On Sat, May 18, 2013 at 7:05 AM, Stephen Milborrow mi...@sonic.net wrote:
Paul Johnson pauljoh...@gmail.com wrote:
m1 - lm(log(y) ~ log(x), data = dat)
termplot shows log(y) on the vertical. What if I want y on the vertical?
plotmo in the plotmo package has an inverse.func argument,
so
Paul Johnson pauljoh...@gmail.com wrote:
m1 - lm(log(y) ~ log(x), data = dat)
termplot shows log(y) on the vertical. What if I want y on the vertical?
plotmo in the plotmo package has an inverse.func argument,
so something like the following might work for you?
library(MASS)
library(plotmo)
This is an R formula handling question. It arose in class. We were working
on the Animals data in the MASS package. In order to see a relationship,
you need to log brain and body weight. It's a fun one for teaching
regression, if you did not try it yet. There are outliers too!
Students wanted
Paul,
Inverting log(y) is just the beginning of the problem, after that you need to
teach predict.lm() that E(y |x) = exp(x'betahat + .5*sigmahat^2) and then
further
lessons are required to get it to understand how to adapt its confidence and
prediction bands… and then you need to generalize
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