summs_models: Compare factor effects from multiple models and visualize the...

In toledo60/OACD: Orthogonal Array Composite Designs

Description

Compare factor effects from multiple models and visualize the difference in absolute value T statistics to check for model performances

Usage

summs_models(models, model.names)

Arguments

models	a list of models to compare
model.names	a vector of names for the models in format of "model1"

Value

summary output between models, and ggplot to compare models consistency

Examples

m1 <- lm(ybar~(A+B+C)^2,data =AEL_dat)
m2 <- lm(ybar~(A+B)^2,data =AEL_dat)

models <- list(m1,m2)
models.names <- c("Model1","Model2")
summs_models(models,models.names)

toledo60/OACD documentation built on Feb. 15, 2021, 2:25 a.m.