The t-test() function is used to determine that the mean of the two groups are equal or not.
In R, the t.test() function is used to perform t-tests. A t-test is a statistical test that is used to compare the means of two groups and determine if there is a significant difference between them. The t.test() function can be applied to both independent samples (two-sample t-test) and paired samples (paired t-test).

Here is a basic example of how to use t.test() in R for a two-sample t-test:
# Generate two random samples
set.seed(123)
group1 <- rnorm(20, mean = 10, sd = 2)
group2 <- rnorm(25, mean = 12, sd = 2)

# Perform a two-sample t-test
result <- t.test(group1, group2)

# Display the result
print(result)
This code generates two random samples, group1 and group2, and then performs a two-sample t-test using t.test(). The result contains various information, including the t-statistic, degrees of freedom, and p-value, which can be used to determine if there is a significant difference between the two groups.

Keep in mind that there are different variations of t-tests, and t.test() provides options for specifying whether the test is one-sided or two-sided, as well as for handling unequal variances. Refer to the R documentation for more details on the t.test() function and its parameters.