outlier_df

0th

Percentile

Adding a column to dataframe describing outlier status.

This function is mostly helpful for internal operations of some of the functions in this package.

Usage
outlier_df(data, x, y, outlier.label, outlier.coef = 1.5, ...)
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.

outlier.label

Label to put on the outliers that have been tagged.

outlier.coef

Coefficient for outlier detection using Tukey's method. With Tukey's method, outliers are below (1st Quartile) or above (3rd Quartile) outlier.coef times the Inter-Quartile Range (IQR) (Default: 1.5).

...

Additional arguments.

Aliases
  • outlier_df
Examples
# NOT RUN {
# adding column for outlier and a label for that outlier
ggstatsplot::outlier_df(
  data = morley,
  x = Expt,
  y = Speed,
  outlier.label = Run,
  outlier.coef = 2
) %>%
  dplyr::arrange(outlier)
# }
Documentation reproduced from package ggstatsplot, version 0.0.11, License: GPL-3 | file LICENSE

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