imputeRough: Naive Imputation of Missing Values for Dummy Variable Model...
In mvdalab: Multivariate Data Analysis Laboratory
imputeRough R Documentation
Naive Imputation of Missing Values for Dummy Variable Model Matrix
Description
After generating a cell means model matrix, impute expected values (mean or median for continous; hightest frequency for categorical).
Usage
imputeRough(data, Init = "mean")
Arguments
data
a dataset with missing values
Init
For continous variables impute either the mean or median
Details
A completed data frame is returned that mirrors a model.matrix. NAs are replaced with column means or medians. If object contains no NAs, it is returned unaltered. This is the starting point for imputeEM.
Value
imputeRough returns a list containing the following components:
Initials
Imputed values
Pre.Imputed
Pre-imputed data frame
Imputed.Dataframe
Imputed data frame
Author(s)
Nelson Lee Afanador (nelson.afanador@mvdalab.com)
Examples
dat <- introNAs(iris, percent = 25)
imputeRough(dat)
mvdalab documentation built on Oct. 6, 2022, 1:05 a.m.
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| imputeRough | R Documentation |
Naive Imputation of Missing Values for Dummy Variable Model Matrix
Description
After generating a cell means model matrix, impute expected values (mean or median for continous; hightest frequency for categorical).
Usage
imputeRough(data, Init = "mean")
Arguments
data |
a dataset with missing values |
Init |
For continous variables impute either the mean or median |
Details
A completed data frame is returned that mirrors a model.matrix. NAs are replaced with column means or medians. If object contains no NAs, it is returned unaltered. This is the starting point for imputeEM.
Value
imputeRough returns a list containing the following components:
Initials |
Imputed values |
Pre.Imputed |
Pre-imputed data frame |
Imputed.Dataframe |
Imputed data frame |
Author(s)
Nelson Lee Afanador (nelson.afanador@mvdalab.com)
Examples
dat <- introNAs(iris, percent = 25) imputeRough(dat)
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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