creditmodel (version 1.3.0)

plot_distribution: Plot Distribution

Description

You can use the plot_distribution_x to produce the distrbution plot of a variable. You can use the plot_distribution to produce the plots of distrbutions of all variables.

Usage

plot_distribution(
  dat,
  x_list = NULL,
  dir_path = tempdir(),
  breaks_list = NULL,
  g = 10,
  m = 3,
  cut_bin = "equal_width"
)
plot_distribution_x(
  dat,
  x,
  breaks = NULL,
  g = 10,
  m = 3,
  cut_bin = "equal_width",
  binwidth = NULL
)

Arguments

dat

A data.frame with independent variables and target variable.

x_list

Names of independent variables.

dir_path

The path for periodically saved graphic files.

breaks_list

A table containing a list of splitting points for each independent variable. Default is NULL.

g

Number of initial breakpoints for equal frequency binning.

m

The outlier cutoff.

cut_bin

A string, if equal_bins is TRUE, 'equal_depth' or 'equal_width', default is 'equal_depth'.

x

The name of an independent variable.

breaks

Splitting points for an independent variable. Default is NULL.

binwidth

Windth of bins for histogram.

Examples

# NOT RUN {
plot_distribution_x(dat = lendingclub, x = "max_bal_bc", g = 10,
	cut_bin = 'equal_width')
plot_distribution(dat = lendingclub, x_list = c("max_bal_bc", "installment"), 
     g = 10,dir_path = tempdir(),
	cut_bin = 'equal_width')
# }