ggcortest: Plot test for association between paired samples
In okgreece/gginference: Visualise the Results of Inferential Statistics using 'ggplot2'
ggcortest R Documentation
Plot test for association between paired samples
Description
Visualise test for association between paired samples,
using Pearson's product moment correlation coefficient.
Usage
ggcortest(t, colaccept="lightskyblue1", colreject="grey94",
colstat="navy")
Arguments
t
a list result of cor.test of "htest" class
colaccept
color the acceptance area of the test
colreject
color for the rejection area of the test
colstat
color for the test statistic vline
Examples
corr_test <- cor.test(iris$Sepal.Length, iris$Sepal.Width)
corr_test
ggcortest(corr_test)
okgreece/gginference documentation built on July 6, 2023, 10:02 a.m.
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| ggcortest | R Documentation |
Plot test for association between paired samples
Description
Visualise test for association between paired samples, using Pearson's product moment correlation coefficient.
Usage
ggcortest(t, colaccept="lightskyblue1", colreject="grey94",
colstat="navy")
Arguments
t |
a list result of |
colaccept |
color the acceptance area of the test |
colreject |
color for the rejection area of the test |
colstat |
color for the test statistic vline |
Examples
corr_test <- cor.test(iris$Sepal.Length, iris$Sepal.Width)
corr_test
ggcortest(corr_test)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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