File R-pixiedust.spec of Package R-pixiedust

# Automatically generated by CRAN2OBS
# 
# Spec file for package pixiedust 
# 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) 2025 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  pixiedust 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.9.4 
Release:        0 
Summary:        Tables so Beautifully Fine-Tuned You Will Believe It's Magic 
Group:          Development/Libraries/Other 
License:        GPL (>= 2) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         pixiedust_0.9.4.tar.gz 
Requires:       R-base 
Requires:	R-broom
Requires:	R-checkmate
Requires:	R-htmltools
Requires:	R-knitr
Requires:	R-labelVector
Requires:	R-magrittr
Requires:	R-reshape2
Requires:	R-scales
Requires:	R-backports
Requires:	R-cli
Requires:	R-dplyr
Requires:	R-generics
Requires:	R-glue
Requires:	R-lifecycle
Requires:	R-purrr
Requires:	R-rlang
Requires:	R-stringr
Requires:	R-tibble
Requires:	R-tidyr
Requires:	R-base64enc
Requires:	R-digest
Requires:	R-fastmap
Requires:	R-evaluate
Requires:	R-highr
Requires:	R-xfun
Requires:	R-yaml
Requires:	R-plyr
Requires:	R-Rcpp
Requires:	R-farver
Requires:	R-labeling
Requires:	R-R6
Requires:	R-RColorBrewer
Requires:	R-viridisLite
Requires:	R-pillar
Requires:	R-tidyselect
Requires:	R-vctrs
Requires:	R-stringi
Requires:	R-pkgconfig
Requires:	R-cpp11
Requires:	R-utf8
Requires:	R-withr
 
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
# # Three others commonly needed 
# BuildRequires:  tex(ae.sty) 
# BuildRequires:  tex(fancyvrb.sty) 
# BuildRequires:  tex(inconsolata.sty) 
# BuildRequires:  tex(natbib.sty) 
# %else 
# BuildRequires:  texlive 
# %endif 
# BuildRequires:  texinfo 
BuildRequires:  fdupes 
BuildRequires:  R-base 
BuildRequires: 	R-broom
BuildRequires: 	R-checkmate
BuildRequires: 	R-htmltools
BuildRequires: 	R-knitr
BuildRequires: 	R-labelVector
BuildRequires: 	R-magrittr
BuildRequires: 	R-reshape2
BuildRequires: 	R-scales
BuildRequires: 	R-backports
BuildRequires: 	R-cli
BuildRequires: 	R-dplyr
BuildRequires: 	R-generics
BuildRequires: 	R-glue
BuildRequires: 	R-lifecycle
BuildRequires: 	R-purrr
BuildRequires: 	R-rlang
BuildRequires: 	R-stringr
BuildRequires: 	R-tibble
BuildRequires: 	R-tidyr
BuildRequires: 	R-base64enc
BuildRequires: 	R-digest
BuildRequires: 	R-fastmap
BuildRequires: 	R-evaluate
BuildRequires: 	R-highr
BuildRequires: 	R-xfun
BuildRequires: 	R-yaml
BuildRequires: 	R-plyr
BuildRequires: 	R-Rcpp-devel
BuildRequires: 	R-farver
BuildRequires: 	R-labeling
BuildRequires: 	R-R6
BuildRequires: 	R-RColorBrewer
BuildRequires: 	R-viridisLite
BuildRequires: 	R-pillar
BuildRequires: 	R-tidyselect
BuildRequires: 	R-vctrs
BuildRequires: 	R-stringi
BuildRequires: 	R-pkgconfig
BuildRequires: 	R-cpp11-devel
BuildRequires: 	R-utf8
BuildRequires: 	R-withr
 
Suggests:	R-dplyr
Suggests:	R-rmarkdown
Suggests:	R-testthat
%description 
The introduction of the 'broom' package has made converting model 
objects into data frames as simple as a single function. While the 
'broom' package focuses on providing tidy data frames that can be used 
in advanced analysis, it deliberately stops short of providing 
functionality for reporting models in publication-ready tables. 
'pixiedust' provides this functionality with a programming interface 
intended to be similar to 'ggplot2's system of layers with fine tuned 
control over each cell of the table. Options for output include 
printing to the console and to the common markdown formats (markdown, 
HTML, and LaTeX). With a little 'pixiedust' (and happy thoughts) tables 
can really fly. 
 
%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
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/save_sprinkles_rda.R
%{rlibdir}/%{packname}/sprinkle_documentation.csv
%{rlibdir}/%{packname}/sprinkle_reference.csv
%{rlibdir}/%{packname}/sprinkles.csv
 
%changelog