%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname Ostats %global packver 0.2.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.2.0 Release: 1%{?dist}%{?buildtag} Summary: O-Stats, or Pairwise Community-Level Niche Overlap Statistics License: MIT + file LICENSE URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.5.0 Requires: R-core >= 3.5.0 BuildArch: noarch BuildRequires: R-CRAN-sfsmisc BuildRequires: R-CRAN-matrixStats BuildRequires: R-CRAN-circular BuildRequires: R-CRAN-hypervolume BuildRequires: R-CRAN-ggplot2 BuildRequires: R-CRAN-gridExtra BuildRequires: R-CRAN-viridis BuildRequires: R-grid BuildRequires: R-CRAN-MASS Requires: R-CRAN-sfsmisc Requires: R-CRAN-matrixStats Requires: R-CRAN-circular Requires: R-CRAN-hypervolume Requires: R-CRAN-ggplot2 Requires: R-CRAN-gridExtra Requires: R-CRAN-viridis Requires: R-grid Requires: R-CRAN-MASS %description O-statistics, or overlap statistics, measure the degree of community-level trait overlap. They are estimated by fitting nonparametric kernel density functions to each species’ trait distribution and calculating their areas of overlap. For instance, the median pairwise overlap for a community is calculated by first determining the overlap of each species pair in trait space, and then taking the median overlap of each species pair in a community. This median overlap value is called the O-statistic (O for overlap). The Ostats() function calculates separate univariate overlap statistics for each trait, while the Ostats_multivariate() function calculates a single multivariate overlap statistic for all traits. O-statistics can be evaluated against null models to obtain standardized effect sizes. 'Ostats' is part of the collaborative Macrosystems Biodiversity Project "Local- to continental-scale drivers of biodiversity across the National Ecological Observatory Network (NEON)." For more information on this project, see the Macrosystems Biodiversity Website (). Calculation of O-statistics is described in Read et al. (2018) , and a teaching module for introducing the underlying biological concepts at an undergraduate level is described in Grady et al. (2018) . %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}