plotScores.pca {mdatools}

Scores plot for PCA model

Description

Shows a scores plot for selected components.

Usage

## S3 method for class 'pca'
plotScores(
  obj,
  comp = if (obj$ncomp > 1) c(1, 2) else 1,
  type = "p",
  show.axes = TRUE,
  show.legend = TRUE,
  res = obj$res,
  ...
)

Arguments

obj

a PCA model (object of class pca)

comp

a value or vector with several values - number of components to show the plot for

type

type of the plot ("p", "l", "b", "h")

show.axes

logical, show or not a axes lines crossing origin (0,0)

show.legend

logical, show or not a legend on the plot

res

list with result objects to show the variance for

...

other plot parameters (see mdaplotg for details)

Details

If plot is created only for one result object (e.g. calibration set), then the behaviour and all settings for the scores plot are identical to plotScores.ldecomp. In this case you can show scores as a scatter, line or bar plot for any number of components.

Otherwise (e.g. if model contains results for calibration and test set) the plot is a group plot created using mdaplotg method and only scatter plot can be used.

See examples in help for pca function.