How to extract lower and upper bounds from confidence level in R from t test function?

Question

I used the following code to retrieve a confidence level for my data:

out <- t.test(my_data$my_col, conf.level = 0.95)
out

This returns something like:

data:  my_data$my_column
t = 30, df = 20, p-value < 2.1e-14
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
 62.23191 80.11201
sample estimates:
mean of x 
 75.10457 

I've tried doing:

out[4][1]

But this returns:

$conf.int
[1]  62.23191 80.11201
attr(,"conf.level")
[1] 0.95

How do I specifically get the lower bound and upper bound from this respectively? (i.e. how do I extract 62.23191 and 80.11201 as variables?)

Answer 1

you can use the broom package not sure if it is more efficient than accepted answer but it is another option.

library(broom)

tidy(t.test(1:10, y = c(7:20),conf.int = TRUE)

 estimate estimate1 estimate2 statistic   p.value parameter conf.low conf.high method                  alternative
     <dbl>     <dbl>     <dbl>     <dbl>     <dbl>     <dbl>    <dbl>     <dbl> <chr>                   <chr>      
1       -8       5.5      13.5     -5.43 0.0000186      22.0    -11.1     -4.95 Welch Two Sample t-test two.sided