findviews_to_predict_core detects groups of mutually dependent
columns, and ranks them by their predictive power. It produces the same
findviews_to_predict, but does not
present them with a Shiny app.
Name of the variable to be predicted.
Data frame or matrix to be processed
Maximum number of columns in the views. If set to
Character describing a clustering method, used internally
findviews_to_predict_core takes a data set and a target
variable as input. It detects clusters of statistically dependent columns in
the data set - e.g., views - and ranks those groups according to how well
they predict the target variable.
See the documentation of
findviews_to_predict for more
The difference between
findviews_to_predict_core is that the former presents its results
with a Shiny app, while the latter simply outputs them as R stuctures.
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