leeper

read.qualtrics.csv <- function(filename, stringsAsFactors = FALSE, ...) {
    n <- read.csv(filename, nrows = 1, stringsAsFactors = FALSE)
    dat <- read.csv(filename, header = FALSE, skip = 2, stringsAsFactors = stringsAsFactors, ...)
    names(dat) <- names(n)
    names(dat)[1:10] <- n[1,1:10]
    for(i in seq_along(dat)) {
        attr(dat[,i], "question") <- n[1,i]
    }
    dat
}

snim2

install:
    - sudo apt-get install texlive-latex-recommended texlive-latex-extra texlive-fonts-recommended 
    - sudo apt-get install chktex

script:
    - make
    - chktex -W # Print version information.
    - chktex -q -n 6 *.tex chapters.*.tex 2>/dev/null | tee lint.out
    # If lint output is non-empty report an error.
    - test ! -s lint.out

menugget

#plot.stream makes a "stream plot" where each y series is plotted 
#as stacked filled polygons on alternating sides of a baseline.
#
#Arguments include:
#'x' - a vector of values
#'y' - a matrix of data series (columns) corresponding to x
#'order.method' = c("as.is", "max", "first") 
#  "as.is" - plot in order of y column
#  "max" - plot in order of when each y series reaches maximum value
#  "first" - plot in order of when each y series first value > 0

mrdwab

stratified <- function(df, group, size, select = NULL, 
                       replace = FALSE, bothSets = FALSE) {
  if (is.null(select)) {
    df <- df
  } else {
    if (is.null(names(select))) stop("'select' must be a named list")
    if (!all(names(select) %in% names(df)))
      stop("Please verify your 'select' argument")
    temp <- sapply(names(select),
                   function(x) df[[x]] %in% select[[x]])

spion

// Usage: phantomjs screenshot.js 1920x1080 site.domain.com
// outputs to site.domain.com-1920x1080.png
// dont add http to the URL

// If the page didnt render in time add a delay argument 
// e.g. 3000 for 3 seconds

var page = require('webpage').create();
var args = require('system').args;
var wh = args[1].split('x');

jbryer

#' Parse a codebook file with variable and level information.
#' 
#' Parses a codebook file where lines starting at column zero (far left) represet
#' variable information (e.g. name, description, type) and indented lines 
#' (i.e. lines beginning with white space, either tabs or spaces, etc.) represent factor
#' levels and labels. 
#' 
#' Note that white space at the beginning and end of each line is stripped before
#' processing that line.
#' 

cboettig

library(segue)
setCredentials(getOption("amazon_key"), getOption("amazon_secret"))
require(mcmcTools)
X <- rnorm(20, 2, 5)
loglik <- function(pars){
    sum( dnorm(X, mean=pars[1], sd=pars[2], log=TRUE) )
  }
prior <- function(pars){
       1/pars[2]^2
}

astatham

#!/usr/local/bin/Rscript
library(twitteR)
library(imguR)
sess <- initSession("clark_lab_linux", "password")
rstats <- searchTwitter("#rstats", sess, n=1000)
#filter out junk
rstats <- rstats[sapply(sapply(rstats, screenName), length)>0]

#make graph
posters <- sort(table(sapply(rstats, screenName)), decreasing=TRUE)