Dear s-ers,
When I fit a model using glm (e.g. low birth weight dataset, V&R pp
234-235), I found the results when stating this option:
options(contrasts=c("contr.treatment", "contr.poly"))
exactly the same as in the book:
Coefficients:
Value Std. Error t value
(Intercept) 0.82301258 1.244073209 0.6615467
age -0.03723398 0.038677748 -0.9626718
lwt -0.01565297 0.007075944 -2.2121383
raceblack 1.19240920 0.535745758 2.2256998
raceother 0.74068107 0.461460949 1.6050785
smoke 0.75552501 0.424764466 1.7786916
ptd 1.34376082 0.480444518 2.7969115
ht 1.91316170 0.720434406 2.6555668
ui 0.68019467 0.464215580 1.4652560
ftv1 -0.43637856 0.479161054 -0.9107138
ftv2+ 0.17900705 0.456209017 0.3923795
BUT... when I do not state this option, the results are:
Coefficients:
Value Std. Error t value
(Intercept) 3.72790660 1.344892247 2.7718998
age -0.03723398 0.038677748 -0.9626718
lwt -0.01565297 0.007075944 -2.2121383
race1 0.59620460 0.267872879 2.2256998
race2 0.04815882 0.144406014 0.3334960
smoke 0.37776250 0.212382233 1.7786916
ptd 0.67188041 0.240222259 2.7969115
ht 0.95658085 0.360217203 2.6555668
ui 0.34009734 0.232107790 1.4652560
ftv1 -0.21818928 0.239580527 -0.9107138
ftv2 0.13239878 0.148931932 0.8889885
QUestion: Why do we need to state the option in order to get the correct
result?
Best regards,
Arsad
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