Learn R: t-tests

Loading Packages

haven

if (!require(haven)){
  install.packages("haven", dependencies = TRUE)
  library(haven)
}

tidyverse

if (!require(tidyverse)){
  install.packages("tidyverse", dependencies = TRUE)
  library(tidyverse)
}

Import Data

SAV

dataset.sav <- read_sav ("Harry Potter Data.sav")

t-test

t.test(formula = FFM_1~ CoinFlip,
       data = dataset,
       var.equal = FALSE)

    Welch Two Sample t-test

data:  FFM_1 by CoinFlip
t = -2.419, df = 76.753, p-value = 0.01793
alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
95 percent confidence interval:
 -1.0412385 -0.1009527
sample estimates:
mean in group 1 mean in group 2 
       3.307692        3.878788