Hi.
I know that R computes sums of squares based on the diagonal of
t(Q) %*% y %*% t(y) %*% Q,
where Q comes from the QR-decomposition of the model matrix.
Does anyone know where I can find a proof for this result?
All Best and Happy New Year,
Ethan
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Consider the following missing data problem:
y = c(1, 2, 2, 2, 3)
a = factor(c(1, 1, 1, 2, 2))
b = factor(c(1, 2, 3, 1, 2))
fit = lm(y ~ a + b)
anova(fit)
Analysis of Variance Table
Response: y
Df Sum Sq Mean SqF valuePr(F)
a 1 0.8 0.8 1.3637e+33 2.2e-16
Hi.
I want to use the text() command to produce graphics text in the (Windows)
font Tahoma, but I don't know how to do this. I appreciate any
suggestions/ideas you may have.
All Best,
Ethan
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