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 |
|---|---|---|---|---|---|---|---|---|---|
library(zoo)
library(dplyr)
library(dplR)
library(lubridate)
library(ggplot2)
library(scales)
# sourcedata had to be correctly reformatted to tab deliminted. Originally downloaded from IMR comes as fixed width.
# make list of file names
fnames = list.files('Ingoy Station (feb18)/')
# read in and paste all data toge... | /read_data.R | no_license | yasureyoubetchya/IngoyStation | R | false | false | 1,298 | r | library(zoo)
library(dplyr)
library(dplR)
library(lubridate)
library(ggplot2)
library(scales)
# sourcedata had to be correctly reformatted to tab deliminted. Originally downloaded from IMR comes as fixed width.
# make list of file names
fnames = list.files('Ingoy Station (feb18)/')
# read in and paste all data toge... |
obsolete <- function()
{
pheatmap(rxc,
color = col,
legend = TRUE,
main = "",
angle_col = "315",
filename = "INF1_pQTL_immune_qtl.png",
width = 17,
height = 11,
treeheight_row = 100,
treeheigh_col = 100,
cell... | /rsid/pqtlGWAS-defunct.R | no_license | jinghuazhao/INF | R | false | false | 4,832 | r | obsolete <- function()
{
pheatmap(rxc,
color = col,
legend = TRUE,
main = "",
angle_col = "315",
filename = "INF1_pQTL_immune_qtl.png",
width = 17,
height = 11,
treeheight_row = 100,
treeheigh_col = 100,
cell... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/kinesis_operations.R
\name{kinesis_describe_limits}
\alias{kinesis_describe_limits}
\title{Describes the shard limits and usage for the account}
\usage{
kinesis_describe_limits()
}
\description{
Describes the shard limits and usage for the ac... | /paws/man/kinesis_describe_limits.Rd | permissive | johnnytommy/paws | R | false | true | 585 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/kinesis_operations.R
\name{kinesis_describe_limits}
\alias{kinesis_describe_limits}
\title{Describes the shard limits and usage for the account}
\usage{
kinesis_describe_limits()
}
\description{
Describes the shard limits and usage for the ac... |
context("kinesisvideo")
svc <- paws::kinesisvideo()
test_that("describe_stream", {
expect_error(svc$describe_stream(), NA)
})
test_that("list_streams", {
expect_error(svc$list_streams(), NA)
})
test_that("list_streams", {
expect_error(svc$list_streams(MaxResults = 20), NA)
})
test_that("list_tags_for_stream"... | /paws/tests/testthat/test_kinesisvideo.R | permissive | peoplecure/paws | R | false | false | 374 | r | context("kinesisvideo")
svc <- paws::kinesisvideo()
test_that("describe_stream", {
expect_error(svc$describe_stream(), NA)
})
test_that("list_streams", {
expect_error(svc$list_streams(), NA)
})
test_that("list_streams", {
expect_error(svc$list_streams(MaxResults = 20), NA)
})
test_that("list_tags_for_stream"... |
#############################################################################
#
# XLConnect
# Copyright (C) 2010-2017 Mirai Solutions GmbH
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation... | /inst/unitTests/runit.workbook.getBoundingBox.R | no_license | GSuvorov/xlconnect | R | false | false | 3,698 | r | #############################################################################
#
# XLConnect
# Copyright (C) 2010-2017 Mirai Solutions GmbH
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation... |
library(FSelector)
## generate prediction model (adapting from old pathipred) 2015-10
get.prediction.model <- function(prettyways.matrix, exp.design, type, k, filter_paths=F) {
## pre-process data
cat("Removing paths without variability...\n")
m <- t(remove.novar.paths(prettyways.matrix))
ed <- sapply(rownames... | /code_develop/predictor/predict.r | no_license | martahidalgo/hpConstructor | R | false | false | 8,087 | r | library(FSelector)
## generate prediction model (adapting from old pathipred) 2015-10
get.prediction.model <- function(prettyways.matrix, exp.design, type, k, filter_paths=F) {
## pre-process data
cat("Removing paths without variability...\n")
m <- t(remove.novar.paths(prettyways.matrix))
ed <- sapply(rownames... |
\name{sdfPLA}
\alias{sdfPLA}
\title{
Spectral density function for PLA
}
\description{
Computes the spectral density function for the PLA model with parameter a
at the Fourier frequencies, 2*Pi*j/n, j=1,...,[n/2],
where n is the length of the time series.
The evaluation is very fast. Bivariate interpolation ... | /man/sdfPLA.Rd | no_license | cran/FGN | R | false | false | 864 | rd | \name{sdfPLA}
\alias{sdfPLA}
\title{
Spectral density function for PLA
}
\description{
Computes the spectral density function for the PLA model with parameter a
at the Fourier frequencies, 2*Pi*j/n, j=1,...,[n/2],
where n is the length of the time series.
The evaluation is very fast. Bivariate interpolation ... |
context("Test all plots")
pmxClassHelpers <- test_pmxClass_helpers()
test_that("We can call all pmx_plot_xx with success", {
ctr <- pmxClassHelpers$ctr
pmx_plots <- ctr %>% plot_names()
pmx_function_plots <- sprintf("pmx_plot_%s", pmx_plots)
res <- lapply(
pmx_function_plots,
function(fun) {
is_... | /tests/testthat/test-pmx-all-plots.R | no_license | csetraynor/ggPMX | R | false | false | 660 | r | context("Test all plots")
pmxClassHelpers <- test_pmxClass_helpers()
test_that("We can call all pmx_plot_xx with success", {
ctr <- pmxClassHelpers$ctr
pmx_plots <- ctr %>% plot_names()
pmx_function_plots <- sprintf("pmx_plot_%s", pmx_plots)
res <- lapply(
pmx_function_plots,
function(fun) {
is_... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/visTree.R
\name{visTree}
\alias{visTree}
\title{Visualize Recursive Partitioning and Regression Trees (rpart object)}
\usage{
visTree(object, main = "", submain = "", footer = "", direction = "UD",
fallenLeaves = FALSE, rules = TRUE, simpli... | /man/visTree.Rd | no_license | vanradd/visNetwork | R | false | true | 6,142 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/visTree.R
\name{visTree}
\alias{visTree}
\title{Visualize Recursive Partitioning and Regression Trees (rpart object)}
\usage{
visTree(object, main = "", submain = "", footer = "", direction = "UD",
fallenLeaves = FALSE, rules = TRUE, simpli... |
##Performing K-folds cross validation
library(randomForest)
library(rcdk)
library(ROCR)
##Reading the mutagen dataset
dat1<-read.csv("mutagen.txt",sep="\t",header=F)
smi <-lapply(as.character(dat1$V1),parse.smiles)
cmp.fp<-vector("list",nrow(dat1))
## generate fingerprints
for (i in 1:nrow(dat1)){
cmp.fp[i]<-lapp... | /crossvalidation.R | no_license | nkkchem/CheminfoR | R | false | false | 1,327 | r | ##Performing K-folds cross validation
library(randomForest)
library(rcdk)
library(ROCR)
##Reading the mutagen dataset
dat1<-read.csv("mutagen.txt",sep="\t",header=F)
smi <-lapply(as.character(dat1$V1),parse.smiles)
cmp.fp<-vector("list",nrow(dat1))
## generate fingerprints
for (i in 1:nrow(dat1)){
cmp.fp[i]<-lapp... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/hr_.R
\name{hr_}
\alias{hr_}
\title{Create a horizontal rule}
\usage{
hr_(..., id = NULL, class = NULL, global = NULL)
}
\arguments{
\item{...}{a collection of HTML objects, textual
elements (as bare text or Markdown-styled text),
arbitrary a... | /man/hr_.Rd | permissive | rich-iannone/hyper | R | false | true | 2,254 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/hr_.R
\name{hr_}
\alias{hr_}
\title{Create a horizontal rule}
\usage{
hr_(..., id = NULL, class = NULL, global = NULL)
}
\arguments{
\item{...}{a collection of HTML objects, textual
elements (as bare text or Markdown-styled text),
arbitrary a... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/get_region_from_coordinates.R
\name{get_region_from_coordinates}
\alias{get_region_from_coordinates}
\title{Return the geographci region of a set of coordinates according to administrative boundaries.}
\usage{
get_region_from_coordinates(obj,... | /man/get_region_from_coordinates.Rd | no_license | matteodefelice/panas | R | false | true | 1,683 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/get_region_from_coordinates.R
\name{get_region_from_coordinates}
\alias{get_region_from_coordinates}
\title{Return the geographci region of a set of coordinates according to administrative boundaries.}
\usage{
get_region_from_coordinates(obj,... |
library(data.table)
library(xgboost)
library(Metrics)
library(Matrix)
library(mice)
library(plyr)
library(dplyr)
library(tidyr)
library(ggplot2)
#set working directory
setwd('/users/thesmithfamily/desktop/kaggle/ames')
#define submission file for later
SUBMISSION = "/users/thesmithfamily/desktop/kaggle/ames/sample_... | /Kaggle Housing XGBoost.R | no_license | smithjph/House-Prices-Machine-Learning | R | false | false | 20,611 | r | library(data.table)
library(xgboost)
library(Metrics)
library(Matrix)
library(mice)
library(plyr)
library(dplyr)
library(tidyr)
library(ggplot2)
#set working directory
setwd('/users/thesmithfamily/desktop/kaggle/ames')
#define submission file for later
SUBMISSION = "/users/thesmithfamily/desktop/kaggle/ames/sample_... |
#' Read PLINK binary data
#'
#' Read PLINK binary data and save in gData format. This is a wrapper around
#' \code{\link[snpStats]{read.plink}} in the Bioconductor package
#' \code{snpStats}. This package needs to be installed for the function to
#' work.
#'
#' @param bed The name of the file containing t... | /R/readPlink.R | no_license | cran/statgenGWAS | R | false | false | 1,606 | r | #' Read PLINK binary data
#'
#' Read PLINK binary data and save in gData format. This is a wrapper around
#' \code{\link[snpStats]{read.plink}} in the Bioconductor package
#' \code{snpStats}. This package needs to be installed for the function to
#' work.
#'
#' @param bed The name of the file containing t... |
#
# lohboot.R
#
# $Revision: 1.13 $ $Date: 2014/10/08 10:25:26 $
#
# Loh's bootstrap CI's for local pcf, local K etc
#
lohboot <-
function(X,
fun=c("pcf", "Kest", "Lest", "pcfinhom", "Kinhom", "Linhom"),
..., nsim=200, confidence=0.95, global=FALSE, type=7) {
stopifnot(is.ppp(X))
fun.n... | /R/lohboot.R | no_license | mirca/spatstat | R | false | false | 4,014 | r | #
# lohboot.R
#
# $Revision: 1.13 $ $Date: 2014/10/08 10:25:26 $
#
# Loh's bootstrap CI's for local pcf, local K etc
#
lohboot <-
function(X,
fun=c("pcf", "Kest", "Lest", "pcfinhom", "Kinhom", "Linhom"),
..., nsim=200, confidence=0.95, global=FALSE, type=7) {
stopifnot(is.ppp(X))
fun.n... |
#!
pointspat<-function(x=NULL,y=NULL,yvar=NULL,yvar1=NULL,ydqc=NULL,xvar=NULL,brk=NULL,col=NULL,
namefileout=NULL,mtxt=NULL,mtxt1=NULL,orog=NULL,pos="bottomright",
xl=NULL,yl=NULL,bnd=NULL,cx=NULL,colext=NULL,
yvartext=NULL,yvartextcex=NULL,xvar.orog=NULL,
... | /lib/Bspat_plot.R | no_license | congca/seNorge2 | R | false | false | 24,322 | r | #!
pointspat<-function(x=NULL,y=NULL,yvar=NULL,yvar1=NULL,ydqc=NULL,xvar=NULL,brk=NULL,col=NULL,
namefileout=NULL,mtxt=NULL,mtxt1=NULL,orog=NULL,pos="bottomright",
xl=NULL,yl=NULL,bnd=NULL,cx=NULL,colext=NULL,
yvartext=NULL,yvartextcex=NULL,xvar.orog=NULL,
... |
#==============================================================================
# Author: Zachary M. Smith
# Created: 3/13/2017
# Updated: 06/13/2017
# Maintained: Zachary M. Smith
# Purpose: Import and prepare watershed characteristic data.
#=============================================================================... | /prep/prep_metrics.R | no_license | zsmith27/Impervious_Cover | R | false | false | 3,563 | r | #==============================================================================
# Author: Zachary M. Smith
# Created: 3/13/2017
# Updated: 06/13/2017
# Maintained: Zachary M. Smith
# Purpose: Import and prepare watershed characteristic data.
#=============================================================================... |
test_that("When 'bulkDownloading' set to FALSE, 'DownloadDEE2Data' function
could get the same data for all given SRR accessions as when downloaded
for each accessions seperately using DEE2 legacy download", {
SRRvec = c("SRR1783836", "SRR1783837", "SRR1783838", "SRR1999221",
... | /tests/testthat/test.dataDownload.R | no_license | uilnauyis/homosapien-DEE2-data | R | false | false | 1,963 | r | test_that("When 'bulkDownloading' set to FALSE, 'DownloadDEE2Data' function
could get the same data for all given SRR accessions as when downloaded
for each accessions seperately using DEE2 legacy download", {
SRRvec = c("SRR1783836", "SRR1783837", "SRR1783838", "SRR1999221",
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/write_parms.r
\name{write_parms}
\alias{write_parms}
\title{Write parameter file}
\usage{
write_parms(parm_list, file_name, file_dir = "./")
}
\arguments{
\item{parm_list}{(required) named list of parameters to record}
\item{file_name}{(requ... | /CAMM/man/write_parms.Rd | no_license | jescoyle/CAMM | R | false | true | 994 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/write_parms.r
\name{write_parms}
\alias{write_parms}
\title{Write parameter file}
\usage{
write_parms(parm_list, file_name, file_dir = "./")
}
\arguments{
\item{parm_list}{(required) named list of parameters to record}
\item{file_name}{(requ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/EM.R
\name{EM.M.W}
\alias{EM.M.W}
\title{Maximization step for W}
\usage{
EM.M.W(Xc, sigSq, V, Vvar, K)
}
\description{
Maximization step for W
}
| /man/EM.M.W.Rd | permissive | mattdneal/stpca | R | false | true | 224 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/EM.R
\name{EM.M.W}
\alias{EM.M.W}
\title{Maximization step for W}
\usage{
EM.M.W(Xc, sigSq, V, Vvar, K)
}
\description{
Maximization step for W
}
|
#######################################################################
############################## PRÁCTICA 1 #############################
#######################################################################
#################### Tipos de variables (atómicas) ####################
# 1. Caracter (character)
... | /practica_1.R | no_license | MemLem/R-CURSO | R | false | false | 2,866 | r | #######################################################################
############################## PRÁCTICA 1 #############################
#######################################################################
#################### Tipos de variables (atómicas) ####################
# 1. Caracter (character)
... |
## Programming Assignment 2: This function use Lexical Scoping of R
## makeCacheMateix function
makeCacheMatrix <- function(x = matrix()) {
m <- NULL
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
setsolve <- function(solve) m <<- solve
getsolve <- function() m
... | /cachematrix.R | no_license | jugipa/ProgrammingAssignment2 | R | false | false | 698 | r | ## Programming Assignment 2: This function use Lexical Scoping of R
## makeCacheMateix function
makeCacheMatrix <- function(x = matrix()) {
m <- NULL
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
setsolve <- function(solve) m <<- solve
getsolve <- function() m
... |
library(bsts)
### Name: shorten
### Title: Shorten long names
### Aliases: Shorten
### Keywords: character
### ** Examples
Shorten(c("/usr/common/foo.tex", "/usr/common/barbarian.tex"))
# returns c("foo", "barbarian")
Shorten(c("hello", "hellobye"))
# returns c("", "bye")
Shorten(c("hello", "hello"))
... | /data/genthat_extracted_code/bsts/examples/shorten.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 451 | r | library(bsts)
### Name: shorten
### Title: Shorten long names
### Aliases: Shorten
### Keywords: character
### ** Examples
Shorten(c("/usr/common/foo.tex", "/usr/common/barbarian.tex"))
# returns c("foo", "barbarian")
Shorten(c("hello", "hellobye"))
# returns c("", "bye")
Shorten(c("hello", "hello"))
... |
library(MASS)
library(tidyverse)
library(ggplot2)
Data=iris
traindata=Data
testdata=Data
Test=testdata[,c(1,2,3,4)]
newdf <- data.frame(Sepal.Length=Test[,1],Sepal.Width=Test[,2],Petal.Length=Test[,3],Petal.Width=Test[,4])
r1=lda(Species ~ Sepal.Length + Sepal.Width + Petal.Length + Petal.Width ,data=traindata)
r2=pred... | /lda four variables.R | no_license | Bodhoditya/Iris-R-Codes | R | false | false | 1,293 | r | library(MASS)
library(tidyverse)
library(ggplot2)
Data=iris
traindata=Data
testdata=Data
Test=testdata[,c(1,2,3,4)]
newdf <- data.frame(Sepal.Length=Test[,1],Sepal.Width=Test[,2],Petal.Length=Test[,3],Petal.Width=Test[,4])
r1=lda(Species ~ Sepal.Length + Sepal.Width + Petal.Length + Petal.Width ,data=traindata)
r2=pred... |
library(BuenColors)
dt <- read.table("../data/three_comparison/TSS_scores_3channels.tsv", fill = 0, header = TRUE)
dt$pos <- 1:dim(dt)[1]
tb <- pretty_plot(fontsize = 8) + L_border() +
theme(axis.title.x=element_blank(),
axis.text.x=element_blank(),
axis.ticks.x=element_blank())
p1 <- ggplot(dt,... | /pbmc_TBNK_comparisons_asapseq/code/02_TSS_scores.R | no_license | liuxiaoping2020/asap_reproducibility | R | false | false | 900 | r | library(BuenColors)
dt <- read.table("../data/three_comparison/TSS_scores_3channels.tsv", fill = 0, header = TRUE)
dt$pos <- 1:dim(dt)[1]
tb <- pretty_plot(fontsize = 8) + L_border() +
theme(axis.title.x=element_blank(),
axis.text.x=element_blank(),
axis.ticks.x=element_blank())
p1 <- ggplot(dt,... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/discretize_xgb.R
\name{step_discretize_xgb}
\alias{step_discretize_xgb}
\alias{tidy.step_discretize_xgb}
\title{Discretize numeric variables with XgBoost}
\usage{
step_discretize_xgb(
recipe,
...,
role = NA,
trained = FALSE,
outcome... | /man/step_discretize_xgb.Rd | no_license | topepo/embed-1 | R | false | true | 4,601 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/discretize_xgb.R
\name{step_discretize_xgb}
\alias{step_discretize_xgb}
\alias{tidy.step_discretize_xgb}
\title{Discretize numeric variables with XgBoost}
\usage{
step_discretize_xgb(
recipe,
...,
role = NA,
trained = FALSE,
outcome... |
rm(list=ls())
setwd("/data2/kiemele/WGCNA/HXBbrain_forPhenogen/20141218")
library(qtl)
##Load in data
MEs <- read.cross("csv", "", "forAnalysis_MEs.csv", genotypes = c("H", "B"))
summary(MEs)
#########################
# QTL marker regression #
#########################
nphe=(nphe(MEs)-2)
out_MEs.mr <- s... | /programs/orig/EQTLanalysis.R | no_license | TabakoffLab/WGCNA | R | false | false | 1,330 | r | rm(list=ls())
setwd("/data2/kiemele/WGCNA/HXBbrain_forPhenogen/20141218")
library(qtl)
##Load in data
MEs <- read.cross("csv", "", "forAnalysis_MEs.csv", genotypes = c("H", "B"))
summary(MEs)
#########################
# QTL marker regression #
#########################
nphe=(nphe(MEs)-2)
out_MEs.mr <- s... |
#' Download Playbyplay data for NBA game
#'
#' Download and process NBA.com play-by-play data for given game and season.
#' @param game_id Game's ID in NBA.com DB
#' @param verbose Defalt TRUE - prints additional information
#'
#' @return Dataset containing data from Playbyplay pages. Play-by-play provides information ... | /R/get_playbyplay.R | no_license | PatrickChodowski/NBAr | R | false | false | 2,409 | r | #' Download Playbyplay data for NBA game
#'
#' Download and process NBA.com play-by-play data for given game and season.
#' @param game_id Game's ID in NBA.com DB
#' @param verbose Defalt TRUE - prints additional information
#'
#' @return Dataset containing data from Playbyplay pages. Play-by-play provides information ... |
#####################################################
# Some R code to get you going for the
# 2018 Melbourne Datathon
#####################################################
#install and load required libraries
#install.packages('data.table')
library(data.table)
#tell R where it can find the data
ScanOnFolderMaster <... | /code_to_get_started.R | no_license | lynnhio/MeblourneDatathon2018 | R | false | false | 3,598 | r | #####################################################
# Some R code to get you going for the
# 2018 Melbourne Datathon
#####################################################
#install and load required libraries
#install.packages('data.table')
library(data.table)
#tell R where it can find the data
ScanOnFolderMaster <... |
# ***************************************************************************************
# Library : modeltime
# Function : combine_modeltime_tables
# Created on: 2021/8/6
# URL : https://business-science.github.io/modeltime/reference/combine_modeltime_tables.html
# *******************************************... | /library/modeltime/function/workflow/combine_modeltime_tables.R | no_license | jimyanau/r-timeseries | R | false | false | 1,709 | r | # ***************************************************************************************
# Library : modeltime
# Function : combine_modeltime_tables
# Created on: 2021/8/6
# URL : https://business-science.github.io/modeltime/reference/combine_modeltime_tables.html
# *******************************************... |
#' Release package to CRAN.
#'
#' Run automated and manual tests, then ftp to CRAN.
#'
#' The package release process will:
#'
#' \itemize{
#'
#' \item Confirm that the package passes \code{R CMD check}
#' \item Ask if you've checked your code on win-builder
#' \item Confirm that news is up-to-date
#' \item Con... | /R/release.r | no_license | melissasullivan/devtools | R | false | false | 9,480 | r | #' Release package to CRAN.
#'
#' Run automated and manual tests, then ftp to CRAN.
#'
#' The package release process will:
#'
#' \itemize{
#'
#' \item Confirm that the package passes \code{R CMD check}
#' \item Ask if you've checked your code on win-builder
#' \item Confirm that news is up-to-date
#' \item Con... |
install.packages("WDI")
require(WDI)
#domestic gross product
gdp <- WDI(country = c("US", "CA", "GB", "DE", "CN", "JP", "SG", "IL"), indicator = c("NY.GDP.PCAP.CD", "NY.GDP.MKTP.CD"), start = 1960, end = 2011)
gdp
head(gdp)
names(gdp) <- c("iso2c", "Country", "Year", "PerCapGDP", "GDP")
us1 <- gdp$PerCapGDP[gdp$Country... | /Statistics/GarchVar_TS.R | no_license | piyushkumar102/R-Programs | R | false | false | 1,918 | r | install.packages("WDI")
require(WDI)
#domestic gross product
gdp <- WDI(country = c("US", "CA", "GB", "DE", "CN", "JP", "SG", "IL"), indicator = c("NY.GDP.PCAP.CD", "NY.GDP.MKTP.CD"), start = 1960, end = 2011)
gdp
head(gdp)
names(gdp) <- c("iso2c", "Country", "Year", "PerCapGDP", "GDP")
us1 <- gdp$PerCapGDP[gdp$Country... |
setwd("T:\\R\\thuc_hanh_16_4_21")
A = read.csv("Temperature.csv", header = TRUE)
trung_binh = tapply(A$Temperature, A$Month, mean, na.rm =TRUE)
trung_binh
trung_binh2 = tapply(A$Temperature, list(A$Year, A$Month), mean, na.rm =TRUE)
trung_binh2
trung_binh3 = tapply(A$Temperature, A$Month, sd, na.rm =TRUE)
trun... | /bt_vat/thuc_hanh_16_4_21/hello r.r | no_license | Klatane/bt_minhtriho_all | R | false | false | 384 | r | setwd("T:\\R\\thuc_hanh_16_4_21")
A = read.csv("Temperature.csv", header = TRUE)
trung_binh = tapply(A$Temperature, A$Month, mean, na.rm =TRUE)
trung_binh
trung_binh2 = tapply(A$Temperature, list(A$Year, A$Month), mean, na.rm =TRUE)
trung_binh2
trung_binh3 = tapply(A$Temperature, A$Month, sd, na.rm =TRUE)
trun... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ellipse.lm.R
\name{ellipse.lm}
\alias{ellipse.lm}
\title{Outline a pairwise confidence region for a linear model fit.}
\usage{
\method{ellipse}{lm}(x, which = c(1, 2), level = 0.95, t = sqrt(2 *
qf(level, 2, x$df.residual)), ...)
}
\argumen... | /man/ellipse.lm.Rd | no_license | kongdd/ellipse | R | false | true | 1,533 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ellipse.lm.R
\name{ellipse.lm}
\alias{ellipse.lm}
\title{Outline a pairwise confidence region for a linear model fit.}
\usage{
\method{ellipse}{lm}(x, which = c(1, 2), level = 0.95, t = sqrt(2 *
qf(level, 2, x$df.residual)), ...)
}
\argumen... |
#:# libraries
library(digest)
library(mlr)
library(OpenML)
library(farff)
#:# config
set.seed(1)
#:# data
dataset <- getOMLDataSet(data.name = "phoneme")
head(dataset$data)
#:# preprocessing
head(dataset$data)
#:# model
task = makeClassifTask(id = "task", data = dataset$data, target = "Class")
lrn = makeLearner("cl... | /models/openml_phoneme/classification_Class/1f57a24cda2fde4e99949eebd0aa7096/code.R | no_license | lukaszbrzozowski/CaseStudies2019S | R | false | false | 739 | r | #:# libraries
library(digest)
library(mlr)
library(OpenML)
library(farff)
#:# config
set.seed(1)
#:# data
dataset <- getOMLDataSet(data.name = "phoneme")
head(dataset$data)
#:# preprocessing
head(dataset$data)
#:# model
task = makeClassifTask(id = "task", data = dataset$data, target = "Class")
lrn = makeLearner("cl... |
salary <- c(15000, 20000, 15000, 15000, 18000, 20000)
moneyUsed <- c(16000, 15000, 10000, 20000, 10000, 15000)
names(salary) <- c("January", "February", "March", "April", "May", "June")
names(moneyUsed) <- c("January", "February", "March", "April", "May", "June")
salary
moneyUsed
totalPerMonth <- salary - m... | /Introduction to R/Personalized/3. Personalized.r | no_license | TopicosSelectos/tutoriales-2019-2-mimi1698 | R | false | false | 961 | r | salary <- c(15000, 20000, 15000, 15000, 18000, 20000)
moneyUsed <- c(16000, 15000, 10000, 20000, 10000, 15000)
names(salary) <- c("January", "February", "March", "April", "May", "June")
names(moneyUsed) <- c("January", "February", "March", "April", "May", "June")
salary
moneyUsed
totalPerMonth <- salary - m... |
context("Linear models")
test_that("Simple lm models work", {
model_simple <- lm(mpg ~ cyl + disp, data = mtcars)
mtcars$gear <- as.factor(mtcars$gear)
model_indicators <- lm(mpg ~ cyl + gear, data = mtcars)
tex <- extract_eq(model_simple)
actual <- "\\text{mpg} = \\alpha + \\beta_{1}(\\text{cyl}) + \\beta... | /tests/testthat/test-lm.R | permissive | cRistiancec/equatiomatic | R | false | false | 1,913 | r | context("Linear models")
test_that("Simple lm models work", {
model_simple <- lm(mpg ~ cyl + disp, data = mtcars)
mtcars$gear <- as.factor(mtcars$gear)
model_indicators <- lm(mpg ~ cyl + gear, data = mtcars)
tex <- extract_eq(model_simple)
actual <- "\\text{mpg} = \\alpha + \\beta_{1}(\\text{cyl}) + \\beta... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Functions.R
\name{ContFeaturesPlot}
\alias{ContFeaturesPlot}
\title{Plot of continuous features}
\usage{
ContFeaturesPlot(leadCpds, data, nrclusters = NULL, orderLab = NULL,
colorLab = NULL, cols = NULL, ylab = "features", addLegend ... | /man/ContFeaturesPlot.Rd | no_license | cran/IntClust | R | false | true | 2,634 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Functions.R
\name{ContFeaturesPlot}
\alias{ContFeaturesPlot}
\title{Plot of continuous features}
\usage{
ContFeaturesPlot(leadCpds, data, nrclusters = NULL, orderLab = NULL,
colorLab = NULL, cols = NULL, ylab = "features", addLegend ... |
# start!
## 데이터 삭제
setwd('c:/Users/USER/Desktop/문화관광 공모전/data')
library(dplyr)
library(magrittr)
d <- haven::read_sav('국민여가활동조사.sav')
forcluster <- data.frame(data.table::fread('rawdata.csv'))
forcluster%<>%mutate(본인소득=d$Q45A1)
forcluster %<>%mutate(가구소득 = forcluster$Q45A2)
for(i in 1:10498) {
if(forcluste... | /Clustering, logistic, anova.R | no_license | JinsaGalbi/Consumer-oriented-national-leisure-policy | R | false | false | 9,397 | r | # start!
## 데이터 삭제
setwd('c:/Users/USER/Desktop/문화관광 공모전/data')
library(dplyr)
library(magrittr)
d <- haven::read_sav('국민여가활동조사.sav')
forcluster <- data.frame(data.table::fread('rawdata.csv'))
forcluster%<>%mutate(본인소득=d$Q45A1)
forcluster %<>%mutate(가구소득 = forcluster$Q45A2)
for(i in 1:10498) {
if(forcluste... |
## The following code is part of the example scripts included
## in the "Soil Organic Carbon Mapping Cookbook"
## @knitr 3C-SupportVectorMachines
# load data
dat <- read.csv("data/MKD_RegMatrix.csv")
dat$LCEE10 <- as.factor(dat$LCEE10)
# dat$soilmap <- as.factor(dat$soilmap)
# explore the data structure
str(dat)
li... | /code/3C-SupportVectorMachines.R | no_license | anhnguyendepocen/SOC-Mapping-Cookbook | R | false | false | 3,364 | r | ## The following code is part of the example scripts included
## in the "Soil Organic Carbon Mapping Cookbook"
## @knitr 3C-SupportVectorMachines
# load data
dat <- read.csv("data/MKD_RegMatrix.csv")
dat$LCEE10 <- as.factor(dat$LCEE10)
# dat$soilmap <- as.factor(dat$soilmap)
# explore the data structure
str(dat)
li... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/misc.R
\name{ungrid}
\alias{ungrid}
\title{Extract (x, y, z) from (x, y, grid)}
\usage{
ungrid(x, y, grid)
}
\arguments{
\item{x}{a vector holding the x coordinates of grid.}
\item{y}{a vector holding the y coordinates of grid.}
\item{grid}... | /pkgs/oce/man/ungrid.Rd | no_license | vaguiar/EDAV_Project_2017 | R | false | true | 955 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/misc.R
\name{ungrid}
\alias{ungrid}
\title{Extract (x, y, z) from (x, y, grid)}
\usage{
ungrid(x, y, grid)
}
\arguments{
\item{x}{a vector holding the x coordinates of grid.}
\item{y}{a vector holding the y coordinates of grid.}
\item{grid}... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tree.R
\name{ggDiagnose.tree}
\alias{ggDiagnose.tree}
\title{Diagnostic plot for \code{tree} object (\code{ggplot2} based)}
\usage{
ggDiagnose.tree(x, type = c("proportional", "uniform"),
split.labels = TRUE, leaf.labels = FALSE, text.size ... | /man/ggDiagnose.tree.Rd | permissive | benjaminleroy/ggDiagnose | R | false | true | 1,669 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tree.R
\name{ggDiagnose.tree}
\alias{ggDiagnose.tree}
\title{Diagnostic plot for \code{tree} object (\code{ggplot2} based)}
\usage{
ggDiagnose.tree(x, type = c("proportional", "uniform"),
split.labels = TRUE, leaf.labels = FALSE, text.size ... |
with(afb8926f1d70741859b34cf202d7de61a, {ROOT <- 'D:/SEMOSS_v4.0.0_x64/SEMOSS_v4.0.0_x64/semosshome/db/Atadata2__3b3e4a3b-d382-4e98-9950-9b4e8b308c1c/version/80bb2a25-ac5d-47d0-abfc-b3f3811f0936';source("D:/SEMOSS_v4.0.0_x64/SEMOSS_v4.0.0_x64/semosshome/R/Recommendations/advanced_federation_blend.r");a2Hrpdwy3col1<- as... | /80bb2a25-ac5d-47d0-abfc-b3f3811f0936/R/Temp/amN97LN4trRUF.R | no_license | ayanmanna8/test | R | false | false | 850 | r | with(afb8926f1d70741859b34cf202d7de61a, {ROOT <- 'D:/SEMOSS_v4.0.0_x64/SEMOSS_v4.0.0_x64/semosshome/db/Atadata2__3b3e4a3b-d382-4e98-9950-9b4e8b308c1c/version/80bb2a25-ac5d-47d0-abfc-b3f3811f0936';source("D:/SEMOSS_v4.0.0_x64/SEMOSS_v4.0.0_x64/semosshome/R/Recommendations/advanced_federation_blend.r");a2Hrpdwy3col1<- as... |
# ------------------------------------------------------------------------
# Strongbridge scoring summaries
# ------------------------------------------------------------------------
results_dir <- "F:/Projects/Strongbridge/results/scoring/"
model_dir <- "F:/Projects/Strongbridge/results/modelling/XGBOOST_advanced/... | /scoring/02_sum_counts_across_chunks.R | no_license | jzhao0802/strongbridge | R | false | false | 4,685 | r |
# ------------------------------------------------------------------------
# Strongbridge scoring summaries
# ------------------------------------------------------------------------
results_dir <- "F:/Projects/Strongbridge/results/scoring/"
model_dir <- "F:/Projects/Strongbridge/results/modelling/XGBOOST_advanced/... |
i = 340
library(asSeq, lib="/nas02/home/w/e/weisun/R/Rlibs/")
# -------------------------------------------------------------------------
# read in the list of the SNP to be excluded
# -------------------------------------------------------------------------
setwd("/lustre/scr/w/e/weisun/TCGA/hetSNP_EA/")
files = li... | /data_preparation/R_batch3/_step2/step2_filter_asCounts.339.R | no_license | jasa-acs/Mapping-Tumor-Specific-Expression-QTLs-in-Impure-Tumor-Samples | R | false | false | 809 | r | i = 340
library(asSeq, lib="/nas02/home/w/e/weisun/R/Rlibs/")
# -------------------------------------------------------------------------
# read in the list of the SNP to be excluded
# -------------------------------------------------------------------------
setwd("/lustre/scr/w/e/weisun/TCGA/hetSNP_EA/")
files = li... |
##################################
####Orange 10 Time Series HW 2####
##################################
library(readxl)
library(lubridate)
library(tidyverse)
library(Hmisc)
library(zoo)
library(broom)
library(ggfortify)
library(uroot)
library(lmtest)
library(forecast)
library(dplyr)
library(ggplot2)
... | /Time Series/Final_data_cleaning.R | no_license | smao6/Orange_HW_10 | R | false | false | 6,434 | r | ##################################
####Orange 10 Time Series HW 2####
##################################
library(readxl)
library(lubridate)
library(tidyverse)
library(Hmisc)
library(zoo)
library(broom)
library(ggfortify)
library(uroot)
library(lmtest)
library(forecast)
library(dplyr)
library(ggplot2)
... |
#
# This is a Shiny web application. You can run the application by clicking
# the 'Run App' button above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
# Define UI for application that draws a histogram
ui <- navbarPage(
"Final Project Title",
... | /Milestone_4/app.R | no_license | BeauMeche/gov1005-recitation-week-4 | R | false | false | 6,280 | r | #
# This is a Shiny web application. You can run the application by clicking
# the 'Run App' button above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
# Define UI for application that draws a histogram
ui <- navbarPage(
"Final Project Title",
... |
#' Height (current + predicted) vs growth curves plot for males.
#'
#' This function returns a ggplot object showing the **current** and **predicted height** vs normal growth charts for american population.
#'
#' Data for growth charts was obtained from the National Center for Health Statistics.
#'
#' Please visit \url... | /R/plot_growth_male.R | permissive | CFPC-performance/matuR | R | false | false | 4,821 | r | #' Height (current + predicted) vs growth curves plot for males.
#'
#' This function returns a ggplot object showing the **current** and **predicted height** vs normal growth charts for american population.
#'
#' Data for growth charts was obtained from the National Center for Health Statistics.
#'
#' Please visit \url... |
.onAttach <-
function(libname, pkgname) {
packageStartupMessage("\nPlease cite as: \n")
packageStartupMessage(" Hlavac, Marek (2018). stargazer: Well-Formatted Regression and Summary Statistics Tables.")
packageStartupMessage(" R package version 5.2.2. https://CRAN.R-project.org/package=stargazer \n")
}
... | /R/stargazer-internal.R | no_license | Anoopsinghrawat/stargazer | R | false | false | 301,763 | r | .onAttach <-
function(libname, pkgname) {
packageStartupMessage("\nPlease cite as: \n")
packageStartupMessage(" Hlavac, Marek (2018). stargazer: Well-Formatted Regression and Summary Statistics Tables.")
packageStartupMessage(" R package version 5.2.2. https://CRAN.R-project.org/package=stargazer \n")
}
... |
library(ape)
testtree <- read.tree("1646_4.txt")
unrooted_tr <- unroot(testtree)
write.tree(unrooted_tr, file="1646_4_unrooted.txt") | /codeml_files/newick_trees_processed/1646_4/rinput.R | no_license | DaniBoo/cyanobacteria_project | R | false | false | 135 | r | library(ape)
testtree <- read.tree("1646_4.txt")
unrooted_tr <- unroot(testtree)
write.tree(unrooted_tr, file="1646_4_unrooted.txt") |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/spatial_visuals.R
\name{plotUMAP}
\alias{plotUMAP}
\title{plotUMAP}
\usage{
plotUMAP(gobject, dim_reduction_name = "umap", default_save_name = "UMAP", ...)
}
\arguments{
\item{gobject}{giotto object}
\item{dim_reduction_name}{dimension reduc... | /doc/plotUMAP.Rd | no_license | bernard2012/spatialgiotto_web | R | false | true | 3,049 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/spatial_visuals.R
\name{plotUMAP}
\alias{plotUMAP}
\title{plotUMAP}
\usage{
plotUMAP(gobject, dim_reduction_name = "umap", default_save_name = "UMAP", ...)
}
\arguments{
\item{gobject}{giotto object}
\item{dim_reduction_name}{dimension reduc... |
#' Akaike information criterion
#'
#' @description Akaike information criterion for model selection.
#'
#' @param model An object of class \code{lm}.
#'
#' @param method A character vector; specify the method to compute AIC. Valid
#' options include R, STATA and SAS.
#'
#' @details
#' AIC provides a means for model s... | /R/ols-information-criteria.R | no_license | kaushikmanikonda/olsrr | R | false | false | 14,925 | r | #' Akaike information criterion
#'
#' @description Akaike information criterion for model selection.
#'
#' @param model An object of class \code{lm}.
#'
#' @param method A character vector; specify the method to compute AIC. Valid
#' options include R, STATA and SAS.
#'
#' @details
#' AIC provides a means for model s... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/body.R
\name{body_get_wb_cols}
\alias{body_get_wb_cols}
\title{Compute the columns of the workbook which are occupied by the body}
\usage{
body_get_wb_cols(tab)
}
\arguments{
\item{tab}{The core tab object}
}
\description{
Compute the columns... | /man/body_get_wb_cols.Rd | no_license | harryprince/xltabr | R | false | true | 370 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/body.R
\name{body_get_wb_cols}
\alias{body_get_wb_cols}
\title{Compute the columns of the workbook which are occupied by the body}
\usage{
body_get_wb_cols(tab)
}
\arguments{
\item{tab}{The core tab object}
}
\description{
Compute the columns... |
testlist <- list(a = 0L, b = 0L, x = c(16722175L, 0L, 0L))
result <- do.call(grattan:::anyOutside,testlist)
str(result) | /grattan/inst/testfiles/anyOutside/libFuzzer_anyOutside/anyOutside_valgrind_files/1610131026-test.R | no_license | akhikolla/updated-only-Issues | R | false | false | 119 | r | testlist <- list(a = 0L, b = 0L, x = c(16722175L, 0L, 0L))
result <- do.call(grattan:::anyOutside,testlist)
str(result) |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/neuro_surface.R
\docType{methods}
\name{[[,NeuroSurfaceVector,numeric-method}
\alias{[[,NeuroSurfaceVector,numeric-method}
\title{extractor}
\usage{
\S4method{[[}{NeuroSurfaceVector,numeric}(x, i)
}
\arguments{
\item{x}{the object}
\item{i}{... | /man/sub-sub-NeuroSurfaceVector-numeric-method.Rd | no_license | bbuchsbaum/neurosurf | R | false | true | 361 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/neuro_surface.R
\docType{methods}
\name{[[,NeuroSurfaceVector,numeric-method}
\alias{[[,NeuroSurfaceVector,numeric-method}
\title{extractor}
\usage{
\S4method{[[}{NeuroSurfaceVector,numeric}(x, i)
}
\arguments{
\item{x}{the object}
\item{i}{... |
#### Lukas Beinhauer 08/12/20 ####
## Making various functions ##
### Attention: 'sep.objects' ist not returning separate objects at the moment. If desired,
### you can use 'list', and cycle through the elements of the list in a for loop AFTER calling
### and the function and storing the list in an object.
###
#... | /Functions.R | no_license | LBeinhauer/VariousFunctions | R | false | false | 3,374 | r | #### Lukas Beinhauer 08/12/20 ####
## Making various functions ##
### Attention: 'sep.objects' ist not returning separate objects at the moment. If desired,
### you can use 'list', and cycle through the elements of the list in a for loop AFTER calling
### and the function and storing the list in an object.
###
#... |
pollutantmean <- function(directory, pollutant, id = 1:332) {
append_df = data.frame()
for(i in id){
file = read.csv(list.files(directory)[i])
append_df = rbind(append_df, file)
}
return(mean(append_df[, paste(pollutant)], na.rm = T))
}
#Instructions can be found on the coursera website, Assigm... | /pollutantmean.R | no_license | oyafusoz/RProgrammingCoursera | R | false | false | 549 | r | pollutantmean <- function(directory, pollutant, id = 1:332) {
append_df = data.frame()
for(i in id){
file = read.csv(list.files(directory)[i])
append_df = rbind(append_df, file)
}
return(mean(append_df[, paste(pollutant)], na.rm = T))
}
#Instructions can be found on the coursera website, Assigm... |
x1 = rnorm(100, mean = 200, sd = 60)
y1 = rnorm(100, mean = 10, sd = 10)
x2 = rnorm(100, mean = 10, sd = 20)
y2 = rnorm(100, mean = 400, sd = 200)
x3 = rnorm(100, mean = 200, sd = 50)
y3 = rnorm(100, mean = 800, sd = 10)
x = as.matrix(c(x1,x2, x3))
y = as.matrix(c(y1,y2, y3))
A <- cbind(x,y)
par(mfrow ... | /MACHINE-LEARNING/LABS-progs/ann/All_Labs/7Lab_cluster/2.r | no_license | BC30138/Sem10 | R | false | false | 894 | r | x1 = rnorm(100, mean = 200, sd = 60)
y1 = rnorm(100, mean = 10, sd = 10)
x2 = rnorm(100, mean = 10, sd = 20)
y2 = rnorm(100, mean = 400, sd = 200)
x3 = rnorm(100, mean = 200, sd = 50)
y3 = rnorm(100, mean = 800, sd = 10)
x = as.matrix(c(x1,x2, x3))
y = as.matrix(c(y1,y2, y3))
A <- cbind(x,y)
par(mfrow ... |
#' Inset small plot within figure
#'
#' Inset plot with margins, background and border
#'
#' @return parameters of small plot, invisible.
#' @section Warning: setting mai etc does not work!
#' @author Berry Boessenkool, \email{berry-b@@gmx.de}, 2014
#' @seealso \code{\link{colPointsHist}} for an example of usa... | /berryFunctions/R/smallPlot.R | no_license | ingted/R-Examples | R | false | false | 4,623 | r | #' Inset small plot within figure
#'
#' Inset plot with margins, background and border
#'
#' @return parameters of small plot, invisible.
#' @section Warning: setting mai etc does not work!
#' @author Berry Boessenkool, \email{berry-b@@gmx.de}, 2014
#' @seealso \code{\link{colPointsHist}} for an example of usa... |
#' Ancestor-Descendant Relationships for Macroperforate Foraminifera, from Aze et al. (2011)
#'
#' An example dataset of ancestor-descendent relationships and first and last appearance dates for
#' a set of macroperforate Foramanifera, taken from the supplemental materials of Aze et al. (2011).
#' This dataset is inclu... | /R/macroperforateForam.R | permissive | pnovack-gottshall/paleotree | R | false | false | 13,742 | r | #' Ancestor-Descendant Relationships for Macroperforate Foraminifera, from Aze et al. (2011)
#'
#' An example dataset of ancestor-descendent relationships and first and last appearance dates for
#' a set of macroperforate Foramanifera, taken from the supplemental materials of Aze et al. (2011).
#' This dataset is inclu... |
##############################
#### Analisi multivariata ####
##############################
library(raster)
library(RStoolbox)
setwd("/Users/federicotossani/lab/")
p224r63_2011<-brick("p224r63_2011_masked.grd")
#uso brick per caricare un set multiplo di dati!
#raster invece carica un set per volta!!
p224r63_2011
#... | /R_code_PCA.r | no_license | FedericoTossani/Telerilevamento_2021 | R | false | false | 4,224 | r | ##############################
#### Analisi multivariata ####
##############################
library(raster)
library(RStoolbox)
setwd("/Users/federicotossani/lab/")
p224r63_2011<-brick("p224r63_2011_masked.grd")
#uso brick per caricare un set multiplo di dati!
#raster invece carica un set per volta!!
p224r63_2011
#... |
# testplot <- function(meansdf, xvar = "condition", yvar = "means",
# fillvar = "condition") {
# p <- ggplot(meansdf,
# aes_string(x = xvar, y= yvar, fill = fillvar)) +
# geom_bar(position="dodge", stat="identity")
# }
#
#
#
# testplot <- function(meansdf)
# {
# scale <- 0.... | /R/scrub_code.R | no_license | moj-analytical-services/las_rap_code_library | R | false | false | 642 | r | # testplot <- function(meansdf, xvar = "condition", yvar = "means",
# fillvar = "condition") {
# p <- ggplot(meansdf,
# aes_string(x = xvar, y= yvar, fill = fillvar)) +
# geom_bar(position="dodge", stat="identity")
# }
#
#
#
# testplot <- function(meansdf)
# {
# scale <- 0.... |
# This file is focusing on PCA and persistant homology for iris data
library(devtools)
library(TDA)
library(TDAmapper)
library(ggplot2)
library("FactoMineR")
library("factoextra")
# Read data
data <- read.table("data/Iris.csv", header=TRUE, sep=",", dec=".", quote = "\"", na.strings = "NA")
data <- data[, 2:5] # Pick ... | /R/iris_pca.R | no_license | bmagnette/AstraZeneca_TDA | R | false | false | 2,337 | r | # This file is focusing on PCA and persistant homology for iris data
library(devtools)
library(TDA)
library(TDAmapper)
library(ggplot2)
library("FactoMineR")
library("factoextra")
# Read data
data <- read.table("data/Iris.csv", header=TRUE, sep=",", dec=".", quote = "\"", na.strings = "NA")
data <- data[, 2:5] # Pick ... |
\name{nonparboot-methods}
\docType{methods}
\alias{nonparboot}
\alias{nonparboot-methods}
\alias{nonparboot,unmarkedFit-method}
\alias{nonparboot,unmarkedFitColExt-method}
\alias{nonparboot,unmarkedFitDS-method}
\alias{nonparboot,unmarkedFitMPois-method}
\alias{nonparboot,unmarkedFitOccu-method}
\alias{nonparboot,unmar... | /man/nonparboot-methods.Rd | no_license | buco/unmarked | R | false | false | 2,621 | rd | \name{nonparboot-methods}
\docType{methods}
\alias{nonparboot}
\alias{nonparboot-methods}
\alias{nonparboot,unmarkedFit-method}
\alias{nonparboot,unmarkedFitColExt-method}
\alias{nonparboot,unmarkedFitDS-method}
\alias{nonparboot,unmarkedFitMPois-method}
\alias{nonparboot,unmarkedFitOccu-method}
\alias{nonparboot,unmar... |
# Read in files
rawdata<- read.csv("MERGED2016_17_PP.csv",stringsAsFactors = F)
dim(rawdata)
rankingdata<- read.csv("ForbesRank.csv")
dim(rankingdata)
variables<- c("UNITID","OPEID","OPEID6","INSTNM","CITY","STABBR","ZIP","INSTURL","LATITUDE",
"LONGITUDE","ADM_RATE","SATVR25","SATVR75","SATMT25","SATMT75"... | /R Shiny-College Recommendation System/doc/Interactive map/DataCleaning.R | no_license | stella-chen28/My-repository | R | false | false | 3,041 | r | # Read in files
rawdata<- read.csv("MERGED2016_17_PP.csv",stringsAsFactors = F)
dim(rawdata)
rankingdata<- read.csv("ForbesRank.csv")
dim(rankingdata)
variables<- c("UNITID","OPEID","OPEID6","INSTNM","CITY","STABBR","ZIP","INSTURL","LATITUDE",
"LONGITUDE","ADM_RATE","SATVR25","SATVR75","SATMT25","SATMT75"... |
##############################################
#
# General description:
#
# The following script loads standard packages and functions to be used in
# the L1polymORF project
# Input:
#
#
# Output:
#
# :
##############################################
###################################... | /Scripts/_Start_L1polymORF.R | no_license | hdohna/L1polymORFgit | R | false | false | 1,014 | r | ##############################################
#
# General description:
#
# The following script loads standard packages and functions to be used in
# the L1polymORF project
# Input:
#
#
# Output:
#
# :
##############################################
###################################... |
library(spatstat)
### Name: lohboot
### Title: Bootstrap Confidence Bands for Summary Function
### Aliases: lohboot
### Keywords: spatial nonparametric
### ** Examples
p <- lohboot(simdat, stoyan=0.5)
plot(p)
| /data/genthat_extracted_code/spatstat/examples/lohboot.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 220 | r | library(spatstat)
### Name: lohboot
### Title: Bootstrap Confidence Bands for Summary Function
### Aliases: lohboot
### Keywords: spatial nonparametric
### ** Examples
p <- lohboot(simdat, stoyan=0.5)
plot(p)
|
# Load the packages we plan to use
library(magrittr)
library(dplyr)
library(tidyr)
library(reshape2)
library(ggplot2)
library(shiny)
# Read the data
read.csv("CSV data/K12headcount_salary.csv", header=TRUE, strip.white = TRUE) -> staffing
# Checking the numbers in K12headcount_salary.csv vs. K12headcount_school.csv
#... | /staffing.r | no_license | AlexReutter/VT-Schools | R | false | false | 3,634 | r | # Load the packages we plan to use
library(magrittr)
library(dplyr)
library(tidyr)
library(reshape2)
library(ggplot2)
library(shiny)
# Read the data
read.csv("CSV data/K12headcount_salary.csv", header=TRUE, strip.white = TRUE) -> staffing
# Checking the numbers in K12headcount_salary.csv vs. K12headcount_school.csv
#... |
setwd("U:/gwdata")
rm(list=ls())
library(xlsx)
library(sandwich)
source('R/goos.r')
source('R/feval.r')
source('R/supfun.r')
#############################################################
############## Goyal-Welch 2008 Data #######################
#############################################################
# shee... | /R/forecast excess returns.R | permissive | anwenyin/ooscombo | R | false | false | 6,821 | r | setwd("U:/gwdata")
rm(list=ls())
library(xlsx)
library(sandwich)
source('R/goos.r')
source('R/feval.r')
source('R/supfun.r')
#############################################################
############## Goyal-Welch 2008 Data #######################
#############################################################
# shee... |
#' @export
load_redshift <- function(stock) {
rs_conn <- tastytrade::redshift_connect("TASTYTRADE")
if (!RJDBC::dbExistsTable(rs_conn, stock)) {
RJDBC::dbSendUpdate(rs_conn,
paste0("create table if not exists ", stock, "(
symbol varchar(5) not null,
quotedate date,
cal... | /R/load_redshift.R | no_license | IanMadlenya/tastytrade | R | false | false | 1,397 | r | #' @export
load_redshift <- function(stock) {
rs_conn <- tastytrade::redshift_connect("TASTYTRADE")
if (!RJDBC::dbExistsTable(rs_conn, stock)) {
RJDBC::dbSendUpdate(rs_conn,
paste0("create table if not exists ", stock, "(
symbol varchar(5) not null,
quotedate date,
cal... |
library(tm) ; library(wordcloud2)
library(dplyr)
rmwords <- c("a", "the", "A", "The", "and","but","And", "But",
"is", "are","Is","Are","was", "were","Was", "Were",
"of", "in","this","that", "I", )
sub <- function (c){
a <- c
a <- lapply(a, function(x) tolower(a))
for (i in rmwords) {
... | /Linux_Hadoop/Hadoop/unfinished_RWordcloud.R | no_license | psm9619/SQL-Linux-Hadoop | R | false | false | 1,285 | r | library(tm) ; library(wordcloud2)
library(dplyr)
rmwords <- c("a", "the", "A", "The", "and","but","And", "But",
"is", "are","Is","Are","was", "were","Was", "Were",
"of", "in","this","that", "I", )
sub <- function (c){
a <- c
a <- lapply(a, function(x) tolower(a))
for (i in rmwords) {
... |
# Momente einer Verteilung für Daten interessant
# Passen die Daten zu meiner Verteilung?
# Aufgabe 1 ####################################################################
X <- rnorm(10000, mean = 1, sd = sqrt(2))
U <- runif(10000, -1 + x, 1 + x)
Y <- X + U
# mean
emp.mean1 <- mean(Y)
emp.mean2 <- mean(X) + mean(Y)
p... | /ue8.R | no_license | rgr02/Programmieren-mit-Statistischer-Software | R | false | false | 2,150 | r | # Momente einer Verteilung für Daten interessant
# Passen die Daten zu meiner Verteilung?
# Aufgabe 1 ####################################################################
X <- rnorm(10000, mean = 1, sd = sqrt(2))
U <- runif(10000, -1 + x, 1 + x)
Y <- X + U
# mean
emp.mean1 <- mean(Y)
emp.mean2 <- mean(X) + mean(Y)
p... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mergeTerms_Function.R
\name{mergeTerms}
\alias{mergeTerms}
\title{Transform, merge, separate, or delete terms from a corpus}
\usage{
mergeTerms(data.td, term, term.replacement)
}
\arguments{
\item{data.td}{A tidy dataset}
\item{term}{A user ... | /man/mergeTerms.Rd | no_license | JSmith146/CoRpEx | R | false | true | 1,411 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mergeTerms_Function.R
\name{mergeTerms}
\alias{mergeTerms}
\title{Transform, merge, separate, or delete terms from a corpus}
\usage{
mergeTerms(data.td, term, term.replacement)
}
\arguments{
\item{data.td}{A tidy dataset}
\item{term}{A user ... |
library(tidyverse)
library(pgirmess)
almost_sas <- function(aov.results){
aov_residuals <- residuals(aov.results)
par(mfrow=c(2,2))
plot(aov.results, which=1)
hist(aov_residuals)
plot(aov.results, which=2)
plot(density(aov_residuals))
}
HDL <- c(54, 43, 38, 30, 61, 53, 35, 34, 39, 46, 50, 35,
61... | /15-7 Kruskal-Wallis.R | no_license | kaylinregan/STA4173 | R | false | false | 895 | r | library(tidyverse)
library(pgirmess)
almost_sas <- function(aov.results){
aov_residuals <- residuals(aov.results)
par(mfrow=c(2,2))
plot(aov.results, which=1)
hist(aov_residuals)
plot(aov.results, which=2)
plot(density(aov_residuals))
}
HDL <- c(54, 43, 38, 30, 61, 53, 35, 34, 39, 46, 50, 35,
61... |
#' Engines of other languages
#'
#' This object controls how to execute the code from languages other than R
#' (when the chunk option \code{engine} is not \code{'R'}). Each component in
#' this object is a function that takes a list of current chunk options
#' (including the source code) and returns a character string... | /R/engine.R | no_license | Honglongwu/knitr | R | false | false | 1,735 | r | #' Engines of other languages
#'
#' This object controls how to execute the code from languages other than R
#' (when the chunk option \code{engine} is not \code{'R'}). Each component in
#' this object is a function that takes a list of current chunk options
#' (including the source code) and returns a character string... |
source('/datascience/projects/statisticallyfit/github/learningstatistics/RStatistics/StatsFormulas.R')
critique <- matrix(c(24,8,10,8,13,9,13,11,64),nrow=3,
dimnames=list("Siskel"=c("con","mixed","pro"),
"Ebert"=c("con","mixed","pro")))
critique
LikelihoodRatioTest... | /UniPennState_GeneralizedLinearModels/TwoWayTable/Agreement_Kappa_Movie.R | no_license | statisticallyfit/RStatistics | R | false | false | 388 | r | source('/datascience/projects/statisticallyfit/github/learningstatistics/RStatistics/StatsFormulas.R')
critique <- matrix(c(24,8,10,8,13,9,13,11,64),nrow=3,
dimnames=list("Siskel"=c("con","mixed","pro"),
"Ebert"=c("con","mixed","pro")))
critique
LikelihoodRatioTest... |
#' @title Search Author Content on SCOPUS
#'
#' @description Searches SCOPUS to get information about documents
#' on an author.
#' Note, \code{author_list} returns a list of the entries from
#' \code{author_search},
#' but allows you to put in a name.
#' @param au_id Author ID number. Overrides any first/last name ar... | /R/author_df.R | no_license | cran/rscopus | R | false | false | 7,166 | r |
#' @title Search Author Content on SCOPUS
#'
#' @description Searches SCOPUS to get information about documents
#' on an author.
#' Note, \code{author_list} returns a list of the entries from
#' \code{author_search},
#' but allows you to put in a name.
#' @param au_id Author ID number. Overrides any first/last name ar... |
ApparrentCindex <- pec::cindex(list("Cox X1"=cox1,
"Cox X2"=cox2,
"Cox X1+X2"=cox12,
"RSF"=rsf1),
formula=Surv(time,status)~X1+X2,
data=dat,
... | /cindex.R | no_license | csetraynor/Code_BYM_Warwick | R | false | false | 597 | r | ApparrentCindex <- pec::cindex(list("Cox X1"=cox1,
"Cox X2"=cox2,
"Cox X1+X2"=cox12,
"RSF"=rsf1),
formula=Surv(time,status)~X1+X2,
data=dat,
... |
library(ape)
testtree <- read.tree("4910_0.txt")
unrooted_tr <- unroot(testtree)
write.tree(unrooted_tr, file="4910_0_unrooted.txt") | /codeml_files/newick_trees_processed/4910_0/rinput.R | no_license | DaniBoo/cyanobacteria_project | R | false | false | 135 | r | library(ape)
testtree <- read.tree("4910_0.txt")
unrooted_tr <- unroot(testtree)
write.tree(unrooted_tr, file="4910_0_unrooted.txt") |
##########################################################################################
# Designed and developed by Tinniam V Ganesh
# Date : 30 Mar 2016
# Function: saveAllMatchesBetweenTeams
# This function saves all matches between 2 teams as a single dataframe
####################################################... | /R/saveAllMatchesBetweenTeams.R | no_license | bcdunbar/yorkr | R | false | false | 1,990 | r | ##########################################################################################
# Designed and developed by Tinniam V Ganesh
# Date : 30 Mar 2016
# Function: saveAllMatchesBetweenTeams
# This function saves all matches between 2 teams as a single dataframe
####################################################... |
## Reading Dataset in R
power <- read.table('C:/Users/swastikaa/Documents/DataScience/Course4/household_power_consumption.txt', header=TRUE, sep=";", na.strings = "?", colClasses = c('character','character','numeric','numeric','numeric','numeric','numeric','numeric','numeric'))
## Format date to Type Date
power$... | /course1_week1_project_plot4.R | no_license | swastikaacharya1/ds_course4_week1_project | R | false | false | 1,882 | r | ## Reading Dataset in R
power <- read.table('C:/Users/swastikaa/Documents/DataScience/Course4/household_power_consumption.txt', header=TRUE, sep=";", na.strings = "?", colClasses = c('character','character','numeric','numeric','numeric','numeric','numeric','numeric','numeric'))
## Format date to Type Date
power$... |
#' A function for analyzing two-sample problems
#'
#' The rank.two.sample() function
#'
#' @param formula A model \code{\link{formula}} object. The left hand side
#' contains the response variable and the right hand side contains the factor
#' variables of interest. An interaction term must be specified.
#' @p... | /rankFD/R/ranktwosamples.R | no_license | ingted/R-Examples | R | false | false | 16,893 | r | #' A function for analyzing two-sample problems
#'
#' The rank.two.sample() function
#'
#' @param formula A model \code{\link{formula}} object. The left hand side
#' contains the response variable and the right hand side contains the factor
#' variables of interest. An interaction term must be specified.
#' @p... |
########## Gets Data Organized To Go Into Models
bframe1 <-data.frame(read.table("TaggedSdl.txt",header=T))
######################### Tree plots
#####Standard plots
allplots <- c('YOHOPIPO','CCRPIPO','CRCRPIPO','FFS7CONTROL','FFS6BURN','FFS5BURN','FFS2BURN','LOTHAR','UPTHAR','LOLOG','UPLOG','LOGPIJE','SFTRABMA','WTAB... | /DataOrganization.R | no_license | emoran5/SeedlingModel | R | false | false | 17,543 | r | ########## Gets Data Organized To Go Into Models
bframe1 <-data.frame(read.table("TaggedSdl.txt",header=T))
######################### Tree plots
#####Standard plots
allplots <- c('YOHOPIPO','CCRPIPO','CRCRPIPO','FFS7CONTROL','FFS6BURN','FFS5BURN','FFS2BURN','LOTHAR','UPTHAR','LOLOG','UPLOG','LOGPIJE','SFTRABMA','WTAB... |
\name{summary.propagate}
\alias{summary.propagate}
\title{Summary function for 'propagate' objects}
\description{
Provides a printed summary of the results obtained by \code{\link{propagate}}, such as statistics of the first/second-order uncertainty propagation, Monte Carlo simulation, the covariance matrix, sy... | /man/summary.propagate.Rd | no_license | ProfessorPeregrine/propagate | R | false | false | 2,016 | rd | \name{summary.propagate}
\alias{summary.propagate}
\title{Summary function for 'propagate' objects}
\description{
Provides a printed summary of the results obtained by \code{\link{propagate}}, such as statistics of the first/second-order uncertainty propagation, Monte Carlo simulation, the covariance matrix, sy... |
% Generated by roxygen2 (4.1.0): do not edit by hand
% Please edit documentation in R/connection.R
\docType{methods}
\name{dbConnect,PqDriver-method}
\alias{dbConnect,PqDriver-method}
\alias{dbDisconnect,PqConnection-method}
\title{Connect to a PostgreSQL database.}
\usage{
\S4method{dbConnect}{PqDriver}(drv, dbname = ... | /man/dbConnect-PqDriver-method.Rd | no_license | robertzk/RPostgres | R | false | false | 1,466 | rd | % Generated by roxygen2 (4.1.0): do not edit by hand
% Please edit documentation in R/connection.R
\docType{methods}
\name{dbConnect,PqDriver-method}
\alias{dbConnect,PqDriver-method}
\alias{dbDisconnect,PqConnection-method}
\title{Connect to a PostgreSQL database.}
\usage{
\S4method{dbConnect}{PqDriver}(drv, dbname = ... |
source('getDataGeneral.R')
getDataCovid19datahubWithoutRecovered('Peru')
| /getPeru.R | permissive | proffsg2020/nCovForecast | R | false | false | 74 | r | source('getDataGeneral.R')
getDataCovid19datahubWithoutRecovered('Peru')
|
library(RSQLite)
conn <- dbConnect(RSQLite::SQLite(), "../perso/smiles_clean.db")
set.seed(1)
n_train = 0
n_test = 0
MolFormulas = data.frame()
for(k in dir('~/perso/process_full/')){
print(k)
data = read.csv(paste0('~/perso/process_full/',k))
colnames(data)[1] = 'id'
data = data[data$orga == 'True',]
MolF... | /notebook/20201212_convert_db.R | no_license | DimitriF/gpt-smiles | R | false | false | 1,547 | r | library(RSQLite)
conn <- dbConnect(RSQLite::SQLite(), "../perso/smiles_clean.db")
set.seed(1)
n_train = 0
n_test = 0
MolFormulas = data.frame()
for(k in dir('~/perso/process_full/')){
print(k)
data = read.csv(paste0('~/perso/process_full/',k))
colnames(data)[1] = 'id'
data = data[data$orga == 'True',]
MolF... |
shinyDataFilter_resourcePath <- function() {
singleton(shiny::addResourcePath(
"shinyDataFilter_shared",
system.file(package = "shinyDataFilter", "www", "shared")))
} | /R/singleton_resourcePath.R | permissive | dgkf/shinyDataFilter | R | false | false | 176 | r | shinyDataFilter_resourcePath <- function() {
singleton(shiny::addResourcePath(
"shinyDataFilter_shared",
system.file(package = "shinyDataFilter", "www", "shared")))
} |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/stream_data.R
\name{stream_write_memory}
\alias{stream_write_memory}
\title{Write Memory Stream}
\usage{
stream_write_memory(x, name = random_string("sparklyr_tmp_"),
mode = c("append", "complete", "update"),
trigger = stream_trigger_inte... | /man/stream_write_memory.Rd | permissive | shabbybanks/sparklyr | R | false | true | 1,950 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/stream_data.R
\name{stream_write_memory}
\alias{stream_write_memory}
\title{Write Memory Stream}
\usage{
stream_write_memory(x, name = random_string("sparklyr_tmp_"),
mode = c("append", "complete", "update"),
trigger = stream_trigger_inte... |
source("element.R")
library(xgboost)
threads=detectCores()
number_of_core=threads/2
time_start<-Sys.time()
source("dlt_sum_L3.R")
m_r_ab_org<-as.matrix(read.csv(file = "l3_ab.csv", header = FALSE))[-1,]
m_r_ab_org<-m_r_ab_org[,-1]
row_result<-dim(m_r_ab_org)[1]-1
m_r_ab<-head(m_r_ab_org,row_result)
result<-tail(dlt,... | /dlt_sum_L4.R | no_license | dlt-lee/dlt | R | false | false | 3,881 | r | source("element.R")
library(xgboost)
threads=detectCores()
number_of_core=threads/2
time_start<-Sys.time()
source("dlt_sum_L3.R")
m_r_ab_org<-as.matrix(read.csv(file = "l3_ab.csv", header = FALSE))[-1,]
m_r_ab_org<-m_r_ab_org[,-1]
row_result<-dim(m_r_ab_org)[1]-1
m_r_ab<-head(m_r_ab_org,row_result)
result<-tail(dlt,... |
\name{dnacopy.smoothvec}
\alias{dnacopy.smoothvec}
\title{dnacopy smoothvec}
\description{Smooth a profile using DNAcopy.}
\usage{dnacopy.smoothvec(profile, var, vals, ...)}
\arguments{
\item{profile}{A profile data.frame.}
\item{var}{Smoothness variable.}
\item{vals}{Smoothness values.}
\item{\dots}{O... | /man/dnacopy.smoothvec.Rd | no_license | tdhock/bams | R | false | false | 459 | rd | \name{dnacopy.smoothvec}
\alias{dnacopy.smoothvec}
\title{dnacopy smoothvec}
\description{Smooth a profile using DNAcopy.}
\usage{dnacopy.smoothvec(profile, var, vals, ...)}
\arguments{
\item{profile}{A profile data.frame.}
\item{var}{Smoothness variable.}
\item{vals}{Smoothness values.}
\item{\dots}{O... |
x <- tibble::as_tibble(iris[c(1, 2, 51, 52), c(5, 1)])
test_that("as_flextable.data.frame", {
expect_identical(as_flextable(x), flextable::flextable(x))
expect_identical(
as_flextable(x, with_blanks("Species", "Sepal.Length")),
flextable::flextable(
x,
col_keys = c("Species", "..after1", "..bef... | /tests/testthat/test-as-flextable.R | permissive | jmbarbone/ftExtra | R | false | false | 1,107 | r | x <- tibble::as_tibble(iris[c(1, 2, 51, 52), c(5, 1)])
test_that("as_flextable.data.frame", {
expect_identical(as_flextable(x), flextable::flextable(x))
expect_identical(
as_flextable(x, with_blanks("Species", "Sepal.Length")),
flextable::flextable(
x,
col_keys = c("Species", "..after1", "..bef... |
##FUNCTIONS
##HW8 Data Analysis
#Separate a string with ","
x<-c("n","a","i","v","y")
stc<- function(x){
str_c(x, collapse=",")
}
stc(x)
#Finding the daily mean grouping by site and date
o3summarize<-function(x){
out<- group_by(x, site=as.factor(site), date)%>%
summarize(o3=mean(obs, na.rm=TR... | /functions_es207_hw8.R | no_license | nrodalmorales/es_207_hw8 | R | false | false | 1,332 | r |
##FUNCTIONS
##HW8 Data Analysis
#Separate a string with ","
x<-c("n","a","i","v","y")
stc<- function(x){
str_c(x, collapse=",")
}
stc(x)
#Finding the daily mean grouping by site and date
o3summarize<-function(x){
out<- group_by(x, site=as.factor(site), date)%>%
summarize(o3=mean(obs, na.rm=TR... |
models <- list()
| /src/core/learning/models/__AUTOLOAD.R | no_license | imclab/cai | R | false | false | 17 | r | models <- list()
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/psut.R
\name{collapse_to_psut}
\alias{collapse_to_psut}
\title{Convert a tidy data frame to PSUT matrices}
\usage{
collapse_to_psut(
.df,
matrix_class = c("matrix", "Matrix"),
country = MWTools::mw_cols$country,
year = MWTools::mw_col... | /man/collapse_to_psut.Rd | permissive | EnergyEconomyDecoupling/MWTools | R | false | true | 2,610 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/psut.R
\name{collapse_to_psut}
\alias{collapse_to_psut}
\title{Convert a tidy data frame to PSUT matrices}
\usage{
collapse_to_psut(
.df,
matrix_class = c("matrix", "Matrix"),
country = MWTools::mw_cols$country,
year = MWTools::mw_col... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ttest.R
\name{t_fit}
\alias{t_fit}
\title{hypothesis function}
\usage{
t_fit(mydata)
}
\arguments{
\item{mydata}{...}
}
\value{
}
\description{
hypothesis function
}
| /man/t_fit.Rd | no_license | EthanTat/FinalPackage | R | false | true | 245 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ttest.R
\name{t_fit}
\alias{t_fit}
\title{hypothesis function}
\usage{
t_fit(mydata)
}
\arguments{
\item{mydata}{...}
}
\value{
}
\description{
hypothesis function
}
|
## Look at rivaslab data
external_files_path = "/oak/stanford/groups/mrivas/private_data/ukbb/24983/imp/pgen/"
analysis_name = "rivaslab_ukbb_imputed_30k_rand_controls_sex_age"
covariates_path = "/oak/stanford/groups/mrivas/private_data/ukbb/24983/phe_qc/ukb24983_GWAS_covar.phe"
subject_ids_path = "/oak/stanford/group... | /archive/rivaslab_imp_data_create_control_set.R | no_license | david-dd-amar/fitness_genetics | R | false | false | 8,302 | r |
## Look at rivaslab data
external_files_path = "/oak/stanford/groups/mrivas/private_data/ukbb/24983/imp/pgen/"
analysis_name = "rivaslab_ukbb_imputed_30k_rand_controls_sex_age"
covariates_path = "/oak/stanford/groups/mrivas/private_data/ukbb/24983/phe_qc/ukb24983_GWAS_covar.phe"
subject_ids_path = "/oak/stanford/group... |
library(CEGO)
### Name: distanceNumericLCStr
### Title: Longest Common Substring for Numeric Vectors
### Aliases: distanceNumericLCStr
### ** Examples
#e.g., used for distance between bit strings
x <- c(0,1,0,1,0)
y <- c(1,1,0,0,1)
distanceNumericLCStr(x,y)
p <- replicate(10,sample(c(0,1),5,replace=TRUE),simplify=F... | /data/genthat_extracted_code/CEGO/examples/distanceNumericLCStr.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 369 | r | library(CEGO)
### Name: distanceNumericLCStr
### Title: Longest Common Substring for Numeric Vectors
### Aliases: distanceNumericLCStr
### ** Examples
#e.g., used for distance between bit strings
x <- c(0,1,0,1,0)
y <- c(1,1,0,0,1)
distanceNumericLCStr(x,y)
p <- replicate(10,sample(c(0,1),5,replace=TRUE),simplify=F... |
#' @title
#' Summarize forest inventory data
#' @description
#' Get informations about forest inventory plots, like number of individuals,
#' mean DBH, q, height, basal area, volume, etc.
#'
#' @param df A data frame.
#' @param plot Quoted name of the plot variable. used to differentiate the data's plots. If this ar... | /R/plot_summarise.R | permissive | Dawa406/forestmangr | R | false | false | 13,255 | r | #' @title
#' Summarize forest inventory data
#' @description
#' Get informations about forest inventory plots, like number of individuals,
#' mean DBH, q, height, basal area, volume, etc.
#'
#' @param df A data frame.
#' @param plot Quoted name of the plot variable. used to differentiate the data's plots. If this ar... |
# visitor_hist_adr_usd vs price
visitor_hist_adr_usd <- train$visitor_hist_adr_usd
price_usd <- train$price_usd
# Let's take about 15% standard deviation
booking_bool <- vector(mode = "logical", length = nrow(price_usd))
# assign to vectors
srch.prop_id <- c(1234-5678)
booking_bool <- c(TRUE)
# construct the data f... | /kaggle/expedia/visitor_hist_adr_usd__VS__price_usd.R | no_license | ryanrishi/csci183 | R | false | false | 433 | r | # visitor_hist_adr_usd vs price
visitor_hist_adr_usd <- train$visitor_hist_adr_usd
price_usd <- train$price_usd
# Let's take about 15% standard deviation
booking_bool <- vector(mode = "logical", length = nrow(price_usd))
# assign to vectors
srch.prop_id <- c(1234-5678)
booking_bool <- c(TRUE)
# construct the data f... |
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