content large_stringlengths 0 6.46M | path large_stringlengths 3 331 | license_type large_stringclasses 2
values | repo_name large_stringlengths 5 125 | language large_stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 4 6.46M | extension large_stringclasses 75
values | text stringlengths 0 6.46M |
|---|---|---|---|---|---|---|---|---|---|
library(productivity)
### Name: Shadowp
### Title: Shadow prices used in productivity and profitability
### computations
### Aliases: Shadowp
### Keywords: manip
### ** Examples
## Not run:
##D FISHER <- fisher(data = usagri, id.var = "States", time.var = "Years", x.vars = c(7:10),
##D y.vars = c(4:6), w.va... | /data/genthat_extracted_code/productivity/examples/Shadowp.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 486 | r | library(productivity)
### Name: Shadowp
### Title: Shadow prices used in productivity and profitability
### computations
### Aliases: Shadowp
### Keywords: manip
### ** Examples
## Not run:
##D FISHER <- fisher(data = usagri, id.var = "States", time.var = "Years", x.vars = c(7:10),
##D y.vars = c(4:6), w.va... |
load('dc_terr_elsig_holocene.Rdata')
## re-define period margins
periodsBP <- c(-11000,-9000,-7000,-5000,-3000,-1000)
periodsAD <- periodsBP + 1950
periodsName <- c("11-9","9-7","7-5","5-3","3-1")
periodsBP <- periodsAD - 1950
period_margins <- periodsAD
nper <- length(period_margins)-1
do.load <- FALSE
if (do.load)... | /eval_cbudget/get_dc_terr_elsig_periods.R | no_license | stineb/holoLU_lc6k | R | false | false | 3,363 | r | load('dc_terr_elsig_holocene.Rdata')
## re-define period margins
periodsBP <- c(-11000,-9000,-7000,-5000,-3000,-1000)
periodsAD <- periodsBP + 1950
periodsName <- c("11-9","9-7","7-5","5-3","3-1")
periodsBP <- periodsAD - 1950
period_margins <- periodsAD
nper <- length(period_margins)-1
do.load <- FALSE
if (do.load)... |
# plots cross section of a raster matrix given two endpoints of a line
xsec <- function (data, x1, y1, x2, y2){
d <- sqrt((x2-x1)^2 + (y2-y1)^2)
print (d)
a <- (y2-y1)/(x2-x1)
print (a)
d.int <- as.integer(d) #iterator
print(d.int)
x <- vector()
y <- vector()
z <- vector()
for (i in 1:d... | /xsec.R | no_license | caluchko/r_topo_profile | R | false | false | 797 | r | # plots cross section of a raster matrix given two endpoints of a line
xsec <- function (data, x1, y1, x2, y2){
d <- sqrt((x2-x1)^2 + (y2-y1)^2)
print (d)
a <- (y2-y1)/(x2-x1)
print (a)
d.int <- as.integer(d) #iterator
print(d.int)
x <- vector()
y <- vector()
z <- vector()
for (i in 1:d... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ActivateAction.R
\name{ActivateAction}
\alias{ActivateAction}
\title{ActivateAction}
\usage{
ActivateAction(id = NULL, target = NULL, startTime = NULL,
result = NULL, participant = NULL, object = NULL, location = NULL,
instrument = NULL, ... | /man/ActivateAction.Rd | no_license | cboettig/schemar | R | false | true | 5,091 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ActivateAction.R
\name{ActivateAction}
\alias{ActivateAction}
\title{ActivateAction}
\usage{
ActivateAction(id = NULL, target = NULL, startTime = NULL,
result = NULL, participant = NULL, object = NULL, location = NULL,
instrument = NULL, ... |
/Véletlenszám_Generátor_szemléltetés/Egyenletesbol_Exp_gen.R | no_license | tenkiX/R_peldak | R | false | false | 509 | r | ||
library(qlcData)
### Name: launch_shiny
### Title: Launch Shiny app
### Aliases: launch_shiny
### ** Examples
## Not run:
##D launch_shiny("tokenize")
## End(Not run)
| /data/genthat_extracted_code/qlcData/examples/launch_shiny.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 175 | r | library(qlcData)
### Name: launch_shiny
### Title: Launch Shiny app
### Aliases: launch_shiny
### ** Examples
## Not run:
##D launch_shiny("tokenize")
## End(Not run)
|
tabBox(title = "Developer Reference",
width = 20,
side = "left",
tabPanel(title = "Shiny Dashboard",
value = "releaseNotes",
icon = icon("code"),
includeMarkdown("assets/ui/help/shinyDevRef.md")
),
tabPanel(title = "Data Updates",
... | /assets/ui/devRef.R | no_license | SuperJohn/personal-finance-app | R | false | false | 450 | r | tabBox(title = "Developer Reference",
width = 20,
side = "left",
tabPanel(title = "Shiny Dashboard",
value = "releaseNotes",
icon = icon("code"),
includeMarkdown("assets/ui/help/shinyDevRef.md")
),
tabPanel(title = "Data Updates",
... |
library(glmnet)
mydata = read.table("../../../../TrainingSet/FullSet/Lasso/stomach.csv",head=T,sep=",")
x = as.matrix(mydata[,4:ncol(mydata)])
y = as.matrix(mydata[,1])
set.seed(123)
glm = cv.glmnet(x,y,nfolds=10,type.measure="mse",alpha=0.55,family="gaussian",standardize=TRUE)
sink('./stomach_061.txt',append=TRUE)
pri... | /Model/EN/Lasso/stomach/stomach_061.R | no_license | esbgkannan/QSMART | R | false | false | 346 | r | library(glmnet)
mydata = read.table("../../../../TrainingSet/FullSet/Lasso/stomach.csv",head=T,sep=",")
x = as.matrix(mydata[,4:ncol(mydata)])
y = as.matrix(mydata[,1])
set.seed(123)
glm = cv.glmnet(x,y,nfolds=10,type.measure="mse",alpha=0.55,family="gaussian",standardize=TRUE)
sink('./stomach_061.txt',append=TRUE)
pri... |
testlist <- list(ends = c(-1125300777L, 765849518L, -1760774663L, 791623263L, 1358782356L, -128659642L, -14914341L, 1092032927L, 1837701012L, 1632068659L), pts = c(1758370433L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,... | /IntervalSurgeon/inst/testfiles/rcpp_pile/AFL_rcpp_pile/rcpp_pile_valgrind_files/1609874388-test.R | no_license | akhikolla/updated-only-Issues | R | false | false | 729 | r | testlist <- list(ends = c(-1125300777L, 765849518L, -1760774663L, 791623263L, 1358782356L, -128659642L, -14914341L, 1092032927L, 1837701012L, 1632068659L), pts = c(1758370433L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,... |
#load document
params <- read.csv('./NIPS/docword.nips.txt', header=FALSE, sep=" ", nrows=3)
docwords <- read.csv('./NIPS/docword.nips.txt', header=FALSE, sep=" ", skip=3)
vocab <-read.csv('./NIPS/vocab.nips.txt', header=FALSE, sep=' ')
colnames(docwords) <- c("DocID", "WordID", "Count")
d <-params[1,] #number of docu... | /Part1.R | no_license | nramaker/AML_HW7 | R | false | false | 913 | r | #load document
params <- read.csv('./NIPS/docword.nips.txt', header=FALSE, sep=" ", nrows=3)
docwords <- read.csv('./NIPS/docword.nips.txt', header=FALSE, sep=" ", skip=3)
vocab <-read.csv('./NIPS/vocab.nips.txt', header=FALSE, sep=' ')
colnames(docwords) <- c("DocID", "WordID", "Count")
d <-params[1,] #number of docu... |
region_spei <- function(spei_files,start_y,end_y,lon_min,lon_max,lat_min,lat_max)
{
# install and load needed packages
list.of.packages <- c("ncdf4","tidyverse","chron","stringr")
new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
if(length(new.packages)) install.pack... | /R/region_spei.R | no_license | seschaub/getSpei | R | false | false | 5,609 | r | region_spei <- function(spei_files,start_y,end_y,lon_min,lon_max,lat_min,lat_max)
{
# install and load needed packages
list.of.packages <- c("ncdf4","tidyverse","chron","stringr")
new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
if(length(new.packages)) install.pack... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/eval_g.R
\name{eval.g.ar2}
\alias{eval.g.ar2}
\title{Evaluate sum of Hermite polynomials for g(pacf1) and g(pacf2)}
\usage{
eval.g.ar2(x, beta)
}
\description{
Evaluate sum of Hermite polynomials for g(pacf1) and g(pacf2)
}
\keyword{internal}... | /man/eval.g.ar2.Rd | no_license | pedrognicolau/ARbiascorrect-v1 | R | false | true | 321 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/eval_g.R
\name{eval.g.ar2}
\alias{eval.g.ar2}
\title{Evaluate sum of Hermite polynomials for g(pacf1) and g(pacf2)}
\usage{
eval.g.ar2(x, beta)
}
\description{
Evaluate sum of Hermite polynomials for g(pacf1) and g(pacf2)
}
\keyword{internal}... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tools-api.R
\name{batcher}
\alias{batcher}
\title{Download in batches}
\usage{
batcher(ids, func, ps, lvl = 0)
}
\arguments{
\item{ids}{Vector of record ids}
\item{func}{Downloader function}
\item{ps}{Parameters list, generated with paramet... | /man/batcher.Rd | permissive | ropensci/phylotaR | R | false | true | 2,666 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tools-api.R
\name{batcher}
\alias{batcher}
\title{Download in batches}
\usage{
batcher(ids, func, ps, lvl = 0)
}
\arguments{
\item{ids}{Vector of record ids}
\item{func}{Downloader function}
\item{ps}{Parameters list, generated with paramet... |
#' create curly braces as a layer in ggplot
#'
#' Imports:
#' ggplot2
#'
#' @inheritParams ggplot2::geom_path
#' @inheritParams ggplot2::geom_text
#' @import ggplot2
#'
#' @param rotate number, defines where the brace is pointing to: 0=up, 90=right, 180=down, 270=left. When specified by user, will overwrite other dire... | /R/stat_brace.R | permissive | NicolasH2/ggbrace | R | false | false | 5,129 | r |
#' create curly braces as a layer in ggplot
#'
#' Imports:
#' ggplot2
#'
#' @inheritParams ggplot2::geom_path
#' @inheritParams ggplot2::geom_text
#' @import ggplot2
#'
#' @param rotate number, defines where the brace is pointing to: 0=up, 90=right, 180=down, 270=left. When specified by user, will overwrite other dire... |
#' Extract data from objects to use in a shiny app
#'
#' This function joins the result of [tune::fit_resamples()] to the original
#' dataset to give a list that can be an input for the Shiny app.
#' @param x The [tune::fit_resamples()] result.
#' @param hover_cols The columns to display while hovering.
#' @param ... ... | /R/organize_data.R | permissive | cpsievert/shinymodels | R | false | false | 5,254 | r | #' Extract data from objects to use in a shiny app
#'
#' This function joins the result of [tune::fit_resamples()] to the original
#' dataset to give a list that can be an input for the Shiny app.
#' @param x The [tune::fit_resamples()] result.
#' @param hover_cols The columns to display while hovering.
#' @param ... ... |
library(png)
library(ggplot2)
library(grid)
load(paste(raw.data.path, "eyEdu_data.Rda", sep = ""))
# The shinyApp would display an error if it would not find background images
# Below we create an images folder and a placeholder background image with
# width and height defined by two values that must be provided... | /inst/eyEduTrialViewer/global.R | no_license | SebastianKorinth/eyEdu | R | false | false | 1,729 | r | library(png)
library(ggplot2)
library(grid)
load(paste(raw.data.path, "eyEdu_data.Rda", sep = ""))
# The shinyApp would display an error if it would not find background images
# Below we create an images folder and a placeholder background image with
# width and height defined by two values that must be provided... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/iam_operations.R
\name{iam_create_saml_provider}
\alias{iam_create_saml_provider}
\title{Creates an IAM resource that describes an identity provider (IdP) that
supports SAML 2}
\usage{
iam_create_saml_provider(SAMLMetadataDocument, Name)
}
\a... | /cran/paws.security.identity/man/iam_create_saml_provider.Rd | permissive | sanchezvivi/paws | R | false | true | 2,726 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/iam_operations.R
\name{iam_create_saml_provider}
\alias{iam_create_saml_provider}
\title{Creates an IAM resource that describes an identity provider (IdP) that
supports SAML 2}
\usage{
iam_create_saml_provider(SAMLMetadataDocument, Name)
}
\a... |
# args <- commandArgs(trailingOnly = TRUE)
# setwd("/Users/Runze/Documents/GitHub/LLG/Code/R")
# setwd("E:/GitHub/LLG/Code/R")
setwd("/cis/home/rtang/LLG/Code/R")
# m = as.numeric(args[1])
# m = 1
# isSVD = 1
# mVec = c(1, 5, 10)
mVec = 10
for (m in mVec) {
for (isSVD in 0) {
print(c(m, isSVD))
... | /Code/R/main_brute_JHU_10.R | no_license | neurodata/LLG | R | false | false | 3,092 | r |
# args <- commandArgs(trailingOnly = TRUE)
# setwd("/Users/Runze/Documents/GitHub/LLG/Code/R")
# setwd("E:/GitHub/LLG/Code/R")
setwd("/cis/home/rtang/LLG/Code/R")
# m = as.numeric(args[1])
# m = 1
# isSVD = 1
# mVec = c(1, 5, 10)
mVec = 10
for (m in mVec) {
for (isSVD in 0) {
print(c(m, isSVD))
... |
mapdeckMeshDependency <- function() {
list(
createHtmlDependency(
name = "mesh",
version = "1.0.0",
src = system.file("htmlwidgets/lib/mesh", package = "mapdeck"),
script = c("mesh.js"),
all_files = FALSE
)
)
}
find_mesh_index <- function( data ) {
switch(
data[["primitivetype"]]
, "quad" =... | /R/map_layer_mesh.R | no_license | mdsumner/mapdeck | R | false | false | 3,873 | r | mapdeckMeshDependency <- function() {
list(
createHtmlDependency(
name = "mesh",
version = "1.0.0",
src = system.file("htmlwidgets/lib/mesh", package = "mapdeck"),
script = c("mesh.js"),
all_files = FALSE
)
)
}
find_mesh_index <- function( data ) {
switch(
data[["primitivetype"]]
, "quad" =... |
model1<-lm(deaths ~ pop, data = mort)
#gleason model
model2<-lm(deaths ~ log(1+pop), data = mort)
#nonlinear Arrhenius model
model3 <- nls(deaths~b0*pop^b1,data=mort,start=list(b0=1,b1=1))
#Poisson and negative binomial models
model4<-glm(deaths~log(1+pop),data=mort,family=poisson)
library(MASS)
model5<-glm.nb(deaths~l... | /adapt2.R | no_license | MattHealey/M16 | R | false | false | 3,128 | r | model1<-lm(deaths ~ pop, data = mort)
#gleason model
model2<-lm(deaths ~ log(1+pop), data = mort)
#nonlinear Arrhenius model
model3 <- nls(deaths~b0*pop^b1,data=mort,start=list(b0=1,b1=1))
#Poisson and negative binomial models
model4<-glm(deaths~log(1+pop),data=mort,family=poisson)
library(MASS)
model5<-glm.nb(deaths~l... |
#!/usr/bin/Rscript
require(docopt)
'Usage:
neighborhoods.R [-g <geodata> -o <output> -z <zone> ]
Options:
-g Geographic data in geojson format [default: data/spatial/Neighborhoods_Philadelphia.geojson]
-o Neighborhood distance matrix [default: cache/neighborhood_distances.csv]
-z UTM Zone [default: 17]
' ... | /munge/neighborhood_distance.R | no_license | jzelner/phl-crime-model | R | false | false | 1,433 | r | #!/usr/bin/Rscript
require(docopt)
'Usage:
neighborhoods.R [-g <geodata> -o <output> -z <zone> ]
Options:
-g Geographic data in geojson format [default: data/spatial/Neighborhoods_Philadelphia.geojson]
-o Neighborhood distance matrix [default: cache/neighborhood_distances.csv]
-z UTM Zone [default: 17]
' ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/AllGenerics.R, R/AllMethods.R
\docType{methods}
\name{union}
\alias{union}
\alias{union,groups,groups-method}
\alias{union,snppicker,snppicker-method}
\alias{union,tags,tags-method}
\title{Create a union of groups, snppicker or tags objects}
... | /man/union.Rd | no_license | stas-g/GUESSFM | R | false | true | 867 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/AllGenerics.R, R/AllMethods.R
\docType{methods}
\name{union}
\alias{union}
\alias{union,groups,groups-method}
\alias{union,snppicker,snppicker-method}
\alias{union,tags,tags-method}
\title{Create a union of groups, snppicker or tags objects}
... |
# Foundation of Inference
# install.packages("WDI")
library(WDI)
WDI.data <-
WDI(country = "all",
indicator = c("SH.DYN.NMRT","DC.DAC.USAL.CD", "SH.VAC.TTNS.ZS",
"SP.URB.TOTL.IN.ZS", "NE.TRD.GNFS.ZS"),
start = 1990, end = 2005, extra = FALSE, cache = NULL)
par(mfrow = c(1, 3))
h... | /Chapters_pdfR/Foundation of Inference_ Kor_BasicStats.R | permissive | pherephobia/Kor_BasicStats | R | false | false | 10,597 | r | # Foundation of Inference
# install.packages("WDI")
library(WDI)
WDI.data <-
WDI(country = "all",
indicator = c("SH.DYN.NMRT","DC.DAC.USAL.CD", "SH.VAC.TTNS.ZS",
"SP.URB.TOTL.IN.ZS", "NE.TRD.GNFS.ZS"),
start = 1990, end = 2005, extra = FALSE, cache = NULL)
par(mfrow = c(1, 3))
h... |
X <- seq (0, 4, by = 1)
p <- c (1/2, 1/4, 1/8, 1/16, 1/16)
F <- cumsum (p)
data.frame (X, p, F)
| /cviko5/5.R | no_license | spetrovi/MV011 | R | false | false | 97 | r | X <- seq (0, 4, by = 1)
p <- c (1/2, 1/4, 1/8, 1/16, 1/16)
F <- cumsum (p)
data.frame (X, p, F)
|
#' Cross-spectrum based on mutual information
#' @export
mics <- function(
spectro1= NULL, spectro2= NULL,
feature1= NULL, feature2= NULL,
plot= F, zerofill= T, lagw = NULL,
...
){
if (!is.null(spectro1) & !is.null(spectro2)){
x <- spectro1
y <- spectro2
# Select longer signal as the static one... | /R/mics.R | no_license | crodriguez-saltos/misound | R | false | false | 2,944 | r | #' Cross-spectrum based on mutual information
#' @export
mics <- function(
spectro1= NULL, spectro2= NULL,
feature1= NULL, feature2= NULL,
plot= F, zerofill= T, lagw = NULL,
...
){
if (!is.null(spectro1) & !is.null(spectro2)){
x <- spectro1
y <- spectro2
# Select longer signal as the static one... |
#### Random Linear Models ####
random_lm1 <- lm(wage ~ factor(state) + factor(FS) + AGEP
+ factor(ENG) + factor(edu) + factor(SEX) + WKHP + factor(DIS)
+ factor(indp) + factor(occp) + factor(NATIVITY) + factor(RAC1P),
na.action=na.omit,
dat... | /random_lm_models.R | no_license | thegarthman/MastersProject | R | false | false | 674 | r | #### Random Linear Models ####
random_lm1 <- lm(wage ~ factor(state) + factor(FS) + AGEP
+ factor(ENG) + factor(edu) + factor(SEX) + WKHP + factor(DIS)
+ factor(indp) + factor(occp) + factor(NATIVITY) + factor(RAC1P),
na.action=na.omit,
dat... |
#source("https://bioconductor.org/biocLite.R")
#biocLite("VariantAnnotation")
options(echo=FALSE)
args <- commandArgs(trailingOnly = TRUE)
print(args)
minDP <- as.integer(args[1])
minAF <- as.numeric(args[2])
minStrand <- as.numeric(args[3])
file <- args[4]
library(VariantAnnotation)
pre <- FilterRules(list(isLowC... | /scripts/dna/VariantFilter_mpileup_SNP.R | no_license | BenF777/illumina_tst15 | R | false | false | 1,899 | r | #source("https://bioconductor.org/biocLite.R")
#biocLite("VariantAnnotation")
options(echo=FALSE)
args <- commandArgs(trailingOnly = TRUE)
print(args)
minDP <- as.integer(args[1])
minAF <- as.numeric(args[2])
minStrand <- as.numeric(args[3])
file <- args[4]
library(VariantAnnotation)
pre <- FilterRules(list(isLowC... |
testlist <- list(hi = -1.00252054090433e+120, lo = -1.00252054090433e+120, mu = -1.00252054090433e+120, sig = -1.00252054090433e+120)
result <- do.call(gjam:::tnormRcpp,testlist)
str(result) | /gjam/inst/testfiles/tnormRcpp/libFuzzer_tnormRcpp/tnormRcpp_valgrind_files/1610045573-test.R | no_license | akhikolla/updated-only-Issues | R | false | false | 195 | r | testlist <- list(hi = -1.00252054090433e+120, lo = -1.00252054090433e+120, mu = -1.00252054090433e+120, sig = -1.00252054090433e+120)
result <- do.call(gjam:::tnormRcpp,testlist)
str(result) |
############################################################################
## Purpose: Variable Importance
############################################################################
library(cftf,lib.loc=".")
library(randomForest)
library(rpart)
library(pls)
library(gam)
####
## Function Definition
... | /code/jochem_results/perf_fuse.R | no_license | mmorehea/NeuroMiner | R | false | false | 3,768 | r | ############################################################################
## Purpose: Variable Importance
############################################################################
library(cftf,lib.loc=".")
library(randomForest)
library(rpart)
library(pls)
library(gam)
####
## Function Definition
... |
library(amt)
### Name: hr_area
### Title: Home ranges
### Aliases: hr_area hr hr_isopleths hr_kde hr_kde.track_xy hr_kde_ref
### hr_kde_ref.track_xy hr_locoh_k hr_locoh_k.track_xy hr_mcp
### hr_mcp.track_xy
### ** Examples
data(deer)
# MCP ---------------------------------------------------------------------
... | /data/genthat_extracted_code/amt/examples/hr.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 957 | r | library(amt)
### Name: hr_area
### Title: Home ranges
### Aliases: hr_area hr hr_isopleths hr_kde hr_kde.track_xy hr_kde_ref
### hr_kde_ref.track_xy hr_locoh_k hr_locoh_k.track_xy hr_mcp
### hr_mcp.track_xy
### ** Examples
data(deer)
# MCP ---------------------------------------------------------------------
... |
/5_Data_Browser/English.lproj/PrefsDialog.r | no_license | fruitsamples/CarbonPorting | R | false | false | 10,159 | r | ||
demo_data # combiroc built-in demo data (proteomics data from Zingaretti et al. 2012 - PMC3518104)
combs <- combi(data= demo_data, signalthr=450, combithr=1) # compute combinations
combs_SE_SP <- se_sp(data=demo_data, combinations_table=combs) # compute SE and SP
... | /R/examples/ranked_combs_example.R | permissive | minghao2016/combiroc | R | false | false | 734 | r | demo_data # combiroc built-in demo data (proteomics data from Zingaretti et al. 2012 - PMC3518104)
combs <- combi(data= demo_data, signalthr=450, combithr=1) # compute combinations
combs_SE_SP <- se_sp(data=demo_data, combinations_table=combs) # compute SE and SP
... |
769968480da7f26299574d9c24fcc606 dungeon_i10-m5-u10-v0.pddl_planlen=157.qdimacs 32519 87850 | /code/dcnf-ankit-optimized/Results/QBFLIB-2018/E1/Database/Kronegger-Pfandler-Pichler/dungeon/dungeon_i10-m5-u10-v0.pddl_planlen=157/dungeon_i10-m5-u10-v0.pddl_planlen=157.R | no_license | arey0pushpa/dcnf-autarky | R | false | false | 91 | r | 769968480da7f26299574d9c24fcc606 dungeon_i10-m5-u10-v0.pddl_planlen=157.qdimacs 32519 87850 |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{json2tidy}
\alias{json2tidy}
\title{json2tidy}
\usage{
json2tidy(url)
}
\arguments{
\item{url}{The yahoo finance URL to tidy.}
}
\description{
json2tidy
}
| /man/json2tidy.Rd | no_license | Stanleymu/yfinance | R | false | true | 247 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{json2tidy}
\alias{json2tidy}
\title{json2tidy}
\usage{
json2tidy(url)
}
\arguments{
\item{url}{The yahoo finance URL to tidy.}
}
\description{
json2tidy
}
|
#!/usr/bin/env Rscript
#
# This file is part of the `OmnipathR` R package
#
# Copyright
# 2018-2021
# Saez Lab, Uniklinik RWTH Aachen, Heidelberg University
#
# File author(s): Alberto Valdeolivas
# Dénes Türei (turei.denes@gmail.com)
# Attila Gábor
#
# Distributed under the MIT... | /R/zzz.R | permissive | kerwin12580/OmnipathR | R | false | false | 965 | r | #!/usr/bin/env Rscript
#
# This file is part of the `OmnipathR` R package
#
# Copyright
# 2018-2021
# Saez Lab, Uniklinik RWTH Aachen, Heidelberg University
#
# File author(s): Alberto Valdeolivas
# Dénes Türei (turei.denes@gmail.com)
# Attila Gábor
#
# Distributed under the MIT... |
#install.packages("twitteR")
#install.packages("plyr")
#install.packages("stringr")
#install.packages("ggvis")
#install.packages("ggplot2")
#install.packages("memoise")
#install.packages("gridExtra")
# Function to check if package exists already
checkForPackage <- function(pack){
is.element(pack, installed... | /server.R | no_license | karthikchaganti/EDA-on-2016-US-Elections-Tweets | R | false | false | 10,754 | r | #install.packages("twitteR")
#install.packages("plyr")
#install.packages("stringr")
#install.packages("ggvis")
#install.packages("ggplot2")
#install.packages("memoise")
#install.packages("gridExtra")
# Function to check if package exists already
checkForPackage <- function(pack){
is.element(pack, installed... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{match_call_arg}
\alias{match_call_arg}
\title{Matches the arg to anal_prnGSPA}
\usage{
match_call_arg(call_rda = "foo", arg = "scale_log2r")
}
\arguments{
\item{call_rda}{the name of a rda.}
\item{arg}{Argument to be matched.}
... | /man/match_call_arg.Rd | permissive | sailfish009/proteoQ | R | false | true | 370 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\name{match_call_arg}
\alias{match_call_arg}
\title{Matches the arg to anal_prnGSPA}
\usage{
match_call_arg(call_rda = "foo", arg = "scale_log2r")
}
\arguments{
\item{call_rda}{the name of a rda.}
\item{arg}{Argument to be matched.}
... |
library(RDStreeboot)
### Name: sample.RDS
### Title: Draw RDS Sample
### Aliases: sample.RDS
### ** Examples
## load data
data(faux.network)
## draw RDS from network
samp <- sample.RDS(faux.network$traits, faux.network$adj.mat, 100, 2, 3, c(0,1/3,1/3,1/3), TRUE)
| /data/genthat_extracted_code/RDStreeboot/examples/sample.RDS.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 271 | r | library(RDStreeboot)
### Name: sample.RDS
### Title: Draw RDS Sample
### Aliases: sample.RDS
### ** Examples
## load data
data(faux.network)
## draw RDS from network
samp <- sample.RDS(faux.network$traits, faux.network$adj.mat, 100, 2, 3, c(0,1/3,1/3,1/3), TRUE)
|
<?xml version="1.0" encoding="utf-8"?>
<serviceModel xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema" name="SocketService" generation="1" functional="0" release="0" Id="eabf9def-fdd5-4dd0-ba87-b36318d5dad9" dslVersion="1.2.0.0" xmlns="http://schemas.microsoft.com/dslto... | /SocketService/csx/Debug/ServiceDefinition.rd | no_license | jsonknightlee/RefthisSocketServer | R | false | false | 4,612 | rd | <?xml version="1.0" encoding="utf-8"?>
<serviceModel xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema" name="SocketService" generation="1" functional="0" release="0" Id="eabf9def-fdd5-4dd0-ba87-b36318d5dad9" dslVersion="1.2.0.0" xmlns="http://schemas.microsoft.com/dslto... |
# =============================================================================================================================================
# Attempt
library(deSolve)
SIR <- function(t, x, parms) {
with(as.list(c(parms, x)), {
dS <- -beta*I/1000*S
dI <- beta*I/1000*S - r*I
dR <- r*I
output <- c(d... | /specification/lecture notes/Day 2/ex1.R | no_license | ZachWolpe/BAMM | R | false | false | 5,028 | r | # =============================================================================================================================================
# Attempt
library(deSolve)
SIR <- function(t, x, parms) {
with(as.list(c(parms, x)), {
dS <- -beta*I/1000*S
dI <- beta*I/1000*S - r*I
dR <- r*I
output <- c(d... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/datasets_documentation.R
\docType{data}
\name{sumtax_example_data}
\alias{sumtax_example_data}
\title{Taxa Summary from Produce Dataset}
\format{
A data frame
}
\source{
Adapted from \url{
http://journals.plos.org/plosone/article?id=10.1371/... | /man/sumtax_example_data.Rd | no_license | leffj/mctoolsr | R | false | true | 539 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/datasets_documentation.R
\docType{data}
\name{sumtax_example_data}
\alias{sumtax_example_data}
\title{Taxa Summary from Produce Dataset}
\format{
A data frame
}
\source{
Adapted from \url{
http://journals.plos.org/plosone/article?id=10.1371/... |
# Exercise 3: using the pipe operator
# Install (if needed) and load the "dplyr" library
#install.packages("dplyr")
library("dplyr")
# Install (if needed) and load the "fueleconomy" package
#install.packages('devtools')
#devtools::install_github("hadley/fueleconomy")
library(fueleconomy)
# Which 2015 Acura model has... | /exercise-3/exercise.R | permissive | abondarenko98/ch10-dplyr | R | false | false | 1,062 | r | # Exercise 3: using the pipe operator
# Install (if needed) and load the "dplyr" library
#install.packages("dplyr")
library("dplyr")
# Install (if needed) and load the "fueleconomy" package
#install.packages('devtools')
#devtools::install_github("hadley/fueleconomy")
library(fueleconomy)
# Which 2015 Acura model has... |
triggerReproduction <- function(length, reproState,
currentMonth, reproScenario = 'fixedClutchSize'){
if (reproScenario == 'fixedClutchSize'){
triggerEnergy <<- (length * 150.83 - 3027.244) * weightEgg
return(reproState > triggerEnergy & currentMonth %in% spawningWindow)
}
} | /functions/triggerReproduction.R | no_license | dbahlburg/SERBIK | R | false | false | 320 | r | triggerReproduction <- function(length, reproState,
currentMonth, reproScenario = 'fixedClutchSize'){
if (reproScenario == 'fixedClutchSize'){
triggerEnergy <<- (length * 150.83 - 3027.244) * weightEgg
return(reproState > triggerEnergy & currentMonth %in% spawningWindow)
}
} |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/networks.R
\name{get_degree_distribution}
\alias{get_degree_distribution}
\title{Get the degree distribution for a network.}
\usage{
get_degree_distribution(network)
}
\arguments{
\item{network}{A network object.}
}
\value{
A vector of length... | /SeqNet/man/get_degree_distribution.Rd | no_license | akhikolla/TestedPackages-NoIssues | R | false | true | 832 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/networks.R
\name{get_degree_distribution}
\alias{get_degree_distribution}
\title{Get the degree distribution for a network.}
\usage{
get_degree_distribution(network)
}
\arguments{
\item{network}{A network object.}
}
\value{
A vector of length... |
catalogue <- read.csv("depends/mics_survey_catalogue_filenames.csv",
na = "", stringsAsFactors = FALSE)
is_available <- !is.na(catalogue$datasets) & catalogue$datasets == "Available"
## assign ISO3 and survey_id
custom_matches <- c("Eswatini" = "SWZ",
"Kosovo under UNSC res... | /src/mics_rds/script.R | no_license | mrc-ide/mics-datasets | R | false | false | 5,987 | r |
catalogue <- read.csv("depends/mics_survey_catalogue_filenames.csv",
na = "", stringsAsFactors = FALSE)
is_available <- !is.na(catalogue$datasets) & catalogue$datasets == "Available"
## assign ISO3 and survey_id
custom_matches <- c("Eswatini" = "SWZ",
"Kosovo under UNSC res... |
library(BPEC)
### Name: bpec
### Title: Bayesian Phylogeographic and Ecological Clustering (BPEC)
### Aliases: bpec plot.bpec summary.bpec mean.bpec print.bpec
### Keywords: phylogeography clustering Bayesian phylogenetics
### ** Examples
## if you want to load the `mini' example Brown Frog dataset
data(Macrocnemis... | /data/genthat_extracted_code/BPEC/examples/bpec.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 4,391 | r | library(BPEC)
### Name: bpec
### Title: Bayesian Phylogeographic and Ecological Clustering (BPEC)
### Aliases: bpec plot.bpec summary.bpec mean.bpec print.bpec
### Keywords: phylogeography clustering Bayesian phylogenetics
### ** Examples
## if you want to load the `mini' example Brown Frog dataset
data(Macrocnemis... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/auxiliary_giotto.R
\name{rowMeans_giotto}
\alias{rowMeans_giotto}
\title{rowMeans_giotto}
\usage{
rowMeans_giotto(mymatrix)
}
\description{
rowMeans_giotto
}
\keyword{internal}
| /man/rowMeans_giotto.Rd | permissive | bernard2012/Giotto | R | false | true | 255 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/auxiliary_giotto.R
\name{rowMeans_giotto}
\alias{rowMeans_giotto}
\title{rowMeans_giotto}
\usage{
rowMeans_giotto(mymatrix)
}
\description{
rowMeans_giotto
}
\keyword{internal}
|
Pa <- 1/prod(49:52); Pa
Pb <- 1/choose(52,4); Pb
| /chap04/exa_0402.R | no_license | leetschau/app-of-rlang-in-stats | R | false | false | 51 | r | Pa <- 1/prod(49:52); Pa
Pb <- 1/choose(52,4); Pb
|
#' Function to normalize TF scores
#'
#' @param vipermat - matrix of VIPER scores with columns as samples,
#' rows as protein names
#' @param fdr.thresh - BH-FDR threshold (default 0.05 FDR rate)
#' @return A vector of normalized z-scores, named by TF id
#' @keywords internal
viperGetTFScores <- function(vipermat, fd... | /R/make.interactions.r | no_license | califano-lab/MOMA | R | false | false | 8,958 | r | #' Function to normalize TF scores
#'
#' @param vipermat - matrix of VIPER scores with columns as samples,
#' rows as protein names
#' @param fdr.thresh - BH-FDR threshold (default 0.05 FDR rate)
#' @return A vector of normalized z-scores, named by TF id
#' @keywords internal
viperGetTFScores <- function(vipermat, fd... |
library(shiny)
library(shinyjs)
library(shinythemes)
library(DT)
library(dplyr)
setwd("C:/Users/193344/Desktop/tracker gui")
ARMASTER <- read.csv("//knx1fs01/ED Reporting/Lowhorn Big Data/Golden Rule Data/ARMASTER.csv")
ar <- select(ARMASTER,A.R,desk,manager)
ar <- rename(ar,Desk=desk)
ar <- rename(ar,Manager=manager... | /App.R | no_license | jlow2499/Shiny-Google-Form | R | false | false | 12,586 | r | library(shiny)
library(shinyjs)
library(shinythemes)
library(DT)
library(dplyr)
setwd("C:/Users/193344/Desktop/tracker gui")
ARMASTER <- read.csv("//knx1fs01/ED Reporting/Lowhorn Big Data/Golden Rule Data/ARMASTER.csv")
ar <- select(ARMASTER,A.R,desk,manager)
ar <- rename(ar,Desk=desk)
ar <- rename(ar,Manager=manager... |
\name{earthquake}
\alias{earthquake}
\docType{data}
\title{
Earthquake locations
}
\description{
Longitude, latitude and times (starting from zero) of a set of earthquakes in and around California.
}
\usage{data(earthquake)}
\format{
A dataframe with 3 columns.
}
\keyword{datasets} | /stppResid/man/earthquake.Rd | no_license | r-clements/stppResid | R | false | false | 284 | rd | \name{earthquake}
\alias{earthquake}
\docType{data}
\title{
Earthquake locations
}
\description{
Longitude, latitude and times (starting from zero) of a set of earthquakes in and around California.
}
\usage{data(earthquake)}
\format{
A dataframe with 3 columns.
}
\keyword{datasets} |
#' Plot collapsed co-ranking matrix for heatmap for projection in a benchmark
#'
#' Creates plot showing collapsed co-ranking matrix of a dimension-reduction layout as a heatmap.
#'
#' @param benchmark an object of class \code{Benchmark}, as generated by the constructor \code{Benchmark} and evaluated using \code{Evalu... | /R/04_Visual_CoRanking.R | permissive | davnovak/SingleBench | R | false | false | 5,297 | r |
#' Plot collapsed co-ranking matrix for heatmap for projection in a benchmark
#'
#' Creates plot showing collapsed co-ranking matrix of a dimension-reduction layout as a heatmap.
#'
#' @param benchmark an object of class \code{Benchmark}, as generated by the constructor \code{Benchmark} and evaluated using \code{Evalu... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/misc.R
\name{domain_to_R}
\alias{domain_to_R}
\title{Rectangular Domain -> Unbounded Domain}
\usage{
domain_to_R(f, domain)
}
\arguments{
\item{f}{The function to wrap, should have a single vector-valued input.}
\item{domain}{A list of real ... | /activegp/man/domain_to_R.Rd | no_license | akhikolla/InformationHouse | R | false | true | 629 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/misc.R
\name{domain_to_R}
\alias{domain_to_R}
\title{Rectangular Domain -> Unbounded Domain}
\usage{
domain_to_R(f, domain)
}
\arguments{
\item{f}{The function to wrap, should have a single vector-valued input.}
\item{domain}{A list of real ... |
source.dir <- dirname(rstudioapi::getActiveDocumentContext()$path)
setwd(source.dir)
library(tm)
library(SnowballC)
library(dplyr)
library(hunspell)
library(ggplot2)
selected_cols <- c('text', 'favoriteCount', 'created', 'screenName', 'retweetCount')
john_tweets_df <- readRDS("../../Twitter Mining/John/john_house_twe... | /Codes/Analysis/by_party.R | no_license | swannyy14/Sentiment-Analysis-on-Sutherland-Springs-Shooting-by-Party | R | false | false | 3,472 | r | source.dir <- dirname(rstudioapi::getActiveDocumentContext()$path)
setwd(source.dir)
library(tm)
library(SnowballC)
library(dplyr)
library(hunspell)
library(ggplot2)
selected_cols <- c('text', 'favoriteCount', 'created', 'screenName', 'retweetCount')
john_tweets_df <- readRDS("../../Twitter Mining/John/john_house_twe... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mvcokm.param.R
\name{mvcokm.param}
\alias{mvcokm.param}
\title{Get model parameters in autoregressive cokriging models for multivarite output}
\usage{
mvcokm.param(obj)
}
\arguments{
\item{obj}{a \code{\link{mvcokm}} object construted via the... | /fuzzedpackages/ARCokrig/man/mvcokm.param.Rd | no_license | akhikolla/testpackages | R | false | true | 1,025 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mvcokm.param.R
\name{mvcokm.param}
\alias{mvcokm.param}
\title{Get model parameters in autoregressive cokriging models for multivarite output}
\usage{
mvcokm.param(obj)
}
\arguments{
\item{obj}{a \code{\link{mvcokm}} object construted via the... |
home_dir <- "~/Desktop/compass/resource/matrices/"
out_dir <- "~/Desktop/compass/resource/plots/"
plotting_flag <- TRUE
library(PharmacoGx)
library(Cairo)
library(devtools)
library(readxl)
library(openxlsx)
options(stringsAsFactors = FALSE)
identifiers <- read_xlsx("~/Desktop/compass/resource/List of COMPASS PDO Ide... | /mono_therapy/drug_response_curves/mono_curves.R | no_license | anthfm/PDAC_DrugResponse | R | false | false | 4,584 | r | home_dir <- "~/Desktop/compass/resource/matrices/"
out_dir <- "~/Desktop/compass/resource/plots/"
plotting_flag <- TRUE
library(PharmacoGx)
library(Cairo)
library(devtools)
library(readxl)
library(openxlsx)
options(stringsAsFactors = FALSE)
identifiers <- read_xlsx("~/Desktop/compass/resource/List of COMPASS PDO Ide... |
#' wrapper f to construct phage annotation counts for sample
#' while keeping sample name.
#' @param contig-cdd file
#' @param name of sample
#' @param cdd-annotation datafram
#' @return df with 3 columns: sample_name, annotation, count
annotation_counts_for_sample <- function(contig_file, sample_name, cdd_annotation)... | /annotation_count_sample.R | no_license | anatolydryga/CDD_cluster | R | false | false | 589 | r | #' wrapper f to construct phage annotation counts for sample
#' while keeping sample name.
#' @param contig-cdd file
#' @param name of sample
#' @param cdd-annotation datafram
#' @return df with 3 columns: sample_name, annotation, count
annotation_counts_for_sample <- function(contig_file, sample_name, cdd_annotation)... |
context("knitr")
test_that("An R Markdown document can be rendered using reticulate", {
skip_on_cran()
skip_on_os("windows")
skip_if_no_python()
skip_if_not_installed("rmarkdown")
modules <- c("numpy", "matplotlib")
for (module in modules) {
if (!py_module_available(module)) {
fmt <- "module '%s... | /tests/testthat/test-python-knitr-engine.R | permissive | 24sharkS/reticulate | R | false | false | 584 | r | context("knitr")
test_that("An R Markdown document can be rendered using reticulate", {
skip_on_cran()
skip_on_os("windows")
skip_if_no_python()
skip_if_not_installed("rmarkdown")
modules <- c("numpy", "matplotlib")
for (module in modules) {
if (!py_module_available(module)) {
fmt <- "module '%s... |
hyper_test <- function (
pathway_gene,
gezogene,
alle_gene,
more = T,
unique = T)
{
if (unique == T) {
pathway_gene <- unique(pathway_gene)
gezogene <- unique(gezogene)
alle_gene <- unique(alle_gene)
}
pathway_gene_inbg = pathway_gene[pathway_gene %in% alle_gene]
me... | /hyper_test.R | no_license | cfbeuchel/imise_functions | R | false | false | 4,015 | r | hyper_test <- function (
pathway_gene,
gezogene,
alle_gene,
more = T,
unique = T)
{
if (unique == T) {
pathway_gene <- unique(pathway_gene)
gezogene <- unique(gezogene)
alle_gene <- unique(alle_gene)
}
pathway_gene_inbg = pathway_gene[pathway_gene %in% alle_gene]
me... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plotCNV.R
\name{.selectRange.2}
\alias{.selectRange.2}
\title{Subset genomic ranges from multiple samples' segment-level SCNA data}
\usage{
.selectRange.2(
segDf,
chr = NULL,
start = NULL,
end = NULL,
genomeVersion = "hg38"
)
}
\arg... | /man/dot-selectRange.2.Rd | no_license | bzhanglab/genomicWidgets | R | false | true | 1,220 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plotCNV.R
\name{.selectRange.2}
\alias{.selectRange.2}
\title{Subset genomic ranges from multiple samples' segment-level SCNA data}
\usage{
.selectRange.2(
segDf,
chr = NULL,
start = NULL,
end = NULL,
genomeVersion = "hg38"
)
}
\arg... |
## Checking the availability of required packages & loading the packages
dplyr <- "dplyr" %in% rownames(installed.packages())
if(dplyr == FALSE){
install.packages("dplyr")
}
library(dplyr)
## Checking the availability of the folder
fileUrl <- "https://d396qusza40orc.cloudfront.net/getdata%2Fp... | /run_analysis.R | no_license | AhmadAbdulhameed/Getting-and-Cleaning-Data-Project | R | false | false | 3,112 | r | ## Checking the availability of required packages & loading the packages
dplyr <- "dplyr" %in% rownames(installed.packages())
if(dplyr == FALSE){
install.packages("dplyr")
}
library(dplyr)
## Checking the availability of the folder
fileUrl <- "https://d396qusza40orc.cloudfront.net/getdata%2Fp... |
rm(list=ls())
library(igraph)
human.pin <- read.csv("../../human.pin.csv", header=T, stringsAsFactors = F)
geneA <- human.pin$geneA
geneB <- human.pin$geneB
#human.pin <- read.csv("../../../ms02star/human/ms02.1.csv", header=T, stringsAsFactors=F)
#geneA <- human.pin$id1
#geneB <- human.pin$id2
#All genes appear in ... | /Data/MSigDB.go.pathway/HALLMARK_INFLAMMATORY_RESPONSE/neibor.network.R | no_license | haoboguo/NetBAS | R | false | false | 2,024 | r | rm(list=ls())
library(igraph)
human.pin <- read.csv("../../human.pin.csv", header=T, stringsAsFactors = F)
geneA <- human.pin$geneA
geneB <- human.pin$geneB
#human.pin <- read.csv("../../../ms02star/human/ms02.1.csv", header=T, stringsAsFactors=F)
#geneA <- human.pin$id1
#geneB <- human.pin$id2
#All genes appear in ... |
setwd("C:/Users/Nites/Desktop/Labs/7th Semester/DSR/Lab - 02/csv/")
data <- read.csv("indian_food.csv")
data
summary(data)
ncol(data)
nrow(data)
plot(x=data$prep_time,y=data$cook_time)
| /7th Semester/DSR/Lab - 02/execution/1a.R | no_license | niteshsrivats/Labs | R | false | false | 185 | r | setwd("C:/Users/Nites/Desktop/Labs/7th Semester/DSR/Lab - 02/csv/")
data <- read.csv("indian_food.csv")
data
summary(data)
ncol(data)
nrow(data)
plot(x=data$prep_time,y=data$cook_time)
|
#' S3 class bake_par
#
#' @param .x A list to be constructed into **bake_par**.
#'
#' @returns
#'
#' Constructor function for bake_par class. This function ensures that leaf
#' temperature gets properly "baked" into leaf parameters.
#'
#' @export
bake_par = function(.x) {
which = "bake"
# Check parameters n... | /R/bake-par.R | permissive | cran/photosynthesis | R | false | false | 808 | r | #' S3 class bake_par
#
#' @param .x A list to be constructed into **bake_par**.
#'
#' @returns
#'
#' Constructor function for bake_par class. This function ensures that leaf
#' temperature gets properly "baked" into leaf parameters.
#'
#' @export
bake_par = function(.x) {
which = "bake"
# Check parameters n... |
library(readstata13) #for reading the stata files
library(dplyr) #data manipulation
library(haven)##foreign
library(htmlTable)##html tables
library(magrittr) #manipulate
library(loose.rock) #for proper changing of the string cases
#####from yvone mergeed
df1<- read.dta13("C:/Users/user/Desktop/timeuse/dat... | /TimeUseSurvey.R | no_license | samwenda/Time-use-survey-analysis | R | false | false | 29,975 | r | library(readstata13) #for reading the stata files
library(dplyr) #data manipulation
library(haven)##foreign
library(htmlTable)##html tables
library(magrittr) #manipulate
library(loose.rock) #for proper changing of the string cases
#####from yvone mergeed
df1<- read.dta13("C:/Users/user/Desktop/timeuse/dat... |
Outp3state <- function(data, v, ...) {
return( data.frame("times1"=data[,v[1]], "delta"=as.integer(data[,v[3]] > data[,v[1]]), "times2"=data[,v[3]]-data[,v[1]], "time"=data[,v[3]], "status"=data[,v[4]], data[,-v]) )
}
| /TPmsm/R/Outp3state.R | no_license | ingted/R-Examples | R | false | false | 219 | r | Outp3state <- function(data, v, ...) {
return( data.frame("times1"=data[,v[1]], "delta"=as.integer(data[,v[3]] > data[,v[1]]), "times2"=data[,v[3]]-data[,v[1]], "time"=data[,v[3]], "status"=data[,v[4]], data[,-v]) )
}
|
library(ape)
testtree <- read.tree("6623_1.txt")
unrooted_tr <- unroot(testtree)
write.tree(unrooted_tr, file="6623_1_unrooted.txt") | /codeml_files/newick_trees_processed/6623_1/rinput.R | no_license | DaniBoo/cyanobacteria_project | R | false | false | 135 | r | library(ape)
testtree <- read.tree("6623_1.txt")
unrooted_tr <- unroot(testtree)
write.tree(unrooted_tr, file="6623_1_unrooted.txt") |
# Rclient -> EODC version: 0.4.2
library(openeo)
library(tibble)
host_url = "https://openeo.eodc.eu"
con = connect(host = host_url, version="0.4.0", login_type = "oidc",external="google",exchange_token = "id_token")
capabilities()
list_file_types()
list_collections()
d= describe_collection(id="s2a_prd_msil1c")
... | /examples/eodc-uc1-example.R | permissive | jonathom/openeo-r-client | R | false | false | 1,412 | r | # Rclient -> EODC version: 0.4.2
library(openeo)
library(tibble)
host_url = "https://openeo.eodc.eu"
con = connect(host = host_url, version="0.4.0", login_type = "oidc",external="google",exchange_token = "id_token")
capabilities()
list_file_types()
list_collections()
d= describe_collection(id="s2a_prd_msil1c")
... |
### R code from vignette source 'Prinsimp-introduction.Rnw'
| /data/genthat_extracted_code/prinsimp/vignettes/Prinsimp-introduction.R | no_license | surayaaramli/typeRrh | R | false | false | 61 | r | ### R code from vignette source 'Prinsimp-introduction.Rnw'
|
## Alexandra King - V00827380
## Geog418 Assignment 4
################################
#### Prepare Pollution Data ####
################################
install.packages("rgdal")
install.packages("gstat")
install.packages("sp")
install.packages("spatstat")
install.packages("maptools")
install.packages("rast... | /Lab4_RCode_AKing.R | no_license | alxandraking/geog418 | R | false | false | 16,495 | r | ## Alexandra King - V00827380
## Geog418 Assignment 4
################################
#### Prepare Pollution Data ####
################################
install.packages("rgdal")
install.packages("gstat")
install.packages("sp")
install.packages("spatstat")
install.packages("maptools")
install.packages("rast... |
#' Get Operator
#'
#' Gets an operator.
#'
#' @param token
#' Your API token.
#'
#' @rdname operators
#' @export
get_operator <- function(token) {
path <- sprintf("/operators/%s", get_segment(token))
response <- GET(get_endpoint(path), add_headers(.headers = to_headers(token)))
status_code <- status_code(r... | /R/operators.R | no_license | kos59125/soracomr | R | false | false | 619 | r | #' Get Operator
#'
#' Gets an operator.
#'
#' @param token
#' Your API token.
#'
#' @rdname operators
#' @export
get_operator <- function(token) {
path <- sprintf("/operators/%s", get_segment(token))
response <- GET(get_endpoint(path), add_headers(.headers = to_headers(token)))
status_code <- status_code(r... |
library(minpack.lm)
require(graphics)
# Data <- read.table(file="../Data/900days.txt", header=TRUE, sep="")
Data <- read.csv(file="../Data/ClimateData.csv", header=TRUE)
Data <- Data[!is.na(Data$NZS),]
x_0_strt <- mean(Data$NZS) # Vertical shift
A_strt <- (max(Data$NZS) - min(Data$NZS)) / 2 # Amplitude
L_strt <- 12 #... | /content/code/TimeSer.R | permissive | joseph-palmer/TheMulQuaBio | R | false | false | 811 | r | library(minpack.lm)
require(graphics)
# Data <- read.table(file="../Data/900days.txt", header=TRUE, sep="")
Data <- read.csv(file="../Data/ClimateData.csv", header=TRUE)
Data <- Data[!is.na(Data$NZS),]
x_0_strt <- mean(Data$NZS) # Vertical shift
A_strt <- (max(Data$NZS) - min(Data$NZS)) / 2 # Amplitude
L_strt <- 12 #... |
# testing generate_figures
# R studio top right window
# Go to more>document
# Install and Restart
library(magrittr)
library(jgcricolors)
library(dplyr)
library(rmap)
images = r"{C:\Users\thom927\Documents\metarepos\khan-etal_2022_tethysSSPRCP\webpage\images\}"
folder = "C:/Users/thom927/Documents/Data/tethysDemeter... | /scripts/devTests.R | no_license | JGCRI/khan-etal_2022_tethysSSPRCP | R | false | false | 801 | r | # testing generate_figures
# R studio top right window
# Go to more>document
# Install and Restart
library(magrittr)
library(jgcricolors)
library(dplyr)
library(rmap)
images = r"{C:\Users\thom927\Documents\metarepos\khan-etal_2022_tethysSSPRCP\webpage\images\}"
folder = "C:/Users/thom927/Documents/Data/tethysDemeter... |
## Copyright 2012 Sebastian Gibb
## <mail@sebastiangibb.de>
##
## This is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## (at your option) any later version.
##
## It is d... | /printPercentage-functions.R | no_license | sgibb/analyzezamsdatabases | R | false | false | 755 | r | ## Copyright 2012 Sebastian Gibb
## <mail@sebastiangibb.de>
##
## This is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## (at your option) any later version.
##
## It is d... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/alignment-utils.R
\name{aberrantSep}
\alias{aberrantSep}
\title{Assesses whether two reads in a pair are aberrantly separated with respect to the reference genome}
\usage{
aberrantSep(gpairs, distance = 10000)
}
\arguments{
\item{gpairs}{a \c... | /man/aberrantSep.Rd | no_license | cancer-genomics/trellis | R | false | true | 686 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/alignment-utils.R
\name{aberrantSep}
\alias{aberrantSep}
\title{Assesses whether two reads in a pair are aberrantly separated with respect to the reference genome}
\usage{
aberrantSep(gpairs, distance = 10000)
}
\arguments{
\item{gpairs}{a \c... |
## 5. Užduotis
set.seed(314)
library(MASS)
## Duomenys iš 1) ir 2). Įvertinkite parametrus naudodami `R` funkciją
## `fitdistr(duomenys, "skirstinys")`
n <- 100L
lambda <- 7 ## laisvai pasirinkta reikšmė
exp_inverse_cdf <- function(theta) { ## Eksponentinis
function(probs) {
-1 / theta[1] * log(1 - pro... | /part-1/task-5.R | no_license | vabalas/pns-tasks | R | false | false | 821 | r | ## 5. Užduotis
set.seed(314)
library(MASS)
## Duomenys iš 1) ir 2). Įvertinkite parametrus naudodami `R` funkciją
## `fitdistr(duomenys, "skirstinys")`
n <- 100L
lambda <- 7 ## laisvai pasirinkta reikšmė
exp_inverse_cdf <- function(theta) { ## Eksponentinis
function(probs) {
-1 / theta[1] * log(1 - pro... |
# Sample Abe-Ley
#
# This script contains helper functions for sampling from the Abe-Ley model for cylindrical data
#
## simulate from wrapped cauchy distribution ##
# input
# n = sample size
# mu = circular mean
# rho = circular concentration
rwcauchy <- function(n, mu, rho){
if (rho == 0)
result <- ru... | /Manuscript/R-code/Sample Abe-Ley.R | no_license | joliencremers/CylindricalComparisonCircumplex | R | false | false | 1,499 | r | # Sample Abe-Ley
#
# This script contains helper functions for sampling from the Abe-Ley model for cylindrical data
#
## simulate from wrapped cauchy distribution ##
# input
# n = sample size
# mu = circular mean
# rho = circular concentration
rwcauchy <- function(n, mu, rho){
if (rho == 0)
result <- ru... |
library(PLMIX)
### Name: label_switchPLMIX
### Title: Label switching adjustment for Bayesian mixtures of
### Plackett-Luce models
### Aliases: label_switchPLMIX
### ** Examples
data(d_carconf)
K <- ncol(d_carconf)
n.start <- 2
MAP_1 <- mapPLMIX_multistart(pi_inv=d_carconf, K=K, G=1,
... | /data/genthat_extracted_code/PLMIX/examples/label_switchPLMIX.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 1,948 | r | library(PLMIX)
### Name: label_switchPLMIX
### Title: Label switching adjustment for Bayesian mixtures of
### Plackett-Luce models
### Aliases: label_switchPLMIX
### ** Examples
data(d_carconf)
K <- ncol(d_carconf)
n.start <- 2
MAP_1 <- mapPLMIX_multistart(pi_inv=d_carconf, K=K, G=1,
... |
/Practica_applys.R | no_license | YarlyMadrid/Codigo_Rproject | R | false | false | 1,126 | r | ||
# Reading data
power <- read.table("household_power_consumption.txt",skip=1,sep=";")
# Naming power
names(power) <- c("Date","Time","Global_active_power","Global_reactive_power","Voltage","Global_intensity","Sub_metering_1","Sub_metering_2","Sub_metering_3")
# Selecting from power
subpower <- subset(power,power$... | /plot3.R | no_license | JLandion/ExData_Plotting1 | R | false | false | 1,293 | r | # Reading data
power <- read.table("household_power_consumption.txt",skip=1,sep=";")
# Naming power
names(power) <- c("Date","Time","Global_active_power","Global_reactive_power","Voltage","Global_intensity","Sub_metering_1","Sub_metering_2","Sub_metering_3")
# Selecting from power
subpower <- subset(power,power$... |
library(ggplot2)
library(MASS)
filelist = list.files(pattern = "*.txt")
datalist = lapply(filelist, function(x)read.csv(x,skip = 2, stringsAsFactors = F))
raw = do.call("rbind", datalist)
# put all the raw data into a vector
matrix.raw <- as.matrix(raw)[,-1]
vector.raw <- as.vector(t(matrix.raw))
length(vector.raw)
... | /rain gauge.R | no_license | YitongZhou/881 | R | false | false | 2,243 | r | library(ggplot2)
library(MASS)
filelist = list.files(pattern = "*.txt")
datalist = lapply(filelist, function(x)read.csv(x,skip = 2, stringsAsFactors = F))
raw = do.call("rbind", datalist)
# put all the raw data into a vector
matrix.raw <- as.matrix(raw)[,-1]
vector.raw <- as.vector(t(matrix.raw))
length(vector.raw)
... |
# If the file is not there, we will download and extract from the zip file. the File it's huge so just download it if we need it
if (!file.exists('household_power_consumption.zip')) {
# Download file
download.file(url='https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip', destfile... | /plot4.R | no_license | jgarcia241/ExData_Plotting1 | R | false | false | 1,641 | r | # If the file is not there, we will download and extract from the zip file. the File it's huge so just download it if we need it
if (!file.exists('household_power_consumption.zip')) {
# Download file
download.file(url='https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip', destfile... |
#setwd("spongeEMPchemistry-master")
##paths
dir <- "3.results/otu.create.data.output/"
#after running 1.filter.awk.sh
read.table(file="2.scripts/4.otu.create.offset/final.otu.txt", sep="\t", header=TRUE, check.names = FALSE) -> emp.orig_all # this is the data for the offset-calculation-file-table
load(file="3.resul... | /2.scripts/4.otu.create.offset/4.2.otu.create.offset.R | no_license | marinemoleco/spongeEMPchemistry | R | false | false | 889 | r | #setwd("spongeEMPchemistry-master")
##paths
dir <- "3.results/otu.create.data.output/"
#after running 1.filter.awk.sh
read.table(file="2.scripts/4.otu.create.offset/final.otu.txt", sep="\t", header=TRUE, check.names = FALSE) -> emp.orig_all # this is the data for the offset-calculation-file-table
load(file="3.resul... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{last_assess_yr}
\alias{last_assess_yr}
\title{The last year the stock was assessed}
\format{
A character string
}
\usage{
last_assess_yr
}
\description{
The last year the stock was assessed
}
\keyword{datasets}
| /man/last_assess_yr.Rd | no_license | pbs-assess/arrowtooth | R | false | true | 317 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{last_assess_yr}
\alias{last_assess_yr}
\title{The last year the stock was assessed}
\format{
A character string
}
\usage{
last_assess_yr
}
\description{
The last year the stock was assessed
}
\keyword{datasets}
|
#'////////////////////////////////////////////////////////////////////////////
#' FILE: app.R
#' AUTHOR: David Ruvolo
#' CREATED: 2020-03-15
#' MODIFIED: 2020-12-01
#' PURPOSE: a simple responsive datatable with images
#' STATUS: in.progress
#' PACKAGES: shiny; accessibleshiny
#' COMMENTS: NA
#'////////////////////////... | /bird-counts-example/app.R | no_license | davidruvolo51/shinyAppGallery | R | false | false | 815 | r | #'////////////////////////////////////////////////////////////////////////////
#' FILE: app.R
#' AUTHOR: David Ruvolo
#' CREATED: 2020-03-15
#' MODIFIED: 2020-12-01
#' PURPOSE: a simple responsive datatable with images
#' STATUS: in.progress
#' PACKAGES: shiny; accessibleshiny
#' COMMENTS: NA
#'////////////////////////... |
/libc/stdio/fopen/man.r | no_license | paulohrpinheiro/tropix-libs | R | false | false | 3,921 | r | ||
\name{deleteSelectedEdges}
\alias{deleteSelectedEdges}
\alias{deleteSelectedEdges,CytoscapeWindowClass-method}
\title{deleteSelectedEdges}
\description{In Cytoscape, remove all selected edges. These edges will
still exist in the corresponding R graph until you delete them there
as well.
}
\usage{
deleteSelectedEdg... | /man/deleteSelectedEdges.Rd | no_license | pshannon-bioc/RCy3 | R | false | false | 859 | rd | \name{deleteSelectedEdges}
\alias{deleteSelectedEdges}
\alias{deleteSelectedEdges,CytoscapeWindowClass-method}
\title{deleteSelectedEdges}
\description{In Cytoscape, remove all selected edges. These edges will
still exist in the corresponding R graph until you delete them there
as well.
}
\usage{
deleteSelectedEdg... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/docx_replace.R
\name{body_replace_all_text}
\alias{body_replace_all_text}
\alias{headers_replace_all_text}
\alias{footers_replace_all_text}
\title{Replace text anywhere in the document, or at a cursor}
\usage{
body_replace_all_text(x, old_val... | /man/body_replace_all_text.Rd | no_license | kashenfelter/officer | R | false | true | 3,410 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/docx_replace.R
\name{body_replace_all_text}
\alias{body_replace_all_text}
\alias{headers_replace_all_text}
\alias{footers_replace_all_text}
\title{Replace text anywhere in the document, or at a cursor}
\usage{
body_replace_all_text(x, old_val... |
RunStanGit=function(url.loc,dat.loc.in,r.file,flag=T){
# Internal Functions ----
unpack.list <- function(object) {
for(.x in names(object)){
assign(value = object[[.x]], x=.x, envir = parent.frame())
}
}
strip.path=function(y){
str=strsplit(y,'[\\/]')[[1]]
str[length(str)]
}
set... | /inst/examples/remote_git/www/functions/RunStanGit.r | no_license | cran/d3Tree | R | false | false | 5,278 | r | RunStanGit=function(url.loc,dat.loc.in,r.file,flag=T){
# Internal Functions ----
unpack.list <- function(object) {
for(.x in names(object)){
assign(value = object[[.x]], x=.x, envir = parent.frame())
}
}
strip.path=function(y){
str=strsplit(y,'[\\/]')[[1]]
str[length(str)]
}
set... |
# e2 - for etsim iteration 2, and beyond
weights[,,4] <- weights[,,4] * weights[,,1] * weights[,,2] * weights[,,3]
ind.agg[,,1] <- ind.agg[,,4]
# re-weighting for constraint 1 via IPF
for (j in 1:nrow(all.msim)){
for(i in 1:ncol(con1)){
weights[which(ind.cat[,i] == 1),j,1] <- con1[j,i] /ind.agg[j,i,1]}}
# con... | /models/small-area/e2.R | no_license | Robinlovelace/IPF-performance-testing | R | false | false | 1,371 | r | # e2 - for etsim iteration 2, and beyond
weights[,,4] <- weights[,,4] * weights[,,1] * weights[,,2] * weights[,,3]
ind.agg[,,1] <- ind.agg[,,4]
# re-weighting for constraint 1 via IPF
for (j in 1:nrow(all.msim)){
for(i in 1:ncol(con1)){
weights[which(ind.cat[,i] == 1),j,1] <- con1[j,i] /ind.agg[j,i,1]}}
# con... |
#' Get / Set SPSS missing values
#'
#' @param x A vector.
#' @param value A vector of values that should also be considered as missing
#' (for \code{na_values}) or a numeric vector of length two giving the (inclusive)
#' extents of the range (for \code{na_values}, use \code{-Inf} and \code{Inf} if you
#' want the range... | /R/na_values.R | no_license | gdutz/labelled | R | false | false | 4,347 | r | #' Get / Set SPSS missing values
#'
#' @param x A vector.
#' @param value A vector of values that should also be considered as missing
#' (for \code{na_values}) or a numeric vector of length two giving the (inclusive)
#' extents of the range (for \code{na_values}, use \code{-Inf} and \code{Inf} if you
#' want the range... |
library(tidyverse)
library(ggbump)
library(ggtext)
library(extrafont)
loadfonts(device = "win")
df_years <- readxl::read_excel(here::here("data", "day_5_ascensores.xlsx"),
sheet = "years") %>%
mutate(fin = ifelse(is.na(Cese_de_actividad), 2021, Cese_de_actividad)) %>%
rowid_to_column... | /R/day_6_wip.R | permissive | stmarcin/30DayChartChallenge | R | false | false | 3,418 | r | library(tidyverse)
library(ggbump)
library(ggtext)
library(extrafont)
loadfonts(device = "win")
df_years <- readxl::read_excel(here::here("data", "day_5_ascensores.xlsx"),
sheet = "years") %>%
mutate(fin = ifelse(is.na(Cese_de_actividad), 2021, Cese_de_actividad)) %>%
rowid_to_column... |
#' Calculate model performance metrics
#'
#' Calculates model performace metrics from the netcdf file generated by running `run_ensemble`
#'
#' @param ncdf Path to the netcdf file generated by running `run_ensemble`
#' @param list Alternatively to `ncdf` a list of siimulated variables, as returned by
#' `run_ensembl... | /R/calc_fit.R | permissive | addelany/LakeEnsemblR | R | false | false | 4,759 | r | #' Calculate model performance metrics
#'
#' Calculates model performace metrics from the netcdf file generated by running `run_ensemble`
#'
#' @param ncdf Path to the netcdf file generated by running `run_ensemble`
#' @param list Alternatively to `ncdf` a list of siimulated variables, as returned by
#' `run_ensembl... |
#library(hexSticker)
#red on white
imgurl <- "./inst/safetyGraphicsHex/noun_heart_rate_210541_ec5d57.png"
# sticker(
# imgurl,
# filename="./inst/safetyGraphicsHex/safetyGraphicsHex.png",
# package = "safetyGraphics",
# p_color = "#666666",
# p_size = 5,
# p_family = "serif",
# p_y = 0.5,
# s_x = 1,
# ... | /inst/safetyGraphicsHex/safetyHex.R | no_license | cran/safetyGraphics | R | false | false | 394 | r | #library(hexSticker)
#red on white
imgurl <- "./inst/safetyGraphicsHex/noun_heart_rate_210541_ec5d57.png"
# sticker(
# imgurl,
# filename="./inst/safetyGraphicsHex/safetyGraphicsHex.png",
# package = "safetyGraphics",
# p_color = "#666666",
# p_size = 5,
# p_family = "serif",
# p_y = 0.5,
# s_x = 1,
# ... |
rename<-function(data){
saminfo<-read.table("/media/NAS1/shg047/monod/hapinfo/N37Salk.saminfo",sep="\t")
head(saminfo)
colnames(data)<-gsub(".allchrs.rmdup.bam.mhbs","",colnames(data))
colnames(data)<-gsub(".allchrs.sorted.clipped.bam.mhbs","",colnames(data))
colnames(data)[grep("age|new|centenarian",colname... | /monod/Manuscript/MONOD_analysis_scripts/bak/rename.R | no_license | Shicheng-Guo/methylation2020 | R | false | false | 3,206 | r |
rename<-function(data){
saminfo<-read.table("/media/NAS1/shg047/monod/hapinfo/N37Salk.saminfo",sep="\t")
head(saminfo)
colnames(data)<-gsub(".allchrs.rmdup.bam.mhbs","",colnames(data))
colnames(data)<-gsub(".allchrs.sorted.clipped.bam.mhbs","",colnames(data))
colnames(data)[grep("age|new|centenarian",colname... |
#######################################################################
# set parameters of XBART
get_XBART_params <- function(y) {
XBART_params = list(num_trees = 30, # number of trees
num_sweeps = 40, # number of sweeps (samples of the forest)
n_min = 1, # minimal node s... | /tests/test_BART_init.R | no_license | andrewherren/XBCF | R | false | false | 8,386 | r | #######################################################################
# set parameters of XBART
get_XBART_params <- function(y) {
XBART_params = list(num_trees = 30, # number of trees
num_sweeps = 40, # number of sweeps (samples of the forest)
n_min = 1, # minimal node s... |
## Read data from file and filter only the rows needed for this exercise
rawdata <- read.table("household_power_consumption.txt", header = FALSE, sep = ";", na.strings = "?", skip = 66637, nrow = 2880, stringsAsFactors = FALSE)
colnames(rawdata) <- colnames(read.table("household_power_consumption.txt", header = TRUE, s... | /plot4.R | no_license | felixlauyh/ExData_Plotting1 | R | false | false | 1,358 | r | ## Read data from file and filter only the rows needed for this exercise
rawdata <- read.table("household_power_consumption.txt", header = FALSE, sep = ";", na.strings = "?", skip = 66637, nrow = 2880, stringsAsFactors = FALSE)
colnames(rawdata) <- colnames(read.table("household_power_consumption.txt", header = TRUE, s... |
# kalman filter using fkf
source("FilteringHelper.R")
# INPUT
# Tt: system model coefficient
# HHt: system model noize variance matrix ^2
# Zt: observation model coefficient
# GGt: observation model noize variance matrix ^2
# OUTPUT
# att: filtered state
# at: predicted state
# Ptt: variance of att
# Pt: variance... | /KalmanFilter.R | no_license | watermouth/FiringRateEstimation | R | false | false | 842 | r | # kalman filter using fkf
source("FilteringHelper.R")
# INPUT
# Tt: system model coefficient
# HHt: system model noize variance matrix ^2
# Zt: observation model coefficient
# GGt: observation model noize variance matrix ^2
# OUTPUT
# att: filtered state
# at: predicted state
# Ptt: variance of att
# Pt: variance... |
glm_model_tx <- linear_reg(
mixture = 1,
penalty = tune()
) %>%
set_mode("regression") %>%
set_engine("glmnet")
glm_model_grid_tx <- glm_model_tx %>%
parameters() %>%
update(penalty = penalty(range = c(0, 2), trans = NULL)) %>%
grid_regular(levels = 50)
glm_rcp_tx <- . %>%
select(-any_of(c("consid",... | /scripts/scripts/model_development/model_config_tx.R | no_license | paritosh-aigora/gsk-centrum-classic | R | false | false | 804 | r |
glm_model_tx <- linear_reg(
mixture = 1,
penalty = tune()
) %>%
set_mode("regression") %>%
set_engine("glmnet")
glm_model_grid_tx <- glm_model_tx %>%
parameters() %>%
update(penalty = penalty(range = c(0, 2), trans = NULL)) %>%
grid_regular(levels = 50)
glm_rcp_tx <- . %>%
select(-any_of(c("consid",... |
# ====================== Generate species viral discovery rate curves for mammals at the Order level =====================
# proof of concept/general trends
# fit curves across time epochs to examine changes in trends
# how robust are these to adjusting for annual publication effort?
# root dir and dependencies
#... | /scripts_archive/curves_mammalorders_virfam.R | no_license | rorygibb/pathogen_discovery | R | false | false | 18,057 | r |
# ====================== Generate species viral discovery rate curves for mammals at the Order level =====================
# proof of concept/general trends
# fit curves across time epochs to examine changes in trends
# how robust are these to adjusting for annual publication effort?
# root dir and dependencies
#... |
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