dataPlot: dataPlot: visualise observation

In SixiangHu/DataMan: Data Summary, One-way Interactive Plot and Model Visualisation Analysis

Description

This function allows you to visualise features of a dataset by specifying dependent and response variable.

Usage

dataPlot(x,y,by=NULL,weights=NULL, exposure = NULL,newGroupNum=10,xlim=NULL, 
    breaks = NULL, missing=TRUE, xname="x",yname="Response",byname="by",legendPos=NULL)

Arguments

x	a vector indicates the dependent variable
y	a vector indicates the response variable
by	Optinal.A numerical vector to specify the <by> variable
weights	Optional. A numerical vector to specify the weights used for calculating weighted average of response. normally this is the figures from over/down-samping.
exposure	Optional. A numerical vector to specify the exposure used for calculating weighted average of response.
newGroupNum	An integer specifies number of new bands when levels of current plotting variable 'xvar' or 'by' is more than 100.
xlim	Optional. A vector provides the range of the variable e.g. xlim=c(0,100).
breaks	Optional. A vector to specify the breaks for the xvar.
missing	logical. whether to show the 'NA' as 'Missing' in plot. If a 'Missing' level is already existed, then 'NA' will combined
xname, yname, byname	Optional. Characters of axis to be shown on plot.
legendPos	Optional. 2 numeric element vector specify the location of legend.

Author(s)

Sixiang.Hu

Examples

dataPlot(mtcars$gear,mtcars$mpg,mtcars$wt)

SixiangHu/DataMan documentation built on May 9, 2019, 1:48 p.m.