ttest {mverse}

Performs one or two sample t-tests on data columns.

Description

ttest_mverse performs t-tests across the multiverse. If x or y is specified, then performs one and two sample t-tests on specified columns of the data. If both x and y are NULL, then performs t.test based on the formula branches.

Usage

ttest_mverse(
  .mverse,
  x = NULL,
  y = NULL,
  alternative = "two.sided",
  mu = 0,
  paired = FALSE,
  var.equal = FALSE,
  conf.level = 0.95
)

Arguments

.mverse

a mverse object.

x

(optional) column name of data within mverse object

y

(optional) column name of data within mverse object

alternative

a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". You can specify just the initial letter.

mu

a number indicating the true value of the mean (or difference in means if you are performing a two sample test).

paired

a logical indicating whether you want a paired t-test.

var.equal

a logical variable indicating whether to treat the two variances as being equal.

conf.level

confidence level of the interval.

Value

A ttest_mverse object.

Examples

# Performing a unpaired two sample t-test.
mv <- mverse(soccer)
x <- mutate_branch(
  ((rater1 + rater2) / 2) > mean((rater1 + rater2) / 2),
  ifelse(rater1 > rater2, rater1, rater2) >
    mean(ifelse(rater1 > rater2, rater1, rater2))
)
y <- mutate_branch(
  redCards, yellowCards, yellowReds
)
two_sample_form <- formula_branch(y ~ x)
mv <- mv %>%
  add_mutate_branch(x, y) %>%
  add_formula_branch(two_sample_form)
ttest_mverse(mv)