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mi (version 0.06-5)

mi.preprocess: Preproessing and Postprocessing mi data object

Description

Function for propressing and postprocessing mixed, and positive-continuous variable types in mi data object

Usage

mi.preprocess(data, info)
  mi.postprocess(mi.data, info)

Arguments

data
the data.frame to be imputed.
info
the information matrix, see mi.info.
mi.data
the imputed data list, obtained from mi.completed

Value

  • a data.frame or a list of dataframe.

Details

mi.proprocess will transform the mixed and positive-continuous variable types. If the variable is of mixed type, the function transforms the variable into two variables: an indicator indicates whether the value is postive or not and a transformed variable that takes on all positive value and is transformed either by taking a log; 0 and NA will be treated as missing for such a variable. If the variable is of positive-continuous type, it will be transformed by taking a log. mi.postprocess will transform the imputed dataset back to its original form. The imputed dataset is obtained from mi.completed function.

See Also

mi.completed