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r - Calculate significance of correlation in grouped data with dplyr - LavOzs.Com
r dplyr pearson-correlation significance

I have grouped data, for which I would like to test several basic inference statistics.

```
library(tidyverse)
df <- data.frame(x=runif(50, min = 0, max = 25),y=runif(50, min = 10, max = 25), group=rep(0:1,25))
df %>%
group_by(group) %>%
summarize(cor(x,y))
```

Here I can easily get the correlation, but I also need to check it's statistical significance. Unfortunately options like `cor.test`

does not work in `dyplr`

. Is there an easy workaround?

Could this be what you want?

```
df %>%
group_by(group) %>%
summarize(cor.test(x,y)[["p.value"]])
```

The thing is that `cor.test()`

returns a list and not a single value, so you need to pick the element out of the list that you are interested in.

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