composr

Create composite variables from survey data

https://github.com/morrphd/composr

Science Score: 44.0%

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Repository

Create composite variables from survey data

Basic Info

Host: GitHub
Owner: morrphd
License: mit
Language: R
Default Branch: master
Size: 13.7 KB

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Created almost 2 years ago · Last pushed almost 2 years ago

Metadata Files

Readme License Citation

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# composr




The goal of composr is to facilitate the analysis of survey data by automating the creation of composite variables. Using item naming conventions, composr groups items by construct and calculates basic descriptive statistics.

Label column names with the scale name and item number separated by an underscore (e.g., "Att_3"). Also, before using composr, ensure the data is cleaned and all recoding is completed.

## Installation

You can install the development version of composr from [GitHub](https://github.com/) with:

``` r
# install.packages("pak")
pak::pak("morrphd/composr")
```

## Example

To illustrate the functionality of composr, here is an example. First, create a test dataset with 3-6 variables, with 3-10 items each.

```{r}
testData <- data.frame("Case" = matrix(1:10, ncol = 1, nrow = 10))
x = 1

while(x <= round(runif(1, 3, 6))){ #Number of Variables
  y = 1
  while(y <= round(runif(1, 3, 10))){ #Number of Items
    temp <- round(runif(10, 1, 7)) #Number of Responses
    testData <- cbind(testData, as.data.frame(temp))
    colnames(testData)[colnames(testData) == "temp"] <-
      paste0("Var", x, "_", y)
    y = y + 1
    }
  x = x + 1
}

str(testData)
```

Next, load composr and run the *compose()* function to sort the items into groups.

```{r}
library(composr)
test <- compose(testData)
str(test)
```

The items are now sorted into their scales. To create the composite variable in the main dataset, run the *compute()* function for each variable.

```{r}
testData <- compute(test$Var1, testData)
tail(names(testData))
```

Notice that, in addition to adding a column for the composite variable, running this command also produced basic statistical information.

For questions, contact Ethan Morrow at emorrow3@illinois.edu.

Owner

Name: Ethan Morrow
Login: morrphd
Kind: user

Repositories: 1
Profile: https://github.com/morrphd

Ph.D. Candidate Department of Communication University of Illinois Urbana-Champaign emorrow3@illinois.edu

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: composr
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Ethan
    family-names: Morrow
    email: emorrow3@illinois.edu
    affiliation: University of Illinois Urbana-Champaign
    orcid: 'https://orcid.org/0000-0002-4308-7607'
repository-code: 'https://github.com/morrphd/composr'
license: MIT
version: 0.0.0.9000
date-released: '2024-08-29'

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