add r snippets

r.snippets.R

@@ -0,0 +1,87 @@
+snippet comment_date
+	`r paste("#", date(), "------------------------------\n")`
+
+snippet mat
+	matrix(${1:data}, nrow = ${2:rows}, ncol = ${3:cols})
+
+snippet elif
+	if (${1:condition}) {
+		${0}
+	}	else if (${1:condition}) {
+		${0}
+	}	else {
+		${0}
+	}
+
+snippet fun
+	${1:name} <- function(${2:variables}) {
+		## Description:		
+		## Input:
+		## Output:
+		
+		${0}
+	}
+
+snippet gsubstitute
+	gsub("${1:Find}","${2:Replace}",${3:variable}, fixed = T)
+
+snippet replaceText
+	regmatches(${1:String}, gregexpr(pattern="${2:Find}", text =${1:String}, fixed = T) <- "${3:newText}"
+
+snippet not%
+	'%nin%' <- Negate('%in%')
+
+snippet split
+	data.table::as.data.table(stringi::stri_split_fixed(str = ${1:String}, pattern = "${2:pattern}", simplify = T))
+
+snippet find_matches
+	regmatches(${1:String}, gregexpr(pattern="${2:Find}",text =${1:String}, fixed = T)
+
+snippet install
+	to_install <- c("${1:pack1}")	## Set packages to install here and run
+	if (unname(Sys.info()["sysname"]) == "Darwin") {
+		CPU_cores <-
+		as.integer(system(command = "sysctl -n hw.physicalcpu", intern = T))
+		# logical cores
+		# CPU_cores <- system("sysctl -n hw.ncpu")
+	} else if (unname(Sys.info()["sysname"]) == "Linux") {
+		CPU_cores <- as.integer(system(command = "nproc", intern = T))
+	}
+	options(Ncpus = CPU_cores)
+	utils::setRepositories(ind = c(1, 2, 3))
+	missing_packages <-
+		to_install[!(to_install %in% installed.packages()[, "Package"])]
+	if (length(missing_packages))
+		install.packages(missing_packages, Ncpus = getOption("Ncpus", 1L))
+	rm(missing_packages, to_install, CPU_cores)
+
+snippet roundUp 
+	source("https://raw.githubusercontent.com/dchakro/shared_Rscripts/master/roundUp.R")
+	roundUp(x = ${1:number}, to = ${2:10})
+
+snippet ggtheme
+	library(ggplot2)
+	source('https://raw.githubusercontent.com/dchakro/ggplot_themes/master/DC_theme_generator.R')
+	customtheme <- DC_theme_generator(type = "L")
+
+
+snippet ggarea
+	ggplot(data=${1:longDF}, aes(x=${2:orderedVar2}, y=${3:plottingValue})) + 
+		geom_area(alpha=1, color="black", aes(fill=${4:fill.order}), position=position_fill(reverse = T)) + 
+		ylab("Percentage of total")
+
+snippet percentScale
+	scale_y_continuous(breaks = seq(0, 1, by=0.25),labels = paste((seq(0, 1, by = .25)*100), "%", sep=""))
+	
+snippet bench
+	bmark <- microbenchmark(
+	"${1:method1}" = {
+	  	# Describe actions
+	 }
+	 },
+	"${2:method2}" = {
+	  # Describe actions
+	  }
+	}, times = 5 )
+	source("https://raw.githubusercontent.com/dchakro/shared_Rscripts/master/summarySE.R")
+	DF <- summarySE(bmark,measurevar = "time",groupvars = "expr",statistic = "mean")