Learn R Programming

tabplot (version 0.9-1)

tabplot-package: Tableplot, a visualization of large statistical datasets

Description

A tableplot is a visualisation of a (large) statistical dataset with a dozen of variables, both both numeric and categorical. Each column represents a variable and each row bin is an aggregate of a certain number of records. For numeric variables, a bar chart of the mean values is depicted. For categorical variables, a stacked bar chart is depicted of the proportions of categories. Missing values are taken into account. Also supports large ffdf datasets from the ff package.

Arguments

Details

ll{ Package: tabplot Type: Package Version: 0.9-1 Date: 2011-01-25 License: GPL-3 LazyLoad: yes } The function tableplot is used to create a tableplot. With the GUI tableGUI users are able to easily design the tableplot.

Examples

Run this code
irisNA <- iris
	# simulate missing data
	is.na(irisNA$Sepal.Width) <- sample(1:nrow(iris), 30)
	is.na(irisNA$Species) <- sample(1:nrow(iris), 15)

	tableplot(irisNA)

Run the code above in your browser using DataLab