P281424/AMR
1
0
Fork 0
mirror of https://github.com/msberends/AMR.git synced 2025-07-12 14:21:57 +02:00
Code Releases Activity

(v1.5.0.9006) major documentation update

Browse Source
This commit is contained in:
dr. M.S. (Matthijs) Berends
2021-01-18 16:57:56 +01:00
parent e95218c0d1
commit 4eab095306
174 changed files with 1488 additions and 1071 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
R/ggplot_pca.R
View File

@ -23,10 +23,10 @@
# how to conduct AMR analysis: https://msberends.github.io/AMR/ #
# ==================================================================== #
#' PCA biplot with `ggplot2`
#' PCA Biplot with `ggplot2`
#'
#' Produces a `ggplot2` variant of a so-called [biplot](https://en.wikipedia.org/wiki/Biplot) for PCA (principal component analysis), but is more flexible and more appealing than the base \R [biplot()] function.
#' @inheritSection lifecycle Maturing lifecycle
#' @inheritSection lifecycle Maturing Lifecycle
#' @param x an object returned by [pca()], [prcomp()] or [princomp()]
#' @inheritParams stats::biplot.prcomp
#' @param labels an optional vector of labels for the observations. If set, the labels will be placed below their respective points. When using the [pca()] function as input for `x`, this will be determined automatically based on the attribute `non_numeric_cols`, see [pca()].