Hi all,
Several time ago I used to work with R, now I´m returning to study and work
and searching old file I see that I used this code:
gfhist<-hist(gf,plot=FALSE)
par(mar=c(6,0,6,6))
barplot(gfhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray")
grid()
title("Marginal Distribution La
On Sep 26, 2015, at 9:59 AM, Haida wrote:
> I received below messages during the installation Rattle. please help,
> thank you
>
> Warning in install.packages :
> error 1 in extracting from zip file
> Warning in install.packages :
> cannot open compressed file 'rJava/DESCRIPTION', probable rea
I received below messages during the installation Rattle. please help,
thank you
Warning in install.packages :
error 1 in extracting from zip file
Warning in install.packages :
cannot open compressed file 'rJava/DESCRIPTION', probable reason 'No such
file or directory'
Error in install.package
Also:
https://cran.r-project.org/web/views/Survival.html
https://www.youtube.com/watch?v=1Mt7EuVJf1A
http://gking.harvard.edu/files/gking/files/0s.pdf?m=1360039053
http://biostat.mc.vanderbilt.edu/wiki/pub/Main/RmS/rms.pdf
---
Giorgio Garziano
__
R-he
You may not be a statistician, but you should at least learn about the
calculations you are making. You cannot expect to convince others that
your calculations are right just because "Peter on the internet said they
were right".
To give you a gentle push in this direction, I have reproduced th
Michael:
You appear to be laboring under the illusion that a single numeric
summary (**any summary**)is a useful measure of model adequacy. It is
not; for details about why not, consult any applied statistics text
(e.g. on regression) and/or post on a statistics site, like
stats.stackexchange.com.
On Sep 26, 2015, at 6:48 AM, Michael Eisenring wrote:
> Thank you very much Kristina,
>
> Unfortunately that’s not what I am looking for.
>
> I am just very surprised if there would be no possibility to get the
> significance codes for Kruskal Wallis (I would have suggested that this is a
> p
> On 26 Sep 2015, at 16:46 , Michael Eisenring wrote:
>
> Dear Peter,
> Thank you for your answer.
> If I look at my summary I see there a Residual standard error: 1394 on 53
> degrees of freedom.
> This number is very high (the fit of the curve is pretty bad I know but
> still...). Are you sure
Dear Peter,
Thank you for your answer.
If I look at my summary I see there a Residual standard error: 1394 on 53
degrees of freedom.
This number is very high (the fit of the curve is pretty bad I know but
still...). Are you sure the residual standard error given in the summary is
the same as the on
Thank you very much Kristina,
Unfortunately that’s not what I am looking for.
I am just very surprised if there would be no possibility to get the
significance codes for Kruskal Wallis (I would have suggested that this is a
pretty common test.)
I found another option called kruskal() which
Peter
Thanks for the explanation. One further comment — you wrote:
> I don't think the FDA "requests" XPT files
In fact, they do make such a request. Here is the actual language received
this week (and repeatedly in the past):
> Program/script files should be submitted using text files (*.TXT
Hi Mark,
You might find the eventInterval package of use.
Jim
On Sat, Sep 26, 2015 at 8:33 AM, markshanks
wrote:
> Hi,
>
> I have only a relatively basic background in statistics (e.g., anova,
> regression), and the books on R I have read so far have focused on
> relatively common statistical
Dennis,
The invalid multibyte issue is almost certainly a symptom of being in a UTF-8
locale and trying to handle strings that aren't in UTF-8. (UTF uses particular
8 bit patterns to say that the following k bytes contain a Unicode value
outside ASCII, other "8 bit ASCII" encodings, like Latin-
This is one area in which terminology in (computational) statistics has gone a
bit crazy. The thing some call "standard error of estimate" is actually the
residual standard deviation in the regression model, not to be confused with
the standard errors that are associated with parameter estimates
Hi,
I may suggest the following book introducing event history analysis with R and
showing some datasets to work with:
https://www.crcpress.com/Event-History-Analysis-with-R/Brostrm/9781439831649
I am not sure it can answer all your questions about your specific problem
(rare events),
however i
15 matches
Mail list logo