pnc_ds: Process, Normalize, and, Consolidate Data Sets

In presagia-analytics/normalizer: Normalize Data for Machine Learning Tasks

Description

Process, Normalize, and, Consolidate Data Sets

Usage

pnc_ds(
  x,
  collapse_on,
  collapse_name = names(x),
  handle_contra_vals = FALSE,
  remove_equiv_columns = TRUE,
  keep_cols = character(),
  verbose = TRUE
)

Arguments

x	a named list of data.frames.
collapse_on	which variable should be collapsed on?
collapse_name	the variable name of the collapsed sub-data.frames. Default is the names of 'x'.
handle_contra_vals	if variables have contradicting values across data.frame's, then can they be handled by using the first instance of the variable in the set? (Default FALSE) See Details for more information.
remove_equiv_columns	should equivalent columns be remove (Default FALSE).
keep_cols	columns that must be kept in the returned data.frame object.
verbose	should extra information be provided? (Default TRUE)

Details

Setting 'handle_contra_vals' to TRUE should be used with extreme caution. If it is used then the contradicting value are stored as an attribute of the consolidated data.frame and can be retrieved using the function 'get_contradictions()'.

presagia-analytics/normalizer documentation built on Dec. 12, 2019, 7:40 a.m.