File R-vvdoctor.spec of Package R-vvdoctor

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File R-vvdoctor.spec of Package R-vvdoctor

# Automatically generated by CRAN2OBS
# 
# Spec file for package vvdoctor 
# 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) 2024 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  vvdoctor 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.0.1 
Release:        0 
Summary:        Statistical Test App with R 'shiny' 
Group:          Development/Libraries/Other 
License:        MIT + file LICENSE 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         vvdoctor_0.0.1.tar.gz 
Requires:       R-base 
Requires:	R-datamods
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# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
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%description 
Provides a user-friendly R 'shiny' app for performing various 
statistical tests on datasets. It allows users to upload data in 
numerous formats and perform statistical analyses. The app dynamically 
adapts its options based on the selected columns and supports both 
single and multiple column comparisons. The app's user interface is 
designed to streamline the process of selecting datasets, columns, and 
test options, making it easy for users to explore and interpret their 
data. The underlying functions for statistical tests are well-organized 
and can be used independently within other R scripts. 
 
%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
%license %{rlibdir}/%{packname}/LICENSE
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/
 
%changelog

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