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, ...)
x | an object of class "infogain_bins", usually, a result of a call to binning_rgr(). |
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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. |
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().
# \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#> 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# }