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 |
|---|---|---|---|---|---|---|---|---|---|
browseURL("https://drive.google.com/open?id=1t54qpJ1GmeY_NAoMAXqIYQ9xmjPxZr1u")
# Install and import essential packages -----------------------------------
# install.packages("tidyverse")
# library(tidyverse) will import ggplot2, dplyr, tidyr, readr, purrr, and tibble
# Need to library
# readxl for .xls and .xlsx ... | /0_install_pkgs.R | no_license | anhnguyendepocen/NCCU2018 | R | false | false | 1,581 | r | browseURL("https://drive.google.com/open?id=1t54qpJ1GmeY_NAoMAXqIYQ9xmjPxZr1u")
# Install and import essential packages -----------------------------------
# install.packages("tidyverse")
# library(tidyverse) will import ggplot2, dplyr, tidyr, readr, purrr, and tibble
# Need to library
# readxl for .xls and .xlsx ... |
# Este codigo foi criado para executar tanto no Azure, quanto no RStudio.
# Para executar no Azure, altere o valor da variavel Azure para TRUE. Se o valor for FALSE, o codigo sera executado no RStudio
# ***** Esta é a versão 2.0 deste script, atualizado em 23/05/2017 *****
# ***** Esse script pode ser executado nas ve... | /PrevendoDemandaBike/06-Feature Selection.R | no_license | LeoGitBR/RProjects | R | false | false | 1,992 | r | # Este codigo foi criado para executar tanto no Azure, quanto no RStudio.
# Para executar no Azure, altere o valor da variavel Azure para TRUE. Se o valor for FALSE, o codigo sera executado no RStudio
# ***** Esta é a versão 2.0 deste script, atualizado em 23/05/2017 *****
# ***** Esse script pode ser executado nas ve... |
#' summarySE
#'
#' summarySE provides summaries (mean, sd, ci, se, N) for a variable/variables either overall or stratified by one or more grouping variables. This is an extension of the summarySE function provided by Winston Chang in the Cookbook for R. This extension allows for getting summaries across multple outcom... | /R/summarySE.R | no_license | TaylorAndrew/atPrepAnalyze | R | false | false | 3,556 | r | #' summarySE
#'
#' summarySE provides summaries (mean, sd, ci, se, N) for a variable/variables either overall or stratified by one or more grouping variables. This is an extension of the summarySE function provided by Winston Chang in the Cookbook for R. This extension allows for getting summaries across multple outcom... |
\name{slMatrix}
\alias{slMatrix}
\title{ Function to create objects from class slMatrix }
\description{
Provides a flexible way to create objects from class
\code{slMatrix}. The entries may be specified in several ways.
}
\usage{
slMatrix(init = NA, period, maxlag, seasonnames = seq(length = period),
lagna... | /man/slMatrix.Rd | no_license | GeoBosh/lagged | R | false | false | 2,546 | rd | \name{slMatrix}
\alias{slMatrix}
\title{ Function to create objects from class slMatrix }
\description{
Provides a flexible way to create objects from class
\code{slMatrix}. The entries may be specified in several ways.
}
\usage{
slMatrix(init = NA, period, maxlag, seasonnames = seq(length = period),
lagna... |
#sample augmentation with censoring cases
#rationale: the all-death registry data is missing recent patients who are still surviving
#simulation parameter table is built based on national statistics on k-year survival rates:
# 1-3 year: 50%
# 3-5 year: 30%
# 5-10 year: 20%
# install.packages("tidyverse")
# instal... | /simulate_survival.R | no_license | sxinger/Simulations | R | false | false | 2,121 | r | #sample augmentation with censoring cases
#rationale: the all-death registry data is missing recent patients who are still surviving
#simulation parameter table is built based on national statistics on k-year survival rates:
# 1-3 year: 50%
# 3-5 year: 30%
# 5-10 year: 20%
# install.packages("tidyverse")
# instal... |
testlist <- list(doy = -1.72131968218895e+83, latitude = 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), temp = c(8.5728629954997e-312, 1.56898424065867e+82, 8.96970809549085e-158, 2.3834705896422e+195, 2.79620616433656e-119, -6.80033518839696e+41, 2.68... | /meteor/inst/testfiles/ET0_ThornthwaiteWilmott/AFL_ET0_ThornthwaiteWilmott/ET0_ThornthwaiteWilmott_valgrind_files/1615827825-test.R | no_license | akhikolla/updatedatatype-list3 | R | false | false | 733 | r | testlist <- list(doy = -1.72131968218895e+83, latitude = 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), temp = c(8.5728629954997e-312, 1.56898424065867e+82, 8.96970809549085e-158, 2.3834705896422e+195, 2.79620616433656e-119, -6.80033518839696e+41, 2.68... |
\name{RADami-package}
\alias{RADami-package}
\alias{RADami}
\docType{package}
\title{R Package for Phylogenetic Analysis of RADseq Data}
\description{This package implements import, export, manipulation, visualization, and downstream
(post-clustering) analysis of RADseq data, integrating with the py... | /man/RADami-package.Rd | no_license | KlausVigo/RADami | R | false | false | 1,266 | rd | \name{RADami-package}
\alias{RADami-package}
\alias{RADami}
\docType{package}
\title{R Package for Phylogenetic Analysis of RADseq Data}
\description{This package implements import, export, manipulation, visualization, and downstream
(post-clustering) analysis of RADseq data, integrating with the py... |
# This file is generated by make.paws. Please do not edit here.
#' @importFrom paws.common new_handlers new_service set_config
NULL
#' AWS Ground Station
#'
#' @description
#' Welcome to the AWS Ground Station API Reference. AWS Ground Station is a
#' fully managed service that enables you to control satellite
#' comm... | /paws/R/groundstation_service.R | permissive | ryanb8/paws | R | false | false | 4,752 | r | # This file is generated by make.paws. Please do not edit here.
#' @importFrom paws.common new_handlers new_service set_config
NULL
#' AWS Ground Station
#'
#' @description
#' Welcome to the AWS Ground Station API Reference. AWS Ground Station is a
#' fully managed service that enables you to control satellite
#' comm... |
library(RSQLite)
library(caret)
library(caretEnsemble)
library(ggplot2)
library(pROC)
library(randomForest)
library(C50)
library(nnet)
library(gbm)
library(Boruta)
library(dplyr) # by rinda
fb.db <- "~/Documents/kaggle/facebook_IV_Human_or_Robot/fb.db"
ffile <- "~/Documents/kaggle/facebook_IV_Human_or_Robot/extracted... | /init.R | no_license | rindajones/kaggleFR4 | R | false | false | 334 | r | library(RSQLite)
library(caret)
library(caretEnsemble)
library(ggplot2)
library(pROC)
library(randomForest)
library(C50)
library(nnet)
library(gbm)
library(Boruta)
library(dplyr) # by rinda
fb.db <- "~/Documents/kaggle/facebook_IV_Human_or_Robot/fb.db"
ffile <- "~/Documents/kaggle/facebook_IV_Human_or_Robot/extracted... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/stationary_ploidevol.R
\name{stationary_ploidevol}
\alias{stationary_ploidevol}
\title{Calculates stationary distribution for root under Ploidevol model}
\usage{
stationary_ploidevol(log.parameters)
}
\arguments{
\item{log.parameters}{a vecto... | /man/stationary_ploidevol.Rd | no_license | roszenil/chromploid | R | false | true | 695 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/stationary_ploidevol.R
\name{stationary_ploidevol}
\alias{stationary_ploidevol}
\title{Calculates stationary distribution for root under Ploidevol model}
\usage{
stationary_ploidevol(log.parameters)
}
\arguments{
\item{log.parameters}{a vecto... |
library(ggplot2)
library(stringr)
library(scales)
library(gridExtra)
library(lubridate)
library(caret)
library(caTools)
library(e1071)
library(party)
dataset <- read.csv("E:/R Workspace/Data Mining Project/No-show-Issue-Comma-300k.csv", stringsAsFactors = TRUE, header = TRUE, na.strings = c... | /Project.R | no_license | ZubairHussain/Appointment-No-Show- | R | false | false | 4,057 | r | library(ggplot2)
library(stringr)
library(scales)
library(gridExtra)
library(lubridate)
library(caret)
library(caTools)
library(e1071)
library(party)
dataset <- read.csv("E:/R Workspace/Data Mining Project/No-show-Issue-Comma-300k.csv", stringsAsFactors = TRUE, header = TRUE, na.strings = c... |
sgRSEA <-
function(dat, multiplier=50, r.seed=NULL){
v1 =as.character(dat[,1])
v2 = as.character(dat[,2])
v3 = as.numeric(dat[,3])
v4 = as.numeric(dat[,4])
cname=colnames(dat)
dat = data.frame( v1,v2,v3, v4 )
colnames(dat)=cname
if (anyNA(dat)) stop("There is NA in dat.")
if (min(da... | /sgRSEA/R/sgRSEA.R | no_license | ingted/R-Examples | R | false | false | 2,262 | r | sgRSEA <-
function(dat, multiplier=50, r.seed=NULL){
v1 =as.character(dat[,1])
v2 = as.character(dat[,2])
v3 = as.numeric(dat[,3])
v4 = as.numeric(dat[,4])
cname=colnames(dat)
dat = data.frame( v1,v2,v3, v4 )
colnames(dat)=cname
if (anyNA(dat)) stop("There is NA in dat.")
if (min(da... |
library(measures)
### Name: TNR
### Title: True negative rate
### Aliases: TNR
### ** Examples
n = 20
set.seed(125)
truth = as.factor(sample(c(1,0), n, replace = TRUE))
probabilities = runif(n)
response = as.factor(as.numeric(probabilities > 0.5))
negative = 0
TNR(truth, response, negative)
| /data/genthat_extracted_code/measures/examples/TNR.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 299 | r | library(measures)
### Name: TNR
### Title: True negative rate
### Aliases: TNR
### ** Examples
n = 20
set.seed(125)
truth = as.factor(sample(c(1,0), n, replace = TRUE))
probabilities = runif(n)
response = as.factor(as.numeric(probabilities > 0.5))
negative = 0
TNR(truth, response, negative)
|
rm(list=ls()); gc()
library(data.table)
library(lubridate)
tr <- fread("../input/train.csv")
#Select Train Sizes
#set.seed(777)
#tr <- tr[sample(.N, 50e6), ]
#test dataset change
te <- fread("../input/test.csv")
# te <- fread("../input/test_supplement.csv")
tr <- setorder(tr, click_time, is_attributed)
tr <- tr[, -"at... | /AdT/Code/Fail/todo.R | permissive | LegenDad/KaggleUXLog | R | false | false | 9,703 | r | rm(list=ls()); gc()
library(data.table)
library(lubridate)
tr <- fread("../input/train.csv")
#Select Train Sizes
#set.seed(777)
#tr <- tr[sample(.N, 50e6), ]
#test dataset change
te <- fread("../input/test.csv")
# te <- fread("../input/test_supplement.csv")
tr <- setorder(tr, click_time, is_attributed)
tr <- tr[, -"at... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/calculate_vp.R
\name{calculate_vp}
\alias{calculate_vp}
\title{Calculate a vertical profile (\code{vp}) from a polar volume (\code{pvol})}
\usage{
calculate_vp(file, vpfile = "", pvolfile_out = "", autoconf = FALSE,
verbose = FALSE, mount =... | /man/calculate_vp.Rd | permissive | bart1/bioRad | R | false | true | 8,372 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/calculate_vp.R
\name{calculate_vp}
\alias{calculate_vp}
\title{Calculate a vertical profile (\code{vp}) from a polar volume (\code{pvol})}
\usage{
calculate_vp(file, vpfile = "", pvolfile_out = "", autoconf = FALSE,
verbose = FALSE, mount =... |
library(googlesheets)
library(tidyverse)
library(stringr)
results <- gs_title("R ladies remote") %>% gs_read
table(results$Country)
results = results %>% mutate(country = case_when((tolower(Country) %in% c('us','usa','u.s.a.','south bend'))|grepl('united states',tolower(Country))|(Country=='Georgia'&City=='Atlanta... | /surveyresults.R | no_license | rladies/rladies_remote | R | false | false | 2,659 | r | library(googlesheets)
library(tidyverse)
library(stringr)
results <- gs_title("R ladies remote") %>% gs_read
table(results$Country)
results = results %>% mutate(country = case_when((tolower(Country) %in% c('us','usa','u.s.a.','south bend'))|grepl('united states',tolower(Country))|(Country=='Georgia'&City=='Atlanta... |
library(ggplot2)
# Datasets
data(movies)
data(EuStockMarkets)
# Cleanup the movie dataset
# Filter out rows with 0, negative or no budget information and remove
idx <- which(movies$budget <=0 | is.na(movies$budget))
movies <- movies[-idx,]
# Data
genre <- rep(NA, nrow(movies))
count <- rowSums(movies[, 18:24])
gen... | /homework1/code.R | no_license | manoj-v/msan622 | R | false | false | 4,425 | r | library(ggplot2)
# Datasets
data(movies)
data(EuStockMarkets)
# Cleanup the movie dataset
# Filter out rows with 0, negative or no budget information and remove
idx <- which(movies$budget <=0 | is.na(movies$budget))
movies <- movies[-idx,]
# Data
genre <- rep(NA, nrow(movies))
count <- rowSums(movies[, 18:24])
gen... |
% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/pca2d.R, R/pca3d-package.R, R/pca3d.R
\name{pca2d}
\alias{pca2d}
\alias{pca3d}
\alias{pca3d-package}
\title{Show a three- or two-dimensional plot of a prcomp object}
\usage{
pca2d(pca, components = 1:2, col = NULL, title = NULL, new =... | /man/pca3d-package.Rd | no_license | thomas-omahoney/pca3d | R | false | false | 7,616 | rd | % Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/pca2d.R, R/pca3d-package.R, R/pca3d.R
\name{pca2d}
\alias{pca2d}
\alias{pca3d}
\alias{pca3d-package}
\title{Show a three- or two-dimensional plot of a prcomp object}
\usage{
pca2d(pca, components = 1:2, col = NULL, title = NULL, new =... |
BITRATE = 8000 # per second
BUFFER = 1/12 # seconds
options(digits.secs = 9)
#' @export
loop <- function(next.sample, prev.time = NULL) {
if (is.null(prev.time))
next.time <- Sys.time()
else
next.time <- prev.time + length(next.sample) / BITRATE
if (next.time - (BITRATE * BUFFER) < Sys.time()) {
cat... | /loop.r | no_license | tlevine/mdoow | R | false | false | 401 | r | BITRATE = 8000 # per second
BUFFER = 1/12 # seconds
options(digits.secs = 9)
#' @export
loop <- function(next.sample, prev.time = NULL) {
if (is.null(prev.time))
next.time <- Sys.time()
else
next.time <- prev.time + length(next.sample) / BITRATE
if (next.time - (BITRATE * BUFFER) < Sys.time()) {
cat... |
\name{is.chordal}
\alias{peo}
\alias{is.chordal}
\alias{is.cycle}
\alias{is.complete}
\alias{simplicial.vertex}
\title{
Tests for certain types of graphs.
}
\description{
Tests that a graph is chordal or complete.
}
\usage{
is.chordal(g)
peo(g)
simplicial.vertex(g,n)
is.complete(g)
is.cycle(g)
}
\arguments{
\item{g}{... | /man/is.chordal.Rd | no_license | cran/mfr | R | false | false | 1,322 | rd | \name{is.chordal}
\alias{peo}
\alias{is.chordal}
\alias{is.cycle}
\alias{is.complete}
\alias{simplicial.vertex}
\title{
Tests for certain types of graphs.
}
\description{
Tests that a graph is chordal or complete.
}
\usage{
is.chordal(g)
peo(g)
simplicial.vertex(g,n)
is.complete(g)
is.cycle(g)
}
\arguments{
\item{g}{... |
/02-Segundo Semestre - Estadística Multivariada/Proyecto/Codigos/Analisis salarial/Inciso b/Parte 2/Clasificador Salarios Campo SS.R | no_license | nicoletron770/Maestria-Computo-Estadistico | R | false | false | 18,415 | r | ||
# Analysis of DNA composition for a subset of genes or genomes
# Report the nucleotide fraction, GC content and asymmetries
#
# Aleix Lafita - October 2019
suppressPackageStartupMessages(library(dplyr))
suppressPackageStartupMessages(library(seqinr))
suppressPackageStartupMessages(library(argparse))
suppressPackageSt... | /composition_dna.R | permissive | bateman-research/sequence-bias | R | false | false | 9,696 | r | # Analysis of DNA composition for a subset of genes or genomes
# Report the nucleotide fraction, GC content and asymmetries
#
# Aleix Lafita - October 2019
suppressPackageStartupMessages(library(dplyr))
suppressPackageStartupMessages(library(seqinr))
suppressPackageStartupMessages(library(argparse))
suppressPackageSt... |
testlist <- list(Beta = 0, CVLinf = 86341236051411296, FM = 1.53632495265886e-311, L50 = 0, L95 = 0, LenBins = c(2.0975686864138e+162, -2.68131210337361e-144, -1.11215735981244e+199, -4.48649879577108e+143, 1.6611802228813e+218, 900371.947279558, 1.07063092954708e+238, 2.88003257377011e-142, 1.29554... | /DLMtool/inst/testfiles/LBSPRgen/AFL_LBSPRgen/LBSPRgen_valgrind_files/1615837649-test.R | no_license | akhikolla/updatedatatype-list2 | R | false | false | 2,048 | r | testlist <- list(Beta = 0, CVLinf = 86341236051411296, FM = 1.53632495265886e-311, L50 = 0, L95 = 0, LenBins = c(2.0975686864138e+162, -2.68131210337361e-144, -1.11215735981244e+199, -4.48649879577108e+143, 1.6611802228813e+218, 900371.947279558, 1.07063092954708e+238, 2.88003257377011e-142, 1.29554... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/out.R
\name{drop_incomplete_segments}
\alias{drop_incomplete_segments}
\title{Drop segments with NAs from the eeg_lst}
\usage{
drop_incomplete_segments(x)
}
\arguments{
\item{x}{eeg_lst}
}
\value{
An eeg_lst object
}
\description{
Drop segmen... | /man/drop_incomplete_segments.Rd | permissive | bnicenboim/eeguana | R | false | true | 518 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/out.R
\name{drop_incomplete_segments}
\alias{drop_incomplete_segments}
\title{Drop segments with NAs from the eeg_lst}
\usage{
drop_incomplete_segments(x)
}
\arguments{
\item{x}{eeg_lst}
}
\value{
An eeg_lst object
}
\description{
Drop segmen... |
\name{rfamFamilySummary}
\alias{rfamFamilySummary}
\title{Get a summary describing an Rfam family
}
\description{
Gets a summary describing an Rfam family. The summary includes information
regarding the number of sequences and species contained in the family, a brief
description about the function of the family and the... | /man/rfamFamilySummary.Rd | no_license | Rafael-Ayala/rfaRm | R | false | false | 2,345 | rd | \name{rfamFamilySummary}
\alias{rfamFamilySummary}
\title{Get a summary describing an Rfam family
}
\description{
Gets a summary describing an Rfam family. The summary includes information
regarding the number of sequences and species contained in the family, a brief
description about the function of the family and the... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/predict.BchronologyRun.R
\name{predict.BchronologyRun}
\alias{predict.BchronologyRun}
\title{Predict ages of other positions for a BchronologyRun object}
\usage{
\method{predict}{BchronologyRun}(
object,
newPositions,
newPositionThickne... | /man/predict.BchronologyRun.Rd | no_license | cran/Bchron | R | false | true | 1,446 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/predict.BchronologyRun.R
\name{predict.BchronologyRun}
\alias{predict.BchronologyRun}
\title{Predict ages of other positions for a BchronologyRun object}
\usage{
\method{predict}{BchronologyRun}(
object,
newPositions,
newPositionThickne... |
# QMEC 2020 HW2
#Haley Carter
# Save your homework as an R script file named HW2_Smith.R in your dropbox
# folder (if your surname is not Smith, then replace Smith with your surname).
# Note: Your entire assignment should run as a script without errors.
# The following line will enable R to read a dataset of 25 Cakil... | /HW2_Carter.R | no_license | hscarter/QMECgitrepo | R | false | false | 6,467 | r | # QMEC 2020 HW2
#Haley Carter
# Save your homework as an R script file named HW2_Smith.R in your dropbox
# folder (if your surname is not Smith, then replace Smith with your surname).
# Note: Your entire assignment should run as a script without errors.
# The following line will enable R to read a dataset of 25 Cakil... |
require(BayesTree)
setwd("~/Documents/Research/Genomics")
setwd("~/Research_Genomics/bart_gene/Code_Objects")
source("bart_fns.R")
source("bart_fns2.R")
##Set-up
set.seed(20)
##TF settings
tf.size1=c(10,15,20,25)
tf.size2=c(10,20,30,40) ##script is set to work with this right now
##Observation settings
n50=50
n100=... | /Code_Objects/simult.R | no_license | jbleich89/bart_gene | R | false | false | 2,930 | r | require(BayesTree)
setwd("~/Documents/Research/Genomics")
setwd("~/Research_Genomics/bart_gene/Code_Objects")
source("bart_fns.R")
source("bart_fns2.R")
##Set-up
set.seed(20)
##TF settings
tf.size1=c(10,15,20,25)
tf.size2=c(10,20,30,40) ##script is set to work with this right now
##Observation settings
n50=50
n100=... |
fluidPage(#theme=shinytheme("united"),
headerPanel(
HTML('Distribuciones de variables aleatorias (test para UAA)
<a href="http://snap.uaf.edu" target="_blank"><img align="right" alt="SNAP Logo" src="./img/SNAP_acronym_100px.png" /></a>'
), "Distributions of Random Variables"
),
fluidRow(
co... | /Sofi/inst/Estadist/Estas/General/IU_Distribuciones_Var_Aleat.R | no_license | ingted/R-Examples | R | false | false | 1,393 | r | fluidPage(#theme=shinytheme("united"),
headerPanel(
HTML('Distribuciones de variables aleatorias (test para UAA)
<a href="http://snap.uaf.edu" target="_blank"><img align="right" alt="SNAP Logo" src="./img/SNAP_acronym_100px.png" /></a>'
), "Distributions of Random Variables"
),
fluidRow(
co... |
##############################
#R script to generate a modelbuilder model object with code.
#This file was generated on 2023-05-08 15:16:21.930296
##############################
mbmodel = list() #create empty list
#Model meta-information
mbmodel$title = 'Complex ID Control Scenarios'
mbmodel$descr... | /auxiliary/modelfiles/other/Complex_ID_Control_Scenarios_file.R | no_license | ahgroup/modelbuilder | R | false | false | 6,366 | r | ##############################
#R script to generate a modelbuilder model object with code.
#This file was generated on 2023-05-08 15:16:21.930296
##############################
mbmodel = list() #create empty list
#Model meta-information
mbmodel$title = 'Complex ID Control Scenarios'
mbmodel$descr... |
context("test-check_augment_newdata_precedence")
library(tibble)
augment_always_data <- function(model, data = NULL, newdata = NULL) {
as_tibble(data)
}
augment_correct <- function(model, data = NULL, newdata = NULL) {
ret <- if (!is.null(newdata)) newdata else data
as_tibble(ret)
}
test_that("strict = TRUE",... | /tests/testthat/test-check_augment_newdata_precedence.R | permissive | alexpghayes/modeltests | R | false | false | 652 | r | context("test-check_augment_newdata_precedence")
library(tibble)
augment_always_data <- function(model, data = NULL, newdata = NULL) {
as_tibble(data)
}
augment_correct <- function(model, data = NULL, newdata = NULL) {
ret <- if (!is.null(newdata)) newdata else data
as_tibble(ret)
}
test_that("strict = TRUE",... |
#Plot4
#get data
#get data
powerConsumptionData <- read.table("household_power_consumption.txt", header=TRUE, sep=";",dec=".",na.strings = "?")
#combine date and time column
powerConsumptionData$DateTime <- paste(powerConsumptionData$Date, powerConsumptionData$Time,sep=" ")
#convert date column to type date
powerCons... | /Plot4.R | no_license | szumkhawala/ExData_Plotting1 | R | false | false | 1,927 | r | #Plot4
#get data
#get data
powerConsumptionData <- read.table("household_power_consumption.txt", header=TRUE, sep=";",dec=".",na.strings = "?")
#combine date and time column
powerConsumptionData$DateTime <- paste(powerConsumptionData$Date, powerConsumptionData$Time,sep=" ")
#convert date column to type date
powerCons... |
#set and get working directory
setwd("/Users/madelondenboeft/Desktop")
#create plot4
fulldataset <- read.csv("household_power_consumption.txt", header=T, sep=';', na.strings="?",
nrows=2075259, check.names=F, stringsAsFactors=F, comment.char="", quote='\"')
data_needed <- subset(fulldataset, ... | /plot4.R | no_license | mdenboeft/ExData_Plotting1 | R | false | false | 1,290 | r |
#set and get working directory
setwd("/Users/madelondenboeft/Desktop")
#create plot4
fulldataset <- read.csv("household_power_consumption.txt", header=T, sep=';', na.strings="?",
nrows=2075259, check.names=F, stringsAsFactors=F, comment.char="", quote='\"')
data_needed <- subset(fulldataset, ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/print_methods.R
\name{print.psychmeta.ad_int}
\alias{print.psychmeta.ad_int}
\title{print method for interactive artifact distributions}
\usage{
\method{print}{psychmeta.ad_int}(x, ..., digits = 3)
}
\arguments{
\item{x}{Object to be printed.... | /man/print.psychmeta.ad_int.Rd | no_license | EnterStudios/psychmeta | R | false | true | 609 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/print_methods.R
\name{print.psychmeta.ad_int}
\alias{print.psychmeta.ad_int}
\title{print method for interactive artifact distributions}
\usage{
\method{print}{psychmeta.ad_int}(x, ..., digits = 3)
}
\arguments{
\item{x}{Object to be printed.... |
rm(list = ls())
tribedf <- read_rds("01_data/cache/tribe_county_shapefiles.rds")
tribecounties <- tribedf %>%
dplyr::select(GEOID) %>%
unique()
empty <- tribecounties %>%
mutate(area = as.numeric(st_area(geometry))) %>%
st_set_geometry(NULL) %>%
filter(area == 0)
tribeuse <- tribecounties %>%
filte... | /02_build/04_combine_county.R | no_license | galsk223/tribalclimate | R | false | false | 3,876 | r |
rm(list = ls())
tribedf <- read_rds("01_data/cache/tribe_county_shapefiles.rds")
tribecounties <- tribedf %>%
dplyr::select(GEOID) %>%
unique()
empty <- tribecounties %>%
mutate(area = as.numeric(st_area(geometry))) %>%
st_set_geometry(NULL) %>%
filter(area == 0)
tribeuse <- tribecounties %>%
filte... |
se <- function(actual, predicted){
#min_length = min(length(actual), length(predicted))
#return((actual[1:min_length] - predicted[1:min_length]) ^ 2)
return((actual - predicted) ^ 2)
}
mse <- function(actual, predicted){
return(mean(x = se(actual, predicted), na.rm = TRUE))
}
rmse <- function(actual, predict... | /R/rmse_new.R | no_license | wimmyteam/conisi | R | false | false | 10,220 | r |
se <- function(actual, predicted){
#min_length = min(length(actual), length(predicted))
#return((actual[1:min_length] - predicted[1:min_length]) ^ 2)
return((actual - predicted) ^ 2)
}
mse <- function(actual, predicted){
return(mean(x = se(actual, predicted), na.rm = TRUE))
}
rmse <- function(actual, predict... |
% Generated by roxygen2 (4.0.1): do not edit by hand
\name{MartinRatio}
\alias{MartinRatio}
\title{Martin ratio of the return distribution}
\usage{
MartinRatio(R, Rf = 0, ...)
}
\arguments{
\item{R}{an xts, vector, matrix, data frame, timeSeries or zoo object of
asset returns}
\item{Rf}{risk free rate, in s... | /man/MartinRatio.Rd | no_license | ecjbosu/PerformanceAnalytics | R | false | false | 1,307 | rd | % Generated by roxygen2 (4.0.1): do not edit by hand
\name{MartinRatio}
\alias{MartinRatio}
\title{Martin ratio of the return distribution}
\usage{
MartinRatio(R, Rf = 0, ...)
}
\arguments{
\item{R}{an xts, vector, matrix, data frame, timeSeries or zoo object of
asset returns}
\item{Rf}{risk free rate, in s... |
"plotAutoC" <-
function(node, plot = TRUE, colour = c("red", "blue", "green", "yellow", "black"),
lwd = 5, main = NULL, ...)
# Plot auto correlation function for single component of OpenBUGS name
{
sM <- samplesMonitors(node)
if(length(sM) > 1 || sM != node)
stop("node must be a scalar var... | /R/plot.autoC.R | no_license | cran/BRugs | R | false | false | 840 | r | "plotAutoC" <-
function(node, plot = TRUE, colour = c("red", "blue", "green", "yellow", "black"),
lwd = 5, main = NULL, ...)
# Plot auto correlation function for single component of OpenBUGS name
{
sM <- samplesMonitors(node)
if(length(sM) > 1 || sM != node)
stop("node must be a scalar var... |
input = readLines("Day2/Input2_1.txt")
input_by_row = strsplit(input, "\t")
###################### PART 1 ######################
sum(sapply(input_by_row, function(x) {
max(as.numeric(x)) - min(as.numeric(x))
}))
###################### PART 2 ######################
sum(sapply(input_by_row, function(x) {
tmp = expa... | /Day2/Day2.R | no_license | RossiLorenzo/advent_code_2017 | R | false | false | 444 | r | input = readLines("Day2/Input2_1.txt")
input_by_row = strsplit(input, "\t")
###################### PART 1 ######################
sum(sapply(input_by_row, function(x) {
max(as.numeric(x)) - min(as.numeric(x))
}))
###################### PART 2 ######################
sum(sapply(input_by_row, function(x) {
tmp = expa... |
#-------------------------------------------------------------------------
#LAB 2
#1.1 Conditional statements
#1.1.1 sheldon_game(player1, player2)
#-------------------------------------------------------------------------
name <-"Farhana Chowdhury Tondra"
liuid <- "farch587"
#------------------code starts from her... | /RCourseLab2/R/sheldon_game.R | no_license | tondralok/RCourseLab2 | R | false | false | 833 | r | #-------------------------------------------------------------------------
#LAB 2
#1.1 Conditional statements
#1.1.1 sheldon_game(player1, player2)
#-------------------------------------------------------------------------
name <-"Farhana Chowdhury Tondra"
liuid <- "farch587"
#------------------code starts from her... |
#' Read Images into a Matrix
#'
#' Read images into rows of a matrix, given a mask - much faster for large
#' datasets as it is based on C++ implementations.
#'
#'
#' @param imageList A character vector containing a list of image files to
#' read, in order.
#' @param mask An \code{antsImage} containing a binary mask, v... | /R/imagesToMatrix.R | no_license | bkandel/ANTsRCheck | R | false | false | 1,391 | r | #' Read Images into a Matrix
#'
#' Read images into rows of a matrix, given a mask - much faster for large
#' datasets as it is based on C++ implementations.
#'
#'
#' @param imageList A character vector containing a list of image files to
#' read, in order.
#' @param mask An \code{antsImage} containing a binary mask, v... |
#' Get Spotify audio analysis tidily
#'
#' Fetches the Spotify audio analysis for a track using list columns rather than
#' lists of lists.
#'
#' See the
#' \href{https://developer.spotify.com/documentation/web-api/reference/tracks/get-audio-analysis/}{Spotify
#' developer documentation} for details about the informati... | /R/audio_analysis.R | no_license | jaburgoyne/compmus | R | false | false | 2,777 | r | #' Get Spotify audio analysis tidily
#'
#' Fetches the Spotify audio analysis for a track using list columns rather than
#' lists of lists.
#'
#' See the
#' \href{https://developer.spotify.com/documentation/web-api/reference/tracks/get-audio-analysis/}{Spotify
#' developer documentation} for details about the informati... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data_sales.R
\docType{data}
\name{sales}
\alias{sales}
\title{Cross section sales analysis per individual}
\format{a \code{data frame} with 20000 rows and 17 variables}
\usage{
data(sales)
}
\description{
A dataset contain various sales metri... | /man/sales.Rd | permissive | HanjoStudy/quotidieR | R | false | true | 374 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data_sales.R
\docType{data}
\name{sales}
\alias{sales}
\title{Cross section sales analysis per individual}
\format{a \code{data frame} with 20000 rows and 17 variables}
\usage{
data(sales)
}
\description{
A dataset contain various sales metri... |
#' Create an appDir for shiny::runApp and rsconnect::deployApp
#'
#' Create a directory in tempdir() where the folder containing ui.r, server.r
#' etc. from an installed package is copied and the data is saved.
#' This directory, with its content, will be deployd to or ran by shiny.
#'
#' @param app_data The data to be... | /R/create_appdir.r | permissive | SKDE-Felles/SKDEr | R | false | false | 1,796 | r | #' Create an appDir for shiny::runApp and rsconnect::deployApp
#'
#' Create a directory in tempdir() where the folder containing ui.r, server.r
#' etc. from an installed package is copied and the data is saved.
#' This directory, with its content, will be deployd to or ran by shiny.
#'
#' @param app_data The data to be... |
# This script contains the R code for GWA plots used in the manuscript:
#
# Authors: Aguillon SM, Walsh J, Lovette IJ
# Year: 2021
# Title: Extensive hybridization reveals multiple coloration genes
# underlying a complex plumage phenotype
# Journal Info: Proceedings of the Royal Society B, 288, 20201805
# DOI: 1... | /Rcode/GWA-plots.R | no_license | stepfanie-aguillon/flicker-WGS-ProcB2021 | R | false | false | 3,271 | r | # This script contains the R code for GWA plots used in the manuscript:
#
# Authors: Aguillon SM, Walsh J, Lovette IJ
# Year: 2021
# Title: Extensive hybridization reveals multiple coloration genes
# underlying a complex plumage phenotype
# Journal Info: Proceedings of the Royal Society B, 288, 20201805
# DOI: 1... |
library(maps)
library(mapdata)
library(maptools)
library(spatstat)
library(spatstat.utils)
library(rgeos)
library(sp)
library(leaflet)
# Load data
df <- read.csv("MetroBarcelona.csv")
mapAreas <- c("Spain")
counties <- map("worldHires",
"Spain",
exact = TRUE,
... | /VoronoiMetroBarcelona.R | no_license | hectorgm/VoronoiMetroBarcelona | R | false | false | 5,411 | r | library(maps)
library(mapdata)
library(maptools)
library(spatstat)
library(spatstat.utils)
library(rgeos)
library(sp)
library(leaflet)
# Load data
df <- read.csv("MetroBarcelona.csv")
mapAreas <- c("Spain")
counties <- map("worldHires",
"Spain",
exact = TRUE,
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/rf_forecast.R
\name{rf_forecast}
\alias{rf_forecast}
\title{function to calculate point forecast, 95\% confidence intervals, forecast-accuracy for new series}
\usage{
rf_forecast(predictions, tslist, database, function_name, h, accuracy,
ho... | /man/rf_forecast.Rd | no_license | martins0n/seer | R | false | true | 1,327 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/rf_forecast.R
\name{rf_forecast}
\alias{rf_forecast}
\title{function to calculate point forecast, 95\% confidence intervals, forecast-accuracy for new series}
\usage{
rf_forecast(predictions, tslist, database, function_name, h, accuracy,
ho... |
library(pecanapi)
import::from(magrittr, "%>%")
source(file.path("analysis", "scratch", "helpers.R"))
## model_id <- 99000000006 # ED develop
model_id <- 99000000001 # ED develop
site_id <- 1000000033 # UMBS disturbance
machine_id <- 99000000001
## DBI::dbSendStateme... | /analysis/scratch/test_ed_cases.R | permissive | ashiklom/fortebaseline | R | false | false | 4,209 | r | library(pecanapi)
import::from(magrittr, "%>%")
source(file.path("analysis", "scratch", "helpers.R"))
## model_id <- 99000000006 # ED develop
model_id <- 99000000001 # ED develop
site_id <- 1000000033 # UMBS disturbance
machine_id <- 99000000001
## DBI::dbSendStateme... |
# load packages####
library(tableone)
library(caret)
library(reshape2)
library(tidyr)
library(dplyr)
library(binom)
library(survival)
library(gridExtra)
library(grid)
library(survMisc)
library(scales)
library(ggplot2)
library(tidyr)
library(metafor)
library(xlsx)
library(xlsxjars)
library(rJava)
library(readxl)
librar... | /part11_plot_burden_age_std.R | no_license | xjong/HAP | R | false | false | 2,456 | r |
# load packages####
library(tableone)
library(caret)
library(reshape2)
library(tidyr)
library(dplyr)
library(binom)
library(survival)
library(gridExtra)
library(grid)
library(survMisc)
library(scales)
library(ggplot2)
library(tidyr)
library(metafor)
library(xlsx)
library(xlsxjars)
library(rJava)
library(readxl)
librar... |
\name{NEWS}
\title{ChemmineR News}
\section{CHANGES IN VERSION 2.14.0}{
\subsection{NEW FEATURES}{
\itemize{
\item Integration of OpenBabel functionalities via new ChemmineOB add-on package
\item Improved SMILES support via new SMIset object class and SMILES import/export functions
\item Many oth... | /inst/NEWS.Rd | no_license | huaner123/ChemmineR | R | false | false | 1,209 | rd | \name{NEWS}
\title{ChemmineR News}
\section{CHANGES IN VERSION 2.14.0}{
\subsection{NEW FEATURES}{
\itemize{
\item Integration of OpenBabel functionalities via new ChemmineOB add-on package
\item Improved SMILES support via new SMIset object class and SMILES import/export functions
\item Many oth... |
library(ggplot2)
library(ggthemes)
df <-mpg
#pl <- ggplot(df,aes(x=hwy))
#pl2 <- pl + geom_histogram(bins=20, fill='red', alpha=0.5)
#print(pl2)
#pl <- ggplot(df,aes(x=manufacturer))
#pl2 <- pl + geom_bar(aes(fill=factor(cyl)), alpha=0.5)
#print(pl2)
df <- txhousing
#print(df)
pl <- ggplot(df,aes(x=sales, y=vo... | /rvisulas08.R | no_license | venkatram64/rwork | R | false | false | 429 | r | library(ggplot2)
library(ggthemes)
df <-mpg
#pl <- ggplot(df,aes(x=hwy))
#pl2 <- pl + geom_histogram(bins=20, fill='red', alpha=0.5)
#print(pl2)
#pl <- ggplot(df,aes(x=manufacturer))
#pl2 <- pl + geom_bar(aes(fill=factor(cyl)), alpha=0.5)
#print(pl2)
df <- txhousing
#print(df)
pl <- ggplot(df,aes(x=sales, y=vo... |
#' Download and aggregate data from public bicycle hire systems
#'
#' Download data from all public bicycle hire systems which provide open data,
#' currently including
#' \itemize{
#' \item Santander Cycles London, U.K.
#' \item citibike New York City NY, U.S.A.
#' \item Divvy Chicago IL, U.S.A.
#' \item Capital Bike... | /R/bikedata-package.R | no_license | graceli8/bikedata | R | false | false | 2,716 | r | #' Download and aggregate data from public bicycle hire systems
#'
#' Download data from all public bicycle hire systems which provide open data,
#' currently including
#' \itemize{
#' \item Santander Cycles London, U.K.
#' \item citibike New York City NY, U.S.A.
#' \item Divvy Chicago IL, U.S.A.
#' \item Capital Bike... |
source( "masternegloglikeeps1.R" )
source("eudicottree.R" )
library( "expm" )
source( "Qmatrixwoodherb2.R" )
source("Pruning2.R")
bichrom.dataset<-read.table( "eudicotvals.txt",header=FALSE,sep=",",stringsAsFactors=FALSE)
last.state=50
uniform.samples<-read.csv("sample195.csv",header=FALSE)
a<- as.numeric(t(uniform.... | /Full model optimizations/explorelikeuni195.R | no_license | roszenil/Bichromdryad | R | false | false | 745 | r | source( "masternegloglikeeps1.R" )
source("eudicottree.R" )
library( "expm" )
source( "Qmatrixwoodherb2.R" )
source("Pruning2.R")
bichrom.dataset<-read.table( "eudicotvals.txt",header=FALSE,sep=",",stringsAsFactors=FALSE)
last.state=50
uniform.samples<-read.csv("sample195.csv",header=FALSE)
a<- as.numeric(t(uniform.... |
# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393
checkBits <- function() {
.Call('_largeVis_checkBits', PACKAGE = 'largeVis')
}
checkOpenMP <- function() {
.Call('_largeVis_checkOpenMP', PACKAGE = 'largeVis')
}
dbscan_cpp <- functio... | /R/RcppExports.R | no_license | meowcat/largeVis | R | false | false | 3,564 | r | # Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393
checkBits <- function() {
.Call('_largeVis_checkBits', PACKAGE = 'largeVis')
}
checkOpenMP <- function() {
.Call('_largeVis_checkOpenMP', PACKAGE = 'largeVis')
}
dbscan_cpp <- functio... |
## Checks if the file exist on the working directory, if it doesn't exist, it downloads from "http://d396qusza40orc.cloudfront.net/exdata%2Fdata
## %2Fhousehold_power_consumption.zip" and unzips the file
if(!file.exists("exdata-data-household_power_consumption.zip")) {
temp <- tempfile()
download.file(... | /plot2.R | no_license | AisaacO/ExData_Plotting1 | R | false | false | 1,739 | r | ## Checks if the file exist on the working directory, if it doesn't exist, it downloads from "http://d396qusza40orc.cloudfront.net/exdata%2Fdata
## %2Fhousehold_power_consumption.zip" and unzips the file
if(!file.exists("exdata-data-household_power_consumption.zip")) {
temp <- tempfile()
download.file(... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/normalization.R
\name{normalize}
\alias{normalize}
\title{Normalization}
\usage{
normalize(microarray)
}
\arguments{
\item{mocroarray}{A table containing at least M, A and name columns.}
}
\value{
Same table normalized and with NA removed.
}
... | /man/normalize.Rd | no_license | GilaZeus/DAMN | R | false | true | 364 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/normalization.R
\name{normalize}
\alias{normalize}
\title{Normalization}
\usage{
normalize(microarray)
}
\arguments{
\item{mocroarray}{A table containing at least M, A and name columns.}
}
\value{
Same table normalized and with NA removed.
}
... |
#### Generating figures for preliminary results
library(viridis)
library(cowplot)
### Symmetrical rates
results.symtrans <- read.table("results_symtrans.txt", sep = "\t", header = TRUE)
results.symtrans <- results.symtrans[, -dim(results.symtrans)[2]]
results.symtrans <- results.symtrans[order(results.symtrans$tree.nu... | /figs.R | no_license | lukejharmon/netphy | R | false | false | 7,570 | r | #### Generating figures for preliminary results
library(viridis)
library(cowplot)
### Symmetrical rates
results.symtrans <- read.table("results_symtrans.txt", sep = "\t", header = TRUE)
results.symtrans <- results.symtrans[, -dim(results.symtrans)[2]]
results.symtrans <- results.symtrans[order(results.symtrans$tree.nu... |
#importing data and packages
load("matched_dataset.RData") #for those downloading the code, you should use load("data_to_be_shared.RData") instead
pacman::p_load(tidyverse, sjPlot, cowplot, did, lmerTest, ggpubr, interplot,mediation, effectsize,esc, vioplot) #https://cran.r-project.org/web/packages/interplot/vignett... | /5. analysis.R | no_license | benholding/wos_mobility | R | false | false | 44,152 | r | #importing data and packages
load("matched_dataset.RData") #for those downloading the code, you should use load("data_to_be_shared.RData") instead
pacman::p_load(tidyverse, sjPlot, cowplot, did, lmerTest, ggpubr, interplot,mediation, effectsize,esc, vioplot) #https://cran.r-project.org/web/packages/interplot/vignett... |
classifieur_astronomie <- function(dataset){
library('randomForest')
library("fastDummies")
load("env.Rdata")
dataset<-dataset[,-which(names(dataset)=='objid')]; dataset<-dataset[,-which(names(dataset)=='rerun')]
dataset$camcol<-as.factor(dataset$camcol)
pred<-predict(rf.astro,newdata=dataset,type='class')
... | /projet/classifieurs.R | no_license | EnzoSeason/Machine-Learning-SY19 | R | false | false | 1,368 | r | classifieur_astronomie <- function(dataset){
library('randomForest')
library("fastDummies")
load("env.Rdata")
dataset<-dataset[,-which(names(dataset)=='objid')]; dataset<-dataset[,-which(names(dataset)=='rerun')]
dataset$camcol<-as.factor(dataset$camcol)
pred<-predict(rf.astro,newdata=dataset,type='class')
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/methods.R
\docType{methods}
\name{summary,MLZ_data-method}
\alias{summary,MLZ_data-method}
\title{\code{summary} method for S4 class \code{MLZ_data}}
\usage{
\S4method{summary}{MLZ_data}(object)
}
\arguments{
\item{object}{An object... | /man/summary-MLZ_data-method.Rd | no_license | quang-huynh/MLZ | R | false | true | 484 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/methods.R
\docType{methods}
\name{summary,MLZ_data-method}
\alias{summary,MLZ_data-method}
\title{\code{summary} method for S4 class \code{MLZ_data}}
\usage{
\S4method{summary}{MLZ_data}(object)
}
\arguments{
\item{object}{An object... |
library(DT)
library(tidytext)
library(dplyr)
library(stringr)
library(sentimentr)
library(ggplot2)
library(RColorBrewer)
library(readr)
library(SnowballC)
library(tm)
library(wordcloud)
library(reticulate)
library(crfsuite)
#With the help R code, Negative, Positive and Neutral reviews differentiated.
... | /Negative_Cloud + Reviews.R | no_license | sarabusaiprashanth/Sentiment-Analysis-On-Consumer-Reviews | R | false | false | 2,088 | r | library(DT)
library(tidytext)
library(dplyr)
library(stringr)
library(sentimentr)
library(ggplot2)
library(RColorBrewer)
library(readr)
library(SnowballC)
library(tm)
library(wordcloud)
library(reticulate)
library(crfsuite)
#With the help R code, Negative, Positive and Neutral reviews differentiated.
... |
library(shiny)
shinyUI(
navbarPage("Motor Trend Analysis",
tabPanel("Analysis",
fluidPage(
titlePanel("Comparison of Automatic vs. Manual Transmission on Auto Miles Per Gallon"),
sidebarLayout(
sidebarPanel(
... | /ui.R | no_license | jcbeck/Developing_Data_Products | R | false | false | 3,786 | r | library(shiny)
shinyUI(
navbarPage("Motor Trend Analysis",
tabPanel("Analysis",
fluidPage(
titlePanel("Comparison of Automatic vs. Manual Transmission on Auto Miles Per Gallon"),
sidebarLayout(
sidebarPanel(
... |
library(ggplot2)
library(reshape)
library(beepr)
library(plyr)
library(dplyr)
library(GenABEL)
library(crimaptools)
load("finescale/5_Recheck_Data_Fine_Scale_Chunk_Diffs.RData")
chunk.res <- NULL
for(i in 1:nrow(map.chunk.50)){
print(paste("Running problem", i, "of", nrow(map.chunk.50)))
test <- subset(m... | /5.5_Recheck_Parse_Fine_Scale_Differences.R | no_license | susjoh/DeerMapv4 | R | false | false | 6,694 | r |
library(ggplot2)
library(reshape)
library(beepr)
library(plyr)
library(dplyr)
library(GenABEL)
library(crimaptools)
load("finescale/5_Recheck_Data_Fine_Scale_Chunk_Diffs.RData")
chunk.res <- NULL
for(i in 1:nrow(map.chunk.50)){
print(paste("Running problem", i, "of", nrow(map.chunk.50)))
test <- subset(m... |
library(tidyverse)
res <- read_tsv("res_runs.tsv", col_names=c("dataset","assembler","ref_tot","ref_cov","ref_cov_frac","qry_tot","qry_cov","qry_cov_frac","contig_num"))
res %<>% mutate(rep_res = exp(-abs(log(qry_cov/ref_cov)))) %>% mutate(score = (1 - ((abs(1-ref_cov_frac)/4) + (abs(1-qry_cov_frac)/4) + (abs(1-rep_re... | /code/find_novel_cutoffs.r | permissive | altingia/benchmark | R | false | false | 2,135 | r | library(tidyverse)
res <- read_tsv("res_runs.tsv", col_names=c("dataset","assembler","ref_tot","ref_cov","ref_cov_frac","qry_tot","qry_cov","qry_cov_frac","contig_num"))
res %<>% mutate(rep_res = exp(-abs(log(qry_cov/ref_cov)))) %>% mutate(score = (1 - ((abs(1-ref_cov_frac)/4) + (abs(1-qry_cov_frac)/4) + (abs(1-rep_re... |
#' A function to fit a linear and non-linear GAM model to one's data and return some useful summary statistics
#'
#' This function fits a GAM glm in a linear and non-linear framework and tests if the glm GAM with a smooth independent is a better fit to the data.
#' @param wdata a data frame of data with appropriate col... | /R/linear_nonlinear_fits.R | permissive | hughesevoanth/moosefun | R | false | false | 5,929 | r | #' A function to fit a linear and non-linear GAM model to one's data and return some useful summary statistics
#'
#' This function fits a GAM glm in a linear and non-linear framework and tests if the glm GAM with a smooth independent is a better fit to the data.
#' @param wdata a data frame of data with appropriate col... |
\name{methods.locppm}
\alias{methods.locppm}
\alias{as.interact.locppm}
\alias{as.ppm.locppm}
\alias{coef.locppm}
\alias{confint.locppm}
\alias{is.poisson.locppm}
\alias{print.locppm}
\title{Methods for Local Gibbs Models}
\description{
Methods for various generic functions, for the class
\code{"locppm"} of locally... | /man/methods.locppm.Rd | no_license | baddstats/spatstat.local | R | false | false | 2,983 | rd | \name{methods.locppm}
\alias{methods.locppm}
\alias{as.interact.locppm}
\alias{as.ppm.locppm}
\alias{coef.locppm}
\alias{confint.locppm}
\alias{is.poisson.locppm}
\alias{print.locppm}
\title{Methods for Local Gibbs Models}
\description{
Methods for various generic functions, for the class
\code{"locppm"} of locally... |
fit.cv.BTLLasso <- function(response, design, penalty, q, m,
folds = 10, lambda, control = ctrl.BTLLasso(), cores = folds,
trace = TRUE, trace.cv = TRUE, cv.crit) {
k <- q + 1
n.design <- nrow(design)/q
if (trace.cv) {
cat("Full model", "\n")
}
m.all <- fit.BTLLasso(res... | /fuzzedpackages/BTLLasso/R/fit.cv.BTLLasso.R | no_license | akhikolla/testpackages | R | false | false | 3,009 | r |
fit.cv.BTLLasso <- function(response, design, penalty, q, m,
folds = 10, lambda, control = ctrl.BTLLasso(), cores = folds,
trace = TRUE, trace.cv = TRUE, cv.crit) {
k <- q + 1
n.design <- nrow(design)/q
if (trace.cv) {
cat("Full model", "\n")
}
m.all <- fit.BTLLasso(res... |
% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/SpatialNetwork.r
\docType{class}
\name{SpatialNetwork-class}
\alias{SpatialNetwork-class}
\title{Class \code{"SpatialNetwork"}}
\description{
Allow to store spatial networks, especially for rendering them
}
\section{Slots}{
\describe... | /man/SpatialNetwork.Rd | no_license | cran/spnet | R | false | false | 2,033 | rd | % Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/SpatialNetwork.r
\docType{class}
\name{SpatialNetwork-class}
\alias{SpatialNetwork-class}
\title{Class \code{"SpatialNetwork"}}
\description{
Allow to store spatial networks, especially for rendering them
}
\section{Slots}{
\describe... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tissot.R
\name{ti_ellipse}
\alias{ti_ellipse}
\title{Ellipse}
\usage{
ti_ellipse(center, axes, scale = 1, n = 36, from = 0, to = 2 * pi)
}
\arguments{
\item{center}{center}
\item{axes}{axes}
\item{scale}{scale}
\item{n}{n}
\item{from}{fro... | /man/ti_ellipse.Rd | no_license | hypertidy/tissot | R | false | true | 381 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tissot.R
\name{ti_ellipse}
\alias{ti_ellipse}
\title{Ellipse}
\usage{
ti_ellipse(center, axes, scale = 1, n = 36, from = 0, to = 2 * pi)
}
\arguments{
\item{center}{center}
\item{axes}{axes}
\item{scale}{scale}
\item{n}{n}
\item{from}{fro... |
testlist <- list(x = 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))
result <- do.call(myTAI:::cpp_geom_mean,testlist)
str(result) | /myTAI/inst/testfiles/cpp_geom_mean/AFL_cpp_geom_mean/cpp_geom_mean_valgrind_files/1615840611-test.R | no_license | akhikolla/updatedatatype-list3 | R | false | false | 179 | r | testlist <- list(x = 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))
result <- do.call(myTAI:::cpp_geom_mean,testlist)
str(result) |
calculate_qdProfile <- function(a ,c, g, t){
slider_values <- c(a, c, g, t)
# calculate entropy values
entropy_0 <- calculate_entropy_0(slider_values)
entropy_1 <- calculate_entropy_1(slider_values)
entropy_2 <- calculate_entropy_2(slider_values)
# convert to q-profile values
qd_0 <- entropy_0 + ... | /R/calculate_qdProfile.R | no_license | z5168021/InformationTheory | R | false | false | 1,286 | r | calculate_qdProfile <- function(a ,c, g, t){
slider_values <- c(a, c, g, t)
# calculate entropy values
entropy_0 <- calculate_entropy_0(slider_values)
entropy_1 <- calculate_entropy_1(slider_values)
entropy_2 <- calculate_entropy_2(slider_values)
# convert to q-profile values
qd_0 <- entropy_0 + ... |
leapyear <-function(a) {
if (a %% 4 == 0 && (a %% 100 != 0 || a %% 400 == 0)) {
return("It is a leap year!")
} else {
return("It is NOT a leap year!")
}
} | /leapyear.r | no_license | OSiddiqi/R | R | false | false | 172 | r | leapyear <-function(a) {
if (a %% 4 == 0 && (a %% 100 != 0 || a %% 400 == 0)) {
return("It is a leap year!")
} else {
return("It is NOT a leap year!")
}
} |
/refm/api/src/net/pop.rd | no_license | mrkn/rubydoc | R | false | false | 13,785 | rd | ||
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/GoTheDist.R
\name{GoTheDist}
\alias{GoTheDist}
\title{Calculate the distance matrix between genes based on GO annotation}
\usage{
GoTheDist(M, Min = 4, minparents = 8, MinRow = 0, maxthreads = 3,
method = "cosine")
}
\arguments{
\item{M}{ma... | /man/GoTheDist.Rd | no_license | saralinker/GONetwork | R | false | true | 678 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/GoTheDist.R
\name{GoTheDist}
\alias{GoTheDist}
\title{Calculate the distance matrix between genes based on GO annotation}
\usage{
GoTheDist(M, Min = 4, minparents = 8, MinRow = 0, maxthreads = 3,
method = "cosine")
}
\arguments{
\item{M}{ma... |
/*
File: AppleEvents.r
Contains: AppleEvent Package Interfaces.
Version: Technology: System 7.5
Release: Universal Interfaces 3.1
Copyright: © 1989-1998 by Apple Computer, Inc., all rights reserved
Bugs?: Please include the the file and version information (from above) with
the problem des... | /3.1/Universal/Interfaces/RIncludes/AppleEvents.r | no_license | elliotnunn/UniversalInterfaces | R | false | false | 4,025 | r | /*
File: AppleEvents.r
Contains: AppleEvent Package Interfaces.
Version: Technology: System 7.5
Release: Universal Interfaces 3.1
Copyright: © 1989-1998 by Apple Computer, Inc., all rights reserved
Bugs?: Please include the the file and version information (from above) with
the problem des... |
#' Wizytowka
#'
#' Funkcja \code{wizytowka_ADPD} tworzy wizytowkę dla strategii.
#' Funkcja automatycznie wczytuje nazwę strategii zgodną ze wzorcem strategia_
#'
#' @param strategia Tabela gry SuperFarmer.
#' @param N Liczba powtorzeń dla ktorych powinna być wykonana.
#'
#' @return Plik pdf z wynikami strategii.
#' ... | /SuperFarmerDA/R/wizytowka_ADPD.R | no_license | ambroziakd/KursRprojekt2 | R | false | false | 7,191 | r | #' Wizytowka
#'
#' Funkcja \code{wizytowka_ADPD} tworzy wizytowkę dla strategii.
#' Funkcja automatycznie wczytuje nazwę strategii zgodną ze wzorcem strategia_
#'
#' @param strategia Tabela gry SuperFarmer.
#' @param N Liczba powtorzeń dla ktorych powinna być wykonana.
#'
#' @return Plik pdf z wynikami strategii.
#' ... |
#to be ran after reseedBoth.R
holdoutSet <- c()
set <- c()
set.ones <- c()
set.zeros <- c()
#summary(data[,"V8517"])
set <- eval(parse(text=paste("combined.",pairedname, sep = "")))
set.ones <- eval(parse(text=paste("combined.ones.",pairedname, sep = "")))
set.zeros <- eval(parse(text=paste("combined.zeros.",pairedname... | /reseedTest.R | no_license | thistleknot/Capstone-577 | R | false | false | 4,265 | r | #to be ran after reseedBoth.R
holdoutSet <- c()
set <- c()
set.ones <- c()
set.zeros <- c()
#summary(data[,"V8517"])
set <- eval(parse(text=paste("combined.",pairedname, sep = "")))
set.ones <- eval(parse(text=paste("combined.ones.",pairedname, sep = "")))
set.zeros <- eval(parse(text=paste("combined.zeros.",pairedname... |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | /r/R/ChunkedArray.R | permissive | SeppPenner/arrow | R | false | false | 2,484 | r | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
library(msde)
### Name: sde.drift
### Title: SDE drift function.
### Aliases: sde.drift
### ** Examples
# load Heston's model
hmod <- sde.examples("hest")
# single input
x0 <- c(X = log(1000), Z = 0.1)
theta <- c(alpha = 0.1, gamma = 1, beta = 0.8, sigma = 0.6, rho = -0.8)
sde.drift(model = hmod, x = x0, theta = t... | /data/genthat_extracted_code/msde/examples/sde.drift.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 503 | r | library(msde)
### Name: sde.drift
### Title: SDE drift function.
### Aliases: sde.drift
### ** Examples
# load Heston's model
hmod <- sde.examples("hest")
# single input
x0 <- c(X = log(1000), Z = 0.1)
theta <- c(alpha = 0.1, gamma = 1, beta = 0.8, sigma = 0.6, rho = -0.8)
sde.drift(model = hmod, x = x0, theta = t... |
# clear the decks
rm(list = ls())
source("~/smr_report/globals.r")
pth <- path(str_path_repo, "svg", "reconciliation_outlines_b.svg")
pth_fixed <- path(str_path_repo, "svg", "reconciliation_outlines_b_fixed.svg")
txt <- readLines(pth)
vct_0 <- gsub("st0", "sz0", txt)
vct_1 <- gsub("st1", "sz1", vct_0)
vct_2 <- gs... | /codekit_workings/process_svg.r | no_license | thefactmachine/australia_postcodes | R | false | false | 1,872 | r |
# clear the decks
rm(list = ls())
source("~/smr_report/globals.r")
pth <- path(str_path_repo, "svg", "reconciliation_outlines_b.svg")
pth_fixed <- path(str_path_repo, "svg", "reconciliation_outlines_b_fixed.svg")
txt <- readLines(pth)
vct_0 <- gsub("st0", "sz0", txt)
vct_1 <- gsub("st1", "sz1", vct_0)
vct_2 <- gs... |
#' Show residuals from groupwise means
#'
#' Makes a specific format of plot that shows groupwise means and the residuals from those means.
#'
#' @param data A data frame containing the data to be used
#' @param formula A formula `y ~ gp`` specifying the grouping variable (`gp`) and the response variable (`y`) Formul... | /R/draw_groupwise_mod.R | no_license | dtkaplan/mdsint | R | false | false | 3,281 | r | #' Show residuals from groupwise means
#'
#' Makes a specific format of plot that shows groupwise means and the residuals from those means.
#'
#' @param data A data frame containing the data to be used
#' @param formula A formula `y ~ gp`` specifying the grouping variable (`gp`) and the response variable (`y`) Formul... |
#' Download NLA data from USEPA
#'
#' @description Retrieves NLA flat files.
#'
#' @import rappdirs
#' @importFrom utils download.file
#' @export
#'
#' @param use_rappdirs logical write files to operating system data directories at the location returned by \code{\link[rappdirs]{user_data_dir}}.
#' @param year numeric c... | /R/get.R | no_license | waternk/nlaR | R | false | false | 2,534 | r | #' Download NLA data from USEPA
#'
#' @description Retrieves NLA flat files.
#'
#' @import rappdirs
#' @importFrom utils download.file
#' @export
#'
#' @param use_rappdirs logical write files to operating system data directories at the location returned by \code{\link[rappdirs]{user_data_dir}}.
#' @param year numeric c... |
# 3 Pre-Processing --------------------------------------------------------
# https://topepo.github.io/caret/pre-processing.html
# 3.1 Creating Dummy Variables
library(earth)
data(etitanic)
head(model.matrix(survived ~ ., data = etitanic))
# Using dummyVars
dummies <- dummyVars(survived ~ ., data = etitanic)
... | /caretBook/Chapter 03 Pre-Processing.R | no_license | PyRPy/ISLR_R | R | false | false | 3,392 | r | # 3 Pre-Processing --------------------------------------------------------
# https://topepo.github.io/caret/pre-processing.html
# 3.1 Creating Dummy Variables
library(earth)
data(etitanic)
head(model.matrix(survived ~ ., data = etitanic))
# Using dummyVars
dummies <- dummyVars(survived ~ ., data = etitanic)
... |
set.seed(151)
n <- 95
X5 <- runif(n, -10, 10)
X2 <- sample(c('blue pill', 'red pill'), n, replace=TRUE)
X9 <- sample(c(0, 1), n, replace=TRUE)
X3 <- sample(c('one fish', 'two fish', 'red fish', 'blue fish'), n, replace=TRUE)
X6 <- sample(c('steak', 'chicken', 'mystery meat'), n, replace=TRUE)
X8 <- runif(n, -10, 1... | /SkillsQuizzes/modelSandbox.R | no_license | dallincoons/statistics_notebook | R | false | false | 2,045 | r | set.seed(151)
n <- 95
X5 <- runif(n, -10, 10)
X2 <- sample(c('blue pill', 'red pill'), n, replace=TRUE)
X9 <- sample(c(0, 1), n, replace=TRUE)
X3 <- sample(c('one fish', 'two fish', 'red fish', 'blue fish'), n, replace=TRUE)
X6 <- sample(c('steak', 'chicken', 'mystery meat'), n, replace=TRUE)
X8 <- runif(n, -10, 1... |
packages <- c("data.table", "reshape2")
sapply(packages, require, character.only=TRUE, quietly=TRUE)
path <- getwd()
url <- "https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip"
download.file(url, file.path(path, "dataFiles.zip"))
unzip(zipfile = "dataFiles.zip")
activityL... | /run_analysis.R | no_license | swapnil110399/getting-and-cleaning-data | R | false | false | 2,313 | r | packages <- c("data.table", "reshape2")
sapply(packages, require, character.only=TRUE, quietly=TRUE)
path <- getwd()
url <- "https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip"
download.file(url, file.path(path, "dataFiles.zip"))
unzip(zipfile = "dataFiles.zip")
activityL... |
#
# Explore Binaca Geetmala songs.
# The data was extracted from the website:
# https://www.keepaliveusa.com/binacageetmala/year/1953 where they have nicely
# compiled songs from 1953 to 1993
#
library(dplyr)
library(tidyr)
library(purrr)
library(ggplot2)
# load songs data
dfr_songs = readRDS(file = "data/so... | /binaca_geetmala/explore_songs.R | permissive | notesofdabbler/misc_projects | R | false | false | 1,400 | r | #
# Explore Binaca Geetmala songs.
# The data was extracted from the website:
# https://www.keepaliveusa.com/binacageetmala/year/1953 where they have nicely
# compiled songs from 1953 to 1993
#
library(dplyr)
library(tidyr)
library(purrr)
library(ggplot2)
# load songs data
dfr_songs = readRDS(file = "data/so... |
testthat::context("Missing arguments")
# Check Missing NorP
testthat::test_that("Expected error messages are returned", {
testthat::skip_on_cran()
AbdVectorError <- "An argument NorP or Ns must be provided."
testthat::expect_error(entropart:::Diversity.AbdVector(), AbdVectorError, ignore.case = TRUE)
testthat... | /tests/testthat/testMissingNorP.R | no_license | yangxhcaf/entropart | R | false | false | 9,777 | r | testthat::context("Missing arguments")
# Check Missing NorP
testthat::test_that("Expected error messages are returned", {
testthat::skip_on_cran()
AbdVectorError <- "An argument NorP or Ns must be provided."
testthat::expect_error(entropart:::Diversity.AbdVector(), AbdVectorError, ignore.case = TRUE)
testthat... |
# 分割表解析モデル
# テストデータ作成
test1 <- data.frame(gender=rep(1,749), which=rep(1,749))
test2 <- data.frame(gender=rep(1,83), which=rep(2,83))
test3 <- data.frame(gender=rep(2,445), which=rep(1,445))
test4 <- data.frame(gender=rep(2,636), which=rep(2,636))
test <- rbind(test1,test2)
test <- rbind(test,test3)
test <- rbind(tes... | /catdap.R | no_license | stockedge/CATDAP | R | false | false | 3,482 | r | # 分割表解析モデル
# テストデータ作成
test1 <- data.frame(gender=rep(1,749), which=rep(1,749))
test2 <- data.frame(gender=rep(1,83), which=rep(2,83))
test3 <- data.frame(gender=rep(2,445), which=rep(1,445))
test4 <- data.frame(gender=rep(2,636), which=rep(2,636))
test <- rbind(test1,test2)
test <- rbind(test,test3)
test <- rbind(tes... |
# This script describes the steps required for implementing the ADAS-CogIRT
# scoring methodology proposed in paper:
# N. Verma, S. N. Beretvas, B. Pascual, J. C. Masdeu, M. K. Markey, "New scoring
# improves the sensitivity of the Alzheimer's Disease Assessment Scale-Cognitive
# subscale (ADAS-Cog) in clinical trials... | /Codes/ADASCogIRT_code.R | no_license | nishant3115/ADAS-CogIRT-Scoring-Methodology | R | false | false | 8,970 | r | # This script describes the steps required for implementing the ADAS-CogIRT
# scoring methodology proposed in paper:
# N. Verma, S. N. Beretvas, B. Pascual, J. C. Masdeu, M. K. Markey, "New scoring
# improves the sensitivity of the Alzheimer's Disease Assessment Scale-Cognitive
# subscale (ADAS-Cog) in clinical trials... |
summary.translogRayEst <- function( object, ... ) {
object$coefTable <- coefTable( coef( object ),
diag( vcov( object ) )^0.5, df.residual( object$est ) )
class( object ) <- "summary.translogRayEst"
return( object )
}
| /pkg/micEconDist/R/summary.translogRayEst.R | no_license | scfmolina/micecon | R | false | false | 238 | r | summary.translogRayEst <- function( object, ... ) {
object$coefTable <- coefTable( coef( object ),
diag( vcov( object ) )^0.5, df.residual( object$est ) )
class( object ) <- "summary.translogRayEst"
return( object )
}
|
################# plot2.R ###################
## Exploratory Data Analysis: Course Project 2
################ Question 2 #################
## Have total emissions from PM2.5 decreased in the Baltimore City, Maryland
## (fips == "24510") from 1999 to 2008? Use the base plotting system to make
## a plot answering this... | /plot2.R | no_license | massovercharge/Course-Project-2 | R | false | false | 1,069 | r | ################# plot2.R ###################
## Exploratory Data Analysis: Course Project 2
################ Question 2 #################
## Have total emissions from PM2.5 decreased in the Baltimore City, Maryland
## (fips == "24510") from 1999 to 2008? Use the base plotting system to make
## a plot answering this... |
### neljas koolitus
| /neljas.R | no_license | lumeste/Rkoolitus | R | false | false | 21 | r | ### neljas koolitus
|
\name{DDT}
\docType{methods}
\alias{DDT}
\alias{DDT,Trace,logical,logical,numeric-method}
\alias{DDT,Trace,missing,missing,missing-method}
\title{Apply demean, detrend, cosine taper}
\description{
The \code{DDT} method of \code{Trace} objects returns a new \code{Trace}
where data in the \code{@data} slot have been mo... | /man/DDT.Rd | no_license | cran/IRISSeismic | R | false | false | 1,805 | rd | \name{DDT}
\docType{methods}
\alias{DDT}
\alias{DDT,Trace,logical,logical,numeric-method}
\alias{DDT,Trace,missing,missing,missing-method}
\title{Apply demean, detrend, cosine taper}
\description{
The \code{DDT} method of \code{Trace} objects returns a new \code{Trace}
where data in the \code{@data} slot have been mo... |
df <- data.frame('A' = c(1,2,3,4,5),
'B' = c('A','B','C','D','E'))
df[1,1] # matrislerdeki gibi satır-sütun olarak seçebiliriz
df[1,]
df[,1]
df[,c(1,2)] # tüm satırlar ile 1 ve 2. sütunları seç
df[1:2,] # 1'den başla 2. satıra kadar ve tüm sütunları seç
df['A'] # dataframe'in A sütunu (data frame ... | /R/İstatistikVeVeriBilimi/2-)VeriYapılarındaElemanSeçimi/4-)DataFrameler/1-)DataFramelerdeElemanSeçimi.R | no_license | DincerDogan/VeriBilimi | R | false | false | 503 | r | df <- data.frame('A' = c(1,2,3,4,5),
'B' = c('A','B','C','D','E'))
df[1,1] # matrislerdeki gibi satır-sütun olarak seçebiliriz
df[1,]
df[,1]
df[,c(1,2)] # tüm satırlar ile 1 ve 2. sütunları seç
df[1:2,] # 1'den başla 2. satıra kadar ve tüm sütunları seç
df['A'] # dataframe'in A sütunu (data frame ... |
c DCNF-Autarky [version 0.0.1].
c Copyright (c) 2018-2019 Swansea University.
c
c Input Clause Count: 54582
c Performing E1-Autarky iteration.
c Remaining clauses count after E-Reduction: 54040
c
c Performing E1-Autarky iteration.
c Remaining clauses count after E-Reduction: 54040
c
c Input Parameter (command line, ... | /code/dcnf-ankit-optimized/Results/QBFLIB-2018/E1/Experiments/Herbstritt/blackbox-01X-QBF/biu.mv.xl_ao.bb-b003-p020-MIF04-c05.blif-biu.inv.prop.bb-bmc.conf01.01X-QBF.BB1-Zi.BB2-01X.BB3-01X.with-IOC.unfold-008/biu.mv.xl_ao.bb-b003-p020-MIF04-c05.blif-biu.inv.prop.bb-bmc.conf01.01X-QBF.BB1-Zi.BB2-01X.BB3-01X.with-IOC.unf... | no_license | arey0pushpa/dcnf-autarky | R | false | false | 3,584 | r | c DCNF-Autarky [version 0.0.1].
c Copyright (c) 2018-2019 Swansea University.
c
c Input Clause Count: 54582
c Performing E1-Autarky iteration.
c Remaining clauses count after E-Reduction: 54040
c
c Performing E1-Autarky iteration.
c Remaining clauses count after E-Reduction: 54040
c
c Input Parameter (command line, ... |
library(infutil)
### Name: iota
### Title: Lindley Information (i.e., Information Utility) of Item Response
### Patterns
### Aliases: iota
### Keywords: models
### ** Examples
ltm.lsat <- ltm(LSAT~z1, IRT=FALSE)
Nu.lsat = nrow(unique(LSAT))
iota(ltm.lsat, data=LSAT, prior=Jeffreys(ltm.lsat))
iota(ltm.lsat, data... | /data/genthat_extracted_code/infutil/examples/iota.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 518 | r | library(infutil)
### Name: iota
### Title: Lindley Information (i.e., Information Utility) of Item Response
### Patterns
### Aliases: iota
### Keywords: models
### ** Examples
ltm.lsat <- ltm(LSAT~z1, IRT=FALSE)
Nu.lsat = nrow(unique(LSAT))
iota(ltm.lsat, data=LSAT, prior=Jeffreys(ltm.lsat))
iota(ltm.lsat, data... |
library(httr)
original <- read.csv("~/Downloads/Landfills/SD_details.csv", stringsAsFactors = FALSE)
raw <- original[1:245,]
size <- nrow(raw)
# FORMATTING RECYCLING WASTE TYPES
recycling <- raw[66:245,]
types <- recycling[,18]
for (i in seq_along(types)) {
line <- strsplit(types[i], split=",")
#recycling[i,18... | /states/SD.R | no_license | amhuang/waste-mgmt-research | R | false | false | 6,526 | r | library(httr)
original <- read.csv("~/Downloads/Landfills/SD_details.csv", stringsAsFactors = FALSE)
raw <- original[1:245,]
size <- nrow(raw)
# FORMATTING RECYCLING WASTE TYPES
recycling <- raw[66:245,]
types <- recycling[,18]
for (i in seq_along(types)) {
line <- strsplit(types[i], split=",")
#recycling[i,18... |
#' datamodelr: data model diagrams
#'
#' Provides a simple structure to describe data models,
#' functions to read data model from YAML file,
#' and a function to create DiagrammeR graph objects:
#'
#'
#' \itemize{
#' \item \pkg{datamodelr}'s data model object is a simple list of data frames which
#' represent th... | /R/dm.R | no_license | demel/datamodelr | R | false | false | 15,680 | r | #' datamodelr: data model diagrams
#'
#' Provides a simple structure to describe data models,
#' functions to read data model from YAML file,
#' and a function to create DiagrammeR graph objects:
#'
#'
#' \itemize{
#' \item \pkg{datamodelr}'s data model object is a simple list of data frames which
#' represent th... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/SDE_glm.R
\name{SDE_glm}
\alias{SDE_glm}
\title{SDE_tmle_glm}
\usage{
SDE_glm(data, forms, RCT = 0.5, transport, pooled, gstar_S = 1, truth,
B = NULL, max_iter = 100)
}
\arguments{
\item{data, }{data.frame where confounders have any names b... | /man/SDE_glm.Rd | no_license | jlstiles/SDEtransportsim | R | false | true | 4,439 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/SDE_glm.R
\name{SDE_glm}
\alias{SDE_glm}
\title{SDE_tmle_glm}
\usage{
SDE_glm(data, forms, RCT = 0.5, transport, pooled, gstar_S = 1, truth,
B = NULL, max_iter = 100)
}
\arguments{
\item{data, }{data.frame where confounders have any names b... |
raw_data <- read.csv(file = "data/inflammation.csv",
header = FALSE)
not_centered_part <- raw_data[, 4]
| /inflammation.R | no_license | bjorn-ludwigs-fair-git-r-2019/2019-04-11-FAIR-R-demo | R | false | false | 126 | r | raw_data <- read.csv(file = "data/inflammation.csv",
header = FALSE)
not_centered_part <- raw_data[, 4]
|
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