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
