missing_matrix: Create a missing indicator information
In julianhatwell/arulesimp: Association Rules Based Method for Imputation
Description
Usage
Arguments
Value
Examples
Description
Converts a data frame into a mim object. This is a list
of vectors showing the positions of missing data by rows and columns
and a missing indicator matrix
Usage
1
missing_matrix(dt, one_as_missing = TRUE)
Arguments
dt
A data frame
one_as_missing
A scalar boolean. If true, 1 represents missing and 0 represents observed data. Otherwise the reverse true.
Value
A list containing vectors showing the position of missing data
by rows and columns and a matrix of 1 and 0 having the same dimensions as the input.
Examples
1
missing_matrix(data.frame(x = c("foo", NA), y = c(NA, "bar")))
julianhatwell/arulesimp documentation built on May 11, 2019, 4:17 p.m.
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Description Usage Arguments Value Examples
Description
Converts a data frame into a mim object. This is a list of vectors showing the positions of missing data by rows and columns and a missing indicator matrix
Usage
1 | missing_matrix(dt, one_as_missing = TRUE)
|
Arguments
dt |
A data frame |
one_as_missing |
A scalar boolean. If true, 1 represents missing and 0 represents observed data. Otherwise the reverse true. |
Value
A list containing vectors showing the position of missing data by rows and columns and a matrix of 1 and 0 having the same dimensions as the input.
Examples
1 | missing_matrix(data.frame(x = c("foo", NA), y = c(NA, "bar")))
|
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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