You mentioned the boot package, I've just stumbled across a package
called simpleboot, with a function lm.boot. Would this be suitable - it
says I can sample cases from the origional dataset, as well as from the
residuals of a model. Not all the options I understand but I assume the
defaults mi
Ok I'll check I understand:
So it's using sample, to resample d once, 10 values, because the rnorm
has 10 values, with replacement (I assume thats the TRUE part).
Then a for loop has this to resample the data - in the loop's case its
1000 times. Then it does a lm to get the coefficients and add
Axolotl9250 wrote:
>
> ...
> resampled_ecoli = sample(ecoli, 500, replace=T)
> coefs = (coef(lm(MIC. ~ 1 + Challenge + Cleaner + Replicate,
> data=resampled_ecoli)))
> sd(coefs)
>
> ...
>
Below a simplified and self-consistent version of your code, and some
changes
Dieter
# resample
d = dat
Hi, I'm doing some modelling (lm) for my 3rd year dissertation and I
want to do some resampling, especially as I'm working with microbes,
getting them to evolve resistance to antimicrobial compounds, and after
each exposure I'm measuring the minimum concentration required to kill
them (which I'
4 matches
Mail list logo
