tidy: Tidy Coordinates

Description

Tidy Coordinates

Usage

tidy(x, ...)
augment(x, ...)
# S4 method for MultivariateAnalysis
augment(x, ..., margin = 1, axes = c(1, 2), principal = TRUE)
# S4 method for MultivariateAnalysis
tidy(x, ..., margin = 1, principal = TRUE)

Value

tidy() returns a long data.frame with the following columns:

label: Row/column names of the original data.
component: Component.
supplementary: Whether an observation is active or supplementary.
coordinate: Coordinates.
contribution: Contributions to the definition of the components.
cos2: \(cos^2\).

augment() returns a wide data.frame of the row/column coordinates along axes and the following columns:

label: Row/column names of the original data.
supplementary: Whether an observation is active or supplementary.
mass: Weight/mass of each observation.
sum: Sum of squared coordinates along axes.
contribution: Joint contributions to the definition of axes.
cos2: Joint \(cos^2\) along axes.

Arguments

x: A CA, MCA or PCA object.
...: Currently not used.
margin: A length-one numeric vector giving the subscript which the data will be returned: 1 indicates individuals/rows (the default), 2 indicates variables/columns.
axes: A length-two numeric vector giving the dimensions for which to compute results.
principal: A logical scalar: should principal coordinates be returned? If FALSE, standard coordinates are returned.

Author

N. Frerebeau

Examples

Run this code

## Load data
data("iris")

## Compute principal components analysis
X <- pca(iris, scale = TRUE, sup_row = 5:10)

## Get row principal coordinates
head(get_coordinates(X, margin = 1, principal = TRUE))

## Get row standard coordinates
head(get_coordinates(X, margin = 1, principal = FALSE))

## Tidy principal coordinates
head(tidy(X, margin = 1))
head(tidy(X, margin = 2))

head(augment(X, margin = 1, axes = c(1, 2)))
head(augment(X, margin = 2, axes = c(1, 2)))