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micompr
View on CRAN: Click
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Download and install micompr package within the R console
Install from CRAN:
install.packages("micompr")
Install from Github:
library("remotes")
install_github("cran/micompr")
Install by package version:
library("remotes")
install_version("micompr", "1.1.4")
Attach the package and use:
library("micompr")
Maintained by
Nuno Fachada
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-08
Latest Update: 2023-08-19
Description:
A procedure for comparing multivariate samples associated with
different groups. It uses principal component analysis to convert
multivariate observations into a set of linearly uncorrelated statistical
measures, which are then compared using a number of statistical methods. The
procedure is independent of the distributional properties of samples and
automatically selects features that best explain their differences, avoiding
manual selection of specific points or summary statistics. It is appropriate
for comparing samples of time series, images, spectrometric measures or
similar multivariate observations. This package is described in Fachada et
al. (2016) .
How to cite:
Nuno Fachada (2016). micompr: Multivariate Independent Comparison of Observations. R package version 1.1.4, https://cran.r-project.org/web/packages/micompr. Accessed 21 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for micompr
Functions, R codes and Examples using
the micompr R package
Some associated functions: assumptions.cmpoutput . assumptions.micomp . assumptions . assumptions_manova . assumptions_paruv . centerscale . cmpoutput . concat_outputs . grpoutputs . micomp . micompr-package . plot.assumptions_cmpoutput . plot.assumptions_manova . plot.assumptions_micomp . plot.assumptions_paruv . plot.cmpoutput . plot.grpoutputs . plot.micomp . plotcols . pphpc_diff . pphpc_noshuff . pphpc_ok . pphpc_testvlo . print.assumptions_cmpoutput . print.assumptions_manova . print.assumptions_micomp . print.assumptions_paruv . print.cmpoutput . print.grpoutputs . print.micomp . pst . pvalcol . pvalf.default . pvalf . summary.assumptions_cmpoutput . summary.assumptions_micomp . summary.cmpoutput . summary.grpoutputs . summary.micomp . tikzscat . toLatex.cmpoutput . toLatex.micomp . tscat_apply .
Some associated R codes: assumptions.R . cmpoutput.R . grpoutputs.R . latex_tables.R . micomp.R . micompr-package.R . pphpc_diff.R . pphpc_noshuff.R . pphpc_ok.R . pphpc_testvlo.R . util.R . Full micompr package functions and examples
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