daattali

daattali

#' Suppress all output from an expression. Works cross-platform.
#' @param expr Expression to run.
#' @param all If \code{TRUE} then suppress warnings and messages as well;
#' otherwise, only suppress printed output (such as from \code{print} or
#' \code{cat}).
#' @keywords internal
#' @export
quiet <- function(expr, all = TRUE) {
  if (Sys.info()['sysname'] == "Windows") {
    file <- "NUL"

daattali

library(shiny)

# Define the fields we want to save from the form
fields <- c("name", "used_shiny", "r_num_years")

# Save a response
# ---- This is one of the two functions we will change for every storage type ----
saveData <- function(data) {
  data <- as.data.frame(t(data))
  if (exists("responses")) {

daattali

# Suppose a function has an argument "x". If a "child function" has multiple
# argument beginning with "x" and I want to pass the param "x" to its parent,
# I get error: `argument n matches multiple formal arguments`
# The reason this happens is clear, but at 3am my brain is firing blanks
# trying to find a solution.  Help!

library(magrittr)

foo <- function(x, ...) UseMethod("foo")
foo.parent <- function(x, n = 5, ...) n

daattali

# rasmusab/beepr package is great for telling you when your R code finishes running.
# But if the code throws an error, the beep will never come, and you won't know that
# it finished running until you visually check.
# Solution: change the error handler to a failure beep.

# Example
foo <- function(success = TRUE) {
  if (!success) {
    stop("Error!")
  }

daattali

# There are two humans: `human` and `angry_human`. They only differ in the fact
# that angry humans have a frown on their face.

# Example code:
# dean <- human("Dean")
# ex <- angry_human("Ex")
# plot(dean)
# plot(ex)

# When plotting `dean`, RStudio shows me all the available parameters.

daattali

# Find the R built-in colour that's closest in RGB space to a given colour
# This can be useful if you have a colour in mind you want to use in your R
# code, but would rather use a pretty built-in name rather than a HEX value.
#
# @param target The target RGB colour, given as a length-3 numeric vector
# @param n The number of top hits to return
# @param superset A vector with all possible colour names to choose from
#
# Note that the closest colour in RGB space is not guaranteed to be the
# closest colour visually, but it works in many cases.

daattali

#+ spinme-chunk, eval = FALSE, echo = FALSE
.scriptName <- basename(sys.frame(1)$ofile)
.spinOutput <- knitr::spin(.scriptName, knit = TRUE)
stop(sprintf("Ignore this error - your output is ready at:\n%s",
             normalizePath(.spinOutput)),
     call. = FALSE)
#+ spinme-done, eval = TRUE, echo = TRUE

daattali

```{r include = FALSE}
opts_chunk$set(tidy = FALSE)
```

Terrorism in Israel
===========================
**Dean Attali**  
**Oct 4, 2013**  
**STAT 545A**  

daattali

```{r include = FALSE}
opts_chunk$set(tidy = FALSE)
```

Dean Attali
=================================
**STAT 545A hw 4**  
**Sept 28 2013**

In this assignment, I will take data aggregation code written by other students, and create visuals that will complement their tabular data.  The two students' work I will be using are [**Rebecca Johnston**](http://rpubs.com/rljohn/stat545a-2013-hw03_johnston-reb) and [**Daniel Dinsdale**](http://rpubs.com/danieldinsdale/stat545a-2013-hw03_dinsdale-dan).