izahn

;;; ob-stata.el --- org-babel functions for stata code evaluation

;; Copyright (C) 2014 Ista Zahn
;; Author: Ista Zahn, based on ob-julia.el by G. Jay Kerns, and ob-R.el
;; by Eric Schulte and Dan Davison


;; This file is not part of GNU Emacs.

;; This program is free software; you can redistribute it and/or modify

izahn

library(haven)
library(dplyr)
library(foreign)

## Read Stata dataset with foreign
xf <- read.dta("http://izahn.crabdance.com/owncloud/index.php/s/PlXcLrNFyKoIDk3/download")
## Read Stata dataset with haven
xh <- read_dta("http://izahn.crabdance.com/owncloud/index.php/s/PlXcLrNFyKoIDk3/download")

str(xf) ## structure of foreign result is comprehensable

izahn

" Settings

set noautofocus " The opposite of autofocus; this setting stops
                " sites from focusing on an input box when they load

set numerichints

set typelinkhints

let barposition = "bottom"

izahn

;;; Completion hints for files and buffers buffers
(require 'helm-config)
(helm-mode 1)

;;rebind tab to do persistent action
(define-key helm-map (kbd "<tab>") 'helm-execute-persistent-action)
;; make TAB works in terminal
(define-key helm-map (kbd "C-i") 'helm-execute-persistent-action)
;list actions using C-z
(define-key helm-map (kbd "C-z")  'helm-select-action) 

izahn

## This R script contains a simple screen scraping example,
## downloading the text of the articles in the CNN website
## rss feed.

library(RCurl)
library(XML)

options(stringsAsFactors = FALSE)

## get rss document

izahn

print(getwd())
setwd("/home/ubuntu")
install.packages("aws.s3", repos = "https://cran.rstudio.com", lib = .libPaths()[1])
library("aws.s3")
print(bucketlist())
write.csv(bucketlist(), "check.csv")

izahn

# Maintainer: Steve Holmes <steve.holmes88@gmail.com>
# Contributers: Chris Brannon <cmbrannon79@gmail.com>
pkgname=emacspeak
pkgver=44.0
pkgrel=1
pkgdesc="Emacs extension that provides spoken output"
arch=('i686' 'x86_64')
url="https://github.com/tvraman/emacspeak"
license=('GPL' 'LGPL' 'APACHE')
depends=('emacs' 'tcl' 'tclx' 'espeak')

izahn

library(fst)

n <- 1000000
d1 <- as.data.frame(c(replicate(50, sample(letters[1:10], n, replace = TRUE), simplify = FALSE), 
                      replicate(50, runif(n), simplify = FALSE)))
tmpf <- tempfile()

rw_time <- function(compression, file, write.fun, read.fun) {
  data.frame(compression = compression,
             writeTime = system.time(write.fun(d1, file, compress = compression))[[3]],

izahn

abind=1.4-5
assertthat=0.2.0
backports=1.1.2
base=3.5.1
base64enc=0.1-3
BH=1.66.0-1
bindr=0.1.1
bindrcpp=0.2.2
bit=1.1-14
bit64=0.9-7

izahn

Requirements for a sane emacs config for social scientists

Requirements

Emacs is many things to many people, being perhaps the most configurable text editor ever created. However, there are some common tools that social scientists often make use of that are not accessible in emacs by default. It is therefore desirable to create a base configuration that enables the features that social scientists are likely to find useful. The table below lists some of these requirements, and describes how they can be made available in emacs.