Thanks for those who replied.
I know what a p-value is and the links given reaffirm my understanding.
The code below gives p=0.26. This is more than 0.05 - hence null
hypothesis i.e. attributed by chance.
But I did not specify the significance level at 0.05. So I'm wondering if
any part of the code states so. Or does R define significance level at
0.05 by default?
Thanks
--
Muhammad
On Mon, 31 Oct 2011, R. Michael Weylandt wrote:
I'm thinking you need to read up on what a p-value is:
https://secure.wikimedia.org/wikipedia/en/wiki/P-value
Michael Weylandt
On Mon, Oct 31, 2011 at 2:51 PM, Muhammad Rahiz
<muhammad.ra...@ouce.ox.ac.uk> wrote:
Hi everyone,
I'm trying to determine the significance of a trendline. From my internet
search months ago, I came across the following post. I modified tim and
dat for simiplicity.
tim <- 1:10
dat <- c(0.17, 1.09 ,0.11, 0.82, 0.23, 0.38 ,2.47 ,0.41 ,0.75, 1.44)
fstat <- summary(lm(dat~tim))$fstatistic
p.val <- 1-pf(fstat["value"],fstat["numdf"],fstat["dendf"])
The resultant p.value is 0.261. But I want to know if this
value is significant and at what significance level. How do I check for
it?
Thanks
--
Muhammad
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
