How to use | R Documentation |
This package generates the following plots for Generalized Linear Model diagnostics: Q-Q plot, Residuals vs Fitted, Histogram of Residuals and Cook's distance plot.
modeldiagnostic1(x) modeldiagnostic2(x)
x |
GLM model. |
varY<-c(0,10,20,30,40,50,20,30,43,28) varX1<-c(0,11,22,31,44,50,24,34,12,45) varX2<-c("A","B","A","B","C","C","A","B","C","A") data<-data.frame(varY,varX1,varX2) fit <- glm( varY ~ varX1 * varX2, data = data ) modeldiagnostic1(fit) modeldiagnostic2(fit)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.