%global __brp_check_rpaths %{nil}
%global packname  corrarray
%global packver   1.2.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.2.0
Release:          1%{?dist}%{?buildtag}
Summary:          Correlation Arrays and 2-Sample Correlation Matrices

License:          GPL-3
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel
Requires:         R-core
BuildArch:        noarch
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-Hmisc 
Requires:         R-stats 
Requires:         R-CRAN-Hmisc 

%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}

find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;
[ -d %{packname}/src ] && find %{packname}/src -type f -exec \
  sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true

%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
find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \;

%files
%{rlibdir}/%{packname}