Thanks; that works!
Best,
Jane
On Mon, Jan 24, 2011 at 10:15 AM, Sarah Goslee wrote:
> R is doing just as you asked. If you look at the middle of c(x, x) the
> x values jump from 10 to -10 and R draws the line segment connecting
> them, as it's been told.
>
>> c(x,x)[195:205]
> [1] 9.4 9.5
R is doing just as you asked. If you look at the middle of c(x, x) the
x values jump from 10 to -10 and R draws the line segment connecting
them, as it's been told.
> c(x,x)[195:205]
[1] 9.4 9.5 9.6 9.7 9.8 9.9 10.0 -10.0 -9.9 -9.8 -9.7
You might rather have:
> x2.rev <- c(x, rev
I'm trying a bit of an experiment with polynomial curve fitting (don't
worry, I wouldn't do this to actual data -- it's just a toy model for
a specific question). When I generate a linear model of the data and
plot it using plot(), everything works fine. But when I use plot(...,
type="l") or lines(
Dear all,
I have an experimental design with two fixed factors and a blocking factor
(random) and I have data on several response variables for which I want to
perform a MANOVA.
After creating a matrix with the variables I want to be included in the MANOVA
with
> Y<-cbind(variableA, variab
