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

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

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

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:

c[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?)

>Solution :

The output from t.test() is a list.

To access the confidence intervals use c$conf.int[1] & c$conf.int[2]

Example:

c<-t.test(1:10, y = c(7:20))  
out$conf.int
#[1] -11.052802  -4.947198
#attr(,"conf.level")
#[1] 0.95
out$conf.int[1]
#[1] -11.0528
out$conf.int[2]
#[1] -4.947198