Package: prepdat
Title: Preparing Experimental Data for Statistical Analysis
Version: 1.0.4
Authors@R: c(
person("Ayala S.", "Allon", email = "ayalaallon@gmail.com", role = c("aut", "cre")),
person("Roy", "Luria", role = "aut"),
person("Jim", "Grange", role = "ctb"),
person("Nachshon", "Meiran", role = "ctb"))
Description: Prepares data collected in an experimental design for statistical
analysis (e.g., analysis of variance ;ANOVA) by taking the  individual data
files and preparing one table that contains several possibilities for
dependent variables. Most suitable when measuring reaction-times and/or
accuracy, or any other variable in an interval or ratio scale. Functions
included: file_merge(), read_data() and prep(). The file_merge() function
vertically merges individual data files (in a long format) in which each line
is a single trial within the experiment to one single dataset. The
read_data() function reads a file in a txt or csv format that contains a
single dataset in a long format table and creates a data frame from it. The
prep() function aggregates the single dataset according to any combination of
between and within 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
experimental cell according to the combination of provided grouping
variables. Dependent measures for each experimental cell include among
others means before and after rejecting all values according to a flexible
standard deviation criterion/s, number of rejected values according to the
flexible standard deviation criterion/s, proportions of rejected values
according to the flexible standard deviation criterion/s, 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.
Depends: R (>= 3.0.3)
License: GPL-3
LazyData: true
URL: http://github.com/ayalaallon/prepdat
BugReports: http://github.com/ayalaallon/prepdat/issues
Imports: dplyr (>= 0.4.2), reshape2 (>= 1.4.1), psych(>= 1.5.4)
Suggests: knitr, testthat
NeedsCompilation: no
Packaged: 2015-11-22 08:27:13 UTC; user
Author: Ayala S. Allon [aut, cre],
Roy Luria [aut],
Jim Grange [ctb],
Nachshon Meiran [ctb]
Maintainer: Ayala S. Allon <ayalaallon@gmail.com>
Repository: CRAN
Date/Publication: 2015-11-22 11:48:32