Prepares data for statistical analysis (e.g., analysis of variance ;ANOVA) by enabling the user to easily and quickly merge (using the file_merge() function) raw data files into one merged table and then aggregate the merged table (using the prep() function) into a finalized table while keeping track and summarizing every step of the preparation. The finalized table contains several possibilities for dependent measures of the dependent variable. Most suitable when measuring variables in an interval or ratio scale (e.g., reaction-times) and/or discrete values such as accuracy. Main functions included are file_merge() and prep(). The file_merge() function vertically merges individual data files (in a long format) in which each line is a single observation to one single dataset. The prep() function aggregates the single dataset according to any combination of grouping variables (i.e., between-subjects and within-subjects independent variables, respectively), and returns a data frame with a number of dependent measures for further analysis for each cell according to the combination of provided grouping variables. Dependent measures for each cell include among others means before and after rejecting all values according to a flexible standard deviation criteria, number of rejected values according to the flexible standard deviation criteria, proportions of rejected values according to the flexible standard deviation criteria, number of values before rejection, means after rejecting values according to procedures described in Van Selst & Jolicoeur (1994; suitable when measuring reaction-times), standard deviations, medians, means according to any percentile (e.g., 0.05, 0.25, 0.75, 0.95) and harmonic means. The data frame prep() returns can also be exported as a txt file to be used for statistical analysis in other statistical programs.

Documentation

Manual: prepdat.pdf
Vignette: None available.

Maintainer: Ayala S. Allon <ayalaallon at gmail.com>

Author(s): Ayala S. Allon*, Roy Luria*, James Grange*, Nachshon Meiran*

Install package and any missing dependencies by running this line in your R console:

install.packages("prepdat")

Depends R (>= 3.0.3)
Imports dplyr(>=0.4.2), reshape2(>=1.4.1), psych(>=1.5.4)
Suggests knitr, testthat
Enhances
Linking to
Reverse
depends
Reverse
imports
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package prepdat
Materials
URL http://github.com/ayalaallon/prepdat
Task Views
Version 1.0.8
Published 2016-09-23
License GPL-3
BugReports http://github.com/ayalaallon/prepdat/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks prepdat check results
Package source prepdat_1.0.8.tar.gz