The number you need for MSE is
sum(residuals(model)^2)/df.residual(model)
On Wed, Sep 4, 2024 at 3:34 PM Daniel Lobo wrote:
>
> Hi,
>
> I am trying to replicate the R's result for VCV matrix of estimated
> coefficients from linear model as below
>
> data(mtcars)
> model <- lm(mpg~disp+hp, data=m
Hi,
I am trying to replicate the R's result for VCV matrix of estimated
coefficients from linear model as below
data(mtcars)
model <- lm(mpg~disp+hp, data=mtcars)
model_summ <-summary(model)
MSE = mean(model_summ$residuals^2)
vcov(model)
Now I want to calculate the same thing manually,
library(
For lattice::dotplot(), you are close; this is more like the layout you
want:
dotplot(Year ~ ptile | reorder(Population, ptile, mean), testLong,
groups = c("0-50", "50-90", "90-100")[time],
layout = c(1, NA),
par.settings = simpleTheme(pch = 16), auto.key = TRUE)
dotchart(
Hello, I am trying to make a Cleaveland Dotplot with two, if possible
three, variables on the vertical axis. I was able to do it in Stata
with two variables, Year and Population (see graph at the link:
https://drive.google.com/file/d/1SiIfmmqk6IFa_OI5i26Ux1ZxkN2oek-o/view?usp=sharing
). I hope the
Thanks both Bert and Martin,
However exkmns2$centers is common in posit.cloud - LAPACK version 3.9.0- and
in Windows -LAPACK 3.12.0-, while distinct with my Linux settings -LAPACK
version 3.11.0- (I don't know the BLAS version used by R in windows). It is a
bit strange...
Iago
> Bert Gunter
> on Tue, 3 Sep 2024 23:32:25 -0700 writes:
> I have no clue, but I did note that you are using different versions of
> BLAS/LAPACK on the different platforms. Could that be (part) of the issue?
Good catch! My gut feeling would say "yes!" that is almost surely
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