search for: mat50

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2007 May 02
3
ED50 from logistic model with interactions
...it <- glm(Mature ~ Season * Size - 1, 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,...
2007 May 03
0
unscrible pls
...- 1, 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...