subtitle_anova_robust

0th

Percentile

Making text subtitle for the robust ANOVA (between-subjects designs).

Making text subtitle for the robust ANOVA (between-subjects designs).

Usage
subtitle_anova_robust(data, x, y, tr = 0.1, nboot = 100,
  conf.level = 0.95, conf.type = "norm", messages = TRUE, 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 grouping variable from the dataframe data.

y

The response (a.k.a. outcome or dependent) variable from the dataframe data.

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.

nboot

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

conf.level

Scalar between 0 and 1. If unspecified, the defaults 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.

messages

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

k

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

...

Additional arguments.

Aliases
  • subtitle_anova_robust
Examples
# NOT RUN {
# examples not executed due to time constraints
# }
# NOT RUN {
# for reproducibility
set.seed(123)

# going with the defaults
subtitle_anova_robust(
  data = ggplot2::midwest,
  x = state,
  y = percbelowpoverty,
  nboot = 10
)

# changing defaults
subtitle_anova_robust(
  data = ggplot2::midwest,
  x = state,
  y = percollege,
  tr = 0.2,
  nboot = 10
)
# }
Documentation reproduced from package ggstatsplot, version 0.0.10, License: GPL-3 | file LICENSE

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