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testdat
2016 Aug 07
1
problem with abine(lm(...)) for plot(y~x, log='xy')
Hello:
In the following plot, the fitted line plots 100 percent above
the points:
tstDat <- data.frame(x=10^(1:3), y=10^(1:3+.1*rnorm(3)))
tstFit <- lm(log(y)~log(x), tstDat)
plot(y~x, tstDat, log='xy')
abline(tstFit)
I can get the correct line with the following:
tstPredDat <- data.frame(x=10^seq(1, 3, len=2))
tstPred <- predict(tstFit, tstPredDat)
line...
2003 Jun 27
3
regression for several responses
hello,
I only want to get the slope of a linear regression of ca. 100 variables
against time.
I can do for each response (100 times)
var1.lm <- lm(response~predictor)
but I thought that there might be an easier way of doing this. If I am
including more variables it is doing a multiple regression and the output
(slope) differs.
any idea?
thanks Martin