File R-prepdat.spec of Package R-prepdat

# Automatically generated by CRAN2OBS
# 
# Spec file for package prepdat 
# This file is auto-generated using information in the package source, 
# esp. Description and Summary. Improvements in that area should be 
# discussed with upstream. 
# 
# Copyright (c) 2026 SUSE LINUX GmbH, Nuernberg, Germany. 
# 
# All modifications and additions to the file contributed by third parties 
# remain the property of their copyright owners, unless otherwise agreed 
# upon. The license for this file, and modifications and additions to the 
# file, is the same license as for the pristine package itself (unless the 
# license for the pristine package is not an Open Source License, in which 
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# published by the Open Source Initiative. 
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# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
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%global packname  prepdat 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.0.8 
Release:        0 
Summary:        Preparing Experimental Data for Statistical Analysis 
Group:          Development/Libraries/Other 
License:        GPL-3 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         prepdat_1.0.8.tar.gz 
Requires:       R-base 
Requires:	R-dplyr
Requires:	R-reshape2
Requires:	R-psych
Requires:	R-cli
Requires:	R-generics
Requires:	R-glue
Requires:	R-lifecycle
Requires:	R-magrittr
Requires:	R-pillar
Requires:	R-R6
Requires:	R-rlang
Requires:	R-tibble
Requires:	R-tidyselect
Requires:	R-vctrs
Requires:	R-mnormt
Requires:	R-GPArotation
Requires:	R-plyr
Requires:	R-Rcpp
Requires:	R-stringr
Requires:	R-utf8
Requires:	R-stringi
Requires:	R-pkgconfig
Requires:	R-withr
 
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
# # Three others commonly needed 
# BuildRequires:  tex(ae.sty) 
# BuildRequires:  tex(fancyvrb.sty) 
# BuildRequires:  tex(inconsolata.sty) 
# BuildRequires:  tex(natbib.sty) 
# %else 
# BuildRequires:  texlive 
# %endif 
# BuildRequires:  texinfo 
BuildRequires:  fdupes 
BuildRequires:  R-base 
BuildRequires: 	R-dplyr
BuildRequires: 	R-reshape2
BuildRequires: 	R-psych
BuildRequires: 	R-cli
BuildRequires: 	R-generics
BuildRequires: 	R-glue
BuildRequires: 	R-lifecycle
BuildRequires: 	R-magrittr
BuildRequires: 	R-pillar
BuildRequires: 	R-R6
BuildRequires: 	R-rlang
BuildRequires: 	R-tibble
BuildRequires: 	R-tidyselect
BuildRequires: 	R-vctrs
BuildRequires: 	R-mnormt
BuildRequires: 	R-GPArotation
BuildRequires: 	R-plyr
BuildRequires: 	R-Rcpp-devel
BuildRequires: 	R-stringr
BuildRequires: 	R-utf8
BuildRequires: 	R-stringi
BuildRequires: 	R-pkgconfig
BuildRequires: 	R-withr
 
Suggests:	R-knitr
Suggests:	R-testthat
%description 
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. 
 
%prep 
%setup -q -c -n %{packname} 
# the next line is needed, because we build without --clean in between two packages 
rm -rf ~/.R  
 
 
%build 
 
%install 
mkdir -p %{buildroot}%{rlibdir} 
%{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname} 
test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so) 
rm -f %{buildroot}%{rlibdir}/R.css 
%fdupes -s %{buildroot}%{rlibdir} 
 
#%%check 
#%%{_bindir}/R CMD check %%{packname} 
 
%files 
%dir %{rlibdir}/%{packname} 
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog