auto.cor: Automatic selection, execution and visualization of...
In THChan11/autotest: Automatic inferential tests
auto.cor R Documentation
Automatic selection, execution and visualization of correlation between paired samples
Description
Plot scatter plots, QQ plots and select between Pearson's or Spearman's correlation coefficient tests
Usage
auto.cor(x, y, xname = deparse(substitute(x)), yname = deparse(substitute(y)))
Arguments
x
a continuous vector
y
a continuous vector
xname
name vector x and x axia of scatter plot
yname
name vector y and y axia of scatter plot
Note
#current version does not support formula arguments yet, please stay tuned to the package updates
Author(s)
Tsz-Hong Chan
Examples
#
auto.cor(subset(iris,iris$Species=='setosa')$Sepal.Length,subset(iris,iris$Species=='setosa')$Sepal.Width,xname = "Sepal Length",yname = "Sepal Width")
THChan11/autotest documentation built on June 11, 2025, 12:46 a.m.
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| auto.cor | R Documentation |
Automatic selection, execution and visualization of correlation between paired samples
Description
Plot scatter plots, QQ plots and select between Pearson's or Spearman's correlation coefficient tests
Usage
auto.cor(x, y, xname = deparse(substitute(x)), yname = deparse(substitute(y)))
Arguments
x |
a continuous vector |
y |
a continuous vector |
xname |
name vector x and x axia of scatter plot |
yname |
name vector y and y axia of scatter plot |
Note
#current version does not support formula arguments yet, please stay tuned to the package updates
Author(s)
Tsz-Hong Chan
Examples
#
auto.cor(subset(iris,iris$Species=='setosa')$Sepal.Length,subset(iris,iris$Species=='setosa')$Sepal.Width,xname = "Sepal Length",yname = "Sepal Width")
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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