JohnMount

# The following two commands remove any previously installed H2O packages for R.
if ("package:h2o" %in% search()) { detach("package:h2o", unload=TRUE) }
if ("h2o" %in% rownames(installed.packages())) { remove.packages("h2o") }

# Next, we download packages that H2O depends on.
pkgs <- c("methods","statmod","stats","graphics","RCurl","jsonlite","tools","utils")
for (pkg in pkgs) {
  if (! (pkg %in% rownames(installed.packages()))) { install.packages(pkg) }
}

JohnMount

#!/bin/bash

# on local
pempath="$1"
ec2target="$2"

ssh -T -i "${pempath}" -o UserKnownHostsFile=/dev/null -o StrictHostKeyChecking=no ubuntu@${ec2target} << 'EOBLOCK'
# on remote machine
sudo apt-get -y update
sudo apt-get -y upgrade

JohnMount

# Re-expose basic R data manipulation tools in more pipe friendly wrappers.
library("wrapr")

#' Evaluate an expression with a data frame acting as the inner environment.
#'
#' References can be forced to the environment with a .e$ prefix
#' and forced to the data frame with a .d$ prefix (failure to
#' lookup returns null). Only works on in-memory data.frames.