Effect plot in R

 library(effects)x1 <- predictorEffect("x6", model)plot(x1)x2 <- predictorEffect("x2", model) plot(x2, main="model COVID 19",xlab="X2", ylab="x")  #single plotplot(allEffects(model)) #all p...

model summary in R

 # check that model is good fit or notwith(model, cbind(res.deviance = deviance, df = df.residual,                   p = pchisq(deviance, df.residual, lower.tail=FALSE)))## odds ratios and 95% CI ***********exp(cbind(OR = coef(model), confint(model)))# MORE SUMMARIES ###########################################anova(model)       ...

Poisson lognormal regression model in R

 library(PLNmodels)library(ggplot2)library(corrplot)Y=read.csv(choose.files())X=read.csv(choose.files())c=list(Y,X)names(c) <- c("output", "input")d <- prepare_data(c$output, c$input)model <- PLN(Abundance ~              LANE_WIDTH     ...

p value for any statistical model using R

 #2 tailed z testz<- coef(model)/standard_error(model)p<- (1-pnorm(abs(z),0,1))*2p        #pva...