MPSurvey

The goal of MPSurvey is to reduce the burden of analyzing mobile phone surveys that utilize the Surveda mobile phone survey tool. The functions in this package cover all aspects of analysis including applying data labels, identifying skip logic patterns, calculating item nonresponse, and analyzing weighted survey data.

Installation

You can install the development version of MPSurvey from GitHub with:

# install.packages("pak")
pak::pak("csiesel/MPSurvey")

Example

This is a basic example which shows you how to solve a common problem in R:

library(MPSurvey)
#> Loading required package: dplyr
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)
#>      speed           dist       
#>  Min.   : 4.0   Min.   :  2.00  
#>  1st Qu.:12.0   1st Qu.: 26.00  
#>  Median :15.0   Median : 36.00  
#>  Mean   :15.4   Mean   : 42.98  
#>  3rd Qu.:19.0   3rd Qu.: 56.00  
#>  Max.   :25.0   Max.   :120.00

You’ll still need to render README.Rmd regularly, to keep README.md up-to-date. devtools::build_readme() is handy for this.

In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.