# 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
``````

But this returns:

``````\$conf.int
  62.23191 80.11201
attr(,"conf.level")
 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` & `c\$conf.int`

Example:

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