malcook

pvec2<-function(v, FUN, ..., mc.set.seed = TRUE, mc.silent = FALSE, 
                mc.cores = getOption("mc.cores", 2L), mc.cleanup = TRUE
                ,combineFUN = `c`
                ) {
### AUTHOR: malcolm_cook@stowers.org
### PURPOSE: an improvement(?) on parallel:pvec which
###  (1) does not require v to be a vector, rather, v must
###      implement `[`, `length`.  Thus, i.e. BioConductor List (including
###      GRangesList) is supported.
###  (2) uses `parallel:splitIndices` to compute indices into v

aaronwolen

#' Modified version of the ggplot2 plotmatrix function that accepts additional
#' variables for aesthetic mapping.
#' 
#' example
#' data(iris)
#' iris.vars <- c("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
#' ggpairs(data = iris, facet.vars = iris.vars, 
#'  mapping = aes(color = Species, shape = Species))

ggpairs <- function (data, facet.vars = colnames(data), facet.scale = "free",

andyferra

body {
  font-family: Helvetica, arial, sans-serif;
  font-size: 14px;
  line-height: 1.6;
  padding-top: 10px;
  padding-bottom: 10px;
  background-color: white;
  padding: 30px; }

body > *:first-child {

ramnathv

Here is how you can make a table in GFM format using knitr + ascii

render_gfm()
gfm_table <- function(x, ...) {
    require(ascii)
    y <- capture.output(print(ascii(x, ...), type = "org"))
 # substitute + with | for table markup