View source: R/strucpca_warper.R
| strucpca_warper | R Documentation | 
This function offers a more structured approach to feature space transformation
by allowing the user to transform different groups of predictor variables
separately. It generates a warper object based on principal component
analyses applied to the feature subsets.
strucpca_warper(
  xdata,
  xvars,
  wvars = NULL,
  yvar,
  uvars = NULL,
  center = TRUE,
  scale = TRUE,
  positive = TRUE,
  title = NULL
)
| xdata | A data frame containing the observations in the original feature space. | 
| xvars | A list of character vectors with the column names of features in  | 
| wvars | A character vector of same length as  | 
| yvar | Name of the response variable (not to be transformed) | 
| uvars | Optional list of same length as  | 
| center | Logical arguments indicating whether the data should
be centered and then scales. Both should be turned on ( | 
| scale | Logical arguments indicating whether the data should
be centered and then scales. Both should be turned on ( | 
| positive | Logical argument (default:  | 
| title | Optional name of the transformation, may be used for printing summaries or for plotting. | 
An object of class warper, rotation_warper and strucpca_warper.
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