File R-corrarray.spec of Package R-corrarray

# Automatically generated by CRAN2OBS
# 
# Spec file for package corrarray 
# 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) 2025 SUSE LINUX GmbH, Nuernberg, Germany. 
# 
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%global packname  corrarray 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.2.0 
Release:        0 
Summary:        Correlation Arrays and 2-Sample Correlation Matrices 
Group:          Development/Libraries/Other 
License:        GPL-3 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         corrarray_1.2.0.tar.gz 
Requires:       R-base 
Requires:	R-Hmisc
Requires:	R-ggplot2
Requires:	R-gtable
Requires:	R-gridExtra
Requires:	R-data.table
Requires:	R-htmlTable
Requires:	R-viridis
Requires:	R-htmltools
Requires:	R-base64enc
Requires:	R-colorspace
Requires:	R-rmarkdown
Requires:	R-knitr
Requires:	R-Formula
Requires:	R-cli
Requires:	R-glue
Requires:	R-isoband
Requires:	R-lifecycle
Requires:	R-rlang
Requires:	R-scales
Requires:	R-tibble
Requires:	R-vctrs
Requires:	R-withr
Requires:	R-stringr
Requires:	R-magrittr
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Requires:	R-rstudioapi
Requires:	R-digest
Requires:	R-fastmap
Requires:	R-evaluate
Requires:	R-highr
Requires:	R-xfun
Requires:	R-yaml
Requires:	R-bslib
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Requires:	R-cachem
Requires:	R-memoise
Requires:	R-mime
Requires:	R-sass
Requires:	R-backports
Requires:	R-farver
Requires:	R-labeling
Requires:	R-R6
Requires:	R-RColorBrewer
Requires:	R-stringi
Requires:	R-pillar
Requires:	R-pkgconfig
Requires:	R-utf8
Requires:	R-fs
Requires:	R-rappdirs
 
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%description 
The goal of 'corrarray' is to create a multi-sample correlation array 
by combining the correlation matrices of a data set stratified by a 
grouping variable. For two specified levels of the variable, 
'corrarray' displays one level's correlation matrix in the lower 
triangular matrix and the other level's correlation matrix in the upper 
triangular matrix. Such an output can enable visualization of 
correlations from two samples in a single correlation matrix or 
corrgram. 
 
%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
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog