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vcd (version 1.4-10)

Visualizing Categorical Data

Description

Visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was package was originally inspired by the book "Visualizing Categorical Data" by Michael Friendly and is now the main support package for a new book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer (2015).

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Version

Install

install.packages('vcd')

Monthly Downloads

50,187

Version

1.4-10

License

GPL-2

Maintainer

David Meyer

Last Published

June 9th, 2022

Functions in vcd (1.4-10)

BrokenMarriage

Broken Marriage Data
CoalMiners

Breathlessness and Wheeze in Coal Miners
Arthritis

Arthritis Treatment Data
Bundesliga

Ergebnisse der Fussball-Bundesliga
Employment

Employment Status
Butterfly

Butterfly Species in Malaya
Bundestag2005

Votes in German Bundestag Election 2005
DanishWelfare

Danish Welfare Study Data
Baseball

Baseball Data
Federalist

`May' in Federalist Papers
Lifeboats

Lifeboats on the Titanic
NonResponse

Non-Response Survey Data
Hitters

Hitters Data
SpaceShuttle

Space Shuttle O-ring Failures
Ord_plot

Ord Plots
SexualFun

Sex is Fun
HorseKicks

Death by Horse Kicks
VonBort

Von Bortkiewicz Horse Kicks Data
WeldonDice

Weldon's Dice Data
Trucks

Truck Accidents Data
MSPatients

Diagnosis of Multiple Sclerosis
Suicide

Suicide Rates in Germany
binreg_plot

Binary Regression Plot
PreSex

Pre-marital Sex and Divorce
cd_plot

Conditional Density Plots
distplot

Diagnostic Distribution Plots
WomenQueue

Women in Queues
doubledecker

Doubledecker Plot
OvaryCancer

Ovary Cancer Data
Hospital

Hospital data
grid_legend

Legend Function for grid Graphics
fourfold

Fourfold Plots
agreementplot

Bangdiwala's Observer Agreement Chart
cotab_panel

Panel-generating Functions for Contingency Table Coplots
grid_barplot

Barplot
labeling_border

Labeling Functions for Strucplots
RepVict

Repeat Victimization Data
Punishment

Corporal Punishment Data
JobSatisfaction

Job Satisfaction Data
cotabplot

Coplot for Contingency Tables
mosaic

Extended Mosaic Plots
sieve

Extended Sieve Plots
labeling_cells_list

Labeling Functions for Strucplots
shadings

Shading-generating Functions for Residual-based Shadings
loddsratio

Calculate Generalized Log Odds Ratios for Frequency Tables
goodfit

Goodness-of-fit Tests for Discrete Data
mar_table

Table with Marginal Sums
ternaryplot

Ternary Diagram
mplot

Multiple Grid plots
tile

Tile Plot
Kappa

Cohen's Kappa and Weighted Kappa
Rochdale

Rochdale Data
Saxony

Families in Saxony
JointSports

Opinions About Joint Sports
assoc

Extended Association Plots
co_table

Compute Conditional Tables
coindep_test

Test for (Conditional) Independence
assocstats

Association Statistics
legends

Legend Functions for Strucplots
UKSoccer

UK Soccer Scores
Pairs plot panel functions for off-diagonal cells

Off-diagonal Panel Functions for Table Pairs Plot
hls

HLS Color Specification
structable

Structured Contingency Tables
plot.loddsratio

Plotting (Log) Odds Ratios
table2d_summary

Summary of a 2-way Table
struc_sieve

Core-generating Function for Sieve Plots
VisualAcuity

Visual Acuity in Left and Right Eyes
plot.loglm

Visualize Fitted Log-linear Models
rootogram

Rootograms
spacings

Spacing-generating Functions
strucplot

Structured Displays of Contingency Tables
pairs.table

Pairs Plot for Contingency Tables
spine

Spine Plots and Spinograms
lodds

Calculate Generalized Log Odds for Frequency Tables
independence_table

Independence Table
struc_assoc

Core-generating Function for Association Plots
woolf_test

Woolf Test
Pairs plot panel functions for diagonal cells

Diagonal Panel Functions for Table Pairs Plot
struc_mosaic

Core-generating Function for Mosaic Plots