screeplot: Screeplot for PCA
In multivarious: Extensible Data Structures for Multivariate Analysis

View source: R/all_generic.R

screeplot

R Documentation

Screeplot for PCA

Description

Displays the variance explained by each principal component as a bar or line plot.

Usage

screeplot(x, ...)

Arguments

`x`	A `pca` object.
`...`	extra args

multivarious documentation built on Jan. 22, 2026, 1:06 a.m.

multivarious index

README.md Classifying in latent space: k-NN & Random-Forest wrappers Composing Projectors: Chaining Models Contrastive PCA: Finding What''s Different Between Groups Cross-validation for Dimensionality Reduction Extending multiblock: CCA and glmnet Examples Fast Matrix Approximation with the Nyström Method Introduction to the multivarious Package Linear Re-representation with regress() Multiblock basics: one projector, many tables Partial Least Squares Correlation (PLSC) with Inference Partial projection: working with incomplete feature sets Permutation Testing in multivarious Pre-processing pipelines in multiblock SVD wrapper, PCA and the bi_projector

rdrr.io home R language documentation Run R code online

CRAN packages Bioconductor packages R-Forge packages GitHub packages

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Tweet to @rdrrHQ

GitHub issue tracker

ian@mutexlabs.com