Visualize Distribution for an "infogain_bins" Object

Source: R/binning.R

It generates plots for understand distribution and distribution by target variable using infogain_bins.

# S3 method for infogain_bins
plot(x, type = c("bar", "cross"), typographic = TRUE, base_family = NULL, ...)

Arguments

x

an object of class "infogain_bins", usually, a result of a call to binning_rgr().
type

character. options for visualization. Distribution("bar"), Relative Frequency by target ("cross").
typographic

logical. Whether to apply focuses on typographic elements to ggplot2 visualization. The default is TRUE. if TRUE provides a base theme that focuses on typographic elements using hrbrthemes package.
base_family

character. The name of the base font family to use for the visualization. If not specified, the font defined in dlookr is applied. (See details)
...

further arguments to be passed from or to other methods.

Details

The base_family is selected from "Roboto Condensed", "Liberation Sans Narrow", "NanumSquare", "Noto Sans Korean". If you want to use a different font, use it after loading the Google font with import_google_font().

See also

binning_rgr, summary.bins

Examples

# \donttest{
# binning by recursive information gain ratio maximization using character
bin <- binning_rgr(heartfailure, "death_event", "creatinine")

# binning by recursive information gain ratio maximization using name
bin <- binning_rgr(heartfailure, death_event, creatinine)
bin
#> binned type: infogain
#> number of bins: 5
#> x
#> [0.5,1.0)       1.0 [1.1,1.2) [1.2,1.7) [1.7,9.4] 
#>        81        50        43        64        61 

# summary optimal_bins class
summary(bin)
#>      levels freq      rate
#> 1 [0.5,1.0)   81 0.2709030
#> 2       1.0   50 0.1672241
#> 3 [1.1,1.2)   43 0.1438127
#> 4 [1.2,1.7)   64 0.2140468
#> 5 [1.7,9.4]   61 0.2040134

# visualize all information for optimal_bins class
plot(bin)

# visualize WoE information for optimal_bins class
plot(bin, type = "cross")

# visualize all information without typographic
plot(bin, type = "cross", typographic = FALSE)
# }