t_results: Results of t-test in APA standard

In DominikVogel/vogelR: My personal package with all my selfmade functions

Description

Function to print results of a t-test in APA standard (t(df) = t; p = p)

Usage

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

Arguments

x	a numeric vector or a factor (grouping variable)
y	a numeric vector (dependent variable)
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). Default is 0.
conf.level	Confidence level of the interval. Default is 0.95.
paired	a logical indicating whether you want a paired t-test. Default is FALSE.
var.equal	a logical variable indicating whether to treat the two variances as being equal. If TRUE then the pooled variance is used to estimate the variance otherwise the Welch (or Satterthwaite) approximation to the degrees of freedom is used. Default is FALSE.

Value

t(df) = t; p = p

Author(s)

Dominik Vogel

Examples

set.seed(1)
df <- data.frame(happy = c(rnorm(n = 10, mean = 3, sd = 0.5),
rnorm(n = 10, mean = 4, sd = 0.5)),
                 treatment = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
                               1, 1, 1, 1, 1, 1, 1, 1, 1, 1))

t_results(y = df$happy, x = df$treatment)

DominikVogel/vogelR documentation built on May 23, 2019, 4:12 p.m.