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cranvas (version 0.8.5)

Interactive statistical graphics based on Qt

Description

This is an R package as the next generation of GGobi, a software package for interactive and dynamic statistical graphics. It includes most of features in GGobi such as brushing, zooming, panning, identifying and linking, as well as common types of statistical graphics, e.g. bar plot, scatter plot, boxplot, histogram, density plot, spine plot, parallel coordinates plot, mosaic plot, maps, missing value plot, time series plot, tour, scatter plot matrix, hexagons and tiles (color images), etc. Based on the support of several other packages, cranvas aims for speed (from Qt) and flexibility (from R), with the style and design borrowed from ggplot2.

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Version

Version

0.8.5

License

GPL

Issues

Pull Requests

Stars

Forks

Repository

http://github.com/ggobi/cranvas

Homepage

http://cranvas.org

Maintainer

Yihui Xie

Last Published

February 15th, 2017

Functions in cranvas (0.8.5)

Close all Qt applications in the current R session

Insert line breaks into character strings

Subset of data from the Behavioral Risk Factor Surveillance System

common_key_press

Some common processings in the keyboard and mouse events

Calculate pretty locations of axis tick marks

Check if a data object was created by qdata()

Common meta data structure in cranvas

Set or query the brush attributes

Ames housing statistics

Calculate coordinates of transformed polygons to make cartograms

Create a rectangle to be used in identifying

Draw the brush rectangle

Draw the identify labels under the mouse

Generate lighter colors

Extend the range of data by an amount

cranvas-package

Interactive statistical graphics based on Qt

Set the dimensions of child layers to fixed values

US Crimes data from 2009

Categorical linking

Get the id's of listeners on linking

Spatiotemporal measurements of climate variables

Set or query the linking variable in a mutaframe

Match keys from a keyboard event

Create data for drawing maps

NRC rankings data for the statistics departments in the US

Logical operations under different selection mode

Simple data imputation

Manually brush the plot via command line

k-Nearest neighbor linking

Set or query the type of linking

Draw a bar plot

Draw a univariate density plot

Create a boxplot layer

Draw boxplots for several variables in the data or a continuous variable vs a categorical variable

Preferred height and width of layers with texts

Create an axis layer

Create a background grid layer

Get the relative width and height of one pixel on the screen

Create a mutaframe from data with attributes for interaction

Temporal measurements on UK Pig production

Draw a parallel coordinates plot

Draw a missing value plot

Graphical parameters in cranvas

Create a legend layer

Create a margin text layer

Draw a histogram or a spine plot

Save the plot to a file

register_handlers

Register new handlers on a plot object

Create a tour associated with a mutaframe

Set or query the selected (brushed) observations

Remove the linking in mutaframes

Draw a scatter plot

save_brush_history

Create the brush history

Draw a time plot

Set the cursor of a view

record_selector

Select a subset of data through a GUI to be brushed

Re-order the columns of a data frame based on MDS or ANOVA

Set or query the visibility of observations

Demographic data for wages of male high-school dropouts

Switch the values of two variables

Set palettes and variables to map data to aesthetics

Sync layer limits

Wages of male high-school dropouts

Coordinates of the world map

Dataset of 2006 Australian Open mens tennis matches

Get variable names

update_brush_size

Update the brush size in the mouse move event

Mosaic plot. Create a mosaicplot using a formula (as described in prodplot)