Displaying 2 results from an estimated 2 matches for "mat50_s2".
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mat50_s1
2007 May 02
3
ED50 from logistic model with interactions
...family = binomial, data=dat)
where Mature is a binary response, 0 for immature, 1 for mature. There
are 3 Seasons.
The Season * Size interaction is significant. I would like to compare the
size at 50% maturity between Seasons, which I have calculated as:
Mat50_S1 <- -fit$coef[1]/fit$coef[4]
Mat50_S2 <- -fit$coef[2]/(fit$coef[4] + fit$coef[5])
Mat50_S3 <- -fit$coef[3]/(fit$coef[4] + fit$coef[6])
But I am not sure how to calculate the standard error around each of
these estimates. The p.dose function from the MASS package does this
automatically, but it doesn’t seem to allow interaction t...
2007 May 03
0
unscrible pls
...here Mature is a binary response, 0 for immature, 1 for mature. There
> are 3 Seasons.
>
> The Season * Size interaction is significant. I would like to compare the
> size at 50% maturity between Seasons, which I have calculated as:
>
> Mat50_S1 <- -fit$coef[1]/fit$coef[4]
> Mat50_S2 <- -fit$coef[2]/(fit$coef[4] + fit$coef[5])
> Mat50_S3 <- -fit$coef[3]/(fit$coef[4] + fit$coef[6])
>
> But I am not sure how to calculate the standard error around each of
> these estimates. The p.dose function from the MASS package does this
> automatically, but it doesn�t see...