summary.imputation: Summarizing imputation information

In choonghyunryu/dlookr: Tools for Data Diagnosis, Exploration, Transformation

Summarizing imputation information

Description

print and summary method for "imputation" class.

Usage

## S3 method for class 'imputation'
summary(object, ...)

Arguments

object	an object of class "imputation", usually, a result of a call to imputate_na() or imputate_outlier().
...	further arguments passed to or from other methods.

Details

summary.imputation() tries to be smart about formatting two kinds of imputation.

See Also

imputate_na, imputate_outlier, summary.imputation.

Examples

# Generate data for the example
heartfailure2 <- heartfailure
heartfailure2[sample(seq(NROW(heartfailure2)), 20), "platelets"] <- NA
heartfailure2[sample(seq(NROW(heartfailure2)), 5), "smoking"] <- NA

# Impute missing values -----------------------------
# If the variable of interest is a numerical variables
platelets <- imputate_na(heartfailure2, platelets, yvar = death_event, method = "rpart")
summary(platelets)

# If the variable of interest is a categorical variables
smoking <- imputate_na(heartfailure2, smoking, yvar = death_event, method = "rpart")
summary(smoking)

# Impute outliers ----------------------------------
# If the variable of interest is a numerical variable
platelets <- imputate_outlier(heartfailure2, platelets, method = "capping")
summary(platelets)

choonghyunryu/dlookr documentation built on June 11, 2024, 9:12 a.m.