README.md

In ofurkusi/limestats: Functions for automating analysis of survey data from LimeSurvey

limestats

limestats is an R package with functions for automating analysis of survey data from LimeSurvey.

Installing

limestats is not available on [CRAN] (https://github.com/ofurkusi/limestats). In order to use it you must install from this GitHub repository. The most simple method is by using devtools. First install and load devtools:

install.packages("devtools")
library(devtools)

Once devtools has been loaded, limestats can be installed and loaded with:

install_github("ofurkusi/limestats")
library(limestats)

Using limestats

Begin by downloading your LimeSurvey data in R format and load it, adjusting the filename as needed:

source("survey_00000_R_syntax_file.R")

This should create a dataframe called data which contains all the responses and question metadata from the survey.

Next individually define your survey questions, e.g.

myNominalQuestion <- Question$new(data=data, question="q_0001", type="nominal")
myCategoricalQuestion <- Question$new(data=data, question="q_0002", type="categorical")
myFreeTextQuestion <- Question$new(data=data, question="q_0003", type="freetext")
myQuestionSetQuestion <- Question$new(data=data, question="q_0004", type="questionset")

Finally generate output, e.g. for including in Sweave or Knitr reports, using

myNominalQuestion$describe(latex=TRUE, 
    caption=myNominalQuestion$getQuestionText(),
    label='myNominalQuestion')

License

This package is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License, version 3, as published by the Free Software Foundation.

This program is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See the GNU General Public License for more details.

A copy of the GNU General Public License, version 3, is available at http://www.r-project.org/Licenses/GPL-3

ofurkusi/limestats documentation built on May 24, 2019, 11:53 a.m.