On Fri, 8 Aug 2003, Nurnberg-LaZerte wrote:
I'm trying to get predict.lm() to return an NA for each NA row in it's
input vector, so the output is the same length as the input.
Don't call predict.lm directly, please. Use predict().
I thought that using na.action=na.exclude with lm() would do
Dear all,
I'm working with grouped data using the nlme package
in R. By using the function plot() I'm trying to
obtain a trellis-like graph but by default a legend is
placed on top of the plot. How can I remove this
legend?
Thanks for any hint
Christian Mora
__
Hi,
I try to use R2HTML to make output. It is very good for this.
I have this HTML output:
-- HTMLStart(HTMLframe=F,echo=T) -
as.title(Comment one)
Comment one
summary(1)
Table of the summary 1 here
as.title(Comment two)
Comment two
summary(2)
Table of
Actually, demo matches the `topic' as a regular expression, that is
anywhere in the file basename and with certain characters being special.
So
demo(^logit)
will probably work (it does work for the system demos).
Clearly that is too sopisticated (and not documented). For the next
release I
On Mon, 04-Aug-2003 at 09:28AM -0700, Thomas Lumley wrote:
| On 4 Aug 2003, Peter Dalgaard BSA wrote:
|
|
| Hmm, on linux, I get approx 0.31 for the first example with 1.7.0,
| 1.7.1, r-patched, and r-devel. Similarly, I get 0.8 for the second ex.
| in all four cases.
|
|
| I also find a
On 6 Aug 2003 at 19:58, anne wrote:
It is not very clear what you want. For fitting distributions like
you mentiones, the easiest way for you is maximum likelihood
via fitdistr() in package MASS:
library(MASS)
?fitdistr
x - rweibull(100, shape=3, scale=2)
fitdistr(x, dweibull,
Hi,
I have the same problem and have attempted to look through the list and find a reply
with the answer but could not seem to find one.
My problem seems slightly more confusing. If I and running R as root, the following
works
library(RMySQL)
m - dbDriver(MySQL)
con -
Dear R users,
This is more a statistical question rather than an R question. I'd
appreciate it if you can give me some suggestions.
I have a sample of a time series (sample size 500, fat tail in density). I
am trying to calculate the Standard error of standard deviation of a
sub-block-sample
Hi
How do I install gregmisc packages?
I did-
% sudo R
install.packages(gregmisc)
.
.
barplot2()
but,
Error: couldn't find function barplot2
--
atuya
Mac OSX 10.2.6
R 1.7.1
__
[EMAIL PROTECTED] mailing list