plot.tbl_ord {ordr}

Plot and biplot methods for 'tbl_ord' objects

Description

Adapt stats 'prcomp' and 'princomp' methods for plot(), screeplot(), and biplot() generics to 'tbl_ord' objects.

Usage

## S3 method for class 'tbl_ord'
plot(x, main = deparse(substitute(x)), ...)

Arguments

x

A 'tbl_ord' object.

main

A main title for the plot, passed to other methods (included to enable parsing of object name).

...

Additional arguments passed to other methods.

Details

These methods defer to any plot() and biplot() methods for the original, underlying model classes of 'tbl_ord' objects. If none are found: Following the examples of stats::plot.prcomp() and stats::plot.princomp(), plot.tbl_ord() calls on stats::screeplot() to produce a scree plot of the decomposition of variance in the singular value decomposition. Similarly following stats::biplot.prcomp() and stats::biplot.princomp(), biplot.tbl_ord() produces a biplot of both rows and columns, using text labels when available and markers otherwise, with rows and columns distinguished by color and no additional annotation (e.g. vectors). The biplot confers inertia according to get_conference() unless the proportions do not sum to 1, in which case it produces a symmetric biplot (inertia conferred equally to rows and columns).

Value

Nothing, but a plot is produced on the current graphics device.

Examples

# note: behavior depends on installed packages with class-specific methods

# class 'prcomp'
iris_pca <- prcomp(iris[, -5L], scale = TRUE)
iris_pca_ord <- as_tbl_ord(iris_pca)
plot(iris_pca)
plot(iris_pca_ord)
screeplot(iris_pca)
screeplot(iris_pca_ord)
biplot(iris_pca)
biplot(iris_pca_ord)

# class 'correspondence'
haireye_ca <- MASS::corresp(rowSums(HairEyeColor, dims = 2L), nf = 2L)
haireye_ca_ord <- as_tbl_ord(haireye_ca)
plot(haireye_ca)
plot(haireye_ca_ord)
# no `screeplot()` method for class 'correspondence'
screeplot(haireye_ca_ord)
biplot(haireye_ca)
biplot(haireye_ca_ord)