problems using group_by with cor.test report

[mihinduk]

Describe the bug
I am unable to use tidyverse group_by and then pass data to corr.test and generate a report.

Error in match.arg(alternative) :
'arg' must be NULL or a character vector

To Reproduce
Steps to reproduce the behaviour:
Here is the bug reproduced with the iris dataset:
iris %>%
group_by(Species) %>%
cor.test(iris$Sepal.Length, iris$Sepal.Width) %>%
report() %>%
as.data.frame()

Expected behaviour
Pearson's product-moment correlation

Parameter1 | Parameter2 | r | 95% CI | t(148) | p

iris$Sepal.Length | iris$Sepal.Width | -0.12 | [-0.27, 0.04] | -1.44 | 0.152

Alternative hypothesis: two.sided

BUT per Species

Screenshots

Specifications (please complete the following information):
packageVersion("rstatix")
[1] ‘0.7.2’
packageVersion("stats")
[1] ‘4.2.2’
packageVersion("easystats")
[1] ‘0.7.1’
packageVersion("report")
[1] ‘0.5.8’

[bwiernik]

cor.test() doesn't support grouped data frames. You would need to use a workflow that splits the data into separate frames by Species, such as with split() and lapply(). Or easier, use the correlation::correlation() function, which does support grouped data frames.