This is a wrapper around z.test, which in itself is a weird thing to use, but why not.

tadaa_z.test(data, x, y, sigma_x, sigma_y, direction = "two.sided",
  paired = FALSE, conf.level = 0.95, print = c("df", "console",
  "html", "markdown"))

Arguments

data

A data.frame containing variables.

x, y

A bare name of a numeric variable in data.`

sigma_x, sigma_y

Numeric. Known variances of x and y.

direction

Test direction, like alternative in t.test.

paired

If TRUE, a paired test is performed, defaults to FALSE.

conf.level

Confidence level used for power and CI, default is 0.95.

print

Print method, default df: A regular data.frame. Otherwise passed to pixiedust::sprinkle_print_method for fancyness.

Value

A pixiedust::dust object or data.frame.`

Examples

set.seed(192) df <- data.frame(lefties = rnorm(10, mean = 5, sd = 2), righties = rnorm(10, mean = 5.5, sd = 2.5)) tadaa_z.test(data = df, x = lefties, y = righties, sigma_x = 2, sigma_y = 2.5, print = "console")
#> Table 4: **Two Sample z-test** with alternative hypothesis: $\mu_1 \neq \mu_2$ #> #> Diff $\\mu_1$ lefties $\\mu_2$ righties z SE df $CI_{95\\%}$ p #> 1 -1.51 4.88 6.4 -2.26 0.67 18 (-2.83 - -0.2) < .05 #> Cohen\\'s d #> 1 -1.01 #> #>