File R-metaplot.spec of Package R-metaplot

# Automatically generated by CRAN2OBS
# 
# Spec file for package metaplot 
# 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  metaplot 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.8.4 
Release:        0 
Summary:        Data-Driven Plot Design 
Group:          Development/Libraries/Other 
License:        GPL-3 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         metaplot_0.8.4.tar.gz 
Requires:       R-base 
Requires:	R-encode
Requires:	R-magrittr
Requires:	R-dplyr
Requires:	R-tidyr
Requires:	R-rlang
Requires:	R-gridExtra
Requires:	R-gtable
Requires:	R-ggplot2
Requires:	R-scales
Requires:	R-cli
Requires:	R-generics
Requires:	R-glue
Requires:	R-lifecycle
Requires:	R-pillar
Requires:	R-R6
Requires:	R-tibble
Requires:	R-tidyselect
Requires:	R-vctrs
Requires:	R-isoband
Requires:	R-withr
Requires:	R-farver
Requires:	R-labeling
Requires:	R-RColorBrewer
Requires:	R-viridisLite
Requires:	R-purrr
Requires:	R-stringr
Requires:	R-cpp11
Requires:	R-utf8
Requires:	R-stringi
Requires:	R-pkgconfig
 
# %%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-encode
BuildRequires: 	R-magrittr
BuildRequires: 	R-dplyr
BuildRequires: 	R-tidyr
BuildRequires: 	R-rlang
BuildRequires: 	R-gridExtra
BuildRequires: 	R-gtable
BuildRequires: 	R-ggplot2
BuildRequires: 	R-scales
BuildRequires: 	R-cli
BuildRequires: 	R-generics
BuildRequires: 	R-glue
BuildRequires: 	R-lifecycle
BuildRequires: 	R-pillar
BuildRequires: 	R-R6
BuildRequires: 	R-tibble
BuildRequires: 	R-tidyselect
BuildRequires: 	R-vctrs
BuildRequires: 	R-isoband
BuildRequires: 	R-withr
BuildRequires: 	R-farver
BuildRequires: 	R-labeling
BuildRequires: 	R-RColorBrewer
BuildRequires: 	R-viridisLite
BuildRequires: 	R-purrr
BuildRequires: 	R-stringr
BuildRequires: 	R-cpp11-devel
BuildRequires: 	R-utf8
BuildRequires: 	R-stringi
BuildRequires: 	R-pkgconfig
 
Suggests:	R-csv
%description 
Designs plots in terms of core structure.  See 'example(metaplot)'. 
Primary arguments are (unquoted) column names; order and type (numeric 
or not) dictate the resulting plot.  Specify any y variables, x 
variable, any groups variable, and any conditioning variables to 
metaplot() to generate density plots, boxplots, mosaic plots, 
scatterplots, scatterplot matrices, or conditioned plots. Use 
multiplot() to arrange plots in grids. Wherever present, scalar column 
attributes 'label' and 'guide' are honored, producing fully annotated 
plots with minimal effort. Attribute 'guide' is typically units, but 
may be encoded() to provide interpretations of categorical values (see 
'?encode').  Utility unpack() transforms scalar column attributes to 
row values and pack() does the reverse, supporting tool-neutral storage 
of metadata along with primary data. The package supports customizable 
aesthetics such as such as reference lines, unity lines, smooths, log 
transformation, and linear fits. The user may choose between trellis 
and ggplot output. Compact syntax and integrated metadata promote 
workflow scalability. 
 
%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
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/extdata
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog