Package: prepdat
Title: Preparing Experimental Data for Statistical Analysis
Version: 1.0.5
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
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-12-14 11:38:47 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: 2015-12-14 14:15:41