find_outliers: Find possible outliers in a dataset

In TiagoOlivoto/metan: Multi Environment Trials Analysis

Find possible outliers in a dataset

Description

Find possible outliers in the dataset.

Usage

find_outliers(
  .data = NULL,
  var = NULL,
  by = NULL,
  plots = FALSE,
  coef = 1.5,
  verbose = TRUE,
  plot_theme = theme_metan()
)

Arguments

.data	The data to be analyzed. Must be a dataframe or an object of class split_factors.
var	The variable to be analyzed.
by	One variable (factor) to compute the function by. It is a shortcut to dplyr::group_by(). To compute the statistics by more than one grouping variable use that function.
plots	If TRUE, then histograms and boxplots are shown.
coef	The multiplication coefficient, defaults to 1.5. For more details see ?boxplot.stat.
verbose	If verbose = TRUE then some results are shown in the console.
plot_theme	The graphical theme of the plot. Default is plot_theme = theme_metan(). For more details, see ggplot2::theme().

Author(s)

Tiago Olivoto [e-mail]

Examples

library(metan)

find_outliers(data_ge2, var = PH, plots = TRUE)

# Find outliers within each environment
find_outliers(data_ge2, var = PH, by = ENV)

TiagoOlivoto/metan documentation built on Oct. 16, 2024, 8:22 p.m.