Typically two are extracted to create a plot. Vector giving the indexes of the principal components to extract. When NULL (the default) data will be extracted from the PCA object when it contains it (i.e. The original dataset, to be concatenated with the output when extracting row scores. By default, positions x and y are mapped to the scores on the principal components. )Īn object returned by a function performing Principal Component Analysis.Ī call to aes() specifying additional mappings between variables and plot aesthetics. ) # S3 method for class 'pcaRes' autoplot ( object, mapping = aes (), data = NULL, dimensions = c ( 1, 2 ), which = 'rows', scaling = which, n.max.labels = 100. ) # S3 method for class 'pca' autoplot ( object, mapping = aes (), data = NULL, dimensions = c ( 1, 2 ), which = 'rows', scaling = which, n.max.labels = 100. ) # S3 method for class 'rda' autoplot ( object, mapping = aes (), data = NULL, dimensions = c ( 1, 2 ), which = 'rows', scaling = which, n.max.labels = 100. ) # S3 method for class 'PCA' autoplot ( object, mapping = aes (), data = NULL, dimensions = c ( 1, 2 ), which = 'rows', scaling = which, n.max.labels = 100. # S3 method for class 'prcomp' autoplot ( object, mapping = aes (), data = NULL, dimensions = c ( 1, 2 ), which = 'rows', scaling = which, n.max.labels = 100.
