ggInterval_2DhistMatrix: 2-Dimension histogram matrix

In ggESDA: Exploratory Symbolic Data Analysis with 'ggplot2'

2-Dimension histogram matrix

Description

Visualize the all continuous variable distribution by dividing both the x axis and y axis into bins,and calculating the frequency of observation interval in each bin.Eventually show it by a matrix plot. Note: this function will automatically filter out the discrete variables,and plot all continuous in input data, so it can not be necessary that give the particularly variables in aes such like (aes(x = x, y = y)). It isn't also recommended to deal with too many variables because the big O in calculating full matrix will be too large.

Usage

ggInterval_2DhistMatrix(data = NULL,mapping = aes(NULL)
,xBins = 8,yBins=8,removeZero = FALSE,
addFreq = TRUE)

Arguments

data	A ggESDA object. It can also be either RSDA object or classical data frame, which will be automatically convert to ggESDA data.
mapping	Set of aesthetic mappings created by aes() or aes_(). If specified and inherit. aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping. It is the same as the mapping of ggplot2.
xBins	x axis bins,which mean how many bins x variable will be separate into
yBins	y axis bins. It is the same as xBins
removeZero	whether remove data whose frequency is equal to zero
addFreq	where add frequency text in each cells.

Value

Return a plot with ggplot2 object

Examples

ggInterval_2DhistMatrix(oils, xBins = 5, yBins = 5)

ggESDA documentation built on Aug. 19, 2022, 9:06 a.m.