statsExpressions (version 0.3.1)

bf_corr_test: Bayesian correlation test.

Description

Bayesian correlation test.

Usage

bf_corr_test(
  data,
  x,
  y,
  bf.prior = 0.707,
  caption = NULL,
  output = "null",
  k = 2,
  ...
)

Arguments

data

A dataframe (or a tibble) from which variables specified are to be taken. A matrix or tables will not be accepted.

x

The column in data containing the explanatory variable to be plotted on the x-axis. Can be entered either as a character string (e.g., "x") or as a bare expression (e.g, x).

y

The column in data containing the response (outcome) variable to be plotted on the y-axis. Can be entered either as a character string (e.g., "y") or as a bare expression (e.g, y).

bf.prior

A numeric value between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes Factors.

caption

Text to display as caption (will be displayed on top of the Bayes Factor caption/message).

output

Can either be "null" (or "caption" or "H0" or "h0"), which will return expression with evidence in favor of the null hypothesis, or "alternative" (or "title" or "H1" or "h1"), which will return expression with evidence in favor of the alternative hypothesis, or "results", which will return a dataframe with results all the details).

k

Number of digits after decimal point (should be an integer) (Default: k = 2).

...

Currently ignored.

See Also

bf_contingency_tab, bf_oneway_anova, bf_ttest

Examples

# NOT RUN {
# for reproducibility
set.seed(123)

# to get caption (default)
bf_corr_test(
  data = anscombe,
  x = x1,
  y = y4,
  bf.prior = 1
)

# to see results
bf_corr_test(
  data = anscombe,
  x = x1,
  y = y4,
  bf.prior = 0.8,
  output = "results"
)
# }