typecast {mi}R Documentation

Variables type

Description

Function for determinig the variable type.

Usage

  typecast( object )
  ## S4 method for signature 'ANY':
  typecast( object )
  ## S4 method for signature 'matrix':
  typecast( object )
  ## S4 method for signature 'data.frame':
  typecast( object )  
  ## S4 method for signature 'list':
  typecast( object )

Arguments

object Vector, matrix, or data frame of data to determin the type of.

Details

The variable type of a vector, or vector of variable types for each variable in the dataset.

Value

fixed varaibles that contain only one value.
dichotomous variables that contain two values.
ordered-categorical variables that contain 3 to 5 postive values.
unorderd-categorial variables that contain characters or more than 5 postive levels
positive-continuous variables that contain more than 5 postive values, NOT including 0s.
mixed variables that contain more than 5 postive values, including 0s.
continuous variables that are not belong to any of the above types.

Author(s)

Masanao Yajima yajima@stat.columbia.edu, Yu-Sung Su ys463@columbia.edu, M.Grazia Pittau grazia@stat.columbia.edu,

References

Andrew Gelman and M. Grazia Pittau. “A flexible program for missing-data imputation and model checking”. Technical report. Columbia University, New York;

See Also

mi

Examples

data(CHAIN)
class(CHAIN)

typecast(CHAIN[,1]) # for vector

typecast(as.matrix(CHAIN))# for matrix

typecast(CHAIN) # for data.frame

[Package mi version 0.04-6 Index]