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(v2.1.1.9233) chore: make all argument texts full sentences

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dr. M.S. (Matthijs) Berends
2025-03-31 14:53:24 +02:00
parent 63099cd81e
commit 1fdab84103
91 changed files with 720 additions and 701 deletions
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13
R/pca.R
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@ -30,7 +30,7 @@
#' Principal Component Analysis (for AMR)
#'
#' Performs a principal component analysis (PCA) based on a data set with automatic determination for afterwards plotting the groups and labels, and automatic filtering on only suitable (i.e. non-empty and numeric) variables.
#' @param x A [data.frame] containing [numeric] columns
#' @param x A [data.frame] containing [numeric] columns.
#' @param ... Columns of `x` to be selected for PCA, can be unquoted since it supports quasiquotation.
#' @inheritParams stats::prcomp
#' @details The [pca()] function takes a [data.frame] as input and performs the actual PCA with the \R function [prcomp()].
@ -60,17 +60,18 @@
#'
#' pca_result
#' summary(pca_result)
#'
#' # old base R plotting method:
#' biplot(pca_result)
#' # new ggplot2 plotting method using this package:
#' if (require("ggplot2")) {
#' ggplot_pca(pca_result)
#' }
#'
#' # new ggplot2 plotting method using this package:
#' if (require("dplyr") && require("ggplot2")) {
#' ggplot_pca(pca_result)
#' }
#' if (require("dplyr") && require("ggplot2")) {
#' ggplot_pca(pca_result) +
#' scale_colour_viridis_d() +
#' labs(title = "Title here")
#' }
#' }
#' }
pca <- function(x,