alpaca
Version:
Alpaca provides the easiest and fastest way to generate interactive forms for the web and mobile devices. It runs simply as HTML5 or more elaborately using Bootstrap, jQuery Mobile or jQuery UI. Alpaca uses Handlebars to process JSON schema and provide
129 lines (126 loc) • 2.92 kB
JavaScript
define("ace/snippets/r",["require","exports","module"], function(require, exports, module) {
"use strict";
exports.snippetText = "snippet #!\n\
#!/usr/bin/env Rscript\n\
\n\
# includes\n\
snippet lib\n\
library(${1:package})\n\
snippet req\n\
require(${1:package})\n\
snippet source\n\
source('${1:file}')\n\
\n\
# conditionals\n\
snippet if\n\
if (${1:condition}) {\n\
${2:code}\n\
}\n\
snippet el\n\
else {\n\
${1:code}\n\
}\n\
snippet ei\n\
else if (${1:condition}) {\n\
${2:code}\n\
}\n\
\n\
# functions\n\
snippet fun\n\
${1:name} = function (${2:variables}) {\n\
${3:code}\n\
}\n\
snippet ret\n\
return(${1:code})\n\
\n\
# dataframes, lists, etc\n\
snippet df\n\
${1:name}[${2:rows}, ${3:cols}]\n\
snippet c\n\
c(${1:items})\n\
snippet li\n\
list(${1:items})\n\
snippet mat\n\
matrix(${1:data}, nrow=${2:rows}, ncol=${3:cols})\n\
\n\
# apply functions\n\
snippet apply\n\
apply(${1:array}, ${2:margin}, ${3:function})\n\
snippet lapply\n\
lapply(${1:list}, ${2:function})\n\
snippet sapply\n\
lapply(${1:list}, ${2:function})\n\
snippet vapply\n\
vapply(${1:list}, ${2:function}, ${3:type})\n\
snippet mapply\n\
mapply(${1:function}, ${2:...})\n\
snippet tapply\n\
tapply(${1:vector}, ${2:index}, ${3:function})\n\
snippet rapply\n\
rapply(${1:list}, ${2:function})\n\
\n\
# plyr functions\n\
snippet dd\n\
ddply(${1:frame}, ${2:variables}, ${3:function})\n\
snippet dl\n\
dlply(${1:frame}, ${2:variables}, ${3:function})\n\
snippet da\n\
daply(${1:frame}, ${2:variables}, ${3:function})\n\
snippet d_\n\
d_ply(${1:frame}, ${2:variables}, ${3:function})\n\
\n\
snippet ad\n\
adply(${1:array}, ${2:margin}, ${3:function})\n\
snippet al\n\
alply(${1:array}, ${2:margin}, ${3:function})\n\
snippet aa\n\
aaply(${1:array}, ${2:margin}, ${3:function})\n\
snippet a_\n\
a_ply(${1:array}, ${2:margin}, ${3:function})\n\
\n\
snippet ld\n\
ldply(${1:list}, ${2:function})\n\
snippet ll\n\
llply(${1:list}, ${2:function})\n\
snippet la\n\
laply(${1:list}, ${2:function})\n\
snippet l_\n\
l_ply(${1:list}, ${2:function})\n\
\n\
snippet md\n\
mdply(${1:matrix}, ${2:function})\n\
snippet ml\n\
mlply(${1:matrix}, ${2:function})\n\
snippet ma\n\
maply(${1:matrix}, ${2:function})\n\
snippet m_\n\
m_ply(${1:matrix}, ${2:function})\n\
\n\
# plot functions\n\
snippet pl\n\
plot(${1:x}, ${2:y})\n\
snippet ggp\n\
ggplot(${1:data}, aes(${2:aesthetics}))\n\
snippet img\n\
${1:(jpeg,bmp,png,tiff)}(filename=\"${2:filename}\", width=${3}, height=${4}, unit=\"${5}\")\n\
${6:plot}\n\
dev.off()\n\
\n\
# statistical test functions\n\
snippet fis\n\
fisher.test(${1:x}, ${2:y})\n\
snippet chi\n\
chisq.test(${1:x}, ${2:y})\n\
snippet tt\n\
t.test(${1:x}, ${2:y})\n\
snippet wil\n\
wilcox.test(${1:x}, ${2:y})\n\
snippet cor\n\
cor.test(${1:x}, ${2:y})\n\
snippet fte\n\
var.test(${1:x}, ${2:y})\n\
snippet kvt \n\
kv.test(${1:x}, ${2:y})\n\
";
exports.scope = "r";
});