johnburnmurdoch

# The packages we'll be using
packages <- c("rvest","dplyr","tidyr","pipeR","ggplot2","stringr","data.table")

# From those packages, which ones are not yet installed?
newPackages <- packages[!(packages %in% as.character(installed.packages()[,"Package"]))]

# If any weren't already installed, install them now
if(length(newPackages)) install.packages(newPackages)

# Now make sure all necessary packages are loaded

jedifran

## Credit: Taken from:  http://stackoverflow.com/questions/1358003/tricks-to-manage-the-available-memory-in-an-r-session
# improved list of objects
.ls.objects <- function (pos = 1, pattern, order.by,
                        decreasing=FALSE, head=FALSE, n=5) {
    napply <- function(names, fn) sapply(names, function(x)
                                         fn(get(x, pos = pos)))
    names <- ls(pos = pos, pattern = pattern)
    obj.class <- napply(names, function(x) as.character(class(x))[1])
    obj.mode <- napply(names, mode)
    obj.type <- ifelse(is.na(obj.class), obj.mode, obj.class)