With format_ttest()
you can format t-tests generated from t.test()
and
wilcox.test()
output.
This is now an internal function superceded by format_stats()
, which we
recommend using instead.
Arguments
- x
An
htest
object fromcor.test()
,t.test()
, orwilcox.test()
.- digits
Number of digits after the decimal for means, confidence intervals, and test statistics.
- pdigits
Number of digits after the decimal for p-values, ranging between 1-5 (also controls cutoff for small p-values).
- pzero
Logical value (default = FALSE) for whether to include leading zero for p-values.
- full
Logical value (default = TRUE) for whether to include means and confidence intervals or just test statistic and p-value.
- italics
Logical value (default = TRUE) for whether p label should be italicized.
- dfs
Formatting for degrees of freedom ("par" = parenthetical, "sub" = subscript, "none" = do not print degrees of freedom).
- mean
Formatting for mean label ("abbr" = M, "word" = Mean).
- type
Type of formatting ("md" = markdown, "latex" = LaTeX).
See also
Other functions for printing statistical objects:
format_bf()
,
format_corr()
,
format_stats()
,
format_stats.BFBayesFactor()
,
format_stats.aov()
,
format_stats.easycorrelation()
,
format_stats.htest()
,
format_stats.lm()
,
format_stats.lmerModLmerTest()
,
format_stats.merMod()
Examples
format_stats(t.test(formula = mtcars$mpg ~ mtcars$vs))
#> [1] "_M_ = -7.9, 95% CI [-11.5, -4.4], _t_(22.7) = -4.7, _p_ < .001"