%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname QurvE %global packver 1.1.1 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.1.1 Release: 1%{?dist}%{?buildtag} Summary: Robust and User-Friendly Analysis of Growth and Fluorescence Curves License: GPL (>= 3) 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-dplyr BuildRequires: R-methods BuildRequires: R-CRAN-stringr BuildRequires: R-CRAN-tidyr BuildRequires: R-CRAN-doParallel BuildRequires: R-CRAN-drc BuildRequires: R-CRAN-DT BuildRequires: R-CRAN-foreach BuildRequires: R-CRAN-ggh4x BuildRequires: R-CRAN-ggnewscale BuildRequires: R-CRAN-ggplot2 BuildRequires: R-CRAN-ggpubr BuildRequires: R-CRAN-kableExtra BuildRequires: R-CRAN-knitr BuildRequires: R-CRAN-labeling BuildRequires: R-CRAN-magrittr BuildRequires: R-CRAN-minpack.lm BuildRequires: R-CRAN-plyr BuildRequires: R-CRAN-purrr BuildRequires: R-CRAN-RColorBrewer BuildRequires: R-CRAN-readxl BuildRequires: R-CRAN-rmarkdown BuildRequires: R-CRAN-scales BuildRequires: R-CRAN-shiny BuildRequires: R-stats BuildRequires: R-utils Requires: R-CRAN-dplyr Requires: R-methods Requires: R-CRAN-stringr Requires: R-CRAN-tidyr Requires: R-CRAN-doParallel Requires: R-CRAN-drc Requires: R-CRAN-DT Requires: R-CRAN-foreach Requires: R-CRAN-ggh4x Requires: R-CRAN-ggnewscale Requires: R-CRAN-ggplot2 Requires: R-CRAN-ggpubr Requires: R-CRAN-kableExtra Requires: R-CRAN-knitr Requires: R-CRAN-labeling Requires: R-CRAN-magrittr Requires: R-CRAN-minpack.lm Requires: R-CRAN-plyr Requires: R-CRAN-purrr Requires: R-CRAN-RColorBrewer Requires: R-CRAN-readxl Requires: R-CRAN-rmarkdown Requires: R-CRAN-scales Requires: R-CRAN-shiny Requires: R-stats Requires: R-utils %description High-throughput analysis of growth curves and fluorescence data using three methods: linear regression, growth model fitting, and smooth spline fit. Analysis of dose-response relationships via smoothing splines or dose-response models. Complete data analysis workflows can be executed in a single step via user-friendly wrapper functions. The results of these workflows are summarized in detailed reports as well as intuitively navigable 'R' data containers. A 'shiny' application provides access to all features without requiring any programming knowledge. The package is described in further detail in Wirth et al. (2023) . %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}