Correlation with p-values

Source: R/corr.R

This function gives you a mean with 95 percent CIs

corr(df, var1, var2)

Arguments

df

Name of the Dataset
var1

First variable
var2

Second variable

Examples


x <- c(1, 2, 3, 7, 5, 777, 6, 411, 8)
y <- c(11, 23, 1, 4, 6, 22455, 34, 22, 22)
z <- c(34, 3, 21, 4555, 75, 2, 3334, 1122, 22312)

test <- data.frame(x,y,z) %>% as.tibble()
#> Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
#> This warning is displayed once per session.

test %>%
 filter(z > 10) %>%
 corr(x,y)
#> # A tibble: 1 x 8
#>   estimate statistic p.value     n conf.low conf.high method         alternative
#>      <dbl>     <dbl>   <dbl> <int>    <dbl>     <dbl> <chr>          <chr>      
#> 1    0.288     0.673   0.531     5   -0.594     0.856 Pearson's pro~ two.sided