content large_stringlengths 0 6.46M | path large_stringlengths 3 331 | license_type large_stringclasses 2
values | repo_name large_stringlengths 5 125 | language large_stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 4 6.46M | extension large_stringclasses 75
values | text stringlengths 0 6.46M |
|---|---|---|---|---|---|---|---|---|---|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/rbeta2.R
\name{rbeta2}
\alias{rbeta2}
\title{Generate random number(s) from a beta distribution with specified mean and standard deviation}
\usage{
rbeta2(n, mean, sdev)
}
\arguments{
\item{n}{number of random deviates desired}
\item{mean}{m... | /man/rbeta2.Rd | no_license | juvelas/PVA | R | false | true | 809 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/rbeta2.R
\name{rbeta2}
\alias{rbeta2}
\title{Generate random number(s) from a beta distribution with specified mean and standard deviation}
\usage{
rbeta2(n, mean, sdev)
}
\arguments{
\item{n}{number of random deviates desired}
\item{mean}{m... |
########################################################################
# dailyhourlybarplot/createDataList.R
#
# Create a list of data needed to generate the plot.
#
# Author: Tate Brasel, Spencer Pease, Jonathan Callahan
########################################################################
createDataList <- func... | /monitor-custom/R/dailyhourlybarplot/createDataList.R | no_license | MazamaScience/monitoring-custom-service | R | false | false | 3,902 | r | ########################################################################
# dailyhourlybarplot/createDataList.R
#
# Create a list of data needed to generate the plot.
#
# Author: Tate Brasel, Spencer Pease, Jonathan Callahan
########################################################################
createDataList <- func... |
# Zad 4-1
mpg
str(mpg)
?mpg
# 1. 11
# 2. 234
# 3. engine displacement to pojemność silnika, miles per gallon to amerykańska wersja litrów na 100 km
# 4.
# manufacturer (producent)
# model- model name (model samochodu)
# displ- engine displacement, in litres (pojemność silnika)
# year- year of manufacture (rocznik)
# c... | /zadania4.R | no_license | misiolek/tipn_zad_misiolek | R | false | false | 1,297 | r | # Zad 4-1
mpg
str(mpg)
?mpg
# 1. 11
# 2. 234
# 3. engine displacement to pojemność silnika, miles per gallon to amerykańska wersja litrów na 100 km
# 4.
# manufacturer (producent)
# model- model name (model samochodu)
# displ- engine displacement, in litres (pojemność silnika)
# year- year of manufacture (rocznik)
# c... |
library(gethr)
### Name: shh_getSymKey
### Title: Symmetric key given a symmetric key ID.
### Aliases: shh_getSymKey
### ** Examples
## No test:
shh_getSymKey('8d7b2dff569d14308a8e74ca1475dd93ba8dd42a9a74e97638796d5d6c8751ac')
## End(No test)
| /data/genthat_extracted_code/gethr/examples/shh_getSymKey.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 252 | r | library(gethr)
### Name: shh_getSymKey
### Title: Symmetric key given a symmetric key ID.
### Aliases: shh_getSymKey
### ** Examples
## No test:
shh_getSymKey('8d7b2dff569d14308a8e74ca1475dd93ba8dd42a9a74e97638796d5d6c8751ac')
## End(No test)
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/paws.backup_operations.R
\name{describe_protected_resource}
\alias{describe_protected_resource}
\title{Returns information about a saved resource, including the last time it was backed-up, its Amazon Resource Name (ARN), and the AWS service t... | /service/paws.backup/man/describe_protected_resource.Rd | permissive | CR-Mercado/paws | R | false | true | 850 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/paws.backup_operations.R
\name{describe_protected_resource}
\alias{describe_protected_resource}
\title{Returns information about a saved resource, including the last time it was backed-up, its Amazon Resource Name (ARN), and the AWS service t... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Tuning.R
\name{MakeLowessPred}
\alias{MakeLowessPred}
\title{Predict RFLOWESS Tuning}
\usage{
MakeLowessPred(OOBWeights, PredWeights, TRAINY, TEST, tol = tol, ind, parvec,
method = "Tukey")
}
\arguments{
\item{OOBWeights}{matrix of training... | /man/MakeLowessPred.Rd | no_license | AndrewjSage/RFLOWESS | R | false | true | 1,368 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Tuning.R
\name{MakeLowessPred}
\alias{MakeLowessPred}
\title{Predict RFLOWESS Tuning}
\usage{
MakeLowessPred(OOBWeights, PredWeights, TRAINY, TEST, tol = tol, ind, parvec,
method = "Tukey")
}
\arguments{
\item{OOBWeights}{matrix of training... |
# qsub -v script=pQTL_Mapk3_mediation Rsubmit_args.sh
# R/3.4.1
setwd("/projects/korstanje-lab/ytakemon/JAC_DO_Kidney/")
load("./RNAseq_data/DO188b_kidney_noprobs.RData")
library(ggplot2)
library(dplyr)
library(scales)
# Get list of genes with trans pQTL
list <- read.csv("./QTLscan/output/Threshold6_pQTL_intAge_pbatc... | /QTLmapping/scan_addtrans/pQTL_Mapk3_mediation.R | permissive | ytakemon/JAC_DO_Kidney | R | false | false | 5,915 | r | # qsub -v script=pQTL_Mapk3_mediation Rsubmit_args.sh
# R/3.4.1
setwd("/projects/korstanje-lab/ytakemon/JAC_DO_Kidney/")
load("./RNAseq_data/DO188b_kidney_noprobs.RData")
library(ggplot2)
library(dplyr)
library(scales)
# Get list of genes with trans pQTL
list <- read.csv("./QTLscan/output/Threshold6_pQTL_intAge_pbatc... |
#' @title Sub-community plot under each sub-environmental space K
#' @aliases subplot
#' @description The function to represent the community subniche position under each subenvironment K with their respective marginality from Gk.
#' @param ... further arguments passed to or from other methods.
#' @param subnic an obj... | /R/subplot.R | no_license | cran/subniche | R | false | false | 9,437 | r | #' @title Sub-community plot under each sub-environmental space K
#' @aliases subplot
#' @description The function to represent the community subniche position under each subenvironment K with their respective marginality from Gk.
#' @param ... further arguments passed to or from other methods.
#' @param subnic an obj... |
#
# This is the user-interface definition of a Shiny web application. You can
# run the application by clicking 'Run App' above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
library(plotly)
# Define UI for application that draws a histogram
shinyUI(... | /ui.R | no_license | cmalla94/FirstDataStory | R | false | false | 3,872 | r | #
# This is the user-interface definition of a Shiny web application. You can
# run the application by clicking 'Run App' above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
library(plotly)
# Define UI for application that draws a histogram
shinyUI(... |
run_analysis <- function(featuresfile = "features.txt", activitylabelfile = "activity_labels.txt",
traindatafile = "./train/X_train.txt", trainlabelfile = "./train/y_train.txt",
testdatafile = "./test/X_test.txt", testlabelfile = "./test/y_test.txt" ){
## Run scr... | /run_analysis.r | no_license | JayeBlurb/tidydataassign | R | false | false | 2,670 | r | run_analysis <- function(featuresfile = "features.txt", activitylabelfile = "activity_labels.txt",
traindatafile = "./train/X_train.txt", trainlabelfile = "./train/y_train.txt",
testdatafile = "./test/X_test.txt", testlabelfile = "./test/y_test.txt" ){
## Run scr... |
#! /usr/bin/env Rscript
#############################################
############## FUNCTIONAL HUNTER ###########
#############################################
# this is wrapped in a tryCatch. The first expression works when source executes, the
# second expression works when R CMD does it.
full.fpath <- tryCatch(nor... | /render_corr_report.R | no_license | MariaSuero/DEgenesHunter | R | false | false | 4,533 | r | #! /usr/bin/env Rscript
#############################################
############## FUNCTIONAL HUNTER ###########
#############################################
# this is wrapped in a tryCatch. The first expression works when source executes, the
# second expression works when R CMD does it.
full.fpath <- tryCatch(nor... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/rcox.R
\name{rcox}
\alias{rcox}
\title{Simulate Cox process in 2- or 3-dimensional box}
\usage{
rcox(lambda, n, bbox, W, iter = 10000, verb = FALSE)
}
\arguments{
\item{lambda}{object from 'lambda'-function}
\item{n}{points to simulate if fi... | /man/rcox.Rd | no_license | antiphon/rcox | R | false | true | 690 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/rcox.R
\name{rcox}
\alias{rcox}
\title{Simulate Cox process in 2- or 3-dimensional box}
\usage{
rcox(lambda, n, bbox, W, iter = 10000, verb = FALSE)
}
\arguments{
\item{lambda}{object from 'lambda'-function}
\item{n}{points to simulate if fi... |
#Optimal Number of Clusters in data
#Reduce total within ss
data = iris[-5]
head(data)
km1= kmeans(data,centers=1)
km1$tot.withinss
km2= kmeans(data,centers=2)
km2$tot.withinss
km2$withinss
km3= kmeans(data,centers=3)
km3$tot.withinss
km4= kmeans(data,centers=4)
km4$tot.withinss
km5= kmeans(data,centers=5)
km5$to... | /optimal no.R | no_license | Vishakha2992/Analytics1 | R | false | false | 827 | r | #Optimal Number of Clusters in data
#Reduce total within ss
data = iris[-5]
head(data)
km1= kmeans(data,centers=1)
km1$tot.withinss
km2= kmeans(data,centers=2)
km2$tot.withinss
km2$withinss
km3= kmeans(data,centers=3)
km3$tot.withinss
km4= kmeans(data,centers=4)
km4$tot.withinss
km5= kmeans(data,centers=5)
km5$to... |
context("shed")
test_that("shed works as expected", {
tdat <- data.frame(
Sepal.Length = c("Sepal.Length", "blah", "4.9", "4.7"),
Sepal.Width = c("Sepal.Width", "3.5", "3.0", "3.2"),
Petal.Length = c("Petal.Length", "1.4", "1.4", "1.3"),
Petal.Width = c("Petal.Width", "0.2", "0.2", "0.2"),
Spec... | /tests/testthat/test_shed.R | permissive | s-fleck/shed | R | false | false | 964 | r | context("shed")
test_that("shed works as expected", {
tdat <- data.frame(
Sepal.Length = c("Sepal.Length", "blah", "4.9", "4.7"),
Sepal.Width = c("Sepal.Width", "3.5", "3.0", "3.2"),
Petal.Length = c("Petal.Length", "1.4", "1.4", "1.3"),
Petal.Width = c("Petal.Width", "0.2", "0.2", "0.2"),
Spec... |
rm(list=ls())
####### R version 3.6.3 (2020-02-29) -- "Holding the Windsock"
library(rocc)
library(ggplot2)
library(Biobase)
library(edgeR)
library(limma)
library(biomaRt)
library(dplyr)
library(cancerclass)
library(cowplot)
library(caret)
library(RColorBrewer)
library(FactoMineR)
library(factoextra)
... | /immuneSig_CV_test_mod.R | no_license | donghaixiong/ReplyToMattersArising | R | false | false | 31,403 | r | rm(list=ls())
####### R version 3.6.3 (2020-02-29) -- "Holding the Windsock"
library(rocc)
library(ggplot2)
library(Biobase)
library(edgeR)
library(limma)
library(biomaRt)
library(dplyr)
library(cancerclass)
library(cowplot)
library(caret)
library(RColorBrewer)
library(FactoMineR)
library(factoextra)
... |
library(shiny)
poundsToKilos <<- 2.204 # 1 kg = 2.204 pounds
inchesToMeters <<- 0.0254 # 1 inches = 0.0254 m
# Metric BMI formula where weight is in kg, and height is in meters
calculateBMI <- function(w,h) w/(h^2)
# Check the measurement units and convert to metric if it is imperial system
calculate <- function(... | /server.R | no_license | naiavu/DDP_Coursera | R | false | false | 1,348 | r | library(shiny)
poundsToKilos <<- 2.204 # 1 kg = 2.204 pounds
inchesToMeters <<- 0.0254 # 1 inches = 0.0254 m
# Metric BMI formula where weight is in kg, and height is in meters
calculateBMI <- function(w,h) w/(h^2)
# Check the measurement units and convert to metric if it is imperial system
calculate <- function(... |
NEI <- readRDS("data/exdata_data_NEI_data/summarySCC_PM25.rds")
SCC <- readRDS("data/exdata_data_NEI_data/Source_Classification_Code.rds")
png(filename = "datasciencecoursera/Exploratory Data Analysis/figure/plot1.png",
width = 480, height = 380, units = "px", pointsize = 12, bg = "white")
totEm = aggregat... | /Exploratory Data Analysis/Assignment2.R | no_license | siddharth012/datasciencecoursera-1 | R | false | false | 525 | r | NEI <- readRDS("data/exdata_data_NEI_data/summarySCC_PM25.rds")
SCC <- readRDS("data/exdata_data_NEI_data/Source_Classification_Code.rds")
png(filename = "datasciencecoursera/Exploratory Data Analysis/figure/plot1.png",
width = 480, height = 380, units = "px", pointsize = 12, bg = "white")
totEm = aggregat... |
library(plyr)
library(greport)
rm(list=ls())
#Loading Data
trainD <- read.table("X_train.txt")
trainL <- read.table("y_train.txt")
trainSub <- read.table("subject_train.txt")
testD <- read.table("X_test.txt")
testL <- read.table("y_test.txt")
testSub <- read.table("... | /run_analysis.R | no_license | Belphegorus/Getting-Cleaning-Data | R | false | false | 1,309 | r | library(plyr)
library(greport)
rm(list=ls())
#Loading Data
trainD <- read.table("X_train.txt")
trainL <- read.table("y_train.txt")
trainSub <- read.table("subject_train.txt")
testD <- read.table("X_test.txt")
testL <- read.table("y_test.txt")
testSub <- read.table("... |
## ---- include = FALSE----------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----setup, include=FALSE------------------------
knitr::opts_chunk$set(echo = TRUE)
## ------------------------------------------------
X <- 4
## ------------------------------------------------
librar... | /inst/doc/Introduction-to-R.R | no_license | Hamrita/StatMath_R | R | false | false | 3,782 | r | ## ---- include = FALSE----------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----setup, include=FALSE------------------------
knitr::opts_chunk$set(echo = TRUE)
## ------------------------------------------------
X <- 4
## ------------------------------------------------
librar... |
% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/helper_functions.R
\name{symb2I}
\alias{symb2I}
\title{Convert names of pathogen/combinations into 0/1 coding}
\usage{
symb2I(pathogen_name, pathogen_list)
}
\arguments{
\item{pathogen_name}{The allowed pathogen name (can be a combina... | /man/symb2I.Rd | permissive | swihart/nplcm | R | false | false | 742 | rd | % Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/helper_functions.R
\name{symb2I}
\alias{symb2I}
\title{Convert names of pathogen/combinations into 0/1 coding}
\usage{
symb2I(pathogen_name, pathogen_list)
}
\arguments{
\item{pathogen_name}{The allowed pathogen name (can be a combina... |
# Iowa
ncaag('https://www.sports-reference.com/cbb/boxscores/2023-03-17-01-iowa_w.html')
ncaag('https://www.sports-reference.com/cbb/boxscores/2023-03-19-01-iowa_w.html')
ncaag('https://www.sports-reference.com/cbb/boxscores/2023-03-24-03-iowa_w.html')
ncaag('https://www.sports-reference.com/cbb/boxscores/2023-03-26-03... | /scripts/tournament2023w.r | no_license | sportModel/basketball | R | false | false | 355 | r | # Iowa
ncaag('https://www.sports-reference.com/cbb/boxscores/2023-03-17-01-iowa_w.html')
ncaag('https://www.sports-reference.com/cbb/boxscores/2023-03-19-01-iowa_w.html')
ncaag('https://www.sports-reference.com/cbb/boxscores/2023-03-24-03-iowa_w.html')
ncaag('https://www.sports-reference.com/cbb/boxscores/2023-03-26-03... |
Transformer <- R6::R6Class(
classname = "Transformer",
public = list(
fit = function(X, y = NULL, ...) stop('Undefined'),
fit_transform = function(X, y = NULL, ...) {
# Override method if "transform" can be efficiently implemented immediately after fit.
self$fit(X, y)
... | /R/base.R | no_license | schmidtfederico/txtlib | R | false | false | 4,387 | r |
Transformer <- R6::R6Class(
classname = "Transformer",
public = list(
fit = function(X, y = NULL, ...) stop('Undefined'),
fit_transform = function(X, y = NULL, ...) {
# Override method if "transform" can be efficiently implemented immediately after fit.
self$fit(X, y)
... |
context("Functions")
test_that("merge_ibaq throws error without valid input", {
expect_error(merge_ibaq("test_data", test_pep))
expect_error(merge_ibaq(test_data, "test_pep"))
expect_error(merge_ibaq(test_data[,-(30)], test_pep))
expect_error(merge_ibaq(test_data[,-(31)], test_pep))
expect_error(merge_ibaq(t... | /tests/testthat/test.R | no_license | algom/DEPstoi | R | false | false | 6,410 | r | context("Functions")
test_that("merge_ibaq throws error without valid input", {
expect_error(merge_ibaq("test_data", test_pep))
expect_error(merge_ibaq(test_data, "test_pep"))
expect_error(merge_ibaq(test_data[,-(30)], test_pep))
expect_error(merge_ibaq(test_data[,-(31)], test_pep))
expect_error(merge_ibaq(t... |
setwd("C:/Users/SINDHU/Desktop/data science")
train=read.csv("train.csv")
str(train)
train <- train[,-c(10,11)]
#Converting integer variables to factor variables
train$season <- as.factor(train$season)
train$holiday <- as.factor(train$holiday)
train$workingday <- as.factor(train$workingday)
train$weather <-... | /Linear_Regression.R | no_license | sindhukrovvidi/Bike-sharing-demand | R | false | false | 3,782 | r | setwd("C:/Users/SINDHU/Desktop/data science")
train=read.csv("train.csv")
str(train)
train <- train[,-c(10,11)]
#Converting integer variables to factor variables
train$season <- as.factor(train$season)
train$holiday <- as.factor(train$holiday)
train$workingday <- as.factor(train$workingday)
train$weather <-... |
testlist <- list(A = structure(c(2.32784082958487e-308, 9.53818252170339e+295, 1.22810536108214e+146, 4.12396251261199e-221, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), .Dim = c(5L, 7L)), B = structure(0, .Dim = c(1L, 1L)))
result <- do.call(multivariance:::match_ro... | /multivariance/inst/testfiles/match_rows/AFL_match_rows/match_rows_valgrind_files/1613107166-test.R | no_license | akhikolla/updatedatatype-list3 | R | false | false | 344 | r | testlist <- list(A = structure(c(2.32784082958487e-308, 9.53818252170339e+295, 1.22810536108214e+146, 4.12396251261199e-221, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), .Dim = c(5L, 7L)), B = structure(0, .Dim = c(1L, 1L)))
result <- do.call(multivariance:::match_ro... |
MaxentProject <-
function(Species, VariableNamesIn, PredictorsIn, OutGridID, SubsetVariableNumber, VariableSubset, TrainSWD, TrainPresAbsID, Threshold, BetaMult, OutDirectIn..., Output, CatVarsPrefix, MaxentArgsIn) {
##############################################################################
# This R function... | /MaxEnt/RCode/Functions/MaxentProject_Function.R | no_license | jamesltracy/RSFSA_R | R | false | false | 4,455 | r | MaxentProject <-
function(Species, VariableNamesIn, PredictorsIn, OutGridID, SubsetVariableNumber, VariableSubset, TrainSWD, TrainPresAbsID, Threshold, BetaMult, OutDirectIn..., Output, CatVarsPrefix, MaxentArgsIn) {
##############################################################################
# This R function... |
createNullSampling <-function(X, groupLabel, N=100,
verbose=TRUE){
groupNum=length(levels(groupLabel));
samplePool=X;
groupMean=list();
for (i in 1:groupNum){
groupLabeli=which(groupLabel==levels(groupLabel)[i]);
Xi=X[groupLabeli,]
mi=colMeans(Xi);
groupMean[[i]]=mi;
}
... | /R/createNullSampling.R | permissive | nghiavtr/speaq | R | false | false | 662 | r | createNullSampling <-function(X, groupLabel, N=100,
verbose=TRUE){
groupNum=length(levels(groupLabel));
samplePool=X;
groupMean=list();
for (i in 1:groupNum){
groupLabeli=which(groupLabel==levels(groupLabel)[i]);
Xi=X[groupLabeli,]
mi=colMeans(Xi);
groupMean[[i]]=mi;
}
... |
# This script defines custom functions to be sourced in the
# `rna-expression-validation.R` script of this module.
#
# Chante Bethell for CCDL 2019
#
# # #### USAGE
# This script is intended to be sourced in the
# 'analyses/focal-cn-file-preparation/rna-expression-validation.R' script as
# follows:
#
# source(file.path... | /analyses/focal-cn-file-preparation/util/rna-expression-functions.R | permissive | 7716870223/OpenPBTA-analysis | R | false | false | 9,409 | r | # This script defines custom functions to be sourced in the
# `rna-expression-validation.R` script of this module.
#
# Chante Bethell for CCDL 2019
#
# # #### USAGE
# This script is intended to be sourced in the
# 'analyses/focal-cn-file-preparation/rna-expression-validation.R' script as
# follows:
#
# source(file.path... |
#' @templateVar class anova
#' @template title_desc_tidy
#'
#' @param x An `anova` objects, such as those created by [stats::anova()] or
#' [car::Anova()].
#' @template param_unused_dots
#'
#' @evalRd return_tidy(
#' "term",
#' "df",
#' "sumsq",
#' "meansq",
#' "statistic",
#' "p.value"
#' )
#'
#' @detail... | /R/stats-anova-tidiers.R | no_license | kyusque/broom | R | false | false | 7,865 | r | #' @templateVar class anova
#' @template title_desc_tidy
#'
#' @param x An `anova` objects, such as those created by [stats::anova()] or
#' [car::Anova()].
#' @template param_unused_dots
#'
#' @evalRd return_tidy(
#' "term",
#' "df",
#' "sumsq",
#' "meansq",
#' "statistic",
#' "p.value"
#' )
#'
#' @detail... |
# 09.08.2016 Alberto.Rovellini@vuw.ac.nz
# this is a script to read the opwall monitoring data
# 11.08.2016 Script is a bit better now. Next thing to do is to order the factors of the location
# for the plotting, but the renaming of the empty benthic types is working now and the code is
# better commented
# rename in... | /trunk/monitoringBenthic.R | no_license | somros/exploratoryHoga | R | false | false | 10,965 | r | # 09.08.2016 Alberto.Rovellini@vuw.ac.nz
# this is a script to read the opwall monitoring data
# 11.08.2016 Script is a bit better now. Next thing to do is to order the factors of the location
# for the plotting, but the renaming of the empty benthic types is working now and the code is
# better commented
# rename in... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/prune.phylo.rank.R
\name{prune.phylo.rank}
\alias{prune.phylo.rank}
\title{Prune Phylogenies to Higher Ranks}
\usage{
prune.phylo.rank(phy, tax, rank = "genus")
}
\arguments{
\item{phy}{An object of class \code{\link[ape]{phylo}}.}
\item{tax... | /man/prune.phylo.rank.Rd | no_license | heibl/megaptera | R | false | true | 871 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/prune.phylo.rank.R
\name{prune.phylo.rank}
\alias{prune.phylo.rank}
\title{Prune Phylogenies to Higher Ranks}
\usage{
prune.phylo.rank(phy, tax, rank = "genus")
}
\arguments{
\item{phy}{An object of class \code{\link[ape]{phylo}}.}
\item{tax... |
.DC_store
visualisations
*.xlsx | /.gitignore.R | no_license | charleaj/bti-tech-lab2 | R | false | false | 32 | r |
.DC_store
visualisations
*.xlsx |
# Generate a figure to show how ROC curves originate from the distributions
rm(list=ls())
require(warningsignals)
null <- rnorm(1000, 5.5, 1) # Consider a -1, 1 range?
test <- rnorm(1000, 6.5, 1)
init.pow <- function(null, test){
pow <- vector("list", length=2)
class(pow) <- "pow"
dummy <- list(loglik=0, k=0)
... | /demo/esa/roc_figure.R | no_license | cboettig/warningsignals | R | false | false | 2,220 | r | # Generate a figure to show how ROC curves originate from the distributions
rm(list=ls())
require(warningsignals)
null <- rnorm(1000, 5.5, 1) # Consider a -1, 1 range?
test <- rnorm(1000, 6.5, 1)
init.pow <- function(null, test){
pow <- vector("list", length=2)
class(pow) <- "pow"
dummy <- list(loglik=0, k=0)
... |
library( ReporteRs )
library( ggplot2)
# get data
source("data_pre_processing.R")
data <- data_pre_processing()
#################### visualisation of data analysis ############################
# Creation of mydoc, a mydocx object
html = bsdoc( title = 'Data_visualisation' )
html = addTitle(html, value = "Report", 1, ... | /data_analysing.R | no_license | jinxing1/ravelin_challenge | R | false | false | 9,748 | r | library( ReporteRs )
library( ggplot2)
# get data
source("data_pre_processing.R")
data <- data_pre_processing()
#################### visualisation of data analysis ############################
# Creation of mydoc, a mydocx object
html = bsdoc( title = 'Data_visualisation' )
html = addTitle(html, value = "Report", 1, ... |
test_that("Type of elements dataset:", {
datasetToTest <- resTspToHour(analyse_crps_news(dl_data_from(as.numeric(as.POSIXct("2018-12-11 1:00:00 EST"))), c("BTC", "ETH"))
, c("BTC", "ETH"))
expect_is(datasetToTest$time, "POSIXct")
expect_is(datasetToTest$BTC, "numeric")
expect_is(datasetToTest$ETH, "numeric")
})... | /CryptoShiny/tests/testthat/test-resTspToHour.R | permissive | souhailelaissaoui/Crypto-Trading-Tools | R | false | false | 321 | r |
test_that("Type of elements dataset:", {
datasetToTest <- resTspToHour(analyse_crps_news(dl_data_from(as.numeric(as.POSIXct("2018-12-11 1:00:00 EST"))), c("BTC", "ETH"))
, c("BTC", "ETH"))
expect_is(datasetToTest$time, "POSIXct")
expect_is(datasetToTest$BTC, "numeric")
expect_is(datasetToTest$ETH, "numeric")
})... |
# 4. faza: Analiza podatkov
require(ggdendro)
#Napoved prihodkov od prodaje za panogo z največjimi prihodki za naslenjih 6 let
najboljsa <- melt(prva, Panoge.zap., id.vars =c("Panoga", "Leto"),
measure.vars = c("Prihodki_od_prodaje_v_tisoc_EUR", "Bruto_poslovni_presezek_v_tisoc_EUR", "Stevilo_zapos... | /analiza/analiza.r | permissive | melamalej/APPR-2018-19 | R | false | false | 1,976 | r | # 4. faza: Analiza podatkov
require(ggdendro)
#Napoved prihodkov od prodaje za panogo z največjimi prihodki za naslenjih 6 let
najboljsa <- melt(prva, Panoge.zap., id.vars =c("Panoga", "Leto"),
measure.vars = c("Prihodki_od_prodaje_v_tisoc_EUR", "Bruto_poslovni_presezek_v_tisoc_EUR", "Stevilo_zapos... |
library(tidyverse)
library(data.table)
library(randomForest)
library(mice)
library(mlr)
source("na_replace.R")
# Custom Function ---------------------------------------------------------
dummify <- function(data){
# Create Features
features <- colnames(data)
for(f in features) {
if ((class(data[[f]])=="fact... | /auto_predict.R | no_license | aljrico/kaggle_hcdr | R | false | false | 2,053 | r | library(tidyverse)
library(data.table)
library(randomForest)
library(mice)
library(mlr)
source("na_replace.R")
# Custom Function ---------------------------------------------------------
dummify <- function(data){
# Create Features
features <- colnames(data)
for(f in features) {
if ((class(data[[f]])=="fact... |
testlist <- list(a = 0L, b = 0L, x = c(-121423L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67... | /grattan/inst/testfiles/anyOutside/libFuzzer_anyOutside/anyOutside_valgrind_files/1610131256-test.R | no_license | akhikolla/updated-only-Issues | R | false | false | 670 | r | testlist <- list(a = 0L, b = 0L, x = c(-121423L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67372037L, -67... |
#Library for RNAseq analysis
#05-15
#Christian Meyer
#Contact christian.t.meyer@vanderbilt.edu
#Functions and libraries to load initially
#location of Data:
dataLoc = "~/Documents/Lab/WGCNA_analysis/GSE58135_RAW/FPKM"
#location of MRSR report
MRSRreport = ""
#location of
##Initial library loading and workspace config... | /Lib_RNAseq.R | no_license | meyerct1/LabCode | R | false | false | 3,021 | r | #Library for RNAseq analysis
#05-15
#Christian Meyer
#Contact christian.t.meyer@vanderbilt.edu
#Functions and libraries to load initially
#location of Data:
dataLoc = "~/Documents/Lab/WGCNA_analysis/GSE58135_RAW/FPKM"
#location of MRSR report
MRSRreport = ""
#location of
##Initial library loading and workspace config... |
library(gamlss)
### Name: gamlss
### Title: Generalized Additive Models for Location Scale and Shape
### Aliases: gamlss is.gamlss gamlssNews
### Keywords: regression
### ** Examples
data(abdom)
mod<-gamlss(y~pb(x),sigma.fo=~pb(x),family=BCT, data=abdom, method=mixed(1,20))
plot(mod)
rm(mod)
| /data/genthat_extracted_code/gamlss/examples/gamlss.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 301 | r | library(gamlss)
### Name: gamlss
### Title: Generalized Additive Models for Location Scale and Shape
### Aliases: gamlss is.gamlss gamlssNews
### Keywords: regression
### ** Examples
data(abdom)
mod<-gamlss(y~pb(x),sigma.fo=~pb(x),family=BCT, data=abdom, method=mixed(1,20))
plot(mod)
rm(mod)
|
library(raster)
library(rgdal)
landsat<- stack("Landsat7.tif")
landsat
plotRGB(landsat, r = 1, g = 2, b = 3, alpha=80,stretch="hist")
library(shiny)
ui <- fluidPage(
sliderInput(inputId = "num",
label = "Transparency",
value = 100, min = 1, max = 255),
sliderInput(i... | /Assignment Spatial R/Shiny.R | no_license | QiZhiqi/262 | R | false | false | 1,005 | r | library(raster)
library(rgdal)
landsat<- stack("Landsat7.tif")
landsat
plotRGB(landsat, r = 1, g = 2, b = 3, alpha=80,stretch="hist")
library(shiny)
ui <- fluidPage(
sliderInput(inputId = "num",
label = "Transparency",
value = 100, min = 1, max = 255),
sliderInput(i... |
#!/usr/bin/env Rscript
# Verilog sin ROM
n <- 32
m <- 8-1
cat(paste("reg [", m,":0" ,"] sin [0:",n-1,"];\n", sep=""))
cat("initial begin\n")
a <- floor((1+sin((0:n)*2*pi/n))*(2^m-1))
if (T) { # Hex
for (i in 1:(length(a)-1)){
cat(paste(" sin[",i-1 ,"] = ", 2, "'h",
format(as.hexmode(a[i+1]),upper.case=T, width=2... | /sin.r | no_license | humdeum/spinv | R | false | false | 903 | r | #!/usr/bin/env Rscript
# Verilog sin ROM
n <- 32
m <- 8-1
cat(paste("reg [", m,":0" ,"] sin [0:",n-1,"];\n", sep=""))
cat("initial begin\n")
a <- floor((1+sin((0:n)*2*pi/n))*(2^m-1))
if (T) { # Hex
for (i in 1:(length(a)-1)){
cat(paste(" sin[",i-1 ,"] = ", 2, "'h",
format(as.hexmode(a[i+1]),upper.case=T, width=2... |
% Generated by roxygen2 (4.0.2): do not edit by hand
\docType{package}
\name{griffun}
\alias{griffun}
\alias{griffun-package}
\title{My library of functions}
\description{
My library of functions
}
| /man/griffun.Rd | no_license | SathishN/griffun | R | false | false | 199 | rd | % Generated by roxygen2 (4.0.2): do not edit by hand
\docType{package}
\name{griffun}
\alias{griffun}
\alias{griffun-package}
\title{My library of functions}
\description{
My library of functions
}
|
% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/get_rcards.R
\name{get_rcards}
\alias{get_rcards}
\title{get_rcards()}
\usage{
get_rcards(file, format_type = "format1")
}
\arguments{
\item{file}{The name of the file which the data are to be read from (including the .pdf extension).... | /man/get_rcards.Rd | no_license | thelayc/laycReportCards | R | false | false | 663 | rd | % Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/get_rcards.R
\name{get_rcards}
\alias{get_rcards}
\title{get_rcards()}
\usage{
get_rcards(file, format_type = "format1")
}
\arguments{
\item{file}{The name of the file which the data are to be read from (including the .pdf extension).... |
library(here)
library(prophet)
library(tidyverse)
# load(here("data", "tidy_data", "BBDD_Germany_20180619.RData"))
# BBDD_Germany <- BBDD_Germany %>% as.tibble()
#
# tb_data <- BBDD_Germany %>%
# transmute(ds = fecha,
# y = Reservas_Ocio_Berlin)
load(here("data", "tidy_data", "all_V3.RData"))
rm(xt... | /code/raw_code/my_example.R | no_license | miguel-conde/prophet_primer | R | false | false | 10,822 | r | library(here)
library(prophet)
library(tidyverse)
# load(here("data", "tidy_data", "BBDD_Germany_20180619.RData"))
# BBDD_Germany <- BBDD_Germany %>% as.tibble()
#
# tb_data <- BBDD_Germany %>%
# transmute(ds = fecha,
# y = Reservas_Ocio_Berlin)
load(here("data", "tidy_data", "all_V3.RData"))
rm(xt... |
% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/dplyr.r
\docType{package}
\name{dplyr}
\alias{dplyr}
\alias{dplyr-package}
\title{dplyr: a grammar of data manipulation}
\description{
dplyr provides a flexible grammar of data manipulation. It's the next
iteration of plyr, focussed o... | /man/dplyr.Rd | no_license | PriyankaSGA/dplyr | R | false | false | 865 | rd | % Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/dplyr.r
\docType{package}
\name{dplyr}
\alias{dplyr}
\alias{dplyr-package}
\title{dplyr: a grammar of data manipulation}
\description{
dplyr provides a flexible grammar of data manipulation. It's the next
iteration of plyr, focussed o... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/dplyr.R
\name{mutate.PKNCAresults}
\alias{mutate.PKNCAresults}
\alias{mutate.PKNCAconc}
\alias{mutate.PKNCAdose}
\title{dplyr mutate-based modification for PKNCA}
\usage{
\method{mutate}{PKNCAresults}(.data, ...)
\method{mutate}{PK... | /man/mutate.PKNCAresults.Rd | no_license | cran/PKNCA | R | false | true | 1,267 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/dplyr.R
\name{mutate.PKNCAresults}
\alias{mutate.PKNCAresults}
\alias{mutate.PKNCAconc}
\alias{mutate.PKNCAdose}
\title{dplyr mutate-based modification for PKNCA}
\usage{
\method{mutate}{PKNCAresults}(.data, ...)
\method{mutate}{PK... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/heavy_model.R
\name{HEAVYmodel}
\alias{HEAVYmodel}
\title{HEAVY Model estimation}
\usage{
HEAVYmodel(
data,
p = matrix(c(0, 0, 1, 1), ncol = 2),
q = matrix(c(1, 0, 0, 1), ncol = 2),
startingValues = NULL,
LB = NULL,
UB = NULL,
b... | /highfrequency/man/HEAVYmodel.Rd | no_license | akhikolla/InformationHouse | R | false | true | 6,692 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/heavy_model.R
\name{HEAVYmodel}
\alias{HEAVYmodel}
\title{HEAVY Model estimation}
\usage{
HEAVYmodel(
data,
p = matrix(c(0, 0, 1, 1), ncol = 2),
q = matrix(c(1, 0, 0, 1), ncol = 2),
startingValues = NULL,
LB = NULL,
UB = NULL,
b... |
rm(list=ls())
training<-read.csv("F:/Thesis/DataMing+MachieLeaning/CAD/RFE-RF/CAD Dataset Train70p.csv")
testing<-read.csv("F:/Thesis/DataMing+MachieLeaning/CAD/RFE-RF/CAD Dataset Test30p.csv")
sapdata<-read.csv("F:/Thesis/DataMing+MachieLeaning/CAD/RFE-RF/Sap_SVM_Selected.csv")
seedarray <- c(131,124,451,689,320... | /RFE-RF/SVM.R | permissive | UtshaDas/CAD-Classification | R | false | false | 3,027 | r | rm(list=ls())
training<-read.csv("F:/Thesis/DataMing+MachieLeaning/CAD/RFE-RF/CAD Dataset Train70p.csv")
testing<-read.csv("F:/Thesis/DataMing+MachieLeaning/CAD/RFE-RF/CAD Dataset Test30p.csv")
sapdata<-read.csv("F:/Thesis/DataMing+MachieLeaning/CAD/RFE-RF/Sap_SVM_Selected.csv")
seedarray <- c(131,124,451,689,320... |
context("dplyr")
sc <- testthat_spark_connection()
iris_tbl <- testthat_tbl("iris")
test_requires("dplyr")
df1 <- tibble(a = 1:3, b = letters[1:3])
df2 <- tibble(b = letters[1:3], c = letters[24:26])
df1_tbl <- testthat_tbl("df1")
df2_tbl <- testthat_tbl("df2")
test_that("the implementation of 'mutate' functions a... | /tests/testthat/test-dplyr.R | permissive | COUBANAO/sparklyr | R | false | false | 7,649 | r | context("dplyr")
sc <- testthat_spark_connection()
iris_tbl <- testthat_tbl("iris")
test_requires("dplyr")
df1 <- tibble(a = 1:3, b = letters[1:3])
df2 <- tibble(b = letters[1:3], c = letters[24:26])
df1_tbl <- testthat_tbl("df1")
df2_tbl <- testthat_tbl("df2")
test_that("the implementation of 'mutate' functions a... |
### Coauthors network; i.e., authors as vertices and two vertices
### joined by an edge if the two authors have written a joint paper.
library("ISIPTA")
demo("regular-contributors", package = "ISIPTA",
verbose = FALSE, echo = FALSE, ask = FALSE)
data("papers_authors", package = "ISIPTA")
coauthors_... | /demo/coauthors-network.R | no_license | mjaeugster/ISIPTA | R | false | false | 4,807 | r | ### Coauthors network; i.e., authors as vertices and two vertices
### joined by an edge if the two authors have written a joint paper.
library("ISIPTA")
demo("regular-contributors", package = "ISIPTA",
verbose = FALSE, echo = FALSE, ask = FALSE)
data("papers_authors", package = "ISIPTA")
coauthors_... |
\name{print_relimp}
\alias{print_relimp}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{Print tables of estimates}
\description{
Presents various estimates for measures of educational differentials, the relative importance of primary and secondary effects and corresponding standard errors a... | /man/print_relimp.Rd | no_license | cran/DECIDE | R | false | false | 2,036 | rd | \name{print_relimp}
\alias{print_relimp}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{Print tables of estimates}
\description{
Presents various estimates for measures of educational differentials, the relative importance of primary and secondary effects and corresponding standard errors a... |
## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## -----------------------------------------------------------------------------
library("cdata")
data <- wrapr::build_frame(
"record_id" , "row" , "col1", "col2", "col3" |... | /inst/doc/general_transform.R | no_license | cran/cdata | R | false | false | 2,847 | r | ## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## -----------------------------------------------------------------------------
library("cdata")
data <- wrapr::build_frame(
"record_id" , "row" , "col1", "col2", "col3" |... |
pacman::p_load(tidyverse,ggrepel, lubridate, ggridges, ggalt, Rcolorbrewer)
the_dark_knight <- theme(panel.background = element_rect(fill = "#404040"), # This is my theme I will use
plot.background = element_rect(fill = "#404040"),
panel.grid.major.y = element_bla... | /Full_Projects/Tidy_Tues_complete/Broadway Musicals/Musicals.r | no_license | jashonnew/DSci-Actua-Rjunkie | R | false | false | 3,511 | r | pacman::p_load(tidyverse,ggrepel, lubridate, ggridges, ggalt, Rcolorbrewer)
the_dark_knight <- theme(panel.background = element_rect(fill = "#404040"), # This is my theme I will use
plot.background = element_rect(fill = "#404040"),
panel.grid.major.y = element_bla... |
svc <- paws::networkmanager()
test_that("describe_global_networks", {
expect_error(svc$describe_global_networks(), NA)
})
test_that("describe_global_networks", {
expect_error(svc$describe_global_networks(MaxResults = 20), NA)
})
| /paws/tests/testthat/test_networkmanager.R | permissive | TWarczak/paws | R | false | false | 235 | r | svc <- paws::networkmanager()
test_that("describe_global_networks", {
expect_error(svc$describe_global_networks(), NA)
})
test_that("describe_global_networks", {
expect_error(svc$describe_global_networks(MaxResults = 20), NA)
})
|
suppressMessages(library(dplyr))
suppressMessages(library(glmnet))
suppressMessages((library(reshape2)))
suppressMessages(library(methods))
suppressMessages(library(doMC))
suppressMessages(library(doRNG))
suppressMessages(library(tidyr))
suppressMessages(library(tibble))
"%&%" <- function(a,b) paste(a,b, sep = "")
#... | /01_pull_snps_driving.R | no_license | annie-novak9/Coloc | R | false | false | 4,732 | r |
suppressMessages(library(dplyr))
suppressMessages(library(glmnet))
suppressMessages((library(reshape2)))
suppressMessages(library(methods))
suppressMessages(library(doMC))
suppressMessages(library(doRNG))
suppressMessages(library(tidyr))
suppressMessages(library(tibble))
"%&%" <- function(a,b) paste(a,b, sep = "")
#... |
mardia<-function(x){
x<-data.frame(x)
n<-dim(x)[1]
p<-dim(x)[2]
bar<-mean(x)
S<-matrix(var(x)*(n-1)/n,2,2)
b1.ma<-matrix(NA,n,n)
b2.ma<-rep(NA,n)
for(i in 1:n){
for(j in 1:n){
b1.ma[i,j]<-(sum((x[i,]-bar)*(solve(S)%*%t(x[j,]-bar))))^3
}
b2.ma[i]<-(sum((x[i,]-bar)*(solve(S)%*%t(x[i,]-bar))))^2
}
b1<-sum(b1... | /Z Old Tex Files/program R/Apéndice/Mardia.r | no_license | cualquiercosa327/2ed-team | R | false | false | 783 | r | mardia<-function(x){
x<-data.frame(x)
n<-dim(x)[1]
p<-dim(x)[2]
bar<-mean(x)
S<-matrix(var(x)*(n-1)/n,2,2)
b1.ma<-matrix(NA,n,n)
b2.ma<-rep(NA,n)
for(i in 1:n){
for(j in 1:n){
b1.ma[i,j]<-(sum((x[i,]-bar)*(solve(S)%*%t(x[j,]-bar))))^3
}
b2.ma[i]<-(sum((x[i,]-bar)*(solve(S)%*%t(x[i,]-bar))))^2
}
b1<-sum(b1... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/network_utils.R
\name{connect_gap_modules}
\alias{connect_gap_modules}
\title{Loop through each of the modules and connect the adjacent ones which is only allow.gap away from each other}
\usage{
connect_gap_modules(final_summary, final_geneli... | /man/connect_gap_modules.Rd | no_license | naikai/sake | R | false | true | 764 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/network_utils.R
\name{connect_gap_modules}
\alias{connect_gap_modules}
\title{Loop through each of the modules and connect the adjacent ones which is only allow.gap away from each other}
\usage{
connect_gap_modules(final_summary, final_geneli... |
library(Thermimage)
### Name: qrad
### Title: Estimates the area specific heat transfer by radiation (W/m2)
### Aliases: qrad
### ** Examples
## The function is currently defined as
function (Ts = 30, Ta = 25, Tg = NULL, RH = 0.5, E = 0.96, rho = 0.1,
cloud = 0, SE = 0)
{
qrad <- qabs(Ta = Ta, Tg = Tg, R... | /data/genthat_extracted_code/Thermimage/examples/qrad.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 1,004 | r | library(Thermimage)
### Name: qrad
### Title: Estimates the area specific heat transfer by radiation (W/m2)
### Aliases: qrad
### ** Examples
## The function is currently defined as
function (Ts = 30, Ta = 25, Tg = NULL, RH = 0.5, E = 0.96, rho = 0.1,
cloud = 0, SE = 0)
{
qrad <- qabs(Ta = Ta, Tg = Tg, R... |
#------------------------------------------------#
# Home Assignment Geoffrey 3
#------------------------------------------------#
rm(list=ls())
graphics.off()
setwd("~/Documents/Master/Statistics /Exams")
library(ggplot2)
#write function for simulating data with a given n_group and output only the p-value
ao... | /Geoffrey_Assignment_3.R | no_license | boeltzig/PSYP13_Assignments_Marius | R | false | false | 2,795 | r | #------------------------------------------------#
# Home Assignment Geoffrey 3
#------------------------------------------------#
rm(list=ls())
graphics.off()
setwd("~/Documents/Master/Statistics /Exams")
library(ggplot2)
#write function for simulating data with a given n_group and output only the p-value
ao... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/hmc_glmm_logistic.R
\name{g_glmm_bin_posterior}
\alias{g_glmm_bin_posterior}
\title{Gradient of a Logistic Mixed Effects model log posterior}
\usage{
g_glmm_bin_posterior(
theta,
y,
X,
Z,
m,
q = 1,
A = 10000,
nulambda = 1,
A... | /man/g_glmm_bin_posterior.Rd | no_license | be-green/hmclearn | R | false | true | 2,761 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/hmc_glmm_logistic.R
\name{g_glmm_bin_posterior}
\alias{g_glmm_bin_posterior}
\title{Gradient of a Logistic Mixed Effects model log posterior}
\usage{
g_glmm_bin_posterior(
theta,
y,
X,
Z,
m,
q = 1,
A = 10000,
nulambda = 1,
A... |
library(synapseClient)
synapseLogin()
# This code is implemented for curating data which has a features with gene symbol and non replicated samples with averaged replicates
# uploaded in Synapse with RObject
# Dataset <- add Layer
# project id <- add Dataset, etc
#####################################################... | /curation_code/curation_GSK_exprs.R | no_license | insockjang/DrugResponse | R | false | false | 3,721 | r | library(synapseClient)
synapseLogin()
# This code is implemented for curating data which has a features with gene symbol and non replicated samples with averaged replicates
# uploaded in Synapse with RObject
# Dataset <- add Layer
# project id <- add Dataset, etc
#####################################################... |
library(shiny)
library(dplyr)
library(plotly)
library(shinythemes)
ui <- navbarPage(
# returns a theme
theme = shinytheme("slate"),
"Law, Happiness, & Gun Violence",
# Introduction tab
tabPanel(
"Introduction",
includeCSS("www/style.css"),
div(
class = "center",
h1("Why It Matters"),... | /ui.R | no_license | tleung22/final-project | R | false | false | 8,825 | r | library(shiny)
library(dplyr)
library(plotly)
library(shinythemes)
ui <- navbarPage(
# returns a theme
theme = shinytheme("slate"),
"Law, Happiness, & Gun Violence",
# Introduction tab
tabPanel(
"Introduction",
includeCSS("www/style.css"),
div(
class = "center",
h1("Why It Matters"),... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/submitter.R
\name{wait_for_qsub}
\alias{wait_for_qsub}
\title{Wait for qsub job}
\usage{
wait_for_qsub(remote, job_id, quiet = TRUE)
}
\arguments{
\item{remote}{(\code{\link{remote_server}}) The remote server information.}
\item{job_id}{(\co... | /man/wait_for_qsub.Rd | no_license | zachary-foster/qsubmitter | R | false | true | 500 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/submitter.R
\name{wait_for_qsub}
\alias{wait_for_qsub}
\title{Wait for qsub job}
\usage{
wait_for_qsub(remote, job_id, quiet = TRUE)
}
\arguments{
\item{remote}{(\code{\link{remote_server}}) The remote server information.}
\item{job_id}{(\co... |
# initialise h2o cluster
localH2O <- h2o.init(ip = "localhost", port = 54321, startH2O = TRUE, nthreads = -1)
# get max / min for scaling
maxs <- apply(summary.dt %>% select(-device_id, -epoch_id, -steps_bin, -steps, -n), 2, max)
mins <- apply(summary.dt %>% select(-device_id, -epoch_id, -steps_bin, -steps, -n), 2, ... | /src/03 - model.binned.h2o.R | no_license | irishlouis/actigraphy_device_id | R | false | false | 8,898 | r |
# initialise h2o cluster
localH2O <- h2o.init(ip = "localhost", port = 54321, startH2O = TRUE, nthreads = -1)
# get max / min for scaling
maxs <- apply(summary.dt %>% select(-device_id, -epoch_id, -steps_bin, -steps, -n), 2, max)
mins <- apply(summary.dt %>% select(-device_id, -epoch_id, -steps_bin, -steps, -n), 2, ... |
#####-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#####
#####-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#####
##### Allele/Genotype Analysis at different Focal Points #####
#####-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#---... | /Crohns Disease/Allele Kernel Analysis/Focal Point Analysis/Crohn_focal_point_analysis.R | no_license | petertea96/Genetic-Association-Methodology-Research | R | false | false | 5,356 | r | #####-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#####
#####-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#####
##### Allele/Genotype Analysis at different Focal Points #####
#####-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#-----#---... |
/MP3_project.R | no_license | Dlaureano/mini-project-3 | R | false | false | 11,713 | r | ||
# Of the four types of sources indicated by the type (point, nonpoint,
# onroad, nonroad) variable, which of these four sources have
# seen decreases in emissions from 1999–2008 for Baltimore
# City? Which have seen increases in emissions from 1999–2008?
# Use the ggplot2 plotting system to make a plot answer this ... | /plot3.R | no_license | mbirgen/Ex_Data_An_Project2 | R | false | false | 835 | r | # Of the four types of sources indicated by the type (point, nonpoint,
# onroad, nonroad) variable, which of these four sources have
# seen decreases in emissions from 1999–2008 for Baltimore
# City? Which have seen increases in emissions from 1999–2008?
# Use the ggplot2 plotting system to make a plot answer this ... |
library(dplyr)
install.packages("ggplot2")
str(ggplot2::mpg)
head(ggplot2::mpg)
#문제1
mpg<-as.data.frame(ggplot2::mpg)
#1-1
mpg %>% select()
mpg %>% filter()
nrow(mpg)
ncol(mpg)
#1-2
mpg %>% head(10)
#1-3
mpg %>% tail(10)
#1-4
mpg %>% View()
#1-5
summary(mpg)
#1-6
str(mpg)
#2-1
mpg<-mpg %>% rename("city"="cty","high... | /dplyr_lab1.R | no_license | hsyun89/Rstudy | R | false | false | 1,750 | r | library(dplyr)
install.packages("ggplot2")
str(ggplot2::mpg)
head(ggplot2::mpg)
#문제1
mpg<-as.data.frame(ggplot2::mpg)
#1-1
mpg %>% select()
mpg %>% filter()
nrow(mpg)
ncol(mpg)
#1-2
mpg %>% head(10)
#1-3
mpg %>% tail(10)
#1-4
mpg %>% View()
#1-5
summary(mpg)
#1-6
str(mpg)
#2-1
mpg<-mpg %>% rename("city"="cty","high... |
library(ProTrackR)
### Name: name
### Title: Obtain or replace the name of a PTModule or PTSample
### Aliases: name name,PTSample-method name<-
### name<-,PTSample,character-method name,PTModule-method
### name<-,PTModule,character-method
### ** Examples
data("mod.intro")
## get the name of mod.intro:
name(mod... | /data/genthat_extracted_code/ProTrackR/examples/name.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 616 | r | library(ProTrackR)
### Name: name
### Title: Obtain or replace the name of a PTModule or PTSample
### Aliases: name name,PTSample-method name<-
### name<-,PTSample,character-method name,PTModule-method
### name<-,PTModule,character-method
### ** Examples
data("mod.intro")
## get the name of mod.intro:
name(mod... |
testlist <- list(AgeVector = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ExpressionSet = structure(c(1.63064200184954e+212, 1.11558267938731e+157, 3.85183323117031e+59, 7.59955788945772e-256, 5.5539... | /myTAI/inst/testfiles/cpp_omitMatrix/AFL_cpp_omitMatrix/cpp_omitMatrix_valgrind_files/1615845589-test.R | no_license | akhikolla/updatedatatype-list3 | R | false | false | 1,091 | r | testlist <- list(AgeVector = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ExpressionSet = structure(c(1.63064200184954e+212, 1.11558267938731e+157, 3.85183323117031e+59, 7.59955788945772e-256, 5.5539... |
## Part III: Fish Community Composition between Reefs
#Here again, we will remove all the object to clean the memory
knitr::opts_chunk$set(eval = FALSE)
remove(list = ls())
cran_packages <- c("knitr", "phyloseqGraphTest", "phyloseq", "shiny", "microbiome",
"tidyverse", "miniUI", "caret", "pls", ... | /03_host_community.R | no_license | mccheutin/Seychelles | R | false | false | 6,427 | r | ## Part III: Fish Community Composition between Reefs
#Here again, we will remove all the object to clean the memory
knitr::opts_chunk$set(eval = FALSE)
remove(list = ls())
cran_packages <- c("knitr", "phyloseqGraphTest", "phyloseq", "shiny", "microbiome",
"tidyverse", "miniUI", "caret", "pls", ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/bulma-card.R
\name{bulmaCard}
\alias{bulmaCard}
\alias{bulmaCardHeader}
\alias{bulmaCardHeaderTitle}
\alias{bulmaCardContent}
\alias{bulmaCardFooter}
\alias{bulmaCardFooterItem}
\title{Add card}
\usage{
bulmaCard(...)
bulmaCardHeader(...)
b... | /man/card.Rd | no_license | PaulC91/shinybulma | R | false | true | 1,145 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/bulma-card.R
\name{bulmaCard}
\alias{bulmaCard}
\alias{bulmaCardHeader}
\alias{bulmaCardHeaderTitle}
\alias{bulmaCardContent}
\alias{bulmaCardFooter}
\alias{bulmaCardFooterItem}
\title{Add card}
\usage{
bulmaCard(...)
bulmaCardHeader(...)
b... |
## ----------------------------------------------------------
## makeCacheMatrix -
##
## defines a function that takes a matrix as a parameter,
## and defines access methods to the matrix and a
## value of the matrix inverse, to be calculated and stored
makeCacheMatrix <- function(x = matrix()) {
m <-... | /cachematrix.R | no_license | lastlift/ProgrammingAssignment2 | R | false | false | 1,413 | r | ## ----------------------------------------------------------
## makeCacheMatrix -
##
## defines a function that takes a matrix as a parameter,
## and defines access methods to the matrix and a
## value of the matrix inverse, to be calculated and stored
makeCacheMatrix <- function(x = matrix()) {
m <-... |
##############################################################################
## STAR for Testing on DAGs
##################################################################
############
source("generic_STAR.R")
#### Find_Candidate_Fun
find.DAG.strong <- function(covar, mask, prop = NULL,
... | /R/STAR_DAG.R | no_license | lihualei71/STAR | R | false | false | 4,699 | r | ##############################################################################
## STAR for Testing on DAGs
##################################################################
############
source("generic_STAR.R")
#### Find_Candidate_Fun
find.DAG.strong <- function(covar, mask, prop = NULL,
... |
min.rv <- function(..., na.rm=FALSE) {
if (anyisrv(...)) {
simapply(cbind.rv(...), base::min, na.rm=na.rm)
} else {
base::min(..., na.rm=na.rm)
}
}
max.rv <- function(..., na.rm=FALSE) {
if (anyisrv(...)) {
simapply(cbind.rv(...), base::max, na.rm=na.rm)
} else {
base::max(..., na.rm=na.rm)... | /rv/R/min_max_rv.R | no_license | ingted/R-Examples | R | false | false | 1,054 | r |
min.rv <- function(..., na.rm=FALSE) {
if (anyisrv(...)) {
simapply(cbind.rv(...), base::min, na.rm=na.rm)
} else {
base::min(..., na.rm=na.rm)
}
}
max.rv <- function(..., na.rm=FALSE) {
if (anyisrv(...)) {
simapply(cbind.rv(...), base::max, na.rm=na.rm)
} else {
base::max(..., na.rm=na.rm)... |
CV.calc<-function(x){
cv.out=(sd(x)/mean(x))*100
return(cv.out)
}
filter.fun<-function(data,low_pct,high_pct,cv,exclude){
norm_data=apply(data,1,function(x) sqrt(sum(x^2)) )
data_sub=data[(norm_data < quantile(norm_data , high_pct) & norm_data > quantile(norm_data,low_pct) ),]
if(cv!=0) {
... | /FUNS_new/data_filter.R | no_license | dhard/semi-CAM | R | false | false | 976 | r | CV.calc<-function(x){
cv.out=(sd(x)/mean(x))*100
return(cv.out)
}
filter.fun<-function(data,low_pct,high_pct,cv,exclude){
norm_data=apply(data,1,function(x) sqrt(sum(x^2)) )
data_sub=data[(norm_data < quantile(norm_data , high_pct) & norm_data > quantile(norm_data,low_pct) ),]
if(cv!=0) {
... |
\name{tm.divisiveWords}
\alias{tm.divisiveWords}
\title{Divisive Words}
\usage{
tm.divisiveWords(tm,species)
}
\description{
Reuturns words that seperate a species from all other species
}
\examples{
tm.divisiveWords(tm.ecology,3,"Cryptococcus Neoformans")
}
| /man/tm.divisiveWords.Rd | no_license | molikd/MicrobeAssociator | R | false | false | 261 | rd | \name{tm.divisiveWords}
\alias{tm.divisiveWords}
\title{Divisive Words}
\usage{
tm.divisiveWords(tm,species)
}
\description{
Reuturns words that seperate a species from all other species
}
\examples{
tm.divisiveWords(tm.ecology,3,"Cryptococcus Neoformans")
}
|
#!/usr/bin/Rscript
## Script to run oncodriverClust
## Separate because I need to run all the samples together
setwd("/mnt/lustre/users/k1469280/mourikisa/data/OAC")
cat("Sourcing relevant functions...")
source("functions.R")
OUT = commandArgs(trailingOnly = TRUE)[1]
## Mutations
# mainDirs = c("~/data/OAC/71_OAC... | /raw_scripts/runOncodriveClust.R | no_license | ciccalab/sysSVM | R | false | false | 2,096 | r | #!/usr/bin/Rscript
## Script to run oncodriverClust
## Separate because I need to run all the samples together
setwd("/mnt/lustre/users/k1469280/mourikisa/data/OAC")
cat("Sourcing relevant functions...")
source("functions.R")
OUT = commandArgs(trailingOnly = TRUE)[1]
## Mutations
# mainDirs = c("~/data/OAC/71_OAC... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plotJPEG.R
\name{plotJPEG}
\alias{plotJPEG}
\title{Plot JPEG file using base graphics}
\usage{
plotJPEG(input_jpeg, add = FALSE)
}
\arguments{
\item{input_jpeg}{string. Input filename of JPG picture.}
}
\description{
Internal function to plot... | /man/plotJPEG.Rd | no_license | yangxhcaf/GWRFC | R | false | true | 340 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plotJPEG.R
\name{plotJPEG}
\alias{plotJPEG}
\title{Plot JPEG file using base graphics}
\usage{
plotJPEG(input_jpeg, add = FALSE)
}
\arguments{
\item{input_jpeg}{string. Input filename of JPG picture.}
}
\description{
Internal function to plot... |
testlist <- list(Beta = 0, CVLinf = -1.37672045511449e-268, FM = 3.81959242373749e-313, L50 = 0, L95 = 0, LenBins = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), LenMids = numeric(0), Linf = 0, MK = 0, Ml = numeric(0), Prob = structure(0, .Dim = c(1L, 1L)), SL50 = 1.2494... | /DLMtool/inst/testfiles/LBSPRgen/AFL_LBSPRgen/LBSPRgen_valgrind_files/1615827406-test.R | no_license | akhikolla/updatedatatype-list2 | R | false | false | 487 | r | testlist <- list(Beta = 0, CVLinf = -1.37672045511449e-268, FM = 3.81959242373749e-313, L50 = 0, L95 = 0, LenBins = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), LenMids = numeric(0), Linf = 0, MK = 0, Ml = numeric(0), Prob = structure(0, .Dim = c(1L, 1L)), SL50 = 1.2494... |
# Basic R commands and usage
# 30 January 2018
# LAP
library(ggplot2)
#Using the assignment operator
x <- 5 # preferred
print(x)
y = 4 # legal but not used except in function
y = y+1.1
y <- y+1
plantHeight <- 5.5
# Class Feb 1 2018
# the combine function
z<-c(3,7,7,10) # simple atomic vector
print(z)
typeof(z) # get... | /FirstProject/BasicCoding.R | no_license | lpett/Bio381_2018 | R | false | false | 7,907 | r | # Basic R commands and usage
# 30 January 2018
# LAP
library(ggplot2)
#Using the assignment operator
x <- 5 # preferred
print(x)
y = 4 # legal but not used except in function
y = y+1.1
y <- y+1
plantHeight <- 5.5
# Class Feb 1 2018
# the combine function
z<-c(3,7,7,10) # simple atomic vector
print(z)
typeof(z) # get... |
#server
options(shiny.maxRequestSize=10000*1024^2)
server <- function(input, output, session) {
fileObs <- callModule(file_observed_server, "obs")
fileSim <- callModule(file_simulated_server, "sim")
observeEvent(fileObs(),{
updateSelectizeInput(session, inputId = "yvar", choices = names(fileObs()))
... | /server.R | no_license | jameswcraig/shiny-vpc | R | false | false | 34,931 | r | #server
options(shiny.maxRequestSize=10000*1024^2)
server <- function(input, output, session) {
fileObs <- callModule(file_observed_server, "obs")
fileSim <- callModule(file_simulated_server, "sim")
observeEvent(fileObs(),{
updateSelectizeInput(session, inputId = "yvar", choices = names(fileObs()))
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/storage_functions.R
\name{objects.get}
\alias{objects.get}
\title{Retrieves objects or their associated metadata.}
\usage{
objects.get(bucket, object, projection = NULL)
}
\arguments{
\item{bucket}{Name of the bucket in which the object resid... | /googlestoragev1beta1.auto/man/objects.get.Rd | permissive | Phippsy/autoGoogleAPI | R | false | true | 1,173 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/storage_functions.R
\name{objects.get}
\alias{objects.get}
\title{Retrieves objects or their associated metadata.}
\usage{
objects.get(bucket, object, projection = NULL)
}
\arguments{
\item{bucket}{Name of the bucket in which the object resid... |
library(MLmetrics)
library(StatMeasures)
library(dplyr)
library(tidyr)
library(corrgram)
library(MASS)
library(Hmisc)
library(ggplot2)
library(readxl)
library(glmnet)
trainRaw <- read.csv(file.choose(), header=TRUE, sep=",") #load the data into the HousingPrices dataframe
HousingPricesPrediction <- read.csv(file.choo... | /HousingPrices_MMA867.R | no_license | daniyalfarooqi/DF-MMA867-Repo | R | false | false | 10,007 | r |
library(MLmetrics)
library(StatMeasures)
library(dplyr)
library(tidyr)
library(corrgram)
library(MASS)
library(Hmisc)
library(ggplot2)
library(readxl)
library(glmnet)
trainRaw <- read.csv(file.choose(), header=TRUE, sep=",") #load the data into the HousingPrices dataframe
HousingPricesPrediction <- read.csv(file.choo... |
build.lm.model.inter <- lm(price ~ carat + color + clarity +
cut + channel + store + store:clarity,
data = train.tmsalary) | /build_lm_model_inter_script.R | no_license | DarrelDent/P412-Assignment-2 | R | false | false | 182 | r | build.lm.model.inter <- lm(price ~ carat + color + clarity +
cut + channel + store + store:clarity,
data = train.tmsalary) |
#' PaleyIPrimePower
#'
#' @param n integer
#' @return
#' Hadamard matrix
#' @export
#' @details
#' let q = n-1 , and q = 3 (mod 4), q is the prime power, then obtained the Hadamard
#' matrix of order q+1.if input satisfies these condition it retuns Hadamard Matrix; otherwise
#' returns NULL.
#'
#' @referen... | /R/PaleyIPrimePower.R | no_license | cran/HadamardR | R | false | false | 876 | r | #' PaleyIPrimePower
#'
#' @param n integer
#' @return
#' Hadamard matrix
#' @export
#' @details
#' let q = n-1 , and q = 3 (mod 4), q is the prime power, then obtained the Hadamard
#' matrix of order q+1.if input satisfies these condition it retuns Hadamard Matrix; otherwise
#' returns NULL.
#'
#' @referen... |
## install required packages and get the data
library(dplyr)
zipUrl <- "https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip"
zipFile <- "UCI HAR Dataset.zip"
if (!file.exists(zipFile)) {
download.file(zipUrl, zipFile, mode = "wb")
}
database <- "UCI HAR Dataset"
if (!file.... | /run_analysis.R | no_license | Abhishek500/Getting-and-Cleaning-Data-Course-Project | R | false | false | 2,846 | r | ## install required packages and get the data
library(dplyr)
zipUrl <- "https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip"
zipFile <- "UCI HAR Dataset.zip"
if (!file.exists(zipFile)) {
download.file(zipUrl, zipFile, mode = "wb")
}
database <- "UCI HAR Dataset"
if (!file.... |
some_vector <- c("a", "b", "c")
index <- 1
while (index <= length(some_vector)) {
cat("Element ", index, " contains ", some_vector[index], ".\n", sep = "")
index <- index + 1
}
| /src/while_loop.r | permissive | fvafrCU/programmieren_in_r | R | false | false | 185 | r | some_vector <- c("a", "b", "c")
index <- 1
while (index <= length(some_vector)) {
cat("Element ", index, " contains ", some_vector[index], ".\n", sep = "")
index <- index + 1
}
|
InitDataObjects("conc", "stat", FALSE)
mSet<-Read.TextData(mSet, "Replacing_with_your_file_path", "rowu", "disc");
mSet<-SanityCheckData(mSet)
mSet<-ReplaceMin(mSet);
mSet<-Normalization(mSet, "NULL", "LogNorm", "ParetoNorm", "1", ratio=FALSE, ratioNum=20)
mSet<-PlotNormSummary(mSet, "norm_0_", "png", 72, width=NA)
mSe... | /output/3Genotypes_sum_lipid_class_sPLSD_Loadings.R | no_license | rr-lab/Zea-Lip | R | false | false | 2,003 | r | InitDataObjects("conc", "stat", FALSE)
mSet<-Read.TextData(mSet, "Replacing_with_your_file_path", "rowu", "disc");
mSet<-SanityCheckData(mSet)
mSet<-ReplaceMin(mSet);
mSet<-Normalization(mSet, "NULL", "LogNorm", "ParetoNorm", "1", ratio=FALSE, ratioNum=20)
mSet<-PlotNormSummary(mSet, "norm_0_", "png", 72, width=NA)
mSe... |
install.packages("tidyverse")
install.packages("leaflet")
install.packages("data.table")
library("data.table")
library("ggplot2")
library("dplyr")
library("tidyr")
library("lubridate")
library("tibble")
library("leaflet")
library("scales")
crime_raw <- read.csv("RMS_Crime_Incidents.csv")
weather_raw <- read... | /DPDCrime/Crime_Data.R | no_license | Yellowmanic/DPDCRIME | R | false | false | 9,829 | r | install.packages("tidyverse")
install.packages("leaflet")
install.packages("data.table")
library("data.table")
library("ggplot2")
library("dplyr")
library("tidyr")
library("lubridate")
library("tibble")
library("leaflet")
library("scales")
crime_raw <- read.csv("RMS_Crime_Incidents.csv")
weather_raw <- read... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/read_LN.R
\docType{class}
\name{LNoutput-class}
\alias{LNoutput-class}
\title{make S4 object}
\description{
make S4 object
}
| /man/LNoutput-class.Rd | no_license | jtmancilla/LexisNexisTools | R | false | true | 203 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/read_LN.R
\docType{class}
\name{LNoutput-class}
\alias{LNoutput-class}
\title{make S4 object}
\description{
make S4 object
}
|
# packages
library(ggplot2)
# a few pretty plots
edulvl_ggpot <- ggplot(data = x, aes(edulvl, fill = 'indianred')) + geom_bar() + theme_minimal() +
labs(y = '# of people', x = 'Education level') +
scale_x_discrete(limits = 1:6, labels = c("no degree","GED/high school",
... | /ass1/ggplot.R | no_license | lafet1/microeconometrics | R | false | false | 2,138 | r | # packages
library(ggplot2)
# a few pretty plots
edulvl_ggpot <- ggplot(data = x, aes(edulvl, fill = 'indianred')) + geom_bar() + theme_minimal() +
labs(y = '# of people', x = 'Education level') +
scale_x_discrete(limits = 1:6, labels = c("no degree","GED/high school",
... |
#' Sort a BibEntry Object
#'
#' Sorts a \code{BibEntry} object by specified fields. The possible fields used for sorting and
#' the order they are used in correspond with the options avaiable in BibLaTeX.
#'
#' @param x an object of class BibEntry
#' @param decreasing logical; should the sort be increasing or decreasi... | /RefManageR/R/09sort.R | no_license | ingted/R-Examples | R | false | false | 6,011 | r | #' Sort a BibEntry Object
#'
#' Sorts a \code{BibEntry} object by specified fields. The possible fields used for sorting and
#' the order they are used in correspond with the options avaiable in BibLaTeX.
#'
#' @param x an object of class BibEntry
#' @param decreasing logical; should the sort be increasing or decreasi... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/break.R
\name{broken.default}
\alias{broken.default}
\title{Create the model agnostic broken object}
\usage{
\method{broken}{default}(model, new_observation, data, direction = "up", ...,
baseline = 0, predict.function = predict)
}
\argument... | /man/broken.default.Rd | no_license | shan-huang/breakDown | R | false | true | 1,709 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/break.R
\name{broken.default}
\alias{broken.default}
\title{Create the model agnostic broken object}
\usage{
\method{broken}{default}(model, new_observation, data, direction = "up", ...,
baseline = 0, predict.function = predict)
}
\argument... |
.RfigletEnv <- new.env()
.__Rfiglet_fonts <- c(
"3-d", "3x5", "4max", "5lineoblique", "acrobatic", "alligator2",
"alligator", "alphabet", "arrows", "avatar", "B1FF", "banner3-D",
"banner3", "banner4", "banner", "barbwire", "basic", "bell",
"bigchief", "bigfig", "big", "binary", "block", "bolger", "bright",
"... | /R/fonts.r | permissive | talgalili/Rfiglet | R | false | false | 1,800 | r | .RfigletEnv <- new.env()
.__Rfiglet_fonts <- c(
"3-d", "3x5", "4max", "5lineoblique", "acrobatic", "alligator2",
"alligator", "alphabet", "arrows", "avatar", "B1FF", "banner3-D",
"banner3", "banner4", "banner", "barbwire", "basic", "bell",
"bigchief", "bigfig", "big", "binary", "block", "bolger", "bright",
"... |
library(ggplot2)
library(lme4)
library(hydroGOF)
library(dplyr)
source("../results/helpers.R")
setwd("~/git/arabic_adjectives/experiments/2-order-preference-expanded/Submiterator-master")
num_round_dirs = 15
df1 = do.call(rbind, lapply(1:num_round_dirs, function(i) {
return (read.csv(paste(
'round', i, '/arabic... | /experiments/2-order-preference-expanded/results/analysis.R | no_license | gscontras/arabic_adjectives | R | false | false | 3,336 | r | library(ggplot2)
library(lme4)
library(hydroGOF)
library(dplyr)
source("../results/helpers.R")
setwd("~/git/arabic_adjectives/experiments/2-order-preference-expanded/Submiterator-master")
num_round_dirs = 15
df1 = do.call(rbind, lapply(1:num_round_dirs, function(i) {
return (read.csv(paste(
'round', i, '/arabic... |
context("RSEC")
test_that("`RSEC` works with matrix, ClusterExperiment, summarizedExperiment",{
##these examples don't do dendrogram/merge because all -1 after combineMany
##only tests clusterMany, combineMany parts.
##so can't do expect_silent, because returns NOTE about that issue.
expect_message(rsecOut1<-RSEC(... | /tests/testthat/test_RSEC.R | no_license | kevinbenac/clusterExperiment | R | false | false | 5,782 | r | context("RSEC")
test_that("`RSEC` works with matrix, ClusterExperiment, summarizedExperiment",{
##these examples don't do dendrogram/merge because all -1 after combineMany
##only tests clusterMany, combineMany parts.
##so can't do expect_silent, because returns NOTE about that issue.
expect_message(rsecOut1<-RSEC(... |
##################Answer
# A. Use R to create a scatter plot and add the regression line.
library(readxl)
# Import data from an Excel workbook
COMNODE <- read_excel("C:\\Users\\Zack\\Documents\\Spring 2021\\MATH 212\\Data Sets\\COMNODE3.xlsx", sheet=1)
# Open the book CD file and save as "xlsx" in your folder
# Vi... | /MATH 212/R Files/Chapter 3.3 Comm Node Student.R | no_license | zackroder/Spring-2021 | R | false | false | 801 | r | ##################Answer
# A. Use R to create a scatter plot and add the regression line.
library(readxl)
# Import data from an Excel workbook
COMNODE <- read_excel("C:\\Users\\Zack\\Documents\\Spring 2021\\MATH 212\\Data Sets\\COMNODE3.xlsx", sheet=1)
# Open the book CD file and save as "xlsx" in your folder
# Vi... |
# Artificial Neural Network
# Importing the dataset
dataset = read.csv('Churn_Modelling.csv')
dataset = dataset[4:14]
# Encoding the categorical variables as factors
dataset$Geography = as.numeric(factor(dataset$Geography,
levels = c('France', 'Spain', 'Germany'),
... | /Part 8 - Deep Learning/Section 39 - Artificial Neural Networks (ANN)/Artificial_Neural_Networks/ann.R | no_license | arnaldoljr/Curso-Machine-Learning | R | false | false | 1,719 | r | # Artificial Neural Network
# Importing the dataset
dataset = read.csv('Churn_Modelling.csv')
dataset = dataset[4:14]
# Encoding the categorical variables as factors
dataset$Geography = as.numeric(factor(dataset$Geography,
levels = c('France', 'Spain', 'Germany'),
... |
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