%global packname eph %global packver 0.4.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.4.0 Release: 2%{?dist} Summary: Argentina's Permanent Household Survey Data and ManipulationUtilities License: MIT + file LICENSE URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 2.10 Requires: R-core >= 2.10 BuildArch: noarch BuildRequires: R-CRAN-dplyr BuildRequires: R-CRAN-expss BuildRequires: R-CRAN-assertthat BuildRequires: R-CRAN-purrr BuildRequires: R-CRAN-tibble BuildRequires: R-CRAN-stringr BuildRequires: R-CRAN-magrittr BuildRequires: R-CRAN-glue BuildRequires: R-CRAN-readxl BuildRequires: R-CRAN-janitor BuildRequires: R-CRAN-questionr BuildRequires: R-CRAN-tidyr BuildRequires: R-CRAN-readr BuildRequires: R-utils BuildRequires: R-CRAN-curl BuildRequires: R-CRAN-attempt BuildRequires: R-CRAN-zoo BuildRequires: R-CRAN-tidyverse BuildRequires: R-CRAN-leaflet BuildRequires: R-CRAN-htmltools BuildRequires: R-CRAN-rlang BuildRequires: R-CRAN-rvest BuildRequires: R-CRAN-xml2 BuildRequires: R-stats Requires: R-CRAN-dplyr Requires: R-CRAN-expss Requires: R-CRAN-assertthat Requires: R-CRAN-purrr Requires: R-CRAN-tibble Requires: R-CRAN-stringr Requires: R-CRAN-magrittr Requires: R-CRAN-glue Requires: R-CRAN-readxl Requires: R-CRAN-janitor Requires: R-CRAN-questionr Requires: R-CRAN-tidyr Requires: R-CRAN-readr Requires: R-utils Requires: R-CRAN-curl Requires: R-CRAN-attempt Requires: R-CRAN-zoo Requires: R-CRAN-tidyverse Requires: R-CRAN-leaflet Requires: R-CRAN-htmltools Requires: R-CRAN-rlang Requires: R-CRAN-rvest Requires: R-CRAN-xml2 Requires: R-stats %description Tools to download and manipulate the Permanent Household Survey from Argentina (EPH is the Spanish acronym for Permanent Household Survey). e.g: get_microdata() for downloading the datasets, get_poverty_lines() for downloading the official poverty baskets, calculate_poverty() for the calculation of stating if a household is in poverty or not, following the official methodology. organize_panels() is used to concatenate observations from different periods, and organize_labels() adds the official labels to the data. The implemented methods are based on INDEC (2016) . As this package works with the argentinian Permanent Household Survey and its main audience is from this country, the documentation was written in Spanish. %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 find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \; %files %{rlibdir}/%{packname}