jbryer

#' Set function parameters for debugging.
#' 
#' Sets the defauls for the parameters in the given function witin an environment.
#' 
#' @param fun the function whose parameters should be set.
#' @param envir the environment to set those parameters.
#' @param missing.value value to assign to parameters that do not have a defautl value.
#' @param overwrite should parameters already defined be overwritten.
setFunctionParams <- function(fun, 
  						  envir=.GlobalEnv,

jbryer

require(shiny)
require(shinyIncubator)
require(ggplot2)

theme_update(panel.background=element_blank(), 
			 panel.grid.major=element_blank(), 
			 panel.border=element_blank())

tickets <- as.data.frame(rbind(
	c(    '$1',    1,     15),

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#' Returns the year (fiscal or calendar) and quarter in which the date appears.
#' 
#' This function will cut the given date vector into quarters (i.e. three month
#' increments) and return an ordered factor with levels defined to be the quarters
#' between the minimum and maximum dates in the given vector. The levels, by
#' default, will be formated as \code{FY2013-Q1}, however the \code{FY} and \code{Q}
#' can be changed using the \code{fy.prefix} and \code{quarter.prefix} parameters,
#' respectively.
#' 
#' @param x vector of type \code{\link{Date}}.

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#' Convert a list of vectors to a data frame.
#' 
#' This function will convert a list of vectors to a data frame. This function
#' will handle three different types of lists of vectors. First, if all the elements
#' in the list are named vectors, the resulting data frame will have have a number
#' of columns equal to the number of unique names across all vectors. In cases
#' where some vectors do not have names in other vectors, those values will be
#' filled with \code{NA}.
#' 
#' The second case is when all the vectors are of the same length. In this case,

jbryer

#' Parse a codebook file with variable and level information.
#' 
#' Parses a codebook file where lines starting at column zero (far left) represet
#' variable information (e.g. name, description, type) and indented lines 
#' (i.e. lines beginning with white space, either tabs or spaces, etc.) represent factor
#' levels and labels. 
#' 
#' Note that white space at the beginning and end of each line is stripped before
#' processing that line.
#' 

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require(xtable) 

#' Prints a LaTeX table with numeric columns aligned on their decimal points.
#' 
#' This function wraps the \code{\link{xtable}} and \code{\link{print.xtable}}
#' functions in the \code{xtable} package so that numeric columns are aligned
#' on their decimal place.
#' 
#' See \url{http://jason.bryer.org/posts/2013-01-04/xtable_with_aligned_decimals.html}
#' for more information.

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#' Creates a dialog box using tcl/tk to get input from the user.
#' 
#' This function will create a tcl/tk dialog box to get user input. It has been
#' written to be extensible so the R programmer can easily create a dialog with
#' any number of varaibles with custom labels and data conversion of the user
#' entered data. The function will return a list where the element names are
#' \code{vars} and the value is the user input. By default, all entry will be
#' converted using the \code{as.character} function. However, this can easily be
#' altered using the \code{fun} parameter. For example, if integers are required,
#' use \code{fun=c(as.integer, ...)}. It is also possible to write custom

jbryer

require(ggplot2)
require(grid)

theme_update(panel.background=theme_blank(), 
			 panel.grid.major=theme_blank(), 
			 panel.border=theme_blank())

#Borrowed (i.e. stollen) from http://research.stowers-institute.org/efg/R/Color/Chart/ColorChart.R
getColorHexAndDecimal <- function(color) {
	if(is.na(color)) {

jbryer

# .Rprofile -- commands in this file will be executed at the beginning of
# each R session. On Windows, the R_PROFILE environment variable must have value
# with the full path to this file. On Linux (or other Unix like systems) this file
# must be in the user's home directory.

# Set the default repository to the main CRAN site
options(repos=c(CRAN='http://cran.r-project.org'))

# Set the oDrive varaible and library path
if(Sys.info()['sysname'] == 'Windows') {

jbryer

#List of most used R packages that we wish to install.
libraries = c('cacheSweave', 'Deducer', 'devtools', 'doBy', 'foreign', 'gdata', 
			  'ggplot2', 'Hmisc', 'JGR', 'lubridate', 'maps', 'mapdata', 'mapproj', 
			  'maptools', 'proto', 'psych', 'R2wd', 'RCurl', 'reshape', 
			  'RODBC', 'roxygen2', 'seqinr', 'sm', 'sp', 'sqldf', 'survey', 
			  'WriteXLS', 'XML', 'xtable')

#We will install packages from the main CRAN site
repos = 'http://cran.r-project.org'
#Site provides some prebuilt binaries for Windows