.crossover,step=1)
sfInit(parallel = TRUE, cpus = 16)
sfExport("LG.f2.... |
#' @include MariaDBConnection.R
NULL
#' Connect/disconnect to a MariaDB DBMS
#'
#' These methods are straight-forward implementations of the corresponding
#' generic functions.
#'
#' @section Time zones:
#' MySQL and MariaDB support named time zones,
#' they must be installed on the server.
#' See <https://dev.mysql.c... | /R/connect.R | permissive | bpvgoncalves/RMariaDB | R | false | false | 10,688 | r | #' @include MariaDBConnection.R
NULL
#' Connect/disconnect to a MariaDB DBMS
#'
#' These methods are straight-forward implementations of the corresponding
#' generic functions.
#'
#' @section Time zones:
#' MySQL and MariaDB support named time zones,
#' they must be installed on the server.
#' See <https://dev.mysql.c... |
#' Reads a NetCDF file
#'
#' Reads the full content of a NetCDF file, given only the file name
#'
#' @param filn A character string specifying the full path of the NetCDF
#' file to be read.
#' @param varnam A character string specifying the variable name of the NetCDF file.
#' Can also be a vector of character strings... | /R/read_nc_onefile.R | no_license | stineb/rbeni | R | false | false | 6,707 | r | #' Reads a NetCDF file
#'
#' Reads the full content of a NetCDF file, given only the file name
#'
#' @param filn A character string specifying the full path of the NetCDF
#' file to be read.
#' @param varnam A character string specifying the variable name of the NetCDF file.
#' Can also be a vector of character strings... |
## The makeCacheMatrix function creates a special "matrix" object that can
## cache its inverse
makeCacheMatrix <- function(x = matrix()) {
inv <- NULL
set <- function(y) {
x <<- y
inv <<- NULL
}
get <- function() x
setInv <- function(i) inv <<- i
getInv <- function() inv
list(s... | /cachematrix.R | no_license | szetov/ProgrammingAssignment2 | R | false | false | 816 | r | ## The makeCacheMatrix function creates a special "matrix" object that can
## cache its inverse
makeCacheMatrix <- function(x = matrix()) {
inv <- NULL
set <- function(y) {
x <<- y
inv <<- NULL
}
get <- function() x
setInv <- function(i) inv <<- i
getInv <- function() inv
list(s... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/drug_common_utilities.R
\name{get_xml_db_rows}
\alias{get_xml_db_rows}
\title{Reads drug bank xml database and set it in memory.}
\usage{
get_xml_db_rows(xml_db_name)
}
\arguments{
\item{xml_db_name}{string, full path for the drug bank xml or... | /man/get_xml_db_rows.Rd | no_license | Sparklingredstar/dbparser | R | false | true | 1,014 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/drug_common_utilities.R
\name{get_xml_db_rows}
\alias{get_xml_db_rows}
\title{Reads drug bank xml database and set it in memory.}
\usage{
get_xml_db_rows(xml_db_name)
}
\arguments{
\item{xml_db_name}{string, full path for the drug bank xml or... |
# library(googleCharts)
# library(shinythemes)
# Use global max/min for axes so the view window stays
# constant as the user moves between years
xlim <- list(
min = 0,
max = (length(unique(meta_frame$metric))+1)
)
ylim <- list(
min = 0,
max = 1.1
)
navbarPage(title=div(#img(src="logo.png",width = "100px", hei... | /ui.R | permissive | ATL64/anomaly-detection | R | false | false | 7,347 | r |
# library(googleCharts)
# library(shinythemes)
# Use global max/min for axes so the view window stays
# constant as the user moves between years
xlim <- list(
min = 0,
max = (length(unique(meta_frame$metric))+1)
)
ylim <- list(
min = 0,
max = 1.1
)
navbarPage(title=div(#img(src="logo.png",width = "100px", hei... |
#' Build a data frame or list
#'
#' @description
#' `tibble()` is a trimmed down version of [data.frame()] that:
#'
#' * Never coerces inputs (i.e. strings stay as strings!).
#' * Never adds `row.names`.
#' * Never munges column names.
#' * Only recycles length 1 inputs.
#' * Evaluates its arguments lazily and in order... | /R/tibble.R | no_license | jeffreyhanson/tibble | R | false | false | 3,453 | r | #' Build a data frame or list
#'
#' @description
#' `tibble()` is a trimmed down version of [data.frame()] that:
#'
#' * Never coerces inputs (i.e. strings stay as strings!).
#' * Never adds `row.names`.
#' * Never munges column names.
#' * Only recycles length 1 inputs.
#' * Evaluates its arguments lazily and in order... |
#' Transform a quantitative variable into a qualitative variable
#'
#' This function transforms a quantitative variable into a qualitative
#' one by breaking it into classes with the same frequencies.
#'
#' @param var variable to transform
#' @param nbclass number of classes
#' @param include.lowest argument passed to ... | /R/recode.R | no_license | gdutz/questionr | R | false | false | 4,019 | r | #' Transform a quantitative variable into a qualitative variable
#'
#' This function transforms a quantitative variable into a qualitative
#' one by breaking it into classes with the same frequencies.
#'
#' @param var variable to transform
#' @param nbclass number of classes
#' @param include.lowest argument passed to ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/gamelift_operations.R
\name{gamelift_start_match_backfill}
\alias{gamelift_start_match_backfill}
\title{Finds new players to fill open slots in an existing game session}
\usage{
gamelift_start_match_backfill(TicketId, ConfigurationName,
Gam... | /paws/man/gamelift_start_match_backfill.Rd | permissive | sanchezvivi/paws | R | false | true | 4,503 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/gamelift_operations.R
\name{gamelift_start_match_backfill}
\alias{gamelift_start_match_backfill}
\title{Finds new players to fill open slots in an existing game session}
\usage{
gamelift_start_match_backfill(TicketId, ConfigurationName,
Gam... |
# Checks the construction of the SNN graph.
# require(scran); require(testthat); source("test-snn.R")
# Constructing a reference value.
library(igraph)
library(FNN)
check <- function(vals, k=10) {
g <- buildSNNGraph(vals, k=k, d=NA) # turning off PCA.
nn.out <- get.knn(t(vals), k=k)
IDX <- cbind(seq_len(n... | /tests/testthat/test-snn.R | no_license | jan-glx/scran | R | false | false | 2,994 | r | # Checks the construction of the SNN graph.
# require(scran); require(testthat); source("test-snn.R")
# Constructing a reference value.
library(igraph)
library(FNN)
check <- function(vals, k=10) {
g <- buildSNNGraph(vals, k=k, d=NA) # turning off PCA.
nn.out <- get.knn(t(vals), k=k)
IDX <- cbind(seq_len(n... |
sink("logs/2_analyze.txt")
cat("This file conducts the analysis")
print(Sys.time())
# Prepare environment
library(tidyverse)
library(mgcv)
library(foreach)
library(doParallel)
library(doRNG)
cl <- makeCluster(5)
registerDoParallel(cl)
# Set seed for replicability
set.seed(90095)
# Load prepared data
prepared <- ... | /continuous_treatments/code/2_analyze.R | no_license | ilundberg/replication | R | false | false | 16,946 | r |
sink("logs/2_analyze.txt")
cat("This file conducts the analysis")
print(Sys.time())
# Prepare environment
library(tidyverse)
library(mgcv)
library(foreach)
library(doParallel)
library(doRNG)
cl <- makeCluster(5)
registerDoParallel(cl)
# Set seed for replicability
set.seed(90095)
# Load prepared data
prepared <- ... |
###########################################################
### Author:
### Adapted from Code written by
### Date: 12/9/2016
### Project: GBD Nonfatal Estimation
### Purpose: CSMR and Prevalence by location and sex- Alzheimer's Disease
###########################################################
#Setup
rm(l... | /cod_code/neuro_dementia/dementia_country_selection_clean.R | no_license | Nermin-Ghith/ihme-modeling | R | false | false | 4,071 | r | ###########################################################
### Author:
### Adapted from Code written by
### Date: 12/9/2016
### Project: GBD Nonfatal Estimation
### Purpose: CSMR and Prevalence by location and sex- Alzheimer's Disease
###########################################################
#Setup
rm(l... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/runSimulation.R
\name{runSimulation}
\alias{runSimulation}
\alias{summary.SimDesign}
\alias{print.SimDesign}
\title{Run a Monte Carlo simulation given a data.frame of conditions and simulation functions}
\usage{
runSimulation(
design,
rep... | /man/runSimulation.Rd | no_license | phdtai/SimDesign | R | false | true | 38,382 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/runSimulation.R
\name{runSimulation}
\alias{runSimulation}
\alias{summary.SimDesign}
\alias{print.SimDesign}
\title{Run a Monte Carlo simulation given a data.frame of conditions and simulation functions}
\usage{
runSimulation(
design,
rep... |
# Combine .RDA files from "combine_dim.R"
# into single dataframe
# This runs 1 time
# Packages
#library(tidyverse, lib.loc = "/ifs/home/msph/ehs/eag2186/local/hpc/")
## Get functions
source("/ifs/scratch/msph/ehs/eag2186/npbnmf/compare_functions.R")
#source("/ifs/scratch/msph/ehs/eag2186/npbnmf/factor_correspondence... | /misc/Dim/aggregate_dim.R | permissive | lizzyagibson/BN2MF | R | false | false | 1,581 | r | # Combine .RDA files from "combine_dim.R"
# into single dataframe
# This runs 1 time
# Packages
#library(tidyverse, lib.loc = "/ifs/home/msph/ehs/eag2186/local/hpc/")
## Get functions
source("/ifs/scratch/msph/ehs/eag2186/npbnmf/compare_functions.R")
#source("/ifs/scratch/msph/ehs/eag2186/npbnmf/factor_correspondence... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{remove_empty_lines}
\alias{remove_empty_lines}
\title{Parse config file and remove empty lines}
\usage{
remove_empty_lines(lines)
}
\arguments{
\item{lines}{A list of config file lines.}
}
\value{
A list of config file lines whe... | /man/remove_empty_lines.Rd | permissive | durandmorgan/DecoupleR | R | false | true | 418 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{remove_empty_lines}
\alias{remove_empty_lines}
\title{Parse config file and remove empty lines}
\usage{
remove_empty_lines(lines)
}
\arguments{
\item{lines}{A list of config file lines.}
}
\value{
A list of config file lines whe... |
library(ggplot2)
data(diamonds)
diamonds$cut <- unclass(diamonds$cut)
diamonds$color <- unclass(diamonds$color)
diamonds$clarity <- unclass(diamonds$clarity)
fit<- lm(price ~ ., data=diamonds)
shinyServer(
function(input, output) {
output$carat <- renderPrint({input$carat})
output$cut <- renderText({
... | /server.R | no_license | Gabegao/DataProductProject | R | false | false | 1,861 | r | library(ggplot2)
data(diamonds)
diamonds$cut <- unclass(diamonds$cut)
diamonds$color <- unclass(diamonds$color)
diamonds$clarity <- unclass(diamonds$clarity)
fit<- lm(price ~ ., data=diamonds)
shinyServer(
function(input, output) {
output$carat <- renderPrint({input$carat})
output$cut <- renderText({
... |
#################################################################
#
# File: read.cdb.R
# Purpose: Read a cdb database
#
# Created: 20130416
# Authors: Emilio Torres Manzanera
#
# Modifications:
#
#################################################################
read.cdb <- function(file, type=... | /R/read.cdb.R | no_license | cran/cdb | R | false | false | 2,530 | r | #################################################################
#
# File: read.cdb.R
# Purpose: Read a cdb database
#
# Created: 20130416
# Authors: Emilio Torres Manzanera
#
# Modifications:
#
#################################################################
read.cdb <- function(file, type=... |
#' getPretrainedNetwork
#'
#' Downloads antsrnet pretrained network. \url{10.6084/m9.figshare.7246985}
#'
#' @param fileid one of the permitted file ids or pass "show" to list all
#' valid possibilities. Note that most require internet access to download.
#' @param targetFileName optional target filename
#' @param ve... | /R/getPretrainedNetwork.R | no_license | neuroimaginador/ANTsRNet | R | false | false | 1,751 | r | #' getPretrainedNetwork
#'
#' Downloads antsrnet pretrained network. \url{10.6084/m9.figshare.7246985}
#'
#' @param fileid one of the permitted file ids or pass "show" to list all
#' valid possibilities. Note that most require internet access to download.
#' @param targetFileName optional target filename
#' @param ve... |
##-------
## Plot 3
##-------
png("plot3.png")
plot(DateTime,Sub_metering_1,type="l",ylab="",xlab="")
lines(DateTime,Sub_metering_2,type="l",col="red")
lines(DateTime,Sub_metering_3,type="l",col="blue")
title(ylab="Energy sub metering")
legend("topright",lty=1, col = c("black", "red","blue"), legend = c("Sub metering 1... | /plot3.R | no_license | tsimonso/ExData_Plotting1 | R | false | false | 371 | r | ##-------
## Plot 3
##-------
png("plot3.png")
plot(DateTime,Sub_metering_1,type="l",ylab="",xlab="")
lines(DateTime,Sub_metering_2,type="l",col="red")
lines(DateTime,Sub_metering_3,type="l",col="blue")
title(ylab="Energy sub metering")
legend("topright",lty=1, col = c("black", "red","blue"), legend = c("Sub metering 1... |
# This project looks at EPL season collected from seasons 93/94 to 17/18
# The goal of this project is to tell a story with data relating to
# current season title holders; Liverpool FC.
# We want to pave the way for insight that can be looked back upon when
# performing a detailed analysis of the impact Jurgen Klopp h... | /KloppStatisticalAnalysis.R | no_license | agjamali/Jurgen-Klopp-Liverpool-FC-Statistical-Analysis | R | false | false | 908 | r | # This project looks at EPL season collected from seasons 93/94 to 17/18
# The goal of this project is to tell a story with data relating to
# current season title holders; Liverpool FC.
# We want to pave the way for insight that can be looked back upon when
# performing a detailed analysis of the impact Jurgen Klopp h... |
#======================================================
# Example 9.2.2 on Page 436
# Test for Homogeneity
#------------------------------------------------------
U = c(25, 31, 20, 42, 39, 19, 35, 36, 44, 26,
38, 31, 29, 41, 43, 36, 28, 31, 25, 38 )
V = c(28, 17, 33, 25, 31, 21, 16, 19, 31, 27,
... | /Stat/R/Example-9-2-2.r | no_license | AppliedStat/class | R | false | false | 792 | r | #======================================================
# Example 9.2.2 on Page 436
# Test for Homogeneity
#------------------------------------------------------
U = c(25, 31, 20, 42, 39, 19, 35, 36, 44, 26,
38, 31, 29, 41, 43, 36, 28, 31, 25, 38 )
V = c(28, 17, 33, 25, 31, 21, 16, 19, 31, 27,
... |
################################
## Function to split long peptides sequences into smaller pieces of length n (by default n=8)
## and insert \n at split location. This is for having shorter texts on plots. In practice,
## \n breaks peptide names into multiple lines.
.spltpep <- function(x, n=8) {
nc <- nchar(x)
i... | /scripts/tmtFuncs.R | no_license | fredrious/CblbTMT | R | false | false | 5,892 | r |
################################
## Function to split long peptides sequences into smaller pieces of length n (by default n=8)
## and insert \n at split location. This is for having shorter texts on plots. In practice,
## \n breaks peptide names into multiple lines.
.spltpep <- function(x, n=8) {
nc <- nchar(x)
i... |
testlist <- list(x = c(5.25663347308138e+83, 1.02849645494772e-319, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0))
result <- do.call(myTAI:::cpp_geom_mean,testlist)
str(result) | /myTAI/inst/testfiles/cpp_geom_mean/AFL_cpp_geom_mean/cpp_geom_mean_valgrind_files/1615839307-test.R | no_license | akhikolla/updatedatatype-list3 | R | false | false | 194 | r | testlist <- list(x = c(5.25663347308138e+83, 1.02849645494772e-319, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0))
result <- do.call(myTAI:::cpp_geom_mean,testlist)
str(result) |
\name{CTMC_PO_1-class}
\Rdversion{1.1}
\docType{class}
\alias{CTMC_PO_1-class}
\title{Class "CTMC_PO_1"}
\description{Partially observed CTMC.}
\section{Objects from the Class}{
Objects can be created by calls of the form \code{new("CTMC_PO_1", ...)}.
Like CTMCs butdon't have an ending time; the final observation t... | /man/CTMC_PO_1-class.Rd | no_license | cran/DOBAD | R | false | false | 833 | rd | \name{CTMC_PO_1-class}
\Rdversion{1.1}
\docType{class}
\alias{CTMC_PO_1-class}
\title{Class "CTMC_PO_1"}
\description{Partially observed CTMC.}
\section{Objects from the Class}{
Objects can be created by calls of the form \code{new("CTMC_PO_1", ...)}.
Like CTMCs butdon't have an ending time; the final observation t... |
#' read.soilcarbon
#'
#' This function imports data from xlsx format matching the standard soil carbon data template
#'
#' @param file directory to data file
#' @param template set to TRUE if reading in a template file
#' @import openxlsx
#' @import utils
#' @export
read.soilcarbon<-function(file, template=F){
requ... | /R/read.soilcarbon.R | no_license | jb388/soilcarbon | R | false | false | 1,823 | r | #' read.soilcarbon
#'
#' This function imports data from xlsx format matching the standard soil carbon data template
#'
#' @param file directory to data file
#' @param template set to TRUE if reading in a template file
#' @import openxlsx
#' @import utils
#' @export
read.soilcarbon<-function(file, template=F){
requ... |
% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/visHierarchicalLayout.R
\name{visHierarchicalLayout}
\alias{visHierarchicalLayout}
\title{Network visualization Hierarchical layout options}
\usage{
visHierarchicalLayout(graph, enabled = TRUE, levelSeparation = NULL,
direction = NU... | /man/visHierarchicalLayout.Rd | no_license | hnbeck/visNetwork | R | false | false | 1,598 | rd | % Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/visHierarchicalLayout.R
\name{visHierarchicalLayout}
\alias{visHierarchicalLayout}
\title{Network visualization Hierarchical layout options}
\usage{
visHierarchicalLayout(graph, enabled = TRUE, levelSeparation = NULL,
direction = NU... |
#My first R code
xlim <- c(-16.738281, 56.601563)
ylim <- c(-35.039321, 36.856229)
map("world", col="#191919", fill=TRUE, bg="#000000", lwd=0.05, xlim=xlim, ylim=ylim)
pal <- colorRampPalette(c("#333333", "white", "#1292db"))
colors <- pal(100)
mydata=read.csv("/Users/newuser/Downloads/flights/the_File2.csv")
fsub<-myd... | /Flights.Rd | no_license | connor11528/Africa-flight-routes | R | false | false | 782 | rd | #My first R code
xlim <- c(-16.738281, 56.601563)
ylim <- c(-35.039321, 36.856229)
map("world", col="#191919", fill=TRUE, bg="#000000", lwd=0.05, xlim=xlim, ylim=ylim)
pal <- colorRampPalette(c("#333333", "white", "#1292db"))
colors <- pal(100)
mydata=read.csv("/Users/newuser/Downloads/flights/the_File2.csv")
fsub<-myd... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/lookup_species.R
\name{lookup_species}
\alias{lookup_species}
\title{Match species origin, growth form and type}
\usage{
lookup_species(raw_field_data, species_lookup_data)
}
\arguments{
\item{raw_field_data}{A data_frame of raw percentage co... | /man/lookup_species.Rd | no_license | egouldo/testpackage | R | false | true | 1,274 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/lookup_species.R
\name{lookup_species}
\alias{lookup_species}
\title{Match species origin, growth form and type}
\usage{
lookup_species(raw_field_data, species_lookup_data)
}
\arguments{
\item{raw_field_data}{A data_frame of raw percentage co... |
if (!exists("df", mode = "list")) source("loadData.R")
# `df` is a dataframe loaded by `loadData.R` if not already present in the
# current environment. It has the following structure:
# Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 2880 obs. of 8 variables:
# $ DateTime : POSIXct, format: "2007-02-01 00:... | /plot1.R | no_license | Randall-Data-Science/ExData_Plotting1 | R | false | false | 1,211 | r | if (!exists("df", mode = "list")) source("loadData.R")
# `df` is a dataframe loaded by `loadData.R` if not already present in the
# current environment. It has the following structure:
# Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 2880 obs. of 8 variables:
# $ DateTime : POSIXct, format: "2007-02-01 00:... |
#' @title ind_genotyped_helper
#' @description Help individual's genotyped threshold
#' @rdname ind_genotyped_helper
#' @export
#' @keywords internal
ind_genotyped_helper <- function(x) {
# x <- res$missing.genotypes.ind
# Set the breaks for the figure
max.ind <- dplyr::n_distinct(x$INDIVIDUALS)
threshold... | /R/internal.R | no_license | thierrygosselin/grur | R | false | false | 32,467 | r | #' @title ind_genotyped_helper
#' @description Help individual's genotyped threshold
#' @rdname ind_genotyped_helper
#' @export
#' @keywords internal
ind_genotyped_helper <- function(x) {
# x <- res$missing.genotypes.ind
# Set the breaks for the figure
max.ind <- dplyr::n_distinct(x$INDIVIDUALS)
threshold... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/VST.R
\name{distBioCond}
\alias{distBioCond}
\title{Quantify the Distance between Each Pair of Samples of a \code{bioCond}}
\usage{
distBioCond(x, subset = NULL, method = c("prior", "posterior", "none"),
min.var = 0, p = 2, diag = FA... | /man/distBioCond.Rd | no_license | wwang-chcn/MAnorm2 | R | false | true | 10,160 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/VST.R
\name{distBioCond}
\alias{distBioCond}
\title{Quantify the Distance between Each Pair of Samples of a \code{bioCond}}
\usage{
distBioCond(x, subset = NULL, method = c("prior", "posterior", "none"),
min.var = 0, p = 2, diag = FA... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/xx.Deprecated.functions.R
\name{loadTocc}
\alias{loadTocc}
\title{Load filtered occurrence data}
\usage{
loadTocc(...)
}
\arguments{
\item{...}{additional arguments}
}
\description{
Load filtered occurrence data from object returned by "thin_... | /man/loadTocc.Rd | no_license | HemingNM/ENMwizard | R | false | true | 334 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/xx.Deprecated.functions.R
\name{loadTocc}
\alias{loadTocc}
\title{Load filtered occurrence data}
\usage{
loadTocc(...)
}
\arguments{
\item{...}{additional arguments}
}
\description{
Load filtered occurrence data from object returned by "thin_... |
# pdx.compare.dae.to.pca
# Directory where RF code is stored
codedir <- "~/school/research/pdx/code"
# Directory where data object split.cm.data and biomarker datasets are stored
datadir <- "~/school/research/pdx/data"
# Directory where final data objects should be sent
outdir <- "~/school/research/pdx/results"... | /PDX.Code/RNA/pdx.compare.dae.to.pca.R | no_license | jasa-acs/High-Dimensional-Precision-Medicine-From-Patient-Derived-Xenografts | R | false | false | 1,074 | r | # pdx.compare.dae.to.pca
# Directory where RF code is stored
codedir <- "~/school/research/pdx/code"
# Directory where data object split.cm.data and biomarker datasets are stored
datadir <- "~/school/research/pdx/data"
# Directory where final data objects should be sent
outdir <- "~/school/research/pdx/results"... |
# Perform differential expression from limma-voom (with eBayes)
rm(list = ls())
load("readcounts_dfs.RData")
library(edgeR)
# use edgeR to remove lowly expressed genes and normalize reads for
# sequencing depth ; see code chunks above
info_e.edger <- factor(c(rep("4C", 3) , rep("4C11+", 3)))
info_e.edger <- releve... | /scripts/R/rnaseq/limma-voom-e-new-log.R | no_license | flaviaerius/methylation-data | R | false | false | 3,869 | r | # Perform differential expression from limma-voom (with eBayes)
rm(list = ls())
load("readcounts_dfs.RData")
library(edgeR)
# use edgeR to remove lowly expressed genes and normalize reads for
# sequencing depth ; see code chunks above
info_e.edger <- factor(c(rep("4C", 3) , rep("4C11+", 3)))
info_e.edger <- releve... |
testlist <- list(x = structure(c(NaN, 2.54166853232633e+117, 7.27917493709237e-95, 5.72778147612284e+250, 3.33836074328217e-28, 0, 0, 0, 0, 0, 0, 0), .Dim = 4:3))
result <- do.call(multivariance:::doubleCenterBiasCorrected,testlist)
str(result) | /multivariance/inst/testfiles/doubleCenterBiasCorrected/libFuzzer_doubleCenterBiasCorrected/doubleCenterBiasCorrected_valgrind_files/1612884236-test.R | no_license | akhikolla/updatedatatype-list3 | R | false | false | 246 | r | testlist <- list(x = structure(c(NaN, 2.54166853232633e+117, 7.27917493709237e-95, 5.72778147612284e+250, 3.33836074328217e-28, 0, 0, 0, 0, 0, 0, 0), .Dim = 4:3))
result <- do.call(multivariance:::doubleCenterBiasCorrected,testlist)
str(result) |
# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
library(data.table)
#############benchmark 85
set.seed(14592)
dat <- data.frame(
vial_id = 1:6,
band = sample(0:2, 6, replace = TRUE),
non_spec = sample(0:2, 6, replace = TRUE),
reads = r... | /R73.R | permissive | boyland-pf/MorpheusData | R | false | false | 1,304 | r | # making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
library(data.table)
#############benchmark 85
set.seed(14592)
dat <- data.frame(
vial_id = 1:6,
band = sample(0:2, 6, replace = TRUE),
non_spec = sample(0:2, 6, replace = TRUE),
reads = r... |
"nEvents" <- function(hr = .6, alpha = .025, beta = .1, ratio = 1, sided = 1, hr0 = 1, n = 0, tbl = FALSE)
{ if (sided != 1 && sided != 2) stop("sided must be 1 or 2")
c <- sqrt(ratio) / (1 + ratio)
delta <- -c * (log(hr) - log(hr0))
if (n[1] == 0)
{ n <- (qnorm(1-alpha/sided)+qnorm(1-beta))^2... | /gsDesign/R/nEvents.R | no_license | ingted/R-Examples | R | false | false | 1,399 | r | "nEvents" <- function(hr = .6, alpha = .025, beta = .1, ratio = 1, sided = 1, hr0 = 1, n = 0, tbl = FALSE)
{ if (sided != 1 && sided != 2) stop("sided must be 1 or 2")
c <- sqrt(ratio) / (1 + ratio)
delta <- -c * (log(hr) - log(hr0))
if (n[1] == 0)
{ n <- (qnorm(1-alpha/sided)+qnorm(1-beta))^2... |
# Page 58
curve( sin(1/x), from=-4/pi, to=4/pi, col="blue", n=10000, add=TRUE)
abline(v = c(-2/pi,-1/pi, 1/pi, 2/pi), lty=2, col="red" )
abline(h=0, col="black")
| /Calculus/R/Example-02-1-07.r | no_license | AppliedStat/class | R | false | false | 169 | r |
# Page 58
curve( sin(1/x), from=-4/pi, to=4/pi, col="blue", n=10000, add=TRUE)
abline(v = c(-2/pi,-1/pi, 1/pi, 2/pi), lty=2, col="red" )
abline(h=0, col="black")
|
setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source("../../../scripts/h2o-r-test-setup.R")
test.automl.documentation.suite <- function() {
r_demo <- function() {
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate_hf <- h2o.uploadFile(path = prostate_p... | /h2o-r/tests/testdir_algos/automl/runit_automl_demo_for_api_documentation.R | permissive | h2oai/h2o-3 | R | false | false | 676 | r | setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source("../../../scripts/h2o-r-test-setup.R")
test.automl.documentation.suite <- function() {
r_demo <- function() {
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate_hf <- h2o.uploadFile(path = prostate_p... |
#'Calculate the analytic steady state concentration for model pbtk.
#'
#'This function calculates the analytic steady state plasma or venous blood
#'concentrations as a result of infusion dosing.
#'
#'@param chem.name Either the chemical name, CAS number, or the parameters must
#'be specified.
#'@param chem.cas Eithe... | /R/calc_analytic_css_pbtk.R | no_license | bellsha/CompTox-ExpoCast-httk | R | false | false | 6,997 | r | #'Calculate the analytic steady state concentration for model pbtk.
#'
#'This function calculates the analytic steady state plasma or venous blood
#'concentrations as a result of infusion dosing.
#'
#'@param chem.name Either the chemical name, CAS number, or the parameters must
#'be specified.
#'@param chem.cas Eithe... |
#' Equation 7
#'
#' @description Equation 7 from Montagnes et al (2008) citing Schoolfield et al. (1981)
#'
#' @param temp temperature (in Celsius)
#' @param rate rate measurement
#' @param augment logical wether the dataset with fits should be returned instead of the parameter values
#' @param return_fit logical wethe... | /R/equ7.R | no_license | padpadpadpad/temperatureresponse | R | false | false | 2,164 | r | #' Equation 7
#'
#' @description Equation 7 from Montagnes et al (2008) citing Schoolfield et al. (1981)
#'
#' @param temp temperature (in Celsius)
#' @param rate rate measurement
#' @param augment logical wether the dataset with fits should be returned instead of the parameter values
#' @param return_fit logical wethe... |
check_ia <- function(data) {
# Check if PupilPre is installed
#.check_for_PupilPre(type="NotAvailable")
# Check right eye
Rias <- data %>%
rename(RIGHT_IA_ID = RIGHT_INTEREST_AREA_ID,
RIGHT_IA_LABEL = RIGHT_INTEREST_AREA_LABEL) %>%
group_by(RIGHT_IA_LABEL, RIGHT_IA_ID) %>%
... | /R/check_ia.R | no_license | Turner-JA/EyetrackingWA | R | false | false | 3,814 | r | check_ia <- function(data) {
# Check if PupilPre is installed
#.check_for_PupilPre(type="NotAvailable")
# Check right eye
Rias <- data %>%
rename(RIGHT_IA_ID = RIGHT_INTEREST_AREA_ID,
RIGHT_IA_LABEL = RIGHT_INTEREST_AREA_LABEL) %>%
group_by(RIGHT_IA_LABEL, RIGHT_IA_ID) %>%
... |
head1 = function(filename, rows) {
data = read.table(file = filename, sep= ",", header = TRUE, stringsAsFactors = FALSE)
hrows = data[1:rows, ]
return(print(h_rows))
}
head1("wages.csv", 5)
#Part 2
iris_data <- read.table(file = "iris.csv", sep= ",", header = TRUE, stringsAsFactors = FALSE)
print(tail(iris_data... | /ex7.R | no_license | aliyevND/Biocomp_tutorial9 | R | false | false | 879 | r | head1 = function(filename, rows) {
data = read.table(file = filename, sep= ",", header = TRUE, stringsAsFactors = FALSE)
hrows = data[1:rows, ]
return(print(h_rows))
}
head1("wages.csv", 5)
#Part 2
iris_data <- read.table(file = "iris.csv", sep= ",", header = TRUE, stringsAsFactors = FALSE)
print(tail(iris_data... |
# HH MA example - customer
#install.packages("amap")
library(amap)
##Read the data in the file
url = 'https://docs.google.com/spreadsheets/d/1PWWoMqE5o3ChwJbpexeeYkW6p4BHL9hubVb1fkKSBgA/edit#gid=2073914016'
library(gsheet)
data = as.data.frame(gsheet2tbl(url))
str(data)
head(data)
names(data)
summary(data)
str(data)... | /clusteringLive.R | no_license | abani013/analytics1 | R | false | false | 1,123 | r | # HH MA example - customer
#install.packages("amap")
library(amap)
##Read the data in the file
url = 'https://docs.google.com/spreadsheets/d/1PWWoMqE5o3ChwJbpexeeYkW6p4BHL9hubVb1fkKSBgA/edit#gid=2073914016'
library(gsheet)
data = as.data.frame(gsheet2tbl(url))
str(data)
head(data)
names(data)
summary(data)
str(data)... |
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