dlookr (version 0.3.9)

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

Description

Visualize four kinds of plot by attribute of relate class.

Usage

# S3 method for relate
plot(x, model = FALSE, hex_thres = 1000,
  pal = RColorBrewer::brewer.pal(7, "YlOrRd"), ...)

Arguments

x

an object of class "relate", usually, a result of a call to relate().

model

logical. This argument selects whether to output the visualization result to the visualization of the object of the lm model to grasp the relationship between the numerical variables.

hex_thres

an integer. Use only when the target and predictor are numeric variables. Used when the number of observations is large. Specify the threshold of the observations to draw hexabin plots that are not scatterplots. The default value is 1000.

pal

Color palette to paint hexabin. Use only when the target and predictor are numeric variables. Applied only when the number of observations is greater than hex_thres.

...

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

relate, print.relate.

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

# If the target variable is a categorical variable
categ <- target_by(carseats, US)

# If the variable of interest is a numarical variable
cat_num <- relate(categ, Sales)
cat_num
summary(cat_num)
plot(cat_num)

# If the variable of interest is a categorical variable
cat_cat <- relate(categ, ShelveLoc)
cat_cat
summary(cat_cat)
plot(cat_cat)

##---------------------------------------------------
# If the target variable is a categorical variable
num <- target_by(carseats, Sales)

# If the variable of interest is a numarical variable
num_num <- relate(num, Price)
num_num
summary(num_num)
plot(num_num)
plot(num_num, hex_thres = 400)

# If the variable of interest is a categorical variable
num_cat <- relate(num, ShelveLoc)
num_cat
summary(num_cat)
plot(num_cat)
# }