MihailCosmin

#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

mdsumner

tm <- quadmesh::triangmesh(volcano)
xyzg <- tibble::tibble(x = tm$vb[1, tm$it], 
                       y = tm$vb[2, tm$it], 
                       z = tm$vb[3, tm$it], 
                       g = rep(seq_len(ncol(tm$it)), each = nrow(tm$it)))
library(ggplot2)
ggplot(xyzg, aes(x, y, group = g, fill = z)) + 
  geom_polygon()

benjamin-chan

################################################################################
#
# R.nanorc -- nano syntax-highlighting file for R
#
# Origin: This file is part of the pkgutils package for R.
#
# Usage: This file should be placed in a directory such as /usr/share/nano/ (on
#   Ubuntu 12.04). That nano uses syntax highlighting at all might need to be
#   enabled separately.

jeroen

# Find all CRAN package with FORTRAN code
packages <- c()
base_url <- 'https://api.github.com/search/repositories?q=user:cran%20language:fortran'
for(page in 1:100){
  url <- paste0(base_url, "&page=", page)
  cat("Reading", url, "\n")
  repos <- jsonlite::fromJSON(url)
  if(!length(repos$items)) 
    break
  packages <- c(packages, repos$items$name)

jslefche

Black theme for ggplot2

This is an additional theme for ggplot2 that generates an inverse black and white color scheme.

Example

ggplot(mtcars, aes(wt, mpg)) + geom_point()
# Add theme_black()
ggplot(mtcars, aes(wt, mpg)) + geom_point(color = "white") + theme_black()

jennybc

scale_x_discrete(limits = rev(levels(the_factor)))