easyCODA-package {easyCODA} | R Documentation |
Univariate and multivariate methods for compositional data analysis, based on logratios.
The DESCRIPTION file:
Package: | easyCODA |
Type: | Package |
Depends: | ca (>= 0.6) |
Title: | Compositional Data Analysis in Practice |
Version: | 0.23 |
Date: | 2018-05-29 |
Author: | Michael Greenacre |
Maintainer: | Michael Greenacre <michael.greenacre@upf.edu> |
Description: | Univariate and multivariate methods for compositional data analysis, based on logratios. |
License: | GPL |
Repository: | R-Forge |
Repository/R-Forge/Project: | easycoda |
Repository/R-Forge/Revision: | 11 |
Repository/R-Forge/DateTimeStamp: | 2018-05-29 19:50:47 |
Date/Publication: | 2018-05-29 19:50:47 |
Index of help topics:
ALR Additive logratios BAR Compositional bar plot CLR Centred logratios DOT Dot plot LR All pairwise logratios LR.VAR Total logratio variance LRA Logratio analysis PLOT.LRA Plot the results of a logratio analysis Tellus Dataset: Tellus cups Dataset: RomanCups easyCODA-package Compositional Data Analysis in Practice invALR Inverse of additive logratios invCLR Inverse of centred logratios veg Dataset: Vegetables
Michael Greenacre
Maintainer: Michael Greenacre <michael.greenacre@upf.edu>
Greenacre, Michael (2018) Compositional Data Analysis in Practice. Chapman & Hall / CRC Press
data("author") which(author == 0, arr.ind = TRUE) # row 5 (Farewell to Arms) and col 17 (Q) has a zero # replace it with 0.5 for the logratio analysis author[5,17] <- 0.5 plot(LRA(author))