missing_mine: Analyze each column of a data set that has missing values for...
In Stat-Cook/NURS.Data.Quality:
Description
Usage
Arguments
Value
View source: R/missing_mining.R
Description
Analyze each column of a data set that has missing values for patterns of missingness.
Usage
1
missing_mine(data, method = "rpart")
Arguments
data
Data frame to be analyzed
method
'caret::train' method to be applied.
Value
Vector of ROC values. Values greater than 0.5 imply some predictve power.
Stat-Cook/NURS.Data.Quality documentation built on Dec. 18, 2021, 2:09 p.m.
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Description Usage Arguments Value
View source: R/missing_mining.R
Description
Analyze each column of a data set that has missing values for patterns of missingness.
Usage
1 | missing_mine(data, method = "rpart")
|
Arguments
data |
Data frame to be analyzed |
method |
'caret::train' method to be applied. |
Value
Vector of ROC values. Values greater than 0.5 imply some predictve power.
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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