pattern_plot: Plot pattern of missing values by class
In mcubillos3/biokNN: Bi-Objective k-Nearest Neighbors Imputation for Multilevel Data
Description
Usage
Arguments
Value
Examples
Description
This function returns a dataframe with a multilevel structure. It generates a dataframe using a varying
intercepts/varying slopes linear regression with a single target variable y.
Usage
1
pattern_plot(df, className, varNames)
Arguments
df
dataframe with missing values
className
name of the variable containing classes
varNames
vector with the name of the variables to be imputed
Value
A plot with the patter of missing values by class, by variable
Examples
1
2
data(data_example)
pattern_plot(data_example, "class")
mcubillos3/biokNN documentation built on Dec. 21, 2021, 4:50 p.m.
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Description Usage Arguments Value Examples
Description
This function returns a dataframe with a multilevel structure. It generates a dataframe using a varying intercepts/varying slopes linear regression with a single target variable y.
Usage
1 | pattern_plot(df, className, varNames)
|
Arguments
df |
dataframe with missing values |
className |
name of the variable containing classes |
varNames |
vector with the name of the variables to be imputed |
Value
A plot with the patter of missing values by class, by variable
Examples
1 2 | data(data_example)
pattern_plot(data_example, "class")
|
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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