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

D-side

// Jekyll Pygments syntax highlighter styles

// Color scheme
$base03:                   #002B36
$base02:                   #073642
$base01:                   #586E75
$base00:                   #657B83
$base0:                    #839496
$base1:                    #93A1A1
$base2:                    #EEE8D5

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",

HenrikBengtsson

WORK FLOW: Git and Bioconductor SVN (2016)

This is how I currently work with Git and the Bioconductor SVN. I'll use the affxparser package as an example.

Clone existing Git repository

% git clone git@github.com:HenrikBengtsson/affxparser.git
% cd affxparser

Checkout existing Git Flow branches

I'm using the Git Flow workflow everywhere, including this package. In short,

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

vidvisionify

# In this example, Deedee is the name of my Ecovacs vacuum.
# We use a placeholder image for the background
- type: picture-elements
    image: /local/pics/devices/deedee_card_unknown.png
    elements:

# This will be the background we actually see.
# The sensor is a template pulling the status attribute of the vacuum.
# These pictures are of the vacuum all in the same place. 
# The images all have a dark overlay on the bottom.

kates

ag "sometext" --nogroup | awk '{print substr($1,1,index($1,":")-1);}' | xargs -I {} sed -i .bak -e 's/sometext/anothertext/g' {}

aaronwolen

README

Setup

Use conda to install the TileDB Python API and other dependencies.

mamba env create -f environment.yaml
conda activate aind-demo

trinitronx

#!/bin/bash

libs=( "/usr/local/lib/libmacfuse_i32.2.dylib" \
"/usr/local/lib/libosxfuse_i32.2.dylib" \
"/usr/local/lib/libosxfuse_i64.2.dylib" \
"/usr/local/lib/libmacfuse_i64.2.dylib" \
"/usr/local/lib/libosxfuse_i32.la" \
"/usr/local/lib/libosxfuse_i64.la" \
"/usr/local/lib/pkgconfig/osxfuse.pc" )

imjasonh

* {
    font-size: 12pt;
    font-family: monospace;
    font-weight: normal;
    font-style: normal;
    text-decoration: none;
    color: black;
    cursor: default;
}