Other packages > Find by keyword >

MorphoTools2  

Multivariate Morphometric Analysis
View on CRAN: Click here


Download and install MorphoTools2 package within the R console
Install from CRAN:
install.packages("MorphoTools2")

Install from Github:
library("remotes")
install_github("cran/MorphoTools2")

Install by package version:
library("remotes")
install_version("MorphoTools2", "1.0.2.1")



Attach the package and use:
library("MorphoTools2")
Maintained by
Marek Šlenker
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-22
Latest Update: 2024-10-02
Description:
Tools for multivariate analyses of morphological data, wrapped in one package, to make the workflow convenient and fast. Statistical and graphical tools provide a comprehensive framework for checking and manipulating input data, statistical analyses, and visualization of results. Several methods are provided for the analysis of raw data, to make the dataset ready for downstream analyses. Integrated statistical methods include hierarchical classification, principal component analysis, principal coordinates analysis, non-metric multidimensional scaling, and multiple discriminant analyses: canonical, stepwise, and classificatory (linear, quadratic, and the non-parametric k nearest neighbours). The philosophy of the package is described in
How to cite:
Marek Šlenker (2021). MorphoTools2: Multivariate Morphometric Analysis. R package version 1.0.2.1, https://cran.r-project.org/web/packages/MorphoTools2. Accessed 05 Aug. 2026.
Previous versions and publish date:
0.9.0 (2021-11-22 10:40), 0.9.1.1 (2021-12-07 08:50), 0.9.1.2 (2022-02-03 13:40), 0.9.1 (2021-12-02 14:20), 1.0.0.0 (2022-05-26 09:00), 1.0.1.0 (2022-10-31 09:15), 1.0.1.1 (2023-02-20 00:00), 1.0.2.0 (2024-09-30 10:40), (2026-07-09 08:11)
Other packages that cited MorphoTools2 R package
View MorphoTools2 citation profile
Other R packages that MorphoTools2 depends, imports, suggests or enhances
Complete documentation for MorphoTools2
Functions, R codes and Examples using the MorphoTools2 R package
Some associated functions: boxMTest . boxplotCharacter . cda.calc . cdadata . centaurea . characters . classif.lda . classif.matrix . classifSample.lda . classifdata . clust . cormat . descrTaxon . exportRes . head.morphodata . histCharacter . keepTaxon . knn.select . missingCharactersTable . missingSamplesTable . morphodata . naMeanSubst . nmds.calc . nmdsdata . pca.calc . pcadata . pcoa.calc . pcoadata . plot3Dpoints . plotAddEllipses . plotAddLabels.characters . plotAddLabels.points . plotAddLegend . plotAddSpiders . plotCharacters . plotPoints . populOTU . qqnormCharacter . read.morphodata . removeTaxon . shapiroWilkTest . stepdisc.calc . summary . transformCharacter . viewMorphodata . 
Some associated R codes: BoxMTest.R . SampsPopsTax.R . boxplots.R . calcDistance.R . cda.calc.R . centaurea.R . classif.knn.R . classif.lda.R . classif.qda.R . classifMatrix.R . classifSample.knn.R . classifSample.lda.R . classifSample.qda.R . clust.R . correlations.R . descrStatistics.R . export.res.R . helperMethods.R . histCharacter.R . keep.itemInMorphodataObject.R . knn.select.R . missingDataTable.R . na.meanSubst.R . newObject.R . nmds.calc.R . pca.calc.R . pcoa.calc.R . plot.3Dpoints.R . plot.R . plot.addEllipses.R . plot.addLabels.characters.R . plot.addLabels.points.R . plot.addLegend.R . plot.addSpiders.R . plot.characters.R . plot.points.R . popul.otu.R . print.R . qq.R . read.morphodata.R . remove.itemFromMorphodataObject.R . shapirowilk.R . stepdisc.calc.R . summary.R . transformCharacter.R . viewMorphodata.R . zzz.R .  Full MorphoTools2 package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA