ggstatsplot (version 0.0.7)

subtitle_t_robust: Making text subtitle for the robust t-test (between- and within-subjects designs).

Description

Making text subtitle for the robust t-test (between- and within-subjects designs).

Usage

subtitle_t_robust(data, x, y, tr = 0.1, paired = FALSE, nboot = 100,
  conf.level = 0.95, conf.type = "norm", k = 2, messages = TRUE,
  ...)

Arguments

data

Dataframe from which variables specified are preferentially to be taken.

x

The grouping variable.

y

The response - a vector of length the number of rows of x.

tr

Trim level for the mean when carrying out robust tests. If you get error stating "Standard error cannot be computed because of Winsorized variance of 0 (e.g., due to ties). Try to decrease the trimming level.", try to play around with the value of tr, which is by default set to 0.1. Lowering the value might help.

paired

a logical indicating whether you want a paired t-test.

nboot

Number of bootstrap samples for computing effect size (Default: 100).

conf.level

A scalar value between 0 and 1. If unspecified, the default is to return 95% lower and upper confidence intervals (0.95).

conf.type

A vector of character strings representing the type of intervals required. The value should be any subset of the values "norm", "basic", "perc", "bca". For more, see ?boot::boot.ci.

k

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

messages

Decides whether messages references, notes, and warnings are to be displayed (Default: TRUE).

...

Additional arguments (ignored).

Examples

# NOT RUN {
# with defaults
subtitle_t_robust(
  data = sleep,
  x = group,
  y = extra
)

# changing defaults
subtitle_t_robust(
  data = ToothGrowth,
  x = supp,
  y = len,
  nboot = 10,
  k = 1,
  tr = 0.2
)

# within-subjects design
ggstatsplot::subtitle_t_robust(
  data = dplyr::filter(
    ggstatsplot::intent_morality,
    condition %in% c("accidental", "attempted"),
    harm == "Poisoning"
  ),
  x = condition,
  y = rating,
  paired = TRUE,
  nboot = 25
)
# }