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author | Leo Famulari <leo@famulari.name> | 2018-10-02 16:29:25 -0400 |
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committer | Leo Famulari <leo@famulari.name> | 2018-10-02 16:30:25 -0400 |
commit | 63781c5748b108db5ceab02ce2d201e901ff10a4 (patch) | |
tree | 97411455ff69f08005ef0a4e338d08f7b8db7d34 /gnu/packages | |
parent | 9c1c2108a5523015fd83e599b263dfb1ad348324 (diff) | |
download | guix-63781c5748b108db5ceab02ce2d201e901ff10a4.tar guix-63781c5748b108db5ceab02ce2d201e901ff10a4.tar.gz |
gnu: Add r-acclma.
* gnu/packages/cran.scm (r-acclma): New variable.
Diffstat (limited to 'gnu/packages')
-rw-r--r-- | gnu/packages/cran.scm | 28 |
1 files changed, 28 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 52b3d52bac..a1bf750da6 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -6228,3 +6228,31 @@ measured by the probability of acceptance for a given level of quality in the lot.") (license license:gpl3+))) +(define-public r-acclma + (package + (name "r-acclma") + (version "1.0") + (source + (origin + (method url-fetch) + (uri (cran-uri "ACCLMA" version)) + (sha256 + (base32 "1na27sp18fq12gp6vxgqw1ffsz2yi1d8xvrxbrzx5g1kqxrayy0v")))) + (properties `((upstream-name . "ACCLMA"))) + (build-system r-build-system) + (home-page "https://cran.r-project.org/web/packages/ACCLMA/") + (synopsis "ACC & LMA graph plotting") + (description + "This package contains a function that imports data from a @acronym{Comma-Separated +Values, @acronym{CSV}} file, or uses manually entered data from the format (x, +y, weight) and plots the appropriate @acronym{Absolute Concentration Curve, +@acronym{ACC}} vs @acronym{Line of Independence, @acronym{LOI}} graph and +@acronym{@acronym{LOI} Minus @acronym{ACC}, @acronym{LMA}} graph. The main +function is plotLMA (source file, header) that takes a data set and plots the +appropriate @acronym{LMA} and @acronym{ACC} graphs. If no source file (a +string) was passed, a manual data entry window is opened. The header parameter +indicates by TRUE/FALSE (false by default) if the source @acronym{CSV} file has +a header row or not. The dataset should contain only one independent variable +(x) and one dependent variable (y) and can contain a weight for each +observation.") + (license license:gpl2))) |