reduceDimensionality {psichomics} | R Documentation |
Reduce dimensionality after processing missing values from data frame
reduceDimensionality( data, type = c("pca", "ica"), center = TRUE, scale. = FALSE, naTolerance = NULL, missingValues = round(0.05 * ncol(data)), ... )
data |
Data frame: data |
type |
Character: dimensionality reduction technique ( |
center |
either a logical value or numeric-alike vector of length
equal to the number of columns of |
scale. |
Boolean: scale variables? |
naTolerance |
Integer: percentage of tolerated missing values per column (deprecated) |
missingValues |
Integer: number of tolerated missing values per column to be replaced with the mean of the values of that same column |
... |
Extra parameters passed to FUN |
PCA result in a prcomp
object or ICA result
object