Description Usage Arguments Value Examples
Principal Components Analysis function wrappers that give the result in a tidy data.frame.
1 2 3 | pca.stats_prcomp(..., raw_output = TRUE)
pca.vegan_rda(..., raw_output = TRUE)
|
... |
Input arguments of the relevant wrapped functions. |
raw_output |
Logical. Should the raw output of the wrapped functions be stored as an additional output attribute "raw"? Default: TRUE. |
A tibble with the PCA results for variables (columns) and objects (rows).
Additional values are stored in object attributes. See attributes(result)$raw
.
name: Character. Names of rows and columns.
type: Character. Type of entry ("row" or "col").
...: Additional variables as provided by the wrapped functions.
PC1...PCX: Numeric. Resulting coordinates.
1 2 3 4 5 | # establish an other distance measure in the data that allows application of PCA
matuskovo_distance <- vegan::decostand(matuskovo_material, "norm")
pca.stats_prcomp(matuskovo_distance)
pca.vegan_rda(matuskovo_distance)
|
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