ggstat: Generate a ggplot for the statistics in different levels...

In JianhuaHuang/streamit: Streamline Routine Modeling Work

Description

level.stat provides the useful statistics for different levels (groups) in the given independent variables.

Usage

ggstat(data, var = "Variable.IV", x = "Group", y = "Rate.1",
  y.label = "Perc.1", y.label.col = "red", y.title = NULL,
  bar.col = "cornflowerblue", width = "Rate.group",
  width.label = "Perc.group", width.label.col = "black", ncol = NULL,
  theme = c("classic", "ws"), background = "white")

Arguments

data	The data frame used for the ggplot. It is usually the output from level.stat. It can be other data frame, if the structure of the data is appropriate.
var	The column represents the variables, which is used as the head in each plot panel.
x	The variable used as x axis
y	The variable used as y axis
y.label	The text used to label the y value
y.label.col	The color of the y.label text
y.title	The title of y axis for the whole plot
bar.col	The color of the bar
width	The column used to represents the width of the bar, or a contant numeric value.
width.label	The text used to label the Width of the bar
width.label.col	The color of the width.label text
ncol	Number of column for the plot
theme	The theme of the plot. It can be 'classic' or 'ws' (Wall Street)
background	The background color

Value

a data frame inclduing frequency, rates, Weight of Evidence (WOE), and Information Value (IV) for each level. The return data is already ranked by the IV values from high to low.

Examples

data <- rpart::stagec
st <- level.stat(data, x = c('eet', 'ploidy'), y = 'pgstat')
ggstat(st, theme = 'ws')

JianhuaHuang/streamit documentation built on May 7, 2019, 10:40 a.m.