outliers_remove: Remove outliers

In inti: Tools and Statistical Procedures in Plant Science

Remove outliers

Description

Use the method M4 in Bernal Vasquez (2016). Bonferroni Holm test to judge residuals standardized by the re scaled MAD (BH MADR).

Usage

outliers_remove(data, trait, model, drop_na = TRUE)

Arguments

data	Experimental design data frame with the factors and traits.
trait	Name of the trait.
model	The fixed or random effects in the model.
drop_na	drop NA values from the data.frame

Details

Function to remove outliers in MET experiments

Value

list. 1. Table with date without outliers. 2. The outliers in the dataset.

References

Bernal Vasquez, Angela Maria, et al. “Outlier Detection Methods for Generalized Lattices: A Case Study on the Transition from ANOVA to REML.” Theoretical and Applied Genetics, vol. 129, no. 4, Apr. 2016.

Examples

library(inti)

rmout <- outliers_remove(
  data = potato
  , trait ="stemdw"
  , model = "0 + treat*geno + (1|bloque) + geno"
  , drop_na = FALSE
  )

rmout
  

inti documentation built on Oct. 27, 2023, 9:06 a.m.