dataEconomy/static/ace/snippets/r.js

define("ace/snippets/r",["require","exports","module"],function(e,t,n){"use strict";t.snippetText='snippet #!\n	#!/usr/bin/env Rscript\n\n# includes\nsnippet lib\n	library(${1:package})\nsnippet req\n	require(${1:package})\nsnippet source\n	source(\'${1:file}\')\n\n# conditionals\nsnippet if\n	if (${1:condition}) {\n		${2:code}\n	}\nsnippet el\n	else {\n		${1:code}\n	}\nsnippet ei\n	else if (${1:condition}) {\n		${2:code}\n	}\n\n# functions\nsnippet fun\n	${1:name} = function (${2:variables}) {\n		${3:code}\n	}\nsnippet ret\n	return(${1:code})\n\n# dataframes, lists, etc\nsnippet df\n	${1:name}[${2:rows}, ${3:cols}]\nsnippet c\n	c(${1:items})\nsnippet li\n	list(${1:items})\nsnippet mat\n	matrix(${1:data}, nrow=${2:rows}, ncol=${3:cols})\n\n# apply functions\nsnippet apply\n	apply(${1:array}, ${2:margin}, ${3:function})\nsnippet lapply\n	lapply(${1:list}, ${2:function})\nsnippet sapply\n	sapply(${1:list}, ${2:function})\nsnippet vapply\n	vapply(${1:list}, ${2:function}, ${3:type})\nsnippet mapply\n	mapply(${1:function}, ${2:...})\nsnippet tapply\n	tapply(${1:vector}, ${2:index}, ${3:function})\nsnippet rapply\n	rapply(${1:list}, ${2:function})\n\n# plyr functions\nsnippet dd\n	ddply(${1:frame}, ${2:variables}, ${3:function})\nsnippet dl\n	dlply(${1:frame}, ${2:variables}, ${3:function})\nsnippet da\n	daply(${1:frame}, ${2:variables}, ${3:function})\nsnippet d_\n	d_ply(${1:frame}, ${2:variables}, ${3:function})\n\nsnippet ad\n	adply(${1:array}, ${2:margin}, ${3:function})\nsnippet al\n	alply(${1:array}, ${2:margin}, ${3:function})\nsnippet aa\n	aaply(${1:array}, ${2:margin}, ${3:function})\nsnippet a_\n	a_ply(${1:array}, ${2:margin}, ${3:function})\n\nsnippet ld\n	ldply(${1:list}, ${2:function})\nsnippet ll\n	llply(${1:list}, ${2:function})\nsnippet la\n	laply(${1:list}, ${2:function})\nsnippet l_\n	l_ply(${1:list}, ${2:function})\n\nsnippet md\n	mdply(${1:matrix}, ${2:function})\nsnippet ml\n	mlply(${1:matrix}, ${2:function})\nsnippet ma\n	maply(${1:matrix}, ${2:function})\nsnippet m_\n	m_ply(${1:matrix}, ${2:function})\n\n# plot functions\nsnippet pl\n	plot(${1:x}, ${2:y})\nsnippet ggp\n	ggplot(${1:data}, aes(${2:aesthetics}))\nsnippet img\n	${1:(jpeg,bmp,png,tiff)}(filename="${2:filename}", width=${3}, height=${4}, unit="${5}")\n	${6:plot}\n	dev.off()\n\n# statistical test functions\nsnippet fis\n	fisher.test(${1:x}, ${2:y})\nsnippet chi\n	chisq.test(${1:x}, ${2:y})\nsnippet tt\n	t.test(${1:x}, ${2:y})\nsnippet wil\n	wilcox.test(${1:x}, ${2:y})\nsnippet cor\n	cor.test(${1:x}, ${2:y})\nsnippet fte\n	var.test(${1:x}, ${2:y})\nsnippet kvt \n	kv.test(${1:x}, ${2:y})\n',t.scope="r"})