remove_outliers {inti} | R Documentation |
Remove outliers using mixed models
Description
Use the method M4 in Bernal Vasquez (2016). Bonferroni Holm test to judge residuals standardized by the re scaled MAD (BH MADR).
Usage
remove_outliers(data, formula, drop_na = FALSE, plot_diag = FALSE)
Arguments
data |
Experimental design data frame with the factors and traits. |
formula |
mixed model formula. |
drop_na |
drop NA values from the data.frame |
plot_diag |
Diagnostic plot based in the raw and clean data |
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 <- potato %>%
remove_outliers(data = .
, formula = stemdw ~ 0 + (1|bloque) + treat*geno
, plot_diag = FALSE
, drop_na = FALSE
)
rmout
[Package inti version 0.6.6 Index]