bhaskarvk

This approach uses update-alternatives to manage GCC and LLVM/CLANG C/C++ compiler toolchains. Although tested on Linux Mint 18.3, this approach should work on any Debian based distro or for that matter any Linux distro with update-alternatives support, provided the packages are installed correctly.

There are 3 files

• gcc-alternatives.sh installs GCC versions 5/6/7 and sets up alternatives for gcc/g++/cpp/gfortran.
• llvm-clang-alternatives.sh installs LLVM and CLANG versions 4/5 and sets up alternatives for various LLVM and CLANG programs including clang and clang++.
• cc-alternatives.sh sets up alternatives for the cc, cxx, and the ld commands. This script can be used to change systemwide default compiler/linker combination to either GCC or CLANG.

Once these scripts are run you can change the system GCC/CLANG versions by running sudo update-alternatives --config gcc|clang. To change the default compiler/linker combo used by t

johan

# request one at http://api.census.gov/data/key_signup.html and paste it below
CENSUS_API_KEY=YOUR_CODE_HERE

# a factor 1609.34 squared
SQ_M_TO_SQ_MI=2589975.2356

#prereqs:
# npm install -g shapefile # 0.6.1
# npm install -g d3-geo-projection # 1.2.1
# npm install -g ndjson-cli # 0.3.0

mdsumner

```{r}
library(rgdal)
data(meuse)

listcoords <- lapply(split(meuse, meuse$landuse), function(x) cbind(x$x, x$y))

spmdf <- SpatialMultiPointsDataFrame(listcoords, data.frame(name = names(listcoords), count = sapply(listcoords, nrow), stringsAsFactors = FALSE))
proj4string(spmdf ) <- CRS("+init=epsg:28992")
## there are 15 features with differing numbers of coordinates each
#plot(spmdf, col = viridis::viridis(length(spmdf)))

keberwein

library(plyr); library(dplyr); library(leaflet); library(stringi);
library(htmltools); library(RColorBrewer); library(rvest)

# Parse and read storm track data.
html <- read_html('http://weather.unisys.com/hurricane/atlantic/2016/index.php')
links <- html_attr(html_nodes(html, "a"), "href")
links <- links[grep('track.dat', links)]

track <- select.list(links, title="Select storm:", graphics = FALSE)
#track <- "MATTHEW/track.dat"

jcheng5

Using arbitrary Leaflet JS plugins with Leaflet for R

The Leaflet JS mapping library has lots of plugins available. The Leaflet package for R provides direct support for some, but far from all, of these plugins, by providing R functions for invoking the plugins.

If you as an R user find yourself wanting to use a Leaflet plugin that isn't directly supported in the R package, you can use the technique shown here to load the plugin yourself and invoke it using JS code.

bmhatfield

# In order for gpg to find gpg-agent, gpg-agent must be running, and there must be an env
# variable pointing GPG to the gpg-agent socket. This little script, which must be sourced
# in your shell's init script (ie, .bash_profile, .zshrc, whatever), will either start
# gpg-agent or set up the GPG_AGENT_INFO variable if it's already running.

# Add the following to your shell init to set up gpg-agent automatically for every shell
if [ -f ~/.gnupg/.gpg-agent-info ] && [ -n "$(pgrep gpg-agent)" ]; then
    source ~/.gnupg/.gpg-agent-info
    export GPG_AGENT_INFO
else

dearing

# /etc/systemd/system/docker.service.d/docker-nftables.conf
# disable iptables in docker, allowing nftables to do work
[Service]
ExecStart=
ExecStart=/usr/bin/docker daemon -H fd:// --iptables=false

mgreensmith

Solarized
#FDF6E3,#EEE8D5,#93A1A1,#FDF6E3,#EEE8D5,#657B83,#2AA198,#DC322F

Solarized Dark
#073642,#002B36,#B58900,#FDF6E3,#CB4B16,#FDF6E3,#2AA198,#DC322F