how to perform t-test in r

To perform a t-test in R, follow these steps:

1. First, load your data into R. You can use your own data set or use one of the built-in data sets in R.

2. Next, identify the variables you want to compare. In a t-test, you are comparing the means of two groups, so you need to have one variable that indicates the group membership and one variable that contains the values you want to compare.

3. Once you have your variables identified, you can perform the t-test using the t.test() function in R. The function takes two arguments: the first argument is the variable containing the group membership, and the second argument is the variable containing the values you want to compare.

Here is an example code for performing a two-sample t-test in R:

main.r
# Load data set
data(mtcars)

# Perform t-test to compare mean mpg for 6-cylinder and 8-cylinder cars
t.test(mpg ~ cyl, data = mtcars, var.equal = TRUE)
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In this example, we are comparing the mean mpg for cars with 6 cylinders and cars with 8 cylinders using the mtcars data set. The "mpg" variable contains the values we want to compare, and the "cyl" variable indicates the group membership. The "var.equal = TRUE" argument specifies that we want to assume equal variances between the two groups.

After running this code, R will output the results of the t-test, including the t-statistic, the degrees of freedom, and the p-value.