is.discrete: Identify whether variables are discrete or continuous.
In hot.deck: Multiple Hot Deck Imputation
Description
Usage
Arguments
Value
Description
Variables are considered discrete if they have fewer unique, non-missing values than cutoff or they are factors. Otherwise, variables are considered continuous.
Usage
1
is.discrete(data, cutoff = 10)
Arguments
data
A data frame, matrix or vector of values to be evaluated.
cutoff
A numeric scalar identifying the cutoff relative to the number of unique, non-missing values for ‘discreteness’.
Value
A logical vector indicating whether variables are discrete (TRUE) or continuous FALSE.
hot.deck documentation built on Aug. 17, 2021, 5:09 p.m.
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Description Usage Arguments Value
Description
Variables are considered discrete if they have fewer unique, non-missing values than cutoff or they are factors. Otherwise, variables are considered continuous.
Usage
1 | is.discrete(data, cutoff = 10)
|
Arguments
data |
A data frame, matrix or vector of values to be evaluated. |
cutoff |
A numeric scalar identifying the cutoff relative to the number of unique, non-missing values for ‘discreteness’. |
Value
A logical vector indicating whether variables are discrete (TRUE) or continuous FALSE.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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