For the record, v6 represented the averages for columns v3-v5 because
I could not quickly find the r instruction to calculate the average.
Similiarly v7 represents square power of v2. At the time it was
quicker than trawling through five or so user manuals for the formula
syntax.
Hi
Maybe you shall reconsider your decision to avoid manuals especially
R-intro.pdf, where you can learn basic operations and data structures.
[EMAIL PROTECTED] napsal dne 16.05.2008 09:52:22:
For the record, v6 represented the averages for columns v3-v5 because
I could not quickly find the
On Thu, 2008-05-15 at 14:50 +0100, e-letter wrote:
2008/5/15 Douglas Bates [EMAIL PROTECTED]:
Did you happen to notice the part at the bottom of every message about
provide commented, minimal, self-contained, reproducible code?
Sorry, don't understand what that statement means in my
Readers,
Using version 251 I tried the following command:
lm(y~a+b,data=datafile)
Resulting in, inter alia:
...
coefficients
(intercept) a
1.2 3.4
Packages installed:
acepack ace() and avas() for selecting regression
transformations
adlift
Did you happen to notice the part at the bottom of every message about
provide commented, minimal, self-contained, reproducible code?
Considering that the result you quote from 251 has 2 coefficients
and the result from 171 has 3 coefficients one might contemplate the
possibility that you are
Hi,
To get help with this problem, you will have to create an example that
others can duplicate. That is why each message to the list says (at
the bottom): PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained,
2008/5/15 Douglas Bates [EMAIL PROTECTED]:
Did you happen to notice the part at the bottom of every message about
provide commented, minimal, self-contained, reproducible code?
Sorry, don't understand what that statement means in my context.
Considering that the result you quote from 251 has
Professor Kubovy
As you instructed, below is the command terminal output:
sessionInfo()
R version 2.5.1 (2007-06-27)
i586-mandriva-linux-gnu
locale:
e-letter inpost at gmail.com writes:
2008/5/15 Douglas Bates bates at stat.wisc.edu:
Did you happen to notice the part at the bottom of every message about
provide commented, minimal, self-contained, reproducible code?
Sorry, don't understand what that statement means in my context.
On 15/05/2008, Michael Kubovy [EMAIL PROTECTED] wrote:
Hi,
Your reply doesn't help you with your lm() problem. You need to show the
problem with lm() as well. Your original message was unclear on what is
wrong.
The problem I have with lm() is that when I enter this command, I
obtain
On Thu, May 15, 2008 at 3:05 PM, e-letter [EMAIL PROTECTED] wrote:
Using version 251 I tried the following command:
lm(y~a+b,data=datafile)
Resulting in, inter alia:
...
coefficients
(intercept) a
1.2 3.4
[...]
When using version 171 I entered the same command:
On 16/05/2008, at 7:23 AM, e-letter wrote:
Well, I sought a statistician who showed me how to do this task using
mathematica. Despite advice otherwise,
You are certainly getting bad advice!
I am interested to learn how to
perform this basic task using r because it's free and and
Below is direct copy from command terminals of both pcs (mandrake 92
with r 171; mandriva 2008 with r 251, respectively).
R : Copyright 2003, The R Development Core Team
Version 1.7.1 (2003-06-16)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under
On May 15, 2008, at 5:37 PM, e-letter wrote:
Below is direct copy from command terminals of both pcs (mandrake 92
with r 171; mandriva 2008 with r 251, respectively).
R : Copyright 2003, The R Development Core Team
Version 1.7.1 (2003-06-16)
R is free software and comes with ABSOLUTELY NO
On 16/05/2008, at 9:44 AM, Charilaos Skiadas wrote:
This is exactly why we asked you for a reproducible example and
full code. That last entry in the V6 column is 69.65667 in this
case, but 66.27667 in the other cases. So you clearly are working
with two slightly different dodgy files,
Thank you to all you eagle eyes; amendment made accordingly and solved. Not
sure how the difference occurred...
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R-help@r-project.org mailing list
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PLEASE do
Also, it's worth pointing out the reason for the numerical instability
of the parameter estimates: the predictors are nearly collinear.
(dubious - read.table('clipboard'))
V1 V2V3V4V5 V6 V7
1 1 300 39.87 39.85 39.90 39.87333 9
2 2 400 45.16 45.23 45.17 45.18667
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