SAPATools-package: R Tools for use with the SAPA Project

In frenchja/SAPATools: A package for use with Synthetic Aperture Personality Assessment.

Description

SAPA Tools is an R package developed by Jason A. French and David M. Condon for using the SAPA dataset. SAPA is an open-source personality collaboratory in which participants receive a random subset of items, leading to a matrix in which the data are massively missing at random (MMCAR).

Details

Package:	SAPATools
Type:	Package
Version:	2013.12.09
Date:	2013-12-09
License:	GPL (>= 2)

SAPA Tools is an R package developed by Jason A. French and David M. Condon for using the SAPA dataset. As such, relevant functions are included for:

Obtaining the dataset from MySQL Scrubbing the dataset of duplicate entries Applying factor names to the various SAPA demographic codes Scoring open-source cognitive ability items from icar-project.org Integrating US census data with SAPA variables

We think the SAPA Project is an incredible resource for researchers for learning about personality using traits, abilities, and interests. As such, the primary goal of SAPA Tools is to make it easy to play with our data.

For the stand-alone Rscript, feedback.R, please look at SAPATools/inst/ in your R library. This function plots a participant's 12 aspect scores based on command-line arguments, and therefore isn't kept in SAPATools/R/.

Author(s)

Jason A. French [e-mail]

Maintainer: Jason A. French [e-mail]

References

French, J. A. & Condon, D. M. (2013). SAPA Tools: Tools to analyze the SAPA Project. R package version 2013.12.09. https://sapa-project.org/r/.

Wilt, J., Condon, D., & Revelle, W. (2012). Telemetrics and online data collection. Handbook of Developmental Research Methods, 163-179.

https://sapa-project.org/r/

Examples

# Connect to the SAPA database
# con.active <- sapa.db()

# Pull a single table for analysis
# mytable <- get.sapa(con='con.active')

# Get and scrub all the current SAPA data
# mydata <- clean.sapa()

frenchja/SAPATools documentation built on May 16, 2019, 2:47 p.m.