%global __brp_check_rpaths %{nil}
%global packname  ggQQunif
%global packver   0.1.5
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.5
Release:          3%{?dist}%{?buildtag}
Summary:          Compare Big Datasets to the Uniform Distribution

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-CRAN-scales 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-dplyr 
Requires:         R-CRAN-scales 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-dplyr 

%description
A quantile-quantile plot can be used to compare a sample of p-values to
the uniform distribution.  But when the dataset is big (i.e. > 1e4
p-values), plotting the quantile-quantile plot can be slow.  geom_QQ uses
all the data to calculate the quantiles, but thins it out in a way that
focuses on points near zero before plotting to speed up plotting and
decrease file size, when vector graphics are stored.

%prep
%setup -q -c -n %{packname}


%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

%files
%{rlibdir}/%{packname}