File R-rsurface.spec of Package R-rsurface
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# Spec file for package rsurface
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%global packname rsurface
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 1.1.0
Release: 0
Summary: Design of Rotatable Central Composite Experiments and Response Surface Analysis
Group: Development/Libraries/Other
License: MIT + file LICENSE
URL: http://cran.r-project.org/web/packages/%{packname}
Source: rsurface_1.1.0.tar.gz
Requires: R-base
Requires: R-plotly
Requires: R-rsm
Requires: R-ggplot2
Requires: R-scales
Requires: R-httr
Requires: R-jsonlite
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Requires: R-tibble
Requires: R-lazyeval
Requires: R-rlang
Requires: R-crosstalk
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Requires: R-data.table
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Requires: R-fastmap
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Requires: R-rmarkdown
Requires: R-yaml
Requires: R-curl
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Requires: R-later
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Requires: R-farver
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# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse}
# # Three others commonly needed
# BuildRequires: tex(ae.sty)
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BuildRequires: R-magrittr
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BuildRequires: R-base64enc
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%description
Produces tables with the level of replication (number of replicates)
and the experimental uncoded values of the quantitative factors to be
used for rotatable Central Composite Design (CCD) experimentation and a
2-D contour plot of the corresponding variance of the predicted
response according to Mead et al. (2012) <doi:10.1017/CBO9781139020879>
design_ccd(), and analyzes CCD data with response surface methodology
ccd_analysis(). A rotatable CCD provides values of the variance of the
predicted response that are concentrically distributed around the
average treatment combination used in the experimentation, which with
uniform precision (implied by the use of several replicates at the
average treatment combination) improves greatly the search and finding
of an optimum response. These properties of a rotatable CCD represent
undeniable advantages over the classical factorial design, as discussed
by Panneton et al. (1999) <doi:10.13031/2013.13267> and Mead et al.
(2012) <doi:10.1017/CBO9781139020879.018> among others.
%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
%license %{rlibdir}/%{packname}/LICENSE
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%changelog
