tadaa_t.test: Tadaa, t-Test!

In tadaatoolbox: Helpers for Data Analysis and Presentation Focused on Undergrad Psychology

Description

An extension for stats::t.test with added boni and tidy and/or pretty output. The result is either returned as a broom::tidy data.frame or prettified using various pixiedust::sprinkle shenanigans.

Usage

tadaa_t.test(
  data,
  response,
  group,
  direction = "two.sided",
  paired = FALSE,
  var.equal = FALSE,
  conf.level = 0.95,
  print = c("df", "console", "html", "markdown")
)

Arguments

data	A data.frame.
response	The response variable (dependent).
group	The group variable, usually a factor.
direction	Test direction, like alternative in t.test.
paired	If TRUE, a paired test is performed, defaults to FALSE.
var.equal	If set, passed to stats::t.test to decide whether to use a Welch-correction. Default is FALSE to automatically use a Welch-test, which is in general the safest option.
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 data.frame by default, otherwise dust object, depending on print.

See Also

Other Tadaa-functions: tadaa_aov(), tadaa_chisq(), tadaa_kruskal(), tadaa_levene(), tadaa_nom(), tadaa_one_sample(), tadaa_ord(), tadaa_pairwise_tukey(), tadaa_pairwise_t(), tadaa_wilcoxon()

Examples

set.seed(42)
df <- data.frame(x = runif(100), y = sample(c("A", "B"), 100, TRUE))
tadaa_t.test(df, x, y)

df <- data.frame(x = runif(100), y = c(rep("A", 50), rep("B", 50)))
tadaa_t.test(df, x, y, paired = TRUE)

tadaa_t.test(ngo, deutsch, geschl, print = "console")

Example output

# A tibble: 1 x 13
  estimate estimate1 estimate2 statistic     se parameter conf.low conf.high
     <dbl>     <dbl>     <dbl>     <dbl>  <dbl>     <dbl>    <dbl>     <dbl>
1  -0.0512     0.496     0.547    -0.841 0.0609        98   -0.172    0.0696
# ... with 5 more variables: p.value <dbl>, d <dbl>, power <dbl>, method <chr>,
#   alternative <chr>
# A tibble: 1 x 13
  estimate estimate1 estimate2 statistic     se parameter conf.low conf.high
     <dbl>     <dbl>     <dbl>     <dbl>  <dbl>     <dbl>    <dbl>     <dbl>
1   0.0326     0.457     0.424     0.485 0.0671        49   -0.102     0.167
# ... with 5 more variables: p.value <dbl>, d <dbl>, power <dbl>, method <chr>,
#   alternative <chr>
Table 1: **Two Sample t-test** with alternative hypothesis: $\mu_1 \neq \mu_2$

   Diff $\\mu_1$ M<U+00E4>nnlich $\\mu_2$ Weiblich     t   SE  df
1 -1.03                     7.09              8.12 -4.11 0.25 248
     $CI_{95\\%}$      p Cohen\\'s d Power
1 (-1.53 - -0.54) < .001       -0.52  0.98

tadaatoolbox documentation built on July 2, 2020, 2:30 a.m.