contingency.tables: Contingency Tables
In Deducer: A Data Analysis GUI for R
Description
Usage
Arguments
Value
See Also
Examples
Description
Creates a contingency.tables object
Usage
1
contingency.tables(row.vars, col.vars, stratum.var, data=NULL, missing.include=FALSE )
Arguments
row.vars
A variable or data frame evaluated in data
col.vars
A variable or data frame evaluated in data
stratum.var
A variable evaluated in data
data
A data.frame
missing.include
A logical indicating whether a missing category should be included in the table
Value
A list with class "contingency.tables." Each element of the list is a single contingency table of
class "contin.table" corresponding to each combination of elements of row.vars and col.vars
stratified by stratum.var
See Also
Examples
1
2
3
4
5
6
7
8
temp.data<-data.frame(a=rnorm(100)>0,b=rnorm(100)>0,gender=rep(c("male","female"),50))
#a vs. b stratified by gender
tab<-contingency.tables(a,b,gender,data=temp.data)
tab
##add in chi-squared tests
tab<-add.chi.squared(tab)
tab
Example output
Loading required package: ggplot2
Loading required package: JGR
Loading required package: rJava
Loading required package: JavaGD
Please type JGR() to launch console. Platform specific launchers (.exe and .app) can also be obtained at http://www.rforge.net/JGR/files/.
Loading required package: car
Loading required package: carData
Loading required package: MASS
Registered S3 methods overwritten by 'lme4':
method from
cooks.distance.influence.merMod car
influence.merMod car
dfbeta.influence.merMod car
dfbetas.influence.merMod car
Note Non-JGR console detected:
Deducer is best used from within JGR (http://jgr.markushelbig.org/).
To Bring up GUI dialogs, type deducer().
================================================================================
==================================================
========== Table: a by b ==========
| -- Stratum = female --
| b
a | FALSE | TRUE | Row Total |
-----------------------|-----------|-----------|-----------|
FALSE Count | 11 | 15 | 26 |
Row % | 42.308% | 57.692% | 52.000% |
Column % | 55.000% | 50.000% | |
Total % | 22.000% | 30.000% | |
-----------------------|-----------|-----------|-----------|
TRUE Count | 9 | 15 | 24 |
Row % | 37.500% | 62.500% | 48.000% |
Column % | 45.000% | 50.000% | |
Total % | 18.000% | 30.000% | |
-----------------------|-----------|-----------|-----------|
Column Total | 20 | 30 | 50 |
Column % | 40.000% | 60.000% | |
| -- Stratum = male --
| b
a | FALSE | TRUE | Row Total |
-----------------------|-----------|-----------|-----------|
FALSE Count | 11 | 12 | 23 |
Row % | 47.826% | 52.174% | 46.000% |
Column % | 39.286% | 54.545% | |
Total % | 22.000% | 24.000% | |
-----------------------|-----------|-----------|-----------|
TRUE Count | 17 | 10 | 27 |
Row % | 62.963% | 37.037% | 54.000% |
Column % | 60.714% | 45.455% | |
Total % | 34.000% | 20.000% | |
-----------------------|-----------|-----------|-----------|
Column Total | 28 | 22 | 50 |
Column % | 56.000% | 44.000% | |
================================================================================
================================================================================
==================================================
========== Table: a by b ==========
| -- Stratum = female --
| b
a | FALSE | TRUE | Row Total |
-----------------------|-----------|-----------|-----------|
FALSE Count | 11 | 15 | 26 |
Row % | 42.308% | 57.692% | 52.000% |
Column % | 55.000% | 50.000% | |
Total % | 22.000% | 30.000% | |
-----------------------|-----------|-----------|-----------|
TRUE Count | 9 | 15 | 24 |
Row % | 37.500% | 62.500% | 48.000% |
Column % | 45.000% | 50.000% | |
Total % | 18.000% | 30.000% | |
-----------------------|-----------|-----------|-----------|
Column Total | 20 | 30 | 50 |
Column % | 40.000% | 60.000% | |
| -- Stratum = male --
| b
a | FALSE | TRUE | Row Total |
-----------------------|-----------|-----------|-----------|
FALSE Count | 11 | 12 | 23 |
Row % | 47.826% | 52.174% | 46.000% |
Column % | 39.286% | 54.545% | |
Total % | 22.000% | 24.000% | |
-----------------------|-----------|-----------|-----------|
TRUE Count | 17 | 10 | 27 |
Row % | 62.963% | 37.037% | 54.000% |
Column % | 60.714% | 45.455% | |
Total % | 34.000% | 20.000% | |
-----------------------|-----------|-----------|-----------|
Column Total | 28 | 22 | 50 |
Column % | 56.000% | 44.000% | |
Large Sample
Test Statistic DF p-value
Stratum = female Chi Squared 0.12 1 0.729
Stratum = male Chi Squared 1.155 1 0.283
================================================================================
Deducer documentation built on May 2, 2019, 8:35 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value See Also Examples
Description
Creates a contingency.tables object
Usage
1 | contingency.tables(row.vars, col.vars, stratum.var, data=NULL, missing.include=FALSE )
|
Arguments
row.vars |
A variable or data frame evaluated in data |
col.vars |
A variable or data frame evaluated in data |
stratum.var |
A variable evaluated in data |
data |
A |
missing.include |
A logical indicating whether a missing category should be included in the table |
Value
A list with class "contingency.tables." Each element of the list is a single contingency table of
class "contin.table" corresponding to each combination of elements of row.vars and col.vars
stratified by stratum.var
See Also
Examples
1 2 3 4 5 6 7 8 | temp.data<-data.frame(a=rnorm(100)>0,b=rnorm(100)>0,gender=rep(c("male","female"),50))
#a vs. b stratified by gender
tab<-contingency.tables(a,b,gender,data=temp.data)
tab
##add in chi-squared tests
tab<-add.chi.squared(tab)
tab
|
Example output
Loading required package: ggplot2
Loading required package: JGR
Loading required package: rJava
Loading required package: JavaGD
Please type JGR() to launch console. Platform specific launchers (.exe and .app) can also be obtained at http://www.rforge.net/JGR/files/.
Loading required package: car
Loading required package: carData
Loading required package: MASS
Registered S3 methods overwritten by 'lme4':
method from
cooks.distance.influence.merMod car
influence.merMod car
dfbeta.influence.merMod car
dfbetas.influence.merMod car
Note Non-JGR console detected:
Deducer is best used from within JGR (http://jgr.markushelbig.org/).
To Bring up GUI dialogs, type deducer().
================================================================================
==================================================
========== Table: a by b ==========
| -- Stratum = female --
| b
a | FALSE | TRUE | Row Total |
-----------------------|-----------|-----------|-----------|
FALSE Count | 11 | 15 | 26 |
Row % | 42.308% | 57.692% | 52.000% |
Column % | 55.000% | 50.000% | |
Total % | 22.000% | 30.000% | |
-----------------------|-----------|-----------|-----------|
TRUE Count | 9 | 15 | 24 |
Row % | 37.500% | 62.500% | 48.000% |
Column % | 45.000% | 50.000% | |
Total % | 18.000% | 30.000% | |
-----------------------|-----------|-----------|-----------|
Column Total | 20 | 30 | 50 |
Column % | 40.000% | 60.000% | |
| -- Stratum = male --
| b
a | FALSE | TRUE | Row Total |
-----------------------|-----------|-----------|-----------|
FALSE Count | 11 | 12 | 23 |
Row % | 47.826% | 52.174% | 46.000% |
Column % | 39.286% | 54.545% | |
Total % | 22.000% | 24.000% | |
-----------------------|-----------|-----------|-----------|
TRUE Count | 17 | 10 | 27 |
Row % | 62.963% | 37.037% | 54.000% |
Column % | 60.714% | 45.455% | |
Total % | 34.000% | 20.000% | |
-----------------------|-----------|-----------|-----------|
Column Total | 28 | 22 | 50 |
Column % | 56.000% | 44.000% | |
================================================================================
================================================================================
==================================================
========== Table: a by b ==========
| -- Stratum = female --
| b
a | FALSE | TRUE | Row Total |
-----------------------|-----------|-----------|-----------|
FALSE Count | 11 | 15 | 26 |
Row % | 42.308% | 57.692% | 52.000% |
Column % | 55.000% | 50.000% | |
Total % | 22.000% | 30.000% | |
-----------------------|-----------|-----------|-----------|
TRUE Count | 9 | 15 | 24 |
Row % | 37.500% | 62.500% | 48.000% |
Column % | 45.000% | 50.000% | |
Total % | 18.000% | 30.000% | |
-----------------------|-----------|-----------|-----------|
Column Total | 20 | 30 | 50 |
Column % | 40.000% | 60.000% | |
| -- Stratum = male --
| b
a | FALSE | TRUE | Row Total |
-----------------------|-----------|-----------|-----------|
FALSE Count | 11 | 12 | 23 |
Row % | 47.826% | 52.174% | 46.000% |
Column % | 39.286% | 54.545% | |
Total % | 22.000% | 24.000% | |
-----------------------|-----------|-----------|-----------|
TRUE Count | 17 | 10 | 27 |
Row % | 62.963% | 37.037% | 54.000% |
Column % | 60.714% | 45.455% | |
Total % | 34.000% | 20.000% | |
-----------------------|-----------|-----------|-----------|
Column Total | 28 | 22 | 50 |
Column % | 56.000% | 44.000% | |
Large Sample
Test Statistic DF p-value
Stratum = female Chi Squared 0.12 1 0.729
Stratum = male Chi Squared 1.155 1 0.283
================================================================================
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