On 06.08.2016 17:30, Duncan Murdoch wrote:
On 06/08/2016 10:18 AM, Martin Maechler wrote:
Dear R-devel readers,
( = people interested in the improvement and development of R).
This is not the first time that this topic is raised.
and I am in now state to promise that anything will result from
This is an example from
https://stat.ethz.ch/pipermail/r-help/2007-May/132573.html .
With R 2.7.2:
> a <- c(1, 1, 2, 2, NA, 3); b <- c(2, 1, 1, 1, 1, 1)
> table(a, b, exclude = NULL)
b
a 1 2
11 1
22 0
31 0
1 0
With R 3.3.1:
> a <- c(1, 1, 2, 2, NA, 3); b <- c(2,
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:
tstPredDa
Try log10()...
-pd
> On 07 Aug 2016, at 21:03 , Spencer Graves wrote:
>
> 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,
