Variables type

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Description

Function for determinig the variable type.

Usage

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  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.

binary

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.

nonnegative

variables that contain more than 5 postive values, including 0s.

continuous

variables that are not belong to any of the above types.

log-continuous

log-scaled continuous variable

Author(s)

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

References

Yu-Sung Su, Andrew Gelman, Jennifer Hill, Masanao Yajima. (2011). “Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box”. Journal of Statistical Software 45(2).

See Also

mi

Examples

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data(CHAIN)
class(CHAIN)

typecast(CHAIN[,1]) # for vector

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

typecast(CHAIN) # for data.frame

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