https://github.com/petulla/readroper

Read single and multi-card ASCII polling datasets in R
https://github.com/petulla/readroper

ascii data-analysis polling-data r

Last synced: 10 days ago
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Read single and multi-card ASCII polling datasets in R

• Host: GitHub
• URL: https://github.com/petulla/readroper
• Owner: petulla
• License: other
• Created: 2018-02-27T02:47:50.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2020-04-14T23:55:21.000Z (over 4 years ago)
• Last Synced: 2024-10-26T18:44:08.090Z (about 2 months ago)
• Topics: ascii, data-analysis, polling-data, r
• Language: R
• Homepage:
• Size: 33.2 KB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md
  • License: LICENSE

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r setup, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# readroper

[![Build Status](https://travis-ci.org/petulla/readroper.svg?branch=master)](https://travis-ci.org/petulla/readroper)

Use this package to read ASCII fixed-width data files from the Roper Center and other polling providers into R.

## Installation

You can install the released version of readroper from [CRAN](https://CRAN.R-project.org) with:

``` r

  install.packages("readroper")

```

The development version from [GitHub](https://github.com/) is installed with:

``` r

  # install.packages("devtools")

  devtools::install_github("petulla/readroper")

```

## Usage

To read three questions from a multicard ASCII polling file and weights and output a csv file, you'll want something like:

```r

  weights df <- read_rpr(col_positions=c(1),

               widths=c(3),

               col_names=c('Weights'),

               filepath='data.txt')

   card2 <- read_rpr(col_positions=c(1,2,4), 

               widths=c(1,2,1), 

               col_names=c('Q1','Q2','Q3'), 

               filepath='data.txt', 

               card_read=1, 

               cards=2)

   GALLUP <- cbind(weights,card2)

   GALLUP$Weights = as.numeric(GALLUP$Weights)/100

   write.csv(GALLUP,file='cnngallup.csv', row.names=FALSE)

```

For instructions on use see the [vignette](https://github.com/petulla/readroper/tree/master/vignettes).