I want to combine these two functions:
`dataframe %$%
t.test(vector1, vector2, paired = T)
dataframe %$%
cohen.d.(vector1, vector2, paired = T)`
into something that requires the data.frame only once like this:
`dataframe %$%
t.test(vector1, vector2, paired = T)
cohen.d.(vector1, vector2, paired = T)`
Just make a list with the two things in it:
attitude %$% list(t.test(rating, complaints), cohen.d(rating, complaints))
[[1]]
Welch Two Sample t-test
data: rating and complaints
t = -0.5970993, df = 57.53962, p-value = 0.5527835
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-8.560849235 4.627515902
sample estimates:
mean of x mean of y
64.63333333 66.60000000
[[2]]
Cohen's d
d estimate: -0.1541703764 (negligible)
95 percent confidence interval:
inf sup
-0.6717788229 0.3634380702