%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  grafify
%global packver   4.0.1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          4.0.1
Release:          1%{?dist}%{?buildtag}
Summary:          Easy Graphs for Data Visualisation and Linear Models for ANOVA

License:          GPL (>= 2)
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 4.0
Requires:         R-core >= 4.0
BuildArch:        noarch
BuildRequires:    R-CRAN-ggplot2 >= 3.4.0
BuildRequires:    R-CRAN-car 
BuildRequires:    R-CRAN-emmeans 
BuildRequires:    R-CRAN-Hmisc 
BuildRequires:    R-CRAN-lme4 
BuildRequires:    R-CRAN-lmerTest 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-mgcv 
BuildRequires:    R-CRAN-patchwork 
BuildRequires:    R-CRAN-purrr 
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-tidyr 
Requires:         R-CRAN-ggplot2 >= 3.4.0
Requires:         R-CRAN-car 
Requires:         R-CRAN-emmeans 
Requires:         R-CRAN-Hmisc 
Requires:         R-CRAN-lme4 
Requires:         R-CRAN-lmerTest 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-mgcv 
Requires:         R-CRAN-patchwork 
Requires:         R-CRAN-purrr 
Requires:         R-stats 
Requires:         R-CRAN-tidyr 

%description
Easily explore data by plotting graphs with a few lines of code. Use these
ggplot() wrappers to quickly draw graphs of scatter/dots with
box-whiskers, violins or SD error bars, data distributions, before-after
graphs, factorial ANOVA and more. Customise graphs in many ways, for
example, by choosing from colour blind-friendly palettes (12 discreet, 3
continuous and 2 divergent palettes). Use the simple code for ANOVA as
ordinary (lm()) or mixed-effects linear models (lmer()), including
randomised-block or repeated-measures designs, and fit non-linear outcomes
as a generalised additive model (gam) using mgcv(). Obtain estimated
marginal means and perform post-hoc comparisons on fitted models (via
emmeans()). Also includes small datasets for practising code and teaching
basics before users move on to more complex designs. See vignettes for
details on usage <https://grafify-vignettes.netlify.app/>. Citation:
<doi:10.5281/zenodo.5136508>.

%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}