Editing Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 8
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** glm(formula, family=binomial("logit")) | ** glm(formula, family=binomial("logit")) | ||
two things | two new things: | ||
* graphing residuals against fitted values (not just against different values of x) | * graphing residuals against fitted values (not just against different values of x) | ||
* discussing anova() better. The key thing I didn't talk about is about different types of "sum of squares" which are discussed in depth on [https://afni.nimh.nih.gov/sscc/gangc/SS.html this page hosted by the NIH]. By default, SPSS produces Type III standard errors although these [https://myowelt.blogspot.com/2008/05/obtaining-same-anova-results-in-r-as-in.html very frequently not what you want]. | * discussing anova() better. The key thing I didn't talk about is about different types of "sum of squares" which are discussed in depth on [https://afni.nimh.nih.gov/sscc/gangc/SS.html this page hosted by the NIH]. By default, SPSS produces Type III standard errors although these [https://myowelt.blogspot.com/2008/05/obtaining-same-anova-results-in-r-as-in.html very frequently not what you want]. | ||
** Getting the same results in R is easy enough though: library(car); Anova(fit, type="III") | ** Getting the same results in R is easy enough though: library(car); Anova(fit, type="III") | ||
