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(dplyr)
library(stats)
library(sqldf)
library(ggplot2)
library(reshape2)
library(gridExtra)
df<-read.csv("C:/Users/Mooda Meghana/Downloads/adult.csv")
summary(df)
df$income<-ifelse(df$income=='>50K',1,0)
df$workclass<-ifelse(df$workclass=='?','Unknown',as.character(df$workclass))
Work_class<-sqldf('SELECT workcl... | /predicting income/untitled.R | no_license | moodameghana/Predicting_Income | R | false | false | 1,971 | r | library(dplyr)
library(stats)
library(sqldf)
library(ggplot2)
library(reshape2)
library(gridExtra)
df<-read.csv("C:/Users/Mooda Meghana/Downloads/adult.csv")
summary(df)
df$income<-ifelse(df$income=='>50K',1,0)
df$workclass<-ifelse(df$workclass=='?','Unknown',as.character(df$workclass))
Work_class<-sqldf('SELECT workcl... |
library(ggplot2)
library(zoo)
library(scales)
rm(list = ls())
load("DataSet.Rda")
RawData$Date <- as.Date(RawData$Date)
LastDate <- max(RawData$Date, na.rm=TRUE)
Last6mRaw <- RawData[RawData$Date >
as.Date(as.yearmon(LastDate) - 0.5, frac = 1) &
(!is.na(RawData$CCYExpos... | /PlotHiRange.R | no_license | mcastagnaa/CCYexp | R | false | false | 1,700 | r | library(ggplot2)
library(zoo)
library(scales)
rm(list = ls())
load("DataSet.Rda")
RawData$Date <- as.Date(RawData$Date)
LastDate <- max(RawData$Date, na.rm=TRUE)
Last6mRaw <- RawData[RawData$Date >
as.Date(as.yearmon(LastDate) - 0.5, frac = 1) &
(!is.na(RawData$CCYExpos... |
library(IONiseR)
library(magrittr)
library(dplyr)
library(ShortRead)
library(rlist)
library(mclust)
library(factoextra) | /backend/src/main/resources/r_scripts/loadLibraries.R | permissive | ambro01/NanoporeQC | R | false | false | 119 | r | library(IONiseR)
library(magrittr)
library(dplyr)
library(ShortRead)
library(rlist)
library(mclust)
library(factoextra) |
#' @rdname proportion.test.onesample.approximate.simple
proportion.test.onesample.approximate <- function(
x
,success.value = 1 #Can be anything that compares with x with ==
,null.hypothesis.proportion = .5
,alternative = c("two.sided", "less", "greater")
,conf.level = .95
,continuity.correction = T
) {
... | /R/proportion.test.onesample.approximate.R | permissive | burrm/lolcat | R | false | false | 732 | r | #' @rdname proportion.test.onesample.approximate.simple
proportion.test.onesample.approximate <- function(
x
,success.value = 1 #Can be anything that compares with x with ==
,null.hypothesis.proportion = .5
,alternative = c("two.sided", "less", "greater")
,conf.level = .95
,continuity.correction = T
) {
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pecan-functions.R
\name{arrhenius.scaling}
\alias{arrhenius.scaling}
\title{Scale temperature dependent trait from measurement temperature to reference temperature}
\usage{
arrhenius.scaling(observed.value, old.temp, new.temp = 25)
}
\argumen... | /man/arrhenius.scaling.Rd | permissive | ashiklom/fortebaseline | R | false | true | 730 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pecan-functions.R
\name{arrhenius.scaling}
\alias{arrhenius.scaling}
\title{Scale temperature dependent trait from measurement temperature to reference temperature}
\usage{
arrhenius.scaling(observed.value, old.temp, new.temp = 25)
}
\argumen... |
require(POT) # perform stastical analyses of peaks over a threshold (POT)
weather.df <- read.csv("/home/christopher/git/AnalysisOfSpatioTemporalData/data/data/environment/weather-dwd-2667/weather-dwd-10091.csv")
colnames(weather.df) <- c("datum", "qual", "bedeckung", "relfeuchte", "dampfdruck", "ltemp", "ldruck", "wg... | /Wather_Station_Analysis/windmax_10091.R | no_license | ChristopherStephan/AnalysisOfSpatioTemporalData | R | false | false | 3,676 | r | require(POT) # perform stastical analyses of peaks over a threshold (POT)
weather.df <- read.csv("/home/christopher/git/AnalysisOfSpatioTemporalData/data/data/environment/weather-dwd-2667/weather-dwd-10091.csv")
colnames(weather.df) <- c("datum", "qual", "bedeckung", "relfeuchte", "dampfdruck", "ltemp", "ldruck", "wg... |
write.dir = "./"
user.wd <- "../" #"~/work/ICES/MGWG/SS_vs_SCAA/R/ccgomyt/"
user.od <- write.dir
model.id <- "Pollock"
ices.id = "POLLOCK_"
Fbar.ages = 5:7
library(TMB)
library(wham)
library(dplyr)
library(tidyr)
source("../../helper_code/convert_ICES_to_ASAP.r")
source("../../helper_code/wham_tab1.r")
source("../../h... | /state-space/Pollock/WHAM/fit_wham_models.r | no_license | ices-eg/wg_MGWG | R | false | false | 2,089 | r | write.dir = "./"
user.wd <- "../" #"~/work/ICES/MGWG/SS_vs_SCAA/R/ccgomyt/"
user.od <- write.dir
model.id <- "Pollock"
ices.id = "POLLOCK_"
Fbar.ages = 5:7
library(TMB)
library(wham)
library(dplyr)
library(tidyr)
source("../../helper_code/convert_ICES_to_ASAP.r")
source("../../helper_code/wham_tab1.r")
source("../../h... |
olx_data <- read.csv(file = "Detail_info_Add.csv", header = TRUE, sep = ",")
new_mobile_data <- read.csv(file = "new_mobile_phones.csv", header = TRUE, sep = ",")
for (i in 1: length(new_mobile_data$Name)) {
patterns <- strsplit(as.character(new_mobile_data$Name[i]), " ")[[1]]
for (j in 1: length(patterns)) {
... | /Assignment # 2/map.R | no_license | Waleedhafiz/Project-and-All-Assignments | R | false | false | 1,239 | r | olx_data <- read.csv(file = "Detail_info_Add.csv", header = TRUE, sep = ",")
new_mobile_data <- read.csv(file = "new_mobile_phones.csv", header = TRUE, sep = ",")
for (i in 1: length(new_mobile_data$Name)) {
patterns <- strsplit(as.character(new_mobile_data$Name[i]), " ")[[1]]
for (j in 1: length(patterns)) {
... |
lyon_validation_t1_rf <- read.table('Lyon_validations_cal_meteo_t1.csv', sep=';', header=TRUE)
lyon_validation_t1_rf$JVScolaire <- factor(lyon_validation_t1_rf$JVScolaire)
lyon_validation_t1_rf$JFerie <- factor(lyon_validation_t1_rf$JFerie)
lyon_validation_t1_rf$JGreve <- factor(lyon_validation_t1_rf$JGreve)
lyon_val... | /R/RandomForest.R | no_license | ndjido/Data-Analysis-code-example | R | false | false | 1,953 | r | lyon_validation_t1_rf <- read.table('Lyon_validations_cal_meteo_t1.csv', sep=';', header=TRUE)
lyon_validation_t1_rf$JVScolaire <- factor(lyon_validation_t1_rf$JVScolaire)
lyon_validation_t1_rf$JFerie <- factor(lyon_validation_t1_rf$JFerie)
lyon_validation_t1_rf$JGreve <- factor(lyon_validation_t1_rf$JGreve)
lyon_val... |
library(datasets)
data("iris")
str(iris)
mean(iris[iris$Species == 'virginica',]$Sepal.Length)
with(iris, mean(Sepal.Length[Species == 'virginica']))
data("mtcars")
str(mtcars)
sapply(split(mtcars$mpg, mtcars$cyl), mean)
with(mtcars, tapply(mpg, cyl, mean))
tapply(mtcars$mpg, mtcars$cyl, mean)
abs(mean(mtcars[mtcars$... | /rprog-032/quiz3.R | no_license | wangjiezhe/cousera | R | false | false | 431 | r | library(datasets)
data("iris")
str(iris)
mean(iris[iris$Species == 'virginica',]$Sepal.Length)
with(iris, mean(Sepal.Length[Species == 'virginica']))
data("mtcars")
str(mtcars)
sapply(split(mtcars$mpg, mtcars$cyl), mean)
with(mtcars, tapply(mpg, cyl, mean))
tapply(mtcars$mpg, mtcars$cyl, mean)
abs(mean(mtcars[mtcars$... |
#' \code{Ri2b2casecontrol} package
#'
#' i2b2 R package to run case-control analysis
#'
#' See the README on
#' \href{https://gitlab.partners.org/vc070/Ri2b2casecontrol}{GitHub}
#'
#' @docType package
#' @name Ri2b2casecontrol
#' @importFrom dplyr %>%
NULL
## quiets concerns of R CMD check re: the .'s that appear in p... | /R/Ri2b2casecontrol.R | no_license | vcastro/Ri2b2casecontrol | R | false | false | 741 | r | #' \code{Ri2b2casecontrol} package
#'
#' i2b2 R package to run case-control analysis
#'
#' See the README on
#' \href{https://gitlab.partners.org/vc070/Ri2b2casecontrol}{GitHub}
#'
#' @docType package
#' @name Ri2b2casecontrol
#' @importFrom dplyr %>%
NULL
## quiets concerns of R CMD check re: the .'s that appear in p... |
# Generated by Target Markdown in targets 0.4.2.9000: do not edit by hand
library(targets)
lapply(
list.files(
"_targets_r/globals",
pattern = "\\.R$",
full.names = TRUE
),
source
)
lapply(
list.files(
"_targets_r/targets",
pattern = "\\.R$",
full.names = TRUE
),
function(x) source(x... | /LDM/_targets.R | no_license | brownag/sANDREWbox | R | false | false | 330 | r | # Generated by Target Markdown in targets 0.4.2.9000: do not edit by hand
library(targets)
lapply(
list.files(
"_targets_r/globals",
pattern = "\\.R$",
full.names = TRUE
),
source
)
lapply(
list.files(
"_targets_r/targets",
pattern = "\\.R$",
full.names = TRUE
),
function(x) source(x... |
fuelOctaneRatings <- c(
88.5, 94.7, 84.3, 90.1, 89.0, 89.8, 91.6, 90.3,
90.0, 91.5, 89.9, 98.8, 88.3, 90.4, 91.2, 90.6,
92.2, 87.7, 91.1, 86.7, 93.4, 96.1, 89.6, 90.4,
91.6, 90.7, 88.6, 88.3, 94.2, 85.3, 90.1, 89.3,
91.1, 92.2, 83.4, 91.0, 88.2, 88.5, 93.3, 87.4,
91.1, 90.5, 100.3, 87.6, 92.7, 87.9, 93.0, 94.4,
... | /Chapter 6/Exercise 6.30.r | no_license | kmahoski/Statistical-Data-Analysis-in-R | R | false | false | 981 | r | fuelOctaneRatings <- c(
88.5, 94.7, 84.3, 90.1, 89.0, 89.8, 91.6, 90.3,
90.0, 91.5, 89.9, 98.8, 88.3, 90.4, 91.2, 90.6,
92.2, 87.7, 91.1, 86.7, 93.4, 96.1, 89.6, 90.4,
91.6, 90.7, 88.6, 88.3, 94.2, 85.3, 90.1, 89.3,
91.1, 92.2, 83.4, 91.0, 88.2, 88.5, 93.3, 87.4,
91.1, 90.5, 100.3, 87.6, 92.7, 87.9, 93.0, 94.4,
... |
c DCNF-Autarky [version 0.0.1].
c Copyright (c) 2018-2019 Swansea University.
c
c Input Clause Count: 28078
c Performing E1-Autarky iteration.
c Remaining clauses count after E-Reduction: 28078
c
c Input Parameter (command line, file):
c input filename QBFLIB/Amendola-Ricca-Truszczynski/selection-hard/ctrl.e#1.a#... | /code/dcnf-ankit-optimized/Results/QBFLIB-2018/E1/Experiments/Amendola-Ricca-Truszczynski/selection-hard/ctrl.e#1.a#3.E#130.A#48.c#.w#9.s#50.asp/ctrl.e#1.a#3.E#130.A#48.c#.w#9.s#50.asp.R | no_license | arey0pushpa/dcnf-autarky | R | false | false | 732 | r | c DCNF-Autarky [version 0.0.1].
c Copyright (c) 2018-2019 Swansea University.
c
c Input Clause Count: 28078
c Performing E1-Autarky iteration.
c Remaining clauses count after E-Reduction: 28078
c
c Input Parameter (command line, file):
c input filename QBFLIB/Amendola-Ricca-Truszczynski/selection-hard/ctrl.e#1.a#... |
# Copyright {2015} Yuxiang Tan
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | /QueryFuse_v1/subtract_psl.R | permissive | yuxiangtan/QueryFuse | R | false | false | 3,078 | r | # Copyright {2015} Yuxiang Tan
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... |
\name{synPrintEntity}
\alias{synPrintEntity}
\docType{methods}
\title{
synPrintEntity
}
\description{
Pretty prints an Entity.
}
\usage{
synPrintEntity(entity, ensure_ascii=TRUE)
}
\arguments{
\item{entity}{ The entity to be printed.\cr
}
\item{ensure_ascii}{ If TRUE, escapes all non-ASCII characters}
}
\examples{
\d... | /man/synPrintEntity.Rd | permissive | Sage-Bionetworks/synapser | R | false | false | 359 | rd | \name{synPrintEntity}
\alias{synPrintEntity}
\docType{methods}
\title{
synPrintEntity
}
\description{
Pretty prints an Entity.
}
\usage{
synPrintEntity(entity, ensure_ascii=TRUE)
}
\arguments{
\item{entity}{ The entity to be printed.\cr
}
\item{ensure_ascii}{ If TRUE, escapes all non-ASCII characters}
}
\examples{
\d... |
library(tidyverse)
bookings <- read_csv("datasets/bookings.csv")
properties <- read_csv("datasets/properties.csv")
# Your turn 1 ----
# Create a new tibble `x` that
#
# - only contains the columns `room_nights` and `review_score`, and
# - only contains the bookings with a price per night of less than 80.
... | /exercises/ex-tidyverse.R | no_license | stfnrpplngr/DataSciR20 | R | false | false | 3,969 | r | library(tidyverse)
bookings <- read_csv("datasets/bookings.csv")
properties <- read_csv("datasets/properties.csv")
# Your turn 1 ----
# Create a new tibble `x` that
#
# - only contains the columns `room_nights` and `review_score`, and
# - only contains the bookings with a price per night of less than 80.
... |
#' Process data for fitting distance sampling detection function
#'
#' Sets up dataframe and does some basic error checking. Adds needed fields to
#' dataframe and to \code{meta.data}.
#'
#' The function does a number of error checking tasks, creating fields and
#' adding to \code{meta.data} including:
#'
#' 1)... | /mrds/R/process.data.R | no_license | ingted/R-Examples | R | false | false | 8,103 | r | #' Process data for fitting distance sampling detection function
#'
#' Sets up dataframe and does some basic error checking. Adds needed fields to
#' dataframe and to \code{meta.data}.
#'
#' The function does a number of error checking tasks, creating fields and
#' adding to \code{meta.data} including:
#'
#' 1)... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/methods.R
\name{print.sam}
\alias{print.sam}
\title{Print sam object}
\usage{
\method{print}{sam}(x, ...)
}
\arguments{
\item{x}{the fitted object as returned from the \code{\link{sam.fit}} function}
\item{...}{extra arguments}
}
\descriptio... | /stockassessment/man/print.sam.Rd | no_license | fishfollower/SAM | R | false | true | 414 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/methods.R
\name{print.sam}
\alias{print.sam}
\title{Print sam object}
\usage{
\method{print}{sam}(x, ...)
}
\arguments{
\item{x}{the fitted object as returned from the \code{\link{sam.fit}} function}
\item{...}{extra arguments}
}
\descriptio... |
#' Available models in autoML
#'
#' Returns a list of models to select from when using autoML
#'
#' @return List of models
#' @export
#'
#' @examples
#' availableLearners()
#' @author
#' Xander Horn
availableLearners <- function(){
library(mlr)
tempClassifTask <- generateTask(x = iris, y = "Spec... | /R/availableLearners.R | permissive | hansvomkreuz/autoML | R | false | false | 943 | r |
#' Available models in autoML
#'
#' Returns a list of models to select from when using autoML
#'
#' @return List of models
#' @export
#'
#' @examples
#' availableLearners()
#' @author
#' Xander Horn
availableLearners <- function(){
library(mlr)
tempClassifTask <- generateTask(x = iris, y = "Spec... |
#' ---
#' title: HW 1
#' author: Aidan Dunleavy
#' date: 01/20/2021
#' ---
#' PROBLEM 1
data = read.csv("https://raw.githubusercontent.com/AidanDunleavy/Fall-2020-STAT-40001/master/paper.csv")
data$Group <- ordered(data$Group,
levels = c("4", "4.75", "5.5", "6"))
names(data) <- c("time... | /main/works/hw1.R | no_license | AidanDunleavy/Spring2021-Kuhn | R | false | false | 1,151 | r | #' ---
#' title: HW 1
#' author: Aidan Dunleavy
#' date: 01/20/2021
#' ---
#' PROBLEM 1
data = read.csv("https://raw.githubusercontent.com/AidanDunleavy/Fall-2020-STAT-40001/master/paper.csv")
data$Group <- ordered(data$Group,
levels = c("4", "4.75", "5.5", "6"))
names(data) <- c("time... |
library(tidyverse)
library(here)
## Challlenge 1
species_df <- read_csv(here("data", "20191024_species.csv"), na = "")
### Set columns `species_id` and `taxa` lowercase
species_df$species_id <- str_to_lower(species_df$species_id)
species_df$taxa <- str_to_lower(species_df$taxa)
# or using tidyverse functions (dply... | /src/20191024_challenges_commented_solution.R | permissive | Yasmine-Verzelen/coding-club | R | false | false | 6,173 | r | library(tidyverse)
library(here)
## Challlenge 1
species_df <- read_csv(here("data", "20191024_species.csv"), na = "")
### Set columns `species_id` and `taxa` lowercase
species_df$species_id <- str_to_lower(species_df$species_id)
species_df$taxa <- str_to_lower(species_df$taxa)
# or using tidyverse functions (dply... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ELMER.data.R
\docType{data}
\name{Human_genes__GRCh37_p13}
\alias{Human_genes__GRCh37_p13}
\title{A matrix containing ENSEMBL hg19 gene metadata accessed using biomart
This data is used if ensembl cannot be reached}
\format{A matrix with meta... | /man/Human_genes__GRCh37_p13.Rd | no_license | tiagochst/ELMER.data | R | false | true | 528 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ELMER.data.R
\docType{data}
\name{Human_genes__GRCh37_p13}
\alias{Human_genes__GRCh37_p13}
\title{A matrix containing ENSEMBL hg19 gene metadata accessed using biomart
This data is used if ensembl cannot be reached}
\format{A matrix with meta... |
## The following function creates a special "matrix" object
## that can cache its inverse.
## It creates a list containing functions to
## 1. set the matrix
## 2. get the matrix
## 3. set the inverse of the matrix
## 4. get the inverse of the matrix
makeCacheMatrix <- function(x = mat... | /cachematrix.R | no_license | BichTran91/datasciencecoursera | R | false | false | 1,334 | r | ## The following function creates a special "matrix" object
## that can cache its inverse.
## It creates a list containing functions to
## 1. set the matrix
## 2. get the matrix
## 3. set the inverse of the matrix
## 4. get the inverse of the matrix
makeCacheMatrix <- function(x = mat... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/07_calc_myreg_mreg_linear_yreg_logistic.R
\name{calc_myreg_mreg_linear_yreg_logistic}
\alias{calc_myreg_mreg_linear_yreg_logistic}
\title{Create calculators for effects and se (mreg linear / yreg logistic)}
\usage{
calc_myreg_mreg_linear_yreg... | /man/calc_myreg_mreg_linear_yreg_logistic.Rd | no_license | linzn1008/regmedint | R | false | true | 1,998 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/07_calc_myreg_mreg_linear_yreg_logistic.R
\name{calc_myreg_mreg_linear_yreg_logistic}
\alias{calc_myreg_mreg_linear_yreg_logistic}
\title{Create calculators for effects and se (mreg linear / yreg logistic)}
\usage{
calc_myreg_mreg_linear_yreg... |
#' Kaplan-Meier Estimates
#'
#' For two strata, estimates the standard error of the difference in two
#' Kaplan-Meier estimates at each value of times, and plots half-width
#' of confidence level for the difference, centered at the midpoint
#' of the survival estimates.
#'
#' details
#'
#' @param fit survfit object. Se... | /R/Misc.R | no_license | harrelfe/rreport | R | false | false | 14,627 | r | #' Kaplan-Meier Estimates
#'
#' For two strata, estimates the standard error of the difference in two
#' Kaplan-Meier estimates at each value of times, and plots half-width
#' of confidence level for the difference, centered at the midpoint
#' of the survival estimates.
#'
#' details
#'
#' @param fit survfit object. Se... |
#' Simple chronometer.
#' Has a little display and avoids wrapping everything in `system.time()`.
#' @noRd
chrono <- function(start, display = TRUE) {
if(missing(start)) ans <- proc.time()
else {
ans <- proc.time() - start
ans <- as.numeric(ans[3])
if(display) message("Execution time: ", round(a... | /R/chrono.R | no_license | mlysy/msde | R | false | false | 357 | r | #' Simple chronometer.
#' Has a little display and avoids wrapping everything in `system.time()`.
#' @noRd
chrono <- function(start, display = TRUE) {
if(missing(start)) ans <- proc.time()
else {
ans <- proc.time() - start
ans <- as.numeric(ans[3])
if(display) message("Execution time: ", round(a... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/rehydratoR.R
\name{rehydratoR}
\alias{rehydratoR}
\title{Get tweets for given statuses (tweet IDs).}
\usage{
rehydratoR(consumer_key, consumer_secret, access_token, access_secret,
status_ids, base_path = NULL, group_start = 1)
}
\arguments{... | /man/rehydratoR.Rd | permissive | kevincoakley/rehydratoR | R | false | true | 1,563 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/rehydratoR.R
\name{rehydratoR}
\alias{rehydratoR}
\title{Get tweets for given statuses (tweet IDs).}
\usage{
rehydratoR(consumer_key, consumer_secret, access_token, access_secret,
status_ids, base_path = NULL, group_start = 1)
}
\arguments{... |
## The following functions shall be used to cache a given matrix and calculate
## and cache its inverse
## "makeCacheMatrix" function is used to cache a given matrix
##
## to set a matrix and cache it, type:
## > x <- makeCacheMatrix()
## > x$setmat(y)
## where y is the matrix to be cached
## with each setting for th... | /cachematrix.R | no_license | hsalaheldin/ProgrammingAssignment2 | R | false | false | 1,399 | r | ## The following functions shall be used to cache a given matrix and calculate
## and cache its inverse
## "makeCacheMatrix" function is used to cache a given matrix
##
## to set a matrix and cache it, type:
## > x <- makeCacheMatrix()
## > x$setmat(y)
## where y is the matrix to be cached
## with each setting for th... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/WQcompos.R
\name{WQcompos}
\alias{WQcompos}
\title{Combine multiple samples into one composite sample (loads and concentrations)}
\usage{
WQcompos(df.samples, sampleID, parms, volume = "Evolume", bdate, edate, codes)
}
\arguments{
\item{df.sa... | /man/WQcompos.Rd | permissive | joshuaeveleth/USGSHydroTools | R | false | true | 1,464 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/WQcompos.R
\name{WQcompos}
\alias{WQcompos}
\title{Combine multiple samples into one composite sample (loads and concentrations)}
\usage{
WQcompos(df.samples, sampleID, parms, volume = "Evolume", bdate, edate, codes)
}
\arguments{
\item{df.sa... |
source('./R/utils_av.R')
country_name <- "Bolivia"
# this is the "stata" option (demetra + always include a constant even if D+d = 2). Approx 20 sec in my PC. ARG 30 sec
tic()
arima_res <- get_arima_results(country_name = country_name,
use_demetra = TRUE,
... | /R/use_new_get_arima_results.R | no_license | Allisterh/sarimax_var_search | R | false | false | 2,227 | r | source('./R/utils_av.R')
country_name <- "Bolivia"
# this is the "stata" option (demetra + always include a constant even if D+d = 2). Approx 20 sec in my PC. ARG 30 sec
tic()
arima_res <- get_arima_results(country_name = country_name,
use_demetra = TRUE,
... |
library(tidyverse)
library(cowplot)
library(ggplot2)
library(funk)
library(scales)
library(here)
library(piecewiseSEM)
library(lme4)
setwd(here('grazing-gradients'))
## get diversity
# data load
load("data/wio_herb_benthic_merged.Rdata")
# estimate mean biomass per site per FG
h <- pred %>% filter(FG == 'Herbivore ... | /scripts/models/04_scrape_residuals.R | no_license | jpwrobinson/grazing-gradients | R | false | false | 5,229 | r |
library(tidyverse)
library(cowplot)
library(ggplot2)
library(funk)
library(scales)
library(here)
library(piecewiseSEM)
library(lme4)
setwd(here('grazing-gradients'))
## get diversity
# data load
load("data/wio_herb_benthic_merged.Rdata")
# estimate mean biomass per site per FG
h <- pred %>% filter(FG == 'Herbivore ... |
library(RSQLite)
args <- commandArgs(trailingOnly = TRUE)
file.db <- args[1] #'/home/trn/Desktop/diploma-thesis/R/scripts/data-preparation/learning2.db'
save.dir <- args[2] #'/home/trn/Desktop/diploma-thesis/R/scripts/learning/dummy-region.csv'
file.analysis.addr <- args[3] #'/home/trn/Desktop/diploma-thesis/R/script... | /core/scripts/dummy-region.r | no_license | martintomas/iterative_prediction_of_pollutants | R | false | false | 924 | r | library(RSQLite)
args <- commandArgs(trailingOnly = TRUE)
file.db <- args[1] #'/home/trn/Desktop/diploma-thesis/R/scripts/data-preparation/learning2.db'
save.dir <- args[2] #'/home/trn/Desktop/diploma-thesis/R/scripts/learning/dummy-region.csv'
file.analysis.addr <- args[3] #'/home/trn/Desktop/diploma-thesis/R/script... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/summary.btfit.R
\name{summary.btfit}
\alias{summary.btfit}
\title{Summarizing Bradley-Terry Fits}
\usage{
\method{summary}{btfit}(object, subset = NULL, ref = NULL, SE = FALSE,
...)
}
\arguments{
\item{object}{An object of class "btfit", ty... | /man/summary.btfit.Rd | no_license | cran/BradleyTerryScalable | R | false | true | 3,649 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/summary.btfit.R
\name{summary.btfit}
\alias{summary.btfit}
\title{Summarizing Bradley-Terry Fits}
\usage{
\method{summary}{btfit}(object, subset = NULL, ref = NULL, SE = FALSE,
...)
}
\arguments{
\item{object}{An object of class "btfit", ty... |
% Generated by roxygen2 (4.0.1): do not edit by hand
\name{Dest}
\alias{Dest}
\title{Estimation Joost's Dest parameter}
\usage{
Dest(x, stratum = "Population", nperm = 0, size.correct = FALSE)
}
\arguments{
\item{x}{A vector of \code{\link{locus}} objects or a \code{data.frame} with \code{locus} objects.}
\item{stratu... | /man/Dest.Rd | no_license | hbwxf/gstudio | R | false | false | 1,624 | rd | % Generated by roxygen2 (4.0.1): do not edit by hand
\name{Dest}
\alias{Dest}
\title{Estimation Joost's Dest parameter}
\usage{
Dest(x, stratum = "Population", nperm = 0, size.correct = FALSE)
}
\arguments{
\item{x}{A vector of \code{\link{locus}} objects or a \code{data.frame} with \code{locus} objects.}
\item{stratu... |
#load the data
#set working directory
facebook_data= read.table("facebook_user.tsv", header=TRUE)
library("dplyr")
getwd()
#load data
fb= read.table("facebook_user.tsv",header=TRUE)
library("dplyr")
#1.Which day has the highest number of birthdays ?
fb$birthdate=as.Date(with(fb,paste(dob_day,dob_month,dob_y... | /Assignment1.R | no_license | mukullokhande99/DS_ML_R | R | false | false | 1,511 | r | #load the data
#set working directory
facebook_data= read.table("facebook_user.tsv", header=TRUE)
library("dplyr")
getwd()
#load data
fb= read.table("facebook_user.tsv",header=TRUE)
library("dplyr")
#1.Which day has the highest number of birthdays ?
fb$birthdate=as.Date(with(fb,paste(dob_day,dob_month,dob_y... |
% Generated by roxygen2 (4.0.2): do not edit by hand
\name{d}
\alias{d}
\title{make data frame alias}
\usage{
d(x)
}
\description{
make data frame alias
}
| /man/d.Rd | no_license | Philipp-Neubauer/euphemisms | R | false | false | 156 | rd | % Generated by roxygen2 (4.0.2): do not edit by hand
\name{d}
\alias{d}
\title{make data frame alias}
\usage{
d(x)
}
\description{
make data frame alias
}
|
#' Search NOAA datasets
#'
#' From the NOAA API docs: All of our data are in datasets. To retrieve any data
#' from us, you must know what dataset it is in.
#'
#' @export
#'
#' @template rnoaa
#' @template rnoaa2
#' @template datasets
#' @param datasetid (optional) Accepts a single valid dataset id. Data returned will ... | /R/ncdc_datasets.r | permissive | bestwpw/rnoaa | R | false | false | 3,317 | r | #' Search NOAA datasets
#'
#' From the NOAA API docs: All of our data are in datasets. To retrieve any data
#' from us, you must know what dataset it is in.
#'
#' @export
#'
#' @template rnoaa
#' @template rnoaa2
#' @template datasets
#' @param datasetid (optional) Accepts a single valid dataset id. Data returned will ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{transform}
\alias{transform}
\title{Transformations
Performs log or logit transformations.}
\usage{
transform(x, type = c("identity", "log", "logit", "none", NA_character_))
}
\arguments{
\item{x}{value to transform}
\item{ty... | /man/transform.Rd | no_license | cran/confidence | R | false | true | 460 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{transform}
\alias{transform}
\title{Transformations
Performs log or logit transformations.}
\usage{
transform(x, type = c("identity", "log", "logit", "none", NA_character_))
}
\arguments{
\item{x}{value to transform}
\item{ty... |
\name{mongo.gridfile.seek}
\alias{mongo.gridfile.seek}
\title{Seek to a position in a mongo.gridfile}
\usage{
mongo.gridfile.seek(gridfile, offset)
}
\arguments{
\item{gridfile}{A (\link{mongo.gridfile}) object.}
\item{offset}{(as.double) The position to which to seek.}
}
\value{
(double) The position set. This m... | /man/mongo.gridfile.seek.Rd | no_license | StefanoSpada/rmongodb | R | false | false | 1,655 | rd | \name{mongo.gridfile.seek}
\alias{mongo.gridfile.seek}
\title{Seek to a position in a mongo.gridfile}
\usage{
mongo.gridfile.seek(gridfile, offset)
}
\arguments{
\item{gridfile}{A (\link{mongo.gridfile}) object.}
\item{offset}{(as.double) The position to which to seek.}
}
\value{
(double) The position set. This m... |
#########################################################################################
# Prepared for Gabor's Data Analysis
#
# Data Analysis for Business, Economics, and Policy
# by Gabor Bekes and Gabor Kezdi
# Cambridge University Press 2021
#
# gabors-data-analysis.com
#
# License: Free to share, modify and us... | /ch12-time-series-simulations/ch12-randomwalk-serialcorr-simull.R | no_license | LIKE4986/da_case_studies | R | false | false | 4,120 | r | #########################################################################################
# Prepared for Gabor's Data Analysis
#
# Data Analysis for Business, Economics, and Policy
# by Gabor Bekes and Gabor Kezdi
# Cambridge University Press 2021
#
# gabors-data-analysis.com
#
# License: Free to share, modify and us... |
download.file("https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip","household_power_consumption.zip")
unzip("household_power_consumption.zip")
library(dplyr)
# Read only 1st 2 days of February 2007.
household.power.consumption <- tbl_df(read.table(pipe('grep "^[1-2]/2/2007" "househol... | /plot4.R | no_license | yongish/ExData_Plotting1 | R | false | false | 2,210 | r | download.file("https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip","household_power_consumption.zip")
unzip("household_power_consumption.zip")
library(dplyr)
# Read only 1st 2 days of February 2007.
household.power.consumption <- tbl_df(read.table(pipe('grep "^[1-2]/2/2007" "househol... |
# The high level actions performed by the VIT Canvas. The details of how these methods accomplish their goals is set by loadDetails, which chooses the appropriate method based on the type of sata and the statistic being examined
#initialize_actions <- function(e){
#' Creates the initial plot of the data
PLOT_DATA <... | /R/actions.R | no_license | garrettgman/Visual-Inference-Tools | R | false | false | 4,699 | r | # The high level actions performed by the VIT Canvas. The details of how these methods accomplish their goals is set by loadDetails, which chooses the appropriate method based on the type of sata and the statistic being examined
#initialize_actions <- function(e){
#' Creates the initial plot of the data
PLOT_DATA <... |
#' Cluster robust standard errors
#'
#' Take a model and cluster variable and returns summary output
#' @param model A model eg from lm
#' @param cluster A variable
#' @keywords Cluster, Robust
#' @export
#' @examples
#' cluster_robust(lm(time~temp, data = beaver1), beaver1$day)
#'
cluster_robust <- function(model, c... | /R/0 helper cluster_robust.R | no_license | macartan/VDW-H-SDS_2018 | R | false | false | 3,127 | r |
#' Cluster robust standard errors
#'
#' Take a model and cluster variable and returns summary output
#' @param model A model eg from lm
#' @param cluster A variable
#' @keywords Cluster, Robust
#' @export
#' @examples
#' cluster_robust(lm(time~temp, data = beaver1), beaver1$day)
#'
cluster_robust <- function(model, c... |
load('Dane/train.rda')
load('Dane/train_interpunction.rda')
load('Dane/train_Boruta.rda')
load('Dane/test.rda')
load('Dane/test_interpunction.rda')
load('Dane/test_Boruta.rda')
library(e1071)
bayesAll <- naiveBayes(Classes~.,data=train[,-348], laplace=0.2)
bayesAll_interpunction <- naiveBayes(Classes~.,
... | /R_codes/11_naiveBayes.R | no_license | mi2-warsaw/eRka-Onet-findTeam | R | false | false | 1,079 | r | load('Dane/train.rda')
load('Dane/train_interpunction.rda')
load('Dane/train_Boruta.rda')
load('Dane/test.rda')
load('Dane/test_interpunction.rda')
load('Dane/test_Boruta.rda')
library(e1071)
bayesAll <- naiveBayes(Classes~.,data=train[,-348], laplace=0.2)
bayesAll_interpunction <- naiveBayes(Classes~.,
... |
\name{WPGM.select}
\alias{WPGM.select}
\title{
Winsorized Poisson Graphical Model (WPGM)
}
\description{
Fitting the WPGM using efficient, parallel algorithm named Poisson Graphical Lasso.
This algorithm employs neighborhood selection to infer network structure.
Stability selection method "star" was used in select... | /PGMs/Package_Trial/T3/expMRF/man/WPGM.select.Rd | no_license | zhandong/XFam | R | false | false | 4,355 | rd | \name{WPGM.select}
\alias{WPGM.select}
\title{
Winsorized Poisson Graphical Model (WPGM)
}
\description{
Fitting the WPGM using efficient, parallel algorithm named Poisson Graphical Lasso.
This algorithm employs neighborhood selection to infer network structure.
Stability selection method "star" was used in select... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/get_bbox_centroid.R
\name{get_bbox_centroid}
\alias{get_bbox_centroid}
\title{Get the great-circle centroid for a given bounding box.}
\usage{
get_bbox_centroid(bbox)
}
\arguments{
\item{bbox}{The bounding box to find a centroid for. If not a... | /man/get_bbox_centroid.Rd | permissive | mikejohnson51/terrainr | R | false | true | 929 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/get_bbox_centroid.R
\name{get_bbox_centroid}
\alias{get_bbox_centroid}
\title{Get the great-circle centroid for a given bounding box.}
\usage{
get_bbox_centroid(bbox)
}
\arguments{
\item{bbox}{The bounding box to find a centroid for. If not a... |
library(shiny)
library(foreign)
library(rCharts)
library(dplyr)
library(Hmisc)
library(reshape)
library(zoo)
rm(list=ls())
###change the max size of the file (5MB by defoult)
options(shiny.maxRequestSize=100*1024^2) ###check what would be a reasonable here
##########################
#Function to get the data
#####... | /server.R | no_license | Dorota-Lewandowska/YG_van_Wastendorp | R | false | false | 8,814 | r | library(shiny)
library(foreign)
library(rCharts)
library(dplyr)
library(Hmisc)
library(reshape)
library(zoo)
rm(list=ls())
###change the max size of the file (5MB by defoult)
options(shiny.maxRequestSize=100*1024^2) ###check what would be a reasonable here
##########################
#Function to get the data
#####... |
# *****************Hierarchal Clustering*****************
library(fields)
library(ggplot2)
# dist() calculates the pairwise distances
# hclust() takes the pairwise dist. variable and gives a dendogram
# To view your dendogram you need plot() to plot it
# plot with as.dendogram() for a neater one
# heatmap() creates a h... | /Graphs/Clustering.R | no_license | greywind7/R-language-notes | R | false | false | 1,770 | r | # *****************Hierarchal Clustering*****************
library(fields)
library(ggplot2)
# dist() calculates the pairwise distances
# hclust() takes the pairwise dist. variable and gives a dendogram
# To view your dendogram you need plot() to plot it
# plot with as.dendogram() for a neater one
# heatmap() creates a h... |
##' @title Simulation 1
##' @param alpha gene correlation parameter, larger alpha creates larger correlation
##' @param sim_disp gene dispersion from breast cancer data
##' @param empirical_dist average gene expression from breast cancer data
##' @return data with correlated genes for simulation 3.
##' @references Rahm... | /snbClust/R/Sim.Corr.R | no_license | YujiaLi1994/snbClust | R | false | false | 3,347 | r | ##' @title Simulation 1
##' @param alpha gene correlation parameter, larger alpha creates larger correlation
##' @param sim_disp gene dispersion from breast cancer data
##' @param empirical_dist average gene expression from breast cancer data
##' @return data with correlated genes for simulation 3.
##' @references Rahm... |
#
# 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)
source("setup_import.R")
# Define UI for application that draws a histogram
ui <- fluidPage(
... | /app.R | no_license | samsrabin/crossword-plot | R | false | false | 8,635 | 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)
source("setup_import.R")
# Define UI for application that draws a histogram
ui <- fluidPage(
... |
library(randomForest)
model<- randomForest(Species~., data=trainData, nTree=500)
summary(model)
prediction <- predict(model, newdata=testData, type='class')
table(prediction, testData$Species)
importance(model)
library(adabag)
iris.adaboost <- boosting(Species~., data=iristrain, boost=TRUE, mfinal=5)
iris.a... | /Bagging_and_Boosting.R | no_license | vkrit/chula_datamining | R | false | false | 344 | r | library(randomForest)
model<- randomForest(Species~., data=trainData, nTree=500)
summary(model)
prediction <- predict(model, newdata=testData, type='class')
table(prediction, testData$Species)
importance(model)
library(adabag)
iris.adaboost <- boosting(Species~., data=iristrain, boost=TRUE, mfinal=5)
iris.a... |
#' Various utility functions
#'
#' Miscellaneous set of functions that can be used with results from the
#' package.
#'
#' Function \code{extract.indices} extracts the parameter indices from the
#' parameter index matrices (PIMS) for a particular type of \code{parameter}
#' that match a set of group numbers an... | /RMark/R/utility.r | no_license | wchallenger/RMark | R | false | false | 12,374 | r | #' Various utility functions
#'
#' Miscellaneous set of functions that can be used with results from the
#' package.
#'
#' Function \code{extract.indices} extracts the parameter indices from the
#' parameter index matrices (PIMS) for a particular type of \code{parameter}
#' that match a set of group numbers an... |
library(stringr)
Letter_dirs<-dir('../../RESULTS/CTTV015_Landers_Sabatini_Library_analysis/outComes/')
nLetters<-length(Letter_dirs)
load('../../DATA/CTTV015_Landers_Sabatini_Library_analysis/R/alreadyincludedGuides.rdata')
# includedGuides<-read.table('../../DATA/CTTV015_Landers_Sabatini_Library_analysis/internal/C... | /Lander_Sabatini_old_Analysis/AssembleResults.R | no_license | francescojm/OT-CPI-Pipelines | R | false | false | 1,928 | r |
library(stringr)
Letter_dirs<-dir('../../RESULTS/CTTV015_Landers_Sabatini_Library_analysis/outComes/')
nLetters<-length(Letter_dirs)
load('../../DATA/CTTV015_Landers_Sabatini_Library_analysis/R/alreadyincludedGuides.rdata')
# includedGuides<-read.table('../../DATA/CTTV015_Landers_Sabatini_Library_analysis/internal/C... |
library(CvM2SL2Test)
library(MASS)
library(verification)
OPAM.project.dataset.RNAi <- function(
input.ds,
output.ds,
gene.set.databases,
gene.set.selection = "ALL", # "ALL" or list with names of gene sets
sample.norm.type = "rank", # "rank", "log" or "log.rank"
weight = 0.25... | /project_scripts/pablo_NMF_scripts/OPAM.library.v7.R | no_license | lhogstrom/jailbird | R | false | false | 359,323 | r | library(CvM2SL2Test)
library(MASS)
library(verification)
OPAM.project.dataset.RNAi <- function(
input.ds,
output.ds,
gene.set.databases,
gene.set.selection = "ALL", # "ALL" or list with names of gene sets
sample.norm.type = "rank", # "rank", "log" or "log.rank"
weight = 0.25... |
library(countrycode)
library(ggplot2)
library(treemap)
# Read the csv file
popfem <- read.csv('/home/ubuntu/Dropbox/Manoj/MSAN622_DataViz_Sophie/data/tot_pop_female_2050.csv',
header=TRUE, stringsAsFactors=FALSE)
# extract Continent
popfem$continent <- as.factor(countrycode(popfem$country, "country... | /final-project/dataprep.R | no_license | manoj-v/msan622 | R | false | false | 4,439 | r | library(countrycode)
library(ggplot2)
library(treemap)
# Read the csv file
popfem <- read.csv('/home/ubuntu/Dropbox/Manoj/MSAN622_DataViz_Sophie/data/tot_pop_female_2050.csv',
header=TRUE, stringsAsFactors=FALSE)
# extract Continent
popfem$continent <- as.factor(countrycode(popfem$country, "country... |
"SI" "VC" "IN" "CO" "BD" "MR" "VP" "FW" "PCm" "DS" "AR" "LN" "SS" "CD" "CA"
1.00 0.74 0.64 0.71 0.49 0.51 0.44 0.53 0.44 0.48 0.54 0.45 0.35 0.41 0.23
0.74 1.00 0.73 0.74 0.45 0.51 0.42 0.53 0.39 0.50 0.57 0.48 0.34 0.41 0.24
0.64 0.73 1.00 0.66 0.44 0.49 0.43 0.51 0.41 0.43 0.57 0.43 0.34 0.34 0.22
0.71 0.74 0.66 ... | /WAISData.R | no_license | KJKan/nwsem | R | false | false | 1,221 | r | "SI" "VC" "IN" "CO" "BD" "MR" "VP" "FW" "PCm" "DS" "AR" "LN" "SS" "CD" "CA"
1.00 0.74 0.64 0.71 0.49 0.51 0.44 0.53 0.44 0.48 0.54 0.45 0.35 0.41 0.23
0.74 1.00 0.73 0.74 0.45 0.51 0.42 0.53 0.39 0.50 0.57 0.48 0.34 0.41 0.24
0.64 0.73 1.00 0.66 0.44 0.49 0.43 0.51 0.41 0.43 0.57 0.43 0.34 0.34 0.22
0.71 0.74 0.66 ... |
###############
library(ChemmineR)
library(hwriter)
library(parallel)
###############
#data(apset)
#data(sdfsample)
#sdfset<-sdfsample
#smiset<-sdf2smiles(sdfset)
apset<-sdf2ap(sdfset)
#fpset<-desc2fp(apset)
##
naebors<-8
nnm <- nearestNeighbors(apset,numNbrs=naebors)
###############
png<-list.files(pattern="smi.png",r... | /Figure3/ToxCast_nnm/WorkHere/hwriteMore.R | permissive | andrewdefries/ToxCast | R | false | false | 2,554 | r | ###############
library(ChemmineR)
library(hwriter)
library(parallel)
###############
#data(apset)
#data(sdfsample)
#sdfset<-sdfsample
#smiset<-sdf2smiles(sdfset)
apset<-sdf2ap(sdfset)
#fpset<-desc2fp(apset)
##
naebors<-8
nnm <- nearestNeighbors(apset,numNbrs=naebors)
###############
png<-list.files(pattern="smi.png",r... |
testlist <- list(mu = 5.43230922490124e-311, var = 0)
result <- do.call(metafolio:::est_beta_params,testlist)
str(result) | /metafolio/inst/testfiles/est_beta_params/libFuzzer_est_beta_params/est_beta_params_valgrind_files/1612988126-test.R | no_license | akhikolla/updatedatatype-list3 | R | false | false | 121 | r | testlist <- list(mu = 5.43230922490124e-311, var = 0)
result <- do.call(metafolio:::est_beta_params,testlist)
str(result) |
library(sp)
function(points_with_cluster_id, subject){
# Get CHULL for each cluster of points
get_chull_poly <- function(points_to_chull){
chull_coords <- points_to_chull[chull(points_to_chull),]
polys <- Polygons(list(Polygon(chull_coords)), "ID")
}
chull_polys <-... | /function/get_cluster_chulls.R | permissive | disarm-platform/fn-dbscan-clusterer | R | false | false | 865 | r | library(sp)
function(points_with_cluster_id, subject){
# Get CHULL for each cluster of points
get_chull_poly <- function(points_to_chull){
chull_coords <- points_to_chull[chull(points_to_chull),]
polys <- Polygons(list(Polygon(chull_coords)), "ID")
}
chull_polys <-... |
#' @include globals.R
NULL
#' Create a logger
#'
#' The logger emits log events in a format that is
#' consistent with [`logga`](https://github.com/stencila/logga):
#' newline-delimited JSON streamed to `stderr`, with the `tag`,
#' a `message` string and an integer `level`:
#'
#' - 0: error
#' - 1: warning
#' - 2: inf... | /R/logger.R | permissive | stencila/rasta | R | false | false | 1,743 | r | #' @include globals.R
NULL
#' Create a logger
#'
#' The logger emits log events in a format that is
#' consistent with [`logga`](https://github.com/stencila/logga):
#' newline-delimited JSON streamed to `stderr`, with the `tag`,
#' a `message` string and an integer `level`:
#'
#' - 0: error
#' - 1: warning
#' - 2: inf... |
#' Load and select auxiliary plot trees-VRI specific
#'
#' @description This function loads and selects auxiliary data (\code{vi_i}, cardi) based on cluster/plot header.
#'
#'
#' @param clusterplotHeader data.table, Cluster and plot level attributes, an output from \code{\link{VRIInit_clusterplot}}.
#'
#' @param dataSo... | /R/VRIInit_auxTree.R | permissive | bcgov/FAIBCompiler | R | false | false | 2,560 | r | #' Load and select auxiliary plot trees-VRI specific
#'
#' @description This function loads and selects auxiliary data (\code{vi_i}, cardi) based on cluster/plot header.
#'
#'
#' @param clusterplotHeader data.table, Cluster and plot level attributes, an output from \code{\link{VRIInit_clusterplot}}.
#'
#' @param dataSo... |
run_analysis <- function() {
## Assume that this script is run in the following directory of the
## unzipped files "UCI HAR Dataset"
## load libraries
library(dplyr)
library(reshape2)
## read in test data
test_data <- read.table("./test/X_test.txt", header=F)
test_subject <- read.table(... | /run_analysis.R | no_license | bbqsatay/GettingAndCleaningDataRepo | R | false | false | 4,060 | r | run_analysis <- function() {
## Assume that this script is run in the following directory of the
## unzipped files "UCI HAR Dataset"
## load libraries
library(dplyr)
library(reshape2)
## read in test data
test_data <- read.table("./test/X_test.txt", header=F)
test_subject <- read.table(... |
test_that("HostHttpServer$stop+start", {
s1 = HostHttpServer$new(NULL)
s2 = HostHttpServer$new(NULL)
expect_equal(s1$url, NULL)
s1$start()
expect_true(str_detect(s1$url, '^http://127.0.0.1'))
s2$start()
p1 <- as.integer(str_match(s1$url, '^http://127.0.0.1:(\\d+)')[1, 2])
p2 <- as.integer(str_match(s... | /tests/testthat/test-host-http-server.R | permissive | RaoOfPhysics/r | R | false | false | 5,420 | r | test_that("HostHttpServer$stop+start", {
s1 = HostHttpServer$new(NULL)
s2 = HostHttpServer$new(NULL)
expect_equal(s1$url, NULL)
s1$start()
expect_true(str_detect(s1$url, '^http://127.0.0.1'))
s2$start()
p1 <- as.integer(str_match(s1$url, '^http://127.0.0.1:(\\d+)')[1, 2])
p2 <- as.integer(str_match(s... |
context("super")
test_that("it should call the parent method once", {
calls <- integer(0)
function1 <- function() { calls <<- c(calls, 1L) }
local({
function1 <- function() {
calls <<- c(calls, 2L)
super::super()
}
function1()
})
expect_equal(calls, c(2L, 1L))
})
test_that("it shoul... | /tests/testthat/test-super.R | no_license | robertzk/super | R | false | false | 4,799 | r | context("super")
test_that("it should call the parent method once", {
calls <- integer(0)
function1 <- function() { calls <<- c(calls, 1L) }
local({
function1 <- function() {
calls <<- c(calls, 2L)
super::super()
}
function1()
})
expect_equal(calls, c(2L, 1L))
})
test_that("it shoul... |
install.packages("dplyr")
install.packages("ggplot2")
install.packages("ggmap")
install.packages("parallel")
install.packages("doParallel")
install.packages("caret")
install.packages("dplyr")
install.packages("randomForest")
library("randomForest")
library("dplyr")
library("caret")
library("doParallel")
library("paral... | /wifi_last_2.R | no_license | niluucar/wifi | R | false | false | 12,137 | r | install.packages("dplyr")
install.packages("ggplot2")
install.packages("ggmap")
install.packages("parallel")
install.packages("doParallel")
install.packages("caret")
install.packages("dplyr")
install.packages("randomForest")
library("randomForest")
library("dplyr")
library("caret")
library("doParallel")
library("paral... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/interface.R
\name{save.obj}
\alias{save.obj}
\title{Save a object to persistent storage.}
\usage{
save.obj(obj, name, rev = NULL, backend = NULL)
}
\arguments{
\item{obj}{object to save.}
\item{name}{object name on the storage.}
\item{rev}{... | /man/save.obj.Rd | no_license | hskksk/rstore | R | false | true | 565 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/interface.R
\name{save.obj}
\alias{save.obj}
\title{Save a object to persistent storage.}
\usage{
save.obj(obj, name, rev = NULL, backend = NULL)
}
\arguments{
\item{obj}{object to save.}
\item{name}{object name on the storage.}
\item{rev}{... |
#'@name stackSp
#'
#'@title Join species files
#'
#'@description Join all independent files into a single multi-species file.
#'
#'@param data Vector of characters. Name of the input file.
#'
#'@param rd.frmt Vector of characters. The file format to read.
#'By default it will be read as a R object using the
#' \code... | /R/stackSp.R | no_license | Dmirandae/geocleaMT | R | false | false | 2,872 | r | #'@name stackSp
#'
#'@title Join species files
#'
#'@description Join all independent files into a single multi-species file.
#'
#'@param data Vector of characters. Name of the input file.
#'
#'@param rd.frmt Vector of characters. The file format to read.
#'By default it will be read as a R object using the
#' \code... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/state_fips.R
\docType{data}
\name{state_fips}
\alias{state_fips}
\title{Dataset with the lat. / long. of county FIPS codes used for mapping.}
\format{A data frame with 57 rows and 4 variables}
\usage{
data(state_fips)
}
\description{
Built-in... | /man/state_fips.Rd | no_license | xtmgah/blscrapeR | R | false | true | 698 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/state_fips.R
\docType{data}
\name{state_fips}
\alias{state_fips}
\title{Dataset with the lat. / long. of county FIPS codes used for mapping.}
\format{A data frame with 57 rows and 4 variables}
\usage{
data(state_fips)
}
\description{
Built-in... |
#!/usr/bin/env Rscript
# Copyright (c) 2018 ISciences, LLC.
# All rights reserved.
#
# WSIM is licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License. You may
# obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.
#
# Unl... | /wsim_flow.R | permissive | isciences/wsim | R | false | false | 3,910 | r | #!/usr/bin/env Rscript
# Copyright (c) 2018 ISciences, LLC.
# All rights reserved.
#
# WSIM is licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License. You may
# obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.
#
# Unl... |
#' Easily summarize quantitative data
#'
#' @description \code{ezsummary_quantitative()} summarizes quantitative data.
#'
#' @param tbl A vector, a data.frame or a \code{dplyr} \code{tbl}.
#' @param total a T/F value; total counts of records including both missing
#' and read data records. Default is \code{FALSE}.
#' @... | /R/ezsummary_quantitative.r | no_license | cran/ezsummary | R | false | false | 7,575 | r | #' Easily summarize quantitative data
#'
#' @description \code{ezsummary_quantitative()} summarizes quantitative data.
#'
#' @param tbl A vector, a data.frame or a \code{dplyr} \code{tbl}.
#' @param total a T/F value; total counts of records including both missing
#' and read data records. Default is \code{FALSE}.
#' @... |
# keras model used in ENDGAME LSTM 2016 paper + recurrent dropout
default_keras_model_lstm_endgame_recurrent_dropout_parameters_tune=list(
lstm_size = c(128,64,32),
embedingdim = c(128,50,32),
dropout = c(0.5)
)
#default_keras_model_cnn_argencon_parameters_tune=list(
# nb_filter = c(256,128),
# kernel_size = c... | /model_lstm_endgame_recurrent_dropout.R | permissive | harpomaxx/deepseq | R | false | false | 1,478 | r | # keras model used in ENDGAME LSTM 2016 paper + recurrent dropout
default_keras_model_lstm_endgame_recurrent_dropout_parameters_tune=list(
lstm_size = c(128,64,32),
embedingdim = c(128,50,32),
dropout = c(0.5)
)
#default_keras_model_cnn_argencon_parameters_tune=list(
# nb_filter = c(256,128),
# kernel_size = c... |
#' @title Prepare GDC data
#' @description
#' Reads the data downloaded and prepare it into an R object
#' @param query A query for GDCquery function
#' @param save Save result as RData object?
#' @param save.filename Name of the file to be save if empty an automatic will be created
#' @param directory Directory/Fol... | /R/prepare.R | no_license | Sergiollaneza/TCGAbiolinks | R | false | false | 61,770 | r |
#' @title Prepare GDC data
#' @description
#' Reads the data downloaded and prepare it into an R object
#' @param query A query for GDCquery function
#' @param save Save result as RData object?
#' @param save.filename Name of the file to be save if empty an automatic will be created
#' @param directory Directory/Fol... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/overlapping.R
\name{overlapping}
\alias{overlapping}
\alias{overlapping.default}
\alias{overlapping.formula}
\title{Measures of overlapping}
\usage{
overlapping(...)
\method{overlapping}{default}(x, y, measures = "all",
summary = c("mean",... | /man/overlapping.Rd | no_license | cran/ECoL | R | false | true | 3,474 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/overlapping.R
\name{overlapping}
\alias{overlapping}
\alias{overlapping.default}
\alias{overlapping.formula}
\title{Measures of overlapping}
\usage{
overlapping(...)
\method{overlapping}{default}(x, y, measures = "all",
summary = c("mean",... |
neural<-function()
#This script, so far, only uses synthesized data to train the neural network. The goal is to use this function to create a neural network that will then be used to
#create our prices for our warehouses.
#This script works, but we need to find a way to create better training data
#Train neura... | /simulation/neural.R | no_license | awiddy/WARIE | R | false | false | 1,764 | r | neural<-function()
#This script, so far, only uses synthesized data to train the neural network. The goal is to use this function to create a neural network that will then be used to
#create our prices for our warehouses.
#This script works, but we need to find a way to create better training data
#Train neura... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/input.R
\docType{data}
\name{input}
\alias{input}
\title{Dane wejsciowe dla funkcji \code{emisjadk()}}
\format{
Ramka danych zawiera:
\describe{
\item{Nat}{Natezenie ruchu}
\item{Segment}{Rodzaj nadwozia samochodu}
\item{Fuel}{Rodzaj uzywaneg... | /man/input.Rd | permissive | Gryzzle/emisjaspal | R | false | true | 506 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/input.R
\docType{data}
\name{input}
\alias{input}
\title{Dane wejsciowe dla funkcji \code{emisjadk()}}
\format{
Ramka danych zawiera:
\describe{
\item{Nat}{Natezenie ruchu}
\item{Segment}{Rodzaj nadwozia samochodu}
\item{Fuel}{Rodzaj uzywaneg... |
#' Custom tryCatch to return result, errors and warnings.
#' Copied from http://stackoverflow.com/a/24569739/2271856.
#'
#' @noRd
#' @keywords internal
tryCatchExt <- function(expr) {
warn <- err <- NULL
value <- withCallingHandlers(
tryCatch(expr, error = function(e) {
err <<- conditionMessage(e... | /R/utils.R | no_license | ntduc11/statgenSTA | R | false | false | 23,815 | r | #' Custom tryCatch to return result, errors and warnings.
#' Copied from http://stackoverflow.com/a/24569739/2271856.
#'
#' @noRd
#' @keywords internal
tryCatchExt <- function(expr) {
warn <- err <- NULL
value <- withCallingHandlers(
tryCatch(expr, error = function(e) {
err <<- conditionMessage(e... |
ui = navbarPage(title = 'at7987',
collapsible = T,
position = 'fixed-top',
theme = teachingApps::add_theme(getShinyOption('theme')),
header = teachingApps::add_css(),
footer = teachingApps::add_logo(),
tabPanel("Data Set",DT::dataTableO... | /inst/apps/at7987_data/ui.R | no_license | Ammar-K/SMRD | R | false | false | 1,720 | r | ui = navbarPage(title = 'at7987',
collapsible = T,
position = 'fixed-top',
theme = teachingApps::add_theme(getShinyOption('theme')),
header = teachingApps::add_css(),
footer = teachingApps::add_logo(),
tabPanel("Data Set",DT::dataTableO... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/SMNN_data.R
\docType{data}
\name{data_SMNN}
\alias{data_SMNN}
\title{A list of two expression matrices for two batches. The first batch contains 400 cells of
three cell types, fibroblasts, macrophages and endothelial cells. And the second bat... | /man/data_SMNN.Rd | no_license | yycunc/SMNN | R | false | true | 1,631 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/SMNN_data.R
\docType{data}
\name{data_SMNN}
\alias{data_SMNN}
\title{A list of two expression matrices for two batches. The first batch contains 400 cells of
three cell types, fibroblasts, macrophages and endothelial cells. And the second bat... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/write_gifti.R
\name{write_surf_gifti}
\alias{write_surf_gifti}
\title{Write CIFTI surface data to GIFTI}
\usage{
write_surf_gifti(
x,
gifti_fname,
hemisphere = c("left", "right"),
encoding = NULL,
endian = c("LittleEndian... | /man/write_surf_gifti.Rd | no_license | yoaman/r-cran-ciftiTools | R | false | true | 1,247 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/write_gifti.R
\name{write_surf_gifti}
\alias{write_surf_gifti}
\title{Write CIFTI surface data to GIFTI}
\usage{
write_surf_gifti(
x,
gifti_fname,
hemisphere = c("left", "right"),
encoding = NULL,
endian = c("LittleEndian... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ELISAtools_IO.R
\name{saveDataText}
\alias{saveDataText}
\title{Save elisa_batch analysis results}
\usage{
saveDataText(batches, file.name)
}
\arguments{
\item{batches}{list of elisa batch data to be serialized.}
\item{file.name}{character s... | /man/saveDataText.Rd | no_license | cran/ELISAtools | R | false | true | 1,281 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ELISAtools_IO.R
\name{saveDataText}
\alias{saveDataText}
\title{Save elisa_batch analysis results}
\usage{
saveDataText(batches, file.name)
}
\arguments{
\item{batches}{list of elisa batch data to be serialized.}
\item{file.name}{character s... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/calculations.R
\name{total_THMs}
\alias{total_THMs}
\title{Calculate the total THMs
Calculate the total THMs, equal to the sum of bromodichloromethane,
bromoform, chlorodibromomethane, chloroform}
\usage{
total_THMs(column_names, labdat)
}
\a... | /man/total_THMs.Rd | permissive | biogeochem/bpwtpR | R | false | true | 936 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/calculations.R
\name{total_THMs}
\alias{total_THMs}
\title{Calculate the total THMs
Calculate the total THMs, equal to the sum of bromodichloromethane,
bromoform, chlorodibromomethane, chloroform}
\usage{
total_THMs(column_names, labdat)
}
\a... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{fmi_stations}
\alias{fmi_stations}
\alias{fmi_weather_stations}
\title{Get a list of active FMI observation stations.}
\usage{
fmi_stations(groups = NULL, quiet = FALSE)
}
\arguments{
\item{groups}{a character vector of observat... | /man/fmi_stations.Rd | permissive | jlintusaari/fmi | R | false | true | 1,065 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{fmi_stations}
\alias{fmi_stations}
\alias{fmi_weather_stations}
\title{Get a list of active FMI observation stations.}
\usage{
fmi_stations(groups = NULL, quiet = FALSE)
}
\arguments{
\item{groups}{a character vector of observat... |
#SIR.model <- function(t, b, g, m){
require(deSolve)
t=250
deaths <- 3
N <- 1000
tinfec <- 14
gamma <- 1/tinfec
R0 <- 5 #numero medio de pessoas infectadas a partir de um infectado
beta <- (gamma*R0)/N
mu=deaths/N
init <- c(S=N-1,I=1,R=0, D=0)
parameters <- c(bet=beta,gamm=gamma, mmu=mu)
time <- seq(0,t,by=1)
eqn <- f... | /blog_posts/26-03-2020/Corona/SIR_Model.R | no_license | fsbmat-ufv/fsbmat-ufv.github.io | R | false | false | 8,016 | r | #SIR.model <- function(t, b, g, m){
require(deSolve)
t=250
deaths <- 3
N <- 1000
tinfec <- 14
gamma <- 1/tinfec
R0 <- 5 #numero medio de pessoas infectadas a partir de um infectado
beta <- (gamma*R0)/N
mu=deaths/N
init <- c(S=N-1,I=1,R=0, D=0)
parameters <- c(bet=beta,gamm=gamma, mmu=mu)
time <- seq(0,t,by=1)
eqn <- f... |
generate_prob <- function(sequencing_error_model,unit_theta,unit_gamma,unit_mu,number_br,
number_cell,normal_genotype,mutation_genotype,initial_obs,ts){
# for this gene or location, variable singletip_exclude are those sample equal '-', variable tip_exclude are all those equal '-'
... | /simulation/FiguresS2_S3_Scenarios3_4/Scenario4_result/MO_Ternary_20missing/MO_Ternary_Simulation_Study_5.R | no_license | DavidSimone/MO | R | false | false | 47,782 | r | generate_prob <- function(sequencing_error_model,unit_theta,unit_gamma,unit_mu,number_br,
number_cell,normal_genotype,mutation_genotype,initial_obs,ts){
# for this gene or location, variable singletip_exclude are those sample equal '-', variable tip_exclude are all those equal '-'
... |
% Generated by roxygen2 (4.0.2): do not edit by hand
\name{addLayers}
\alias{addLayers}
\title{addLayers}
\usage{
addLayers(OSMMap1, OSMMap2)
}
\arguments{
\item{OSMMap1}{a map object resulting from the call to OSMMap}
\item{OSMMap2}{another map object resulting from a call to OSMMap}
}
\description{
Take two maps and... | /man/addLayers.Rd | no_license | greentheo/OpenStreetMapR | R | false | false | 576 | rd | % Generated by roxygen2 (4.0.2): do not edit by hand
\name{addLayers}
\alias{addLayers}
\title{addLayers}
\usage{
addLayers(OSMMap1, OSMMap2)
}
\arguments{
\item{OSMMap1}{a map object resulting from the call to OSMMap}
\item{OSMMap2}{another map object resulting from a call to OSMMap}
}
\description{
Take two maps and... |
# Lesson 2: Working Directory
getwd() # Current working directory
setwd() # Set working directory
list.files() # Objects in current working directory
dir() # Also the same result
ls() # Objects in current workspace
args(list.files) # Arguments of the function
dir.create("testdir") # Creates a new directory
file.create(... | /course-2/week_1/swirl.R | no_license | storyteller-aditya/datasciencecoursera | R | false | false | 2,463 | r | # Lesson 2: Working Directory
getwd() # Current working directory
setwd() # Set working directory
list.files() # Objects in current working directory
dir() # Also the same result
ls() # Objects in current workspace
args(list.files) # Arguments of the function
dir.create("testdir") # Creates a new directory
file.create(... |
if(!require(checkpoint)){
install.packages("checkpoint")
library(checkpoint)
}
checkpoint("2016-01-13")
if(!(require(readr) & require(ggplot2) & require(tidyr) & require(plyr) & require(dplyr) & require(rstan) & require(rstudioapi) & require(codetools) & require(readxl))){
install.packages(c("rstan", "ggplot2", "... | /RunModel_MultiPlate_4p.R | no_license | jonaudet/Logistic_ELISA_std | R | false | false | 9,810 | r | if(!require(checkpoint)){
install.packages("checkpoint")
library(checkpoint)
}
checkpoint("2016-01-13")
if(!(require(readr) & require(ggplot2) & require(tidyr) & require(plyr) & require(dplyr) & require(rstan) & require(rstudioapi) & require(codetools) & require(readxl))){
install.packages(c("rstan", "ggplot2", "... |
CAAElementsPlanetaryOrbit_NeptuneLongitudePerihelion <-
function(JD){
.Call("CAAElementsPlanetaryOrbit_NeptuneLongitudePerihelion", JD)
}
| /R/CAAElementsPlanetaryOrbit_NeptuneLongitudePerihelion.R | no_license | helixcn/skycalc | R | false | false | 142 | r | CAAElementsPlanetaryOrbit_NeptuneLongitudePerihelion <-
function(JD){
.Call("CAAElementsPlanetaryOrbit_NeptuneLongitudePerihelion", JD)
}
|
library(glmnet)
mydata = read.table("./TrainingSet/RF/lymphoid.csv",head=T,sep=",")
x = as.matrix(mydata[,4:ncol(mydata)])
y = as.matrix(mydata[,1])
set.seed(123)
glm = cv.glmnet(x,y,nfolds=10,type.measure="mse",alpha=0.6,family="gaussian",standardize=FALSE)
sink('./Model/EN/Classifier/lymphoid/lymphoid_066.txt',append... | /Model/EN/Classifier/lymphoid/lymphoid_066.R | no_license | leon1003/QSMART | R | false | false | 356 | r | library(glmnet)
mydata = read.table("./TrainingSet/RF/lymphoid.csv",head=T,sep=",")
x = as.matrix(mydata[,4:ncol(mydata)])
y = as.matrix(mydata[,1])
set.seed(123)
glm = cv.glmnet(x,y,nfolds=10,type.measure="mse",alpha=0.6,family="gaussian",standardize=FALSE)
sink('./Model/EN/Classifier/lymphoid/lymphoid_066.txt',append... |
AppendPlotList <- function(item)
{
if( .GlobalEnv$counter == .GlobalEnv$size )
{
length(.GlobalEnv$plotlist) <- .GlobalEnv$size <- .GlobalEnv$Size * 2
}
.GlobalEnv$counter <- .GlobalEnv$counter + 1
.GlobalEnv$plotlist[[.GlobalEnv$counter]] <- item
} | /Week 1 - Clustering/AddItemToList.R | no_license | Merlijn-van-Breugel/Machine-Learning | R | false | false | 287 | r | AppendPlotList <- function(item)
{
if( .GlobalEnv$counter == .GlobalEnv$size )
{
length(.GlobalEnv$plotlist) <- .GlobalEnv$size <- .GlobalEnv$Size * 2
}
.GlobalEnv$counter <- .GlobalEnv$counter + 1
.GlobalEnv$plotlist[[.GlobalEnv$counter]] <- item
} |
#' @name .TVPBVAR_linear_wrapper
#' @noRd
#' @importFrom abind adrop
#' @importFrom utils capture.output
.TVPBVAR_linear_wrapper <- function(Yraw, prior, plag, draws, burnin, cons, trend, SV, thin, default_hyperpara, Ex, applyfun, cores, eigen, trim){
class(Yraw) <- "numeric"
prior_in <- prior
if(default_hyperpar... | /R/utils_tvpbvar.R | no_license | MacroFinanceHub/BTSM | R | false | false | 62,780 | r | #' @name .TVPBVAR_linear_wrapper
#' @noRd
#' @importFrom abind adrop
#' @importFrom utils capture.output
.TVPBVAR_linear_wrapper <- function(Yraw, prior, plag, draws, burnin, cons, trend, SV, thin, default_hyperpara, Ex, applyfun, cores, eigen, trim){
class(Yraw) <- "numeric"
prior_in <- prior
if(default_hyperpar... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/colPerc.R
\name{colPerc}
\alias{colPerc}
\title{Column Percents}
\usage{
colPerc(tab)
}
\arguments{
\item{tab}{A two way table, e.g.,
the result of \code{xtabs(~var1+var2,data=DataFrame)}.}
}
\value{
An object of class \code{table}, giving co... | /man/colPerc.Rd | no_license | umeshach/tigerstats | R | false | true | 579 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/colPerc.R
\name{colPerc}
\alias{colPerc}
\title{Column Percents}
\usage{
colPerc(tab)
}
\arguments{
\item{tab}{A two way table, e.g.,
the result of \code{xtabs(~var1+var2,data=DataFrame)}.}
}
\value{
An object of class \code{table}, giving co... |
\name{crmsens}
\alias{crmsens}
\alias{print.dxcrm}
\title{Model Sensitivity in the CRM}
\description{
Evaluate the model sensitivity in the CRM by indifference intervals.}
\usage{
crmsens(prior, target, model = "empiric", intcpt = 3, eps = 1e-06,
maxit = 100, detail = FALSE)
}
\arguments{
\item{prior}{A vec... | /man/crmsens.Rd | no_license | cran/dfcrm | R | false | false | 1,858 | rd | \name{crmsens}
\alias{crmsens}
\alias{print.dxcrm}
\title{Model Sensitivity in the CRM}
\description{
Evaluate the model sensitivity in the CRM by indifference intervals.}
\usage{
crmsens(prior, target, model = "empiric", intcpt = 3, eps = 1e-06,
maxit = 100, detail = FALSE)
}
\arguments{
\item{prior}{A vec... |
source('modelsetup.r')
source('SummarizeImputation.r')
cores <- as.integer(commandArgs(TRUE)[1])
current.core <- as.integer(commandArgs(TRUE)[2])
mtd <- tolower(commandArgs(TRUE)[3])
if(is.na(cores)) {
cores <- 1
}
if(is.na(current.core)) {
current.core <- 1
}
if(is.na(mtd)) {
mtd <- "lwd"
}
base.dir <- getwd()
#... | /deploy/run.models.r | no_license | grstearns/Missingness | R | false | false | 7,525 | r | source('modelsetup.r')
source('SummarizeImputation.r')
cores <- as.integer(commandArgs(TRUE)[1])
current.core <- as.integer(commandArgs(TRUE)[2])
mtd <- tolower(commandArgs(TRUE)[3])
if(is.na(cores)) {
cores <- 1
}
if(is.na(current.core)) {
current.core <- 1
}
if(is.na(mtd)) {
mtd <- "lwd"
}
base.dir <- getwd()
#... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/seasFolder.R
\name{seasFolder}
\alias{seasFolder}
\title{Get path to folder with seasonality analysis + data}
\usage{
seasFolder(..., warnonly = FALSE, path = NA)
}
\arguments{
\item{\dots}{Optional filename(s) that will be appended.}
\item{... | /man/seasFolder.Rd | no_license | kbSSR/rfs | R | false | true | 818 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/seasFolder.R
\name{seasFolder}
\alias{seasFolder}
\title{Get path to folder with seasonality analysis + data}
\usage{
seasFolder(..., warnonly = FALSE, path = NA)
}
\arguments{
\item{\dots}{Optional filename(s) that will be appended.}
\item{... |
library(RPostgreSQL)
con <- dbConnect(PostgreSQL(), user="manjarid", password="fath1Heim",
dbname="manjarid", host="sculptor.stat.cmu.edu")
result = dbSendQuery(con, "select hood from neighborhoodpolice;")
data = dbFetch(result)
dbClearResult(result)
hoods = unlist(data)
datafile = read.csv("stdin", ... | /crime_data/ingest_data.R | no_license | mqnjqrid/assignments | R | false | false | 2,757 | r | library(RPostgreSQL)
con <- dbConnect(PostgreSQL(), user="manjarid", password="fath1Heim",
dbname="manjarid", host="sculptor.stat.cmu.edu")
result = dbSendQuery(con, "select hood from neighborhoodpolice;")
data = dbFetch(result)
dbClearResult(result)
hoods = unlist(data)
datafile = read.csv("stdin", ... |
##################################################################################################################
######### WHO 2007 #####
######### Department of Nutrition for Health and Development ... | /who2007_r/who2007.r | no_license | calzzone/Dr-szbo-pedi-2 | R | false | false | 30,395 | r | ##################################################################################################################
######### WHO 2007 #####
######### Department of Nutrition for Health and Development ... |
random_numbers <- c(-2, -8, 5, -3, 5, 10, 13, 1, 1)
positive_numbers <- random_numbers > 0
positive_numbers | /1 - Basic/2 - Vectors/14.personalizado.R | no_license | TopicosSelectos/tutoriales-2019-2-abel-rodriguez | R | false | false | 108 | r | random_numbers <- c(-2, -8, 5, -3, 5, 10, 13, 1, 1)
positive_numbers <- random_numbers > 0
positive_numbers |
\alias{gtkWindowResize}
\name{gtkWindowResize}
\title{gtkWindowResize}
\description{Resizes the window as if the user had done so, obeying geometry
constraints. The default geometry constraint is that windows may
not be smaller than their size request; to override this
constraint, call \code{\link{gtkWidgetSetSizeReque... | /man/gtkWindowResize.Rd | no_license | cran/RGtk2.10 | R | false | false | 962 | rd | \alias{gtkWindowResize}
\name{gtkWindowResize}
\title{gtkWindowResize}
\description{Resizes the window as if the user had done so, obeying geometry
constraints. The default geometry constraint is that windows may
not be smaller than their size request; to override this
constraint, call \code{\link{gtkWidgetSetSizeReque... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.