Displaying 5 results from an estimated 5 matches similar to: "asypow.noncent: how does it work?"
2018 Apr 25
1
Can't Get Lattice Histogram Minor Tick Marks to Work
Thanks Jeff,
I attached a file with the program to my earlier email because the posting guide seemed to imply that non-binary attachments would work. But I see that the file was stripped off.
I installed the program file on a web site, but when I downloaded it, the line breaks were stripped out. So I've included the program below:
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2018 Apr 25
0
Can't Get Lattice Histogram Minor Tick Marks to Work
Per the Posting Guide, why didn't you post the reproducible R code example?
On April 24, 2018 8:22:15 PM PDT, Donald Macnaughton <donmac at matstat.com> wrote:
>I'm drawing a paneled histogram using the lattice package. I've
>succeeded in
>adding minor tick marks to the vertical axis, but I can't get the
>desired
>number of minor tick marks between the major
2018 Apr 25
3
Can't Get Lattice Histogram Minor Tick Marks to Work
I'm drawing a paneled histogram using the lattice package. I've succeeded in
adding minor tick marks to the vertical axis, but I can't get the desired
number of minor tick marks between the major tick marks.
I've attached a self-contained program to illustrate the problem.
Thanks for your help,
Don Macnaughton
Here's my sessionInfo:
R version 3.4.3 (2017-11-30)
Platform:
2003 Aug 01
1
ncp t & Fortran error & power of some tests
Hi everybody, I have three questions to ask us:
a) R incorporates a function for the Non-central T
distribution which unfortunately and, as you know, is
not available in Splus 4.5. In
http://www.stats.ox.ac.uk/pub/Swin I found the Don
MacQueen?s noncent.zip but when I run it in Splus 4.5
the following error message appears: "Error in
.Fortran ("vectnc",: "VECTNC" is not a
2006 Mar 08
1
power and sample size for a GLM with Poisson response variable
Craig, Thanks for your follow-up note on using the asypow package. My
problem was not only constructing the "constraints" vector but, for my
particular situation (Poisson regression, two groups, sample sizes of
(1081,3180), I get very different results using asypow package compared
to my other (home grown) approaches.
library(asypow)
pois.mean<-c(0.0065,0.0003)
info.pois <-