%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  brolgar
%global packver   1.0.1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0.1
Release:          1%{?dist}%{?buildtag}
Summary:          Browse Over Longitudinal Data Graphically and Analytically in R

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


BuildRequires:    R-devel >= 3.5.0
Requires:         R-core >= 3.5.0
BuildArch:        noarch
BuildRequires:    R-CRAN-ggplot2 >= 3.2.0
BuildRequires:    R-CRAN-tibble >= 2.1.3
BuildRequires:    R-CRAN-magrittr >= 1.5
BuildRequires:    R-CRAN-glue >= 1.3.1
BuildRequires:    R-CRAN-dplyr >= 0.8.3
BuildRequires:    R-CRAN-tidyr >= 0.8.3
BuildRequires:    R-CRAN-tsibble >= 0.8.2
BuildRequires:    R-CRAN-rlang >= 0.4.0
BuildRequires:    R-CRAN-purrr >= 0.3.2
BuildRequires:    R-CRAN-fabletools 
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-vctrs 
Requires:         R-CRAN-ggplot2 >= 3.2.0
Requires:         R-CRAN-tibble >= 2.1.3
Requires:         R-CRAN-magrittr >= 1.5
Requires:         R-CRAN-glue >= 1.3.1
Requires:         R-CRAN-dplyr >= 0.8.3
Requires:         R-CRAN-tidyr >= 0.8.3
Requires:         R-CRAN-tsibble >= 0.8.2
Requires:         R-CRAN-rlang >= 0.4.0
Requires:         R-CRAN-purrr >= 0.3.2
Requires:         R-CRAN-fabletools 
Requires:         R-stats 
Requires:         R-CRAN-vctrs 

%description
Provides a framework of tools to summarise, visualise, and explore
longitudinal data. It builds upon the tidy time series data frames used in
the 'tsibble' package, and is designed to integrate within the
'tidyverse', and 'tidyverts' (for time series) ecosystems. The methods
implemented include calculating features for understanding longitudinal
data, including calculating summary statistics such as quantiles, medians,
and numeric ranges, sampling individual series, identifying individual
series representative of a group, and extending the facet system in
'ggplot2' to facilitate exploration of samples of data. These methods are
fully described in the paper "brolgar: An R package to Browse Over
Longitudinal Data Graphically and Analytically in R", Nicholas Tierney,
Dianne Cook, Tania Prvan (2020) <doi:10.32614/RJ-2022-023>.

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

# fix end of executable files
find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;
# prevent binary stripping
[ -d %{packname}/src ] && find %{packname}/src -type f -exec \
  sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true
[ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \
  sed -i 's@-g0@@g' {} \; || true
# don't allow local prefix in executable scripts
find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \;

%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
# remove buildroot from installed files
find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \;

%files
%{rlibdir}/%{packname}