corrade-nucleus-nucleons – Rev 20
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ace.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"})
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