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Cardeal [EMAIL PROTECTED] wrote:
Ok. I´ve already tried ?lines. An example:
x - c(1,2,3,4,5,6)
y - c(3,5,2,4,1,4)
z - c(2,3,4,3,2,1)
plot(x,y)
lines(x,y)
lines(x,z)
Here is the point: how to show the points under the second line (x,z) ?
Thanks
Mauricio
David Barron escreveu:
?lines
.
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Of course, aggregate will work too, depends on how you want the output
to be formatted. You could also look at summarize in the Hmisc
package.
On 20/09/06, David Barron [EMAIL PROTECTED] wrote:
Sorry, that should have been package gdata, not gtools...they're both
in the same bundle, though
.
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of the real experts, or just someone more wide awake, can probably
come up with something better!
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I means non-zero, not non-negative.
On 11/09/06, David Barron [EMAIL PROTECTED] wrote:
The function download.file (invisibly) returns a non-negative integer
if it fails, so I suppose you could use this as a test.
On 11/09/06, Gregor Gorjanc [EMAIL PROTECTED] wrote:
Hello useRs!
I have
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79 10733
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grateful!
David
-Original Message-
From: Ted Harding [mailto:[EMAIL PROTECTED]
Sent: Fri 9/16/2005 14:31
To: E-Mail
Cc: David Barron
Subject:Re: [R] column-binary data
On 16-Sep-05 jim holtman wrote:
Each card column had 12 rows, so as binary it comes in as 12 bits
I have a number of datasets that are multipunch column-binary format. Does
anyone have any advice on how to read this into R? Thanks.
David
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Since the recent update to package lme4, I now get an error when trying to
print the results using lmer to obtain model estimates for anything other
than a liner mixed model. For example,
(fm1 - lmer(decrease ~ treatment + (1|rowpos) +
(1|colpos),family=poisson(),
Have a look at ?optim. I don't think it has the BHHH algorithm as an
option, though.
===
David Barron
Jesus College
University of Oxford
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Behalf Of Harold Doran
Sent: 10 July
Either use lset(col.whitebg()) to change a range of settings, including the
background colour to white.
Or, if you really only want to change the background colour, something like
b - trellis.par.get(background)
b$col - white
trellis.par.set(background,b)
should do the trick.
David
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