PCOload {MorphoRegions} | R Documentation |
Calculate PCO loadings
Description
PCOload()
computes the loadings for each principal coordinates (PCOs) analysis score, which are the correlations between the features used to compute the PCOs and the PCOs.
Usage
PCOload(x, scores)
## S3 method for class 'regions_pco_load'
plot(x, ...)
Arguments
x |
for |
scores |
a numeric vector containing the indices of the desired scores. |
... |
ignored. |
Details
the loadings for a constructed variable, vert.size
, are also computed and displayed. This is computed as the mean of the features for each vertebra.
Value
PCOload()
returns a regions_pco_load
object, which is a matrix with a column for each PCO score requested and a row for each variable in the original dataset; values indicate the correlation between each variable and each PCO score. plot()
returns a ggplot
object, which can be manipulated using ggplot2 syntax, that displays the loadings visually.
See Also
svdPCO()
for computing the PCOs; plot.regions_pco()
for visualizing the correlations between PCO scores.
Examples
data("alligator")
alligator_data <- process_measurements(alligator,
pos = "Vertebra")
# Compute PCOs
alligator_PCO <- svdPCO(alligator_data)
# Compute PCO loadings
loadings <- PCOload(alligator_PCO, scores = 1:4)
loadings
# Plot loadings
plot(loadings)