plot.OpenStatsComplementarySplit: plot for an 'OpenStatsComplementarySplit' object

In mpi2/OpenStats: A Robust and Scalable Software Package for Reproducible Analysis of High-Throughput genotype-phenotype association

plot for an 'OpenStatsComplementarySplit' object

Description

This function visualises an 'OpenStatsComplementarySplit' object

Usage

 ## S3 method for class 'OpenStatsComplementarySplit'
plot(x, main = "Final Model", ask = FALSE, mfrow = c(2, 2), ...)

Arguments

x	an instance of 'OpenStatsComplementarySplit' result
main	a string to be pasted to the title of the plots
ask	see 'ask' in 'par()' function. Default FALSE
mfrow	the screen partition. see 'mfrow' argument in the 'par' function. Default c(2,2) then all plots display in one screen.
...	other parameters that can be passed to the 'plot' function

Details

The plot function creates some visualisations for the split results from the linear mixed model framework. Each level of partitioning variables (see 'variables' in the 'OpenStatsComplementarySplit' function manual) produces a set of plots listed below:

- Residual versus fitted values
- Residual density plot and the normality test p-value
- Residual Q-Q plot
- The density plot of the response variable and the normality test p-value

Value

Not applicable

Author(s)

Hamed Haseli Mashhadi <[e-mail]>

See Also

OpenStatsComplementarySplit, print.OpenStatsComplementarySplit, summary.OpenStatsComplementarySplit

Examples

example(OpenStatsComplementarySplit)

mpi2/OpenStats documentation built on Sept. 17, 2022, 3:58 p.m.