l == lagreene lagreene...@gmail.com
on Fri, 15 May 2009 04:22:59 -0700 (PDT) writes:
l Thanks Jorge,
l but I still don't understand where they come from. when I use:
l fitdistr(mydata, t, df = 9) and get values for m and s, and the
variance
l of my data should be the
On Fri, May 15, 2009 at 6:22 AM, lagreene lagreene...@gmail.com wrote:
Thanks Jorge,
but I still don't understand where they come from. when I use:
fitdistr(mydata, t, df = 9) and get values for m and s, and the variance
of my data should be the df/s?
I jsut want to be able to confirm how
In addition to seeing the code by typing the name of the function
(and copying it from there into a file), you can also enter
debug(fitdistr), for example. Then the next time you use fitdistr,
either directly or indirectly, it puts you in the environment of that
function, and you can
Thanks Jorge,
but I still don't understand where they come from. when I use:
fitdistr(mydata, t, df = 9) and get values for m and s, and the variance
of my data should be the df/s?
I jsut want to be able to confirm how m and s are calculated
mydt - function(x, m, s, df) dt((x-m)/s, df)/s
Hi,
I was wondering if anyone could tell me how m and s are calculated for a t
distribution?
I thought m was the sample mean and s the standard deviation- but obviously
I'm wrong as this doesn'y give the same answer.
Thank you
--
View this message in context:
Dear lagreene,
See the second example in
require(MASS)
?fitdistr
HTH,
Jorge
On Thu, May 14, 2009 at 7:15 PM, lagreene lagreene...@gmail.com wrote:
Hi,
I was wondering if anyone could tell me how m and s are calculated for a t
distribution?
I thought m was the sample mean and s the
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