target.boxplot: Plot pattern of missing values by class
In 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
target.boxplot(df, y, class)
Arguments
df
dataframe with missing values
y
target variable
class
name of the variable containing classes
Value
A boxplot for each class of the target variable
Examples
1
2
data(data.example)
target.boxplot(data.example, y, "class")
biokNN documentation built on April 22, 2021, 9:07 a.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 | target.boxplot(df, y, class)
|
Arguments
df |
dataframe with missing values |
y |
target variable |
class |
name of the variable containing classes |
Value
A boxplot for each class of the target variable
Examples
1 2 | data(data.example)
target.boxplot(data.example, y, "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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