File R-muma.spec of Package R-muma

# Automatically generated by CRAN2OBS
# 
# Spec file for package muma 
# 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) 2022 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 
# case the license is the MIT License). An "Open Source License" is a 
# license that conforms to the Open Source Definition (Version 1.9) 
# published by the Open Source Initiative. 
#  
# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
# 
 
%global packname  muma 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.4 
Release:        0 
Summary:        Metabolomics Univariate and Multivariate Analysis 
Group:          Development/Libraries/Other 
License:        GPL-2 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         muma_1.4.tar.gz 
Requires:       R-base 
Requires:	R-car
Requires:	R-pdist
Requires:	R-pls
Requires:	R-gplots
Requires:	R-mvtnorm
Requires:	R-robustbase
Requires:	R-gtools
Requires:	R-bitops
Requires:	R-caTools
Requires:	R-pcaPP
Requires:	R-rrcov
Requires:	R-carData
Requires:	R-abind
Requires:	R-pbkrtest
Requires:	R-quantreg
Requires:	R-maptools
Requires:	R-lme4
Requires:	R-DEoptimR
Requires:	R-minqa
Requires:	R-nloptr
Requires:	R-Rcpp
Requires:	R-RcppEigen
Requires:	R-sp
Requires:	R-broom
Requires:	R-dplyr
Requires:	R-magrittr
Requires:	R-numDeriv
Requires:	R-knitr
Requires:	R-SparseM
Requires:	R-MatrixModels
Requires:	R-backports
Requires:	R-ellipsis
Requires:	R-generics
Requires:	R-glue
Requires:	R-purrr
Requires:	R-rlang
Requires:	R-stringr
Requires:	R-tibble
Requires:	R-tidyr
Requires:	R-ggplot2
Requires:	R-lifecycle
Requires:	R-R6
Requires:	R-tidyselect
Requires:	R-vctrs
Requires:	R-pillar
Requires:	R-evaluate
Requires:	R-highr
Requires:	R-yaml
Requires:	R-xfun
Requires:	R-testthat
Requires:	R-digest
Requires:	R-gtable
Requires:	R-isoband
Requires:	R-scales
Requires:	R-withr
Requires:	R-cli
Requires:	R-crayon
Requires:	R-fansi
Requires:	R-utf8
Requires:	R-stringi
Requires:	R-brio
Requires:	R-callr
Requires:	R-desc
Requires:	R-jsonlite
Requires:	R-pkgload
Requires:	R-praise
Requires:	R-processx
Requires:	R-ps
Requires:	R-waldo
Requires:	R-pkgconfig
Requires:	R-cpp11
Requires:	R-rprojroot
Requires:	R-rstudioapi
Requires:	R-farver
Requires:	R-labeling
Requires:	R-munsell
Requires:	R-RColorBrewer
Requires:	R-viridisLite
Requires:	R-diffobj
Requires:	R-rematch2
Requires:	R-colorspace
 
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
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BuildRequires: 	R-colorspace
 
%description 
Preprocessing of high-throughput data (normalization and scalings); 
Principal Component Analysis with help tool for choosing 
best-separating principal components and automatic testing for 
outliers; automatic univariate analysis for parametric and 
non-parametric data, with generation of specific reports (volcano and 
box plots); partial least square discriminant analysis (PLS-DA); 
orthogonal partial least square discriminant analysis (OPLS-DA); 
Statistical Total Correlation Spectroscopy (STOCSY); Ratio Analysis 
Nuclear Magnetic Resonance (NMR) Spectroscopy (RANSY). 
 
%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
%{rlibdir}/%{packname}/data
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog