dlookr (version 0.3.9)

plot.imputation: Visualize Information for an "imputation" Object

Description

Visualize two kinds of plot by attribute of `imputation` class. The imputation of a numerical variable is a density plot, and the imputation of a categorical variable is a bar plot.

Usage

# S3 method for imputation
plot(x, ...)

Arguments

x

an object of class "imputation", usually, a result of a call to imputate_na() or imputate_outlier().

...

arguments to be passed to methods, such as graphical parameters (see par). only applies when the model argument is TRUE, and is used for ... of the plot.lm () function.

See Also

imputate_na, imputate_outlier, summary.imputation.

Examples

# NOT RUN {
# Generate data for the example
carseats <- ISLR::Carseats
carseats[sample(seq(NROW(carseats)), 20), "Income"] <- NA
carseats[sample(seq(NROW(carseats)), 5), "Urban"] <- NA

# Imputate missing values -----------------------------
# If the variable of interest is a numarical variable
income <- imputate_na(carseats, Income, US, method = "rpart")
income
summary(income)
plot(income)

# If the variable of interest is a categorical variable
urban <- imputate_na(carseats, Urban, US, method = "mice")
urban
summary(urban)
plot(urban)

# Imputate outliers ----------------------------------
# If the variable of interest is a numarical variable
price <- imputate_outlier(carseats, Price, method = "capping")
price
summary(price)
plot(price)
# }