For glm() models, I often find both the print() and summary() method
disappointing if my main interest
is seeing how well a given model fits. A basic display would just
compare the null model to to my model.
I wrote the function below based on code in some package.
How can I make it so that the df in the table are printed with 0 decimals?
# display basic model fit statistics for a glm object
modelFit.glm <-
function (x, digits = max(3, getOption("digits") - 3), ...)
{
dev <- c(x$null.deviance, x$deviance )
df <- c(x$df.null, x$df.residual)
table <- data.frame(dev, df, c(NA, 1-pchisq(x$deviance, x$df.residual)),
row.names=c("Null model", "Model"))
dimnames(table) <- list(c("Null model", "Model"), c("Deviance", "df",
"Pr(>Chi^2)"))
title <- paste("Analysis of Deviance Table", "\n\tFormula: ",
deparse(x$formula), "\n")
structure(table, heading = title, class = c("anova", "data.frame"))
}
berkeley <- as.data.frame(UCBAdmissions)
berk.mod2 <- glm(Freq ~ Dept * (Gender+Admit), data=berkeley,
family="poisson")
> modelFit.glm(berk.mod2)
Analysis of Deviance Table
Formula: Freq ~ Dept * (Gender + Admit)
Deviance df Pr(>Chi^2)
Null model 2650.10 23.00
Model 21.74 6.00 0.001352 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
>
--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept.
York University Voice: 416 736-5115 x66249 Fax: 416 736-5814
4700 Keele Street http://www.math.yorku.ca/SCS/friendly.html
Toronto, ONT M3J 1P3 CANADA
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