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?)
CodePudding user response:
The output from t.test()
is a list. The confidence interval is stored as a vector within the $conf.int list element.
To access the individual confidence intervals use c$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