# This file created by conda-build 3.18.11
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Tue Jan 21 13:56:28 2020
# ------------------------------------------------

package:
    name: r-idpmisc
    version: 1.1.20
source:
    sha256: bcb9cd7b8097e5089d1936286ef310ac2030ea7791350df706382ba470afc67f
    url:
        - https://cran.r-project.org/src/contrib/Archive/IDPmisc/IDPmisc_1.1.20.tar.gz
        - https://cran.r-project.org/src/contrib/IDPmisc_1.1.20.tar.gz
build:
    merge_build_host: true
    number: '0'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r36hda5aaf8_0
requirements:
    build:
        - m2-bash 4.3.042 5
        - m2-coreutils 8.25 102
        - m2-filesystem 2016.04 4
        - m2-gcc-libs 5.3.0 4
        - m2-gmp 6.1.0 3
        - m2-libbz2 1.0.6 3
        - m2-libiconv 1.14 3
        - m2-libintl 0.19.7 4
        - m2-make 4.1 5
        - m2-msys2-runtime 2.5.0.17080.65c939c 3
        - m2-sed 4.2.2 3
        - m2-zip 3.0 2
        - m2w64-binutils 2.25.1 5
        - m2w64-bzip2 1.0.6 6
        - m2w64-crt-git 5.0.0.4636.2595836 2
        - m2w64-gcc 5.3.0 6
        - m2w64-gcc-ada 5.3.0 6
        - m2w64-gcc-fortran 5.3.0 6
        - m2w64-gcc-libgfortran 5.3.0 6
        - m2w64-gcc-libs 5.3.0 7
        - m2w64-gcc-libs-core 5.3.0 7
        - m2w64-gcc-objc 5.3.0 6
        - m2w64-gmp 6.1.0 2
        - m2w64-headers-git 5.0.0.4636.c0ad18a 2
        - m2w64-isl 0.16.1 2
        - m2w64-libiconv 1.14 6
        - m2w64-libmangle-git 5.0.0.4509.2e5a9a2 2
        - m2w64-libwinpthread-git 5.0.0.4634.697f757 2
        - m2w64-make 4.1.2351.a80a8b8 2
        - m2w64-mpc 1.0.3 3
        - m2w64-mpfr 3.1.4 4
        - m2w64-pkg-config 0.29.1 2
        - m2w64-toolchain 5.3.0 7
        - m2w64-toolchain_win-64 2.4.0 0
        - m2w64-tools-git 5.0.0.4592.90b8472 2
        - m2w64-windows-default-manifest 6.4 3
        - m2w64-winpthreads-git 5.0.0.4634.697f757 2
        - m2w64-zlib 1.2.8 10
        - msys2-conda-epoch 20160418 1
    host:
        - _r-mutex 1.0.1 anacondar_1
        - intel-openmp 2019.4 245
        - libblas 3.8.0 14_mkl
        - liblapack 3.8.0 14_mkl
        - m2w64-bwidget 1.9.10 2
        - m2w64-bzip2 1.0.6 6
        - m2w64-expat 2.1.1 2
        - m2w64-fftw 3.3.4 6
        - m2w64-flac 1.3.1 3
        - m2w64-gcc-libgfortran 5.3.0 6
        - m2w64-gcc-libs 5.3.0 7
        - m2w64-gcc-libs-core 5.3.0 7
        - m2w64-gettext 0.19.7 2
        - m2w64-gmp 6.1.0 2
        - m2w64-gsl 2.1 2
        - m2w64-libiconv 1.14 6
        - m2w64-libjpeg-turbo 1.4.2 3
        - m2w64-libogg 1.3.2 3
        - m2w64-libpng 1.6.21 2
        - m2w64-libsndfile 1.0.26 2
        - m2w64-libtiff 4.0.6 2
        - m2w64-libvorbis 1.3.5 2
        - m2w64-libwinpthread-git 5.0.0.4634.697f757 2
        - m2w64-libxml2 2.9.3 4
        - m2w64-mpfr 3.1.4 4
        - m2w64-pcre 8.38 2
        - m2w64-speex 1.2rc2 3
        - m2w64-speexdsp 1.2rc3 3
        - m2w64-tcl 8.6.5 3
        - m2w64-tk 8.6.5 3
        - m2w64-tktable 2.10 5
        - m2w64-wineditline 2.101 5
        - m2w64-xz 5.2.2 2
        - m2w64-zlib 1.2.8 10
        - mkl 2019.4 245
        - msys2-conda-epoch 20160418 1
        - r-base 3.6.2 hf0ea6f9_0
        - r-lattice 0.20_38 r36hda5aaf8_1002
    run:
        - m2w64-gcc-libs
        - r-base >=3.6,<3.7.0a0
        - r-lattice
test:
    commands:
        - '"%R%" -e "library(''IDPmisc'')"'
about:
    home: https://CRAN.R-project.org/package=IDPmisc
    license: GPL (>= 3)
    license_family: GPL3
    license_file:
        - D:\bld\r-idpmisc_1579615177345\_h_env/lib/R/share/licenses/GPL-3
    summary: 'The IDPmisc package contains different high-level graphics functions
        for displaying

        large datasets, displaying circular data in a very flexible way, finding local
        maxima,

        brewing color ramps, drawing nice arrows, zooming 2D-plots, creating figures
        with

        differently colored margin and plot region.  In addition, the package contains
        auxiliary

        functions for data manipulation like omitting observations with irregular
        values

        or selecting data by logical vectors, which include NAs. Other functions are
        especially

        useful in spectroscopy and analyses of environmental data: robust baseline
        fitting,

        finding peaks in spectra.

        '
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - conda-forge/r
