Jemma Stachelek jsta

Run Cisco Webex on 64-bit Ubuntu 16.04

With Audio and Screen Sharing Enabled

Enable support for 32-bit executables

Add the i386 architecture to the list of dpkg architectures :

sudo dpkg --add-architecture i386

Install Google Fonts

Download desired fonts

https://fonts.google.com/?selection.family=Open+Sans

Install Google Fonts on Ubuntu

cd /usr/share/fonts
sudo mkdir googlefonts
cd googlefonts
sudo unzip -d . ~/Downloads/Open_Sans.zip

Fix 2016-05-06

svn checkout svn://scm.r-forge.r-project.org/svnroot/rgdal/pkg mv pkg rgdal R CMD build rgdal --no-build-vignettes --no-manual sudo R CMD INSTALL rgdal_1.1-9.tar.gz

R

	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
	% Matlab code to produce PCA animations shown here:
	% http://stats.stackexchange.com/questions/2691
	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

	% Static image

	clear all
	rng(42)

	library(rstanarm)
	library(tidyverse)
	library(viridis)

	gtemp <- read.delim("http://www.metoffice.gov.uk/hadobs/hadcrut4/data/current/time_series/HadCRUT.4.5.0.0.annual_ns_avg.txt",
	sep="", header = FALSE) %>%
	select(1,2) %>%
	set_names(c("Year", "Temperature"))

	st_mod2 <- stan_gamm4(Temperature ~ s(Year), data = gtemp)

	# WMF only:
	if (file.exists("/etc/wikimedia-cluster")) {
	message('Detected that this script is being run on a WMF machine ("', Sys.info()["nodename"], '"). Setting proxies...')
	Sys.setenv("http_proxy" = "http://webproxy.eqiad.wmnet:8080")
	Sys.setenv("https_proxy" = "http://webproxy.eqiad.wmnet:8080")
	}

	# General use:
	message("Checking for a personal library...")
	if (!dir.exists(Sys.getenv("R_LIBS_USER"))) {

	# Makes sure the required packs are loaed, if not, intalles them.
	pkgs <-c ('sp','ggplot2','rgdal','broom','maptools','tigris', 'blscrapeR')
	for(p in pkgs) if(p %in% rownames(installed.packages()) == FALSE) {install.packages(p, repos='http://cran.us.r-project.org')}
	for(p in pkgs) suppressPackageStartupMessages(library(p, quietly=TRUE, character.only=TRUE))

	# Before we get into the projections, let's download some unemployment data to map.
	county_dat <- get_bls_county()

	# We also need a shapefile with the appropriate FIPS codes.
	state <- counties(cb = TRUE, year = 2015)

	variables:
	CODECOV_TOKEN: "CODECOV_TOKEN_STRING"
	_R_CHECK_CRAN_INCOMING_: "false"
	_R_CHECK_FORCE_SUGGESTS_: "true"
	APT_PKGS: "libcurl4-openssl-dev libssh2-1-dev libssl-dev libxml2-dev zlib1g-dev git"

	before_script:
	- apt-get update
	- apt-get install -y --no-install-recommends ${APT_PKGS}
	- apt-get install -y --no-install-recommends qpdf pandoc pandoc-citeproc

	#!/bin/bash
	set -ex

	GDALBUILD="$(realpath `dirname $BASH_SOURCE`)/build"
	GDALINST="/usr/local/gdal"
	CPUS=4

	GDALOPTS=" --with-webp=yes \
	--with-geos=/usr/local/bin/geos-config \
	--with-static-proj4=/usr/local \

	library(rstan)
	library(MASS)

	# Simulate some data
	mu <- c(10, 5, -5)
	Sig <- matrix(c(1, 0.7, 0.8,
	0.7, 2, 0.2,
	0.8, 0.2, 1.5),
	3, 3)
	N <- 100