%global __brp_check_rpaths %{nil} %global packname codebook %global packver 0.9.2 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.9.2 Release: 2%{?dist}%{?buildtag} Summary: Automatic Codebooks from Metadata Encoded in Dataset Attributes License: MIT + file LICENSE URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.2.0 Requires: R-core >= 3.2.0 BuildArch: noarch BuildRequires: R-CRAN-haven >= 2.3.0 BuildRequires: R-CRAN-skimr >= 2.1.0 BuildRequires: R-CRAN-ggplot2 >= 2.0.0 BuildRequires: R-CRAN-dplyr >= 1.0.0 BuildRequires: R-CRAN-forcats >= 0.4.0 BuildRequires: R-CRAN-vctrs >= 0.3.0 BuildRequires: R-stats BuildRequires: R-methods BuildRequires: R-graphics BuildRequires: R-utils BuildRequires: R-CRAN-rmdpartials BuildRequires: R-CRAN-stringr BuildRequires: R-CRAN-rlang BuildRequires: R-CRAN-tidyr BuildRequires: R-CRAN-tidyselect BuildRequires: R-CRAN-jsonlite BuildRequires: R-CRAN-purrr BuildRequires: R-CRAN-tibble BuildRequires: R-CRAN-glue BuildRequires: R-CRAN-likert BuildRequires: R-CRAN-knitr BuildRequires: R-CRAN-htmltools BuildRequires: R-CRAN-labeling BuildRequires: R-CRAN-labelled Requires: R-CRAN-haven >= 2.3.0 Requires: R-CRAN-skimr >= 2.1.0 Requires: R-CRAN-ggplot2 >= 2.0.0 Requires: R-CRAN-dplyr >= 1.0.0 Requires: R-CRAN-forcats >= 0.4.0 Requires: R-CRAN-vctrs >= 0.3.0 Requires: R-stats Requires: R-methods Requires: R-graphics Requires: R-utils Requires: R-CRAN-rmdpartials Requires: R-CRAN-stringr Requires: R-CRAN-rlang Requires: R-CRAN-tidyr Requires: R-CRAN-tidyselect Requires: R-CRAN-jsonlite Requires: R-CRAN-purrr Requires: R-CRAN-tibble Requires: R-CRAN-glue Requires: R-CRAN-likert Requires: R-CRAN-knitr Requires: R-CRAN-htmltools Requires: R-CRAN-labeling Requires: R-CRAN-labelled %description Easily automate the following tasks to describe data frames: Summarise the distributions, and labelled missings of variables graphically and using descriptive statistics. For surveys, compute and summarise reliabilities (internal consistencies, retest, multilevel) for psychological scales. Combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so that search engines can find your data and index the metadata. The metadata are also available at your fingertips via RStudio Addins. %prep %setup -q -c -n %{packname} find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \; [ -d %{packname}/src ] && find %{packname}/src -type f -exec \ sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true %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}