Hi:
On Sat, Nov 5, 2011 at 11:06 PM, Kaiyin Zhong wrote:
> Thank you Dennis, your tips are really helpful.
> I don't quite understand the lm(y~mouse) part; my intention was -- in
> pseudo code -- lm(y(Enzyme) ~ y(each elem)).
As I said in my first response, I didn't quite understand what you
wer
Thank you Dennis, your tips are really helpful.
I don't quite understand the lm(y~mouse) part; my intention was -- in
pseudo code -- lm(y(Enzyme) ~ y(each elem)).
In addition, attach(d) seems necessary before using lm(y~mouse), and
since d$mouse has a length 125, while each elem for each region ha
Hi:
I don't think you want to keep these objects separate; it's better to
combine everything into a data frame. Here's a variation of your
example - the x variable ends up being a mouse, but you may have
another variable that's more appropriate to plot so take this as a
starting point. One plot us
> regions = c('cortex', 'hippocampus', 'brain_stem', 'mid_brain',
'cerebellum')
> mice = paste('mouse', 1:5, sep='')
> for (n in c('Cu', 'Fe', 'Zn', 'Ca', 'Enzyme')) {
+ assign(n, as.data.frame(replicate(5, rnorm(5
+ }
> names(Cu) = names(Zn) = names(Fe) = names(Ca) = names(Enzyme) = regions
Hi everyone,
I'm having trouble applying the Cor() function to two matrices, both of
which contain NAs. I am doing the following:
a<-cor(m1, m2, use="complete.obs")
... and I get the following error message:
Error in cor(m1, m2, use = "complete.obs") :
no complete element pairs
Does anyone
5 matches
Mail list logo
