=FALSE) # P
## or from the second row in the two way anova:
summary( aov(cChol ~ drug + dsource, data=zar) )
In order to avoid confussion in our students (and myself!) I wonder if we can
obtain the
desired results in one step?
Thank you in advance for your kind help.
Héctor
--
Héctor
Thanks to all who responded.
I've learn a lot from your comments. The best solution I can see is to use both
'missing()' and
'match.arg()' in my function.
Héctor
Hi,
I'm sure this one is very easy
I am trying to write a function where one of its arguments has two posible
(strings)
)) ){
stop(specify type of result 'simple' or 'complete')
} else {
res - rnorm(n)
res
}
Thanks for your time
Héctor
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Héctor Villalobos hvill...@ipn.mx
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A.P. 592. Col. Centro
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Tels. (+52 612) 122 53 44; 123 46 58; 123 47 34 ext
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
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Héctor Villalobos hvill
-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
Héctor Villalobos hvill...@ipn.mx
CICIMAR - IPN
A.P. 592. Col. Centro
La Paz, Baja California Sur, MÉXICO. 23000
Tels. (+52 612) 122 53 44; 123 46 58; 123 47 34 ext. 82425
Fax. (+52 612) 122
$period[3], f4=1/inip$period[4]) )
## not run. These two will be used in
res - nls(modl, data=data.frame(y, x), start=initP)
Thank you in advance for any insigth.
Héctor
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Héctor Villalobos hvill...@ipn.mx
CICIMAR - IPN
A.P. 592. Col. Centro
La Paz, Baja California Sur, MÉXICO
the
PCs. Anyway, thanks for the comment - and for designing
biplot.princomp.
Axel
--
Héctor Villalobos hvill...@ipn.mx
CICIMAR - IPN
A.P. 592. Col. Centro
La Paz, Baja California Sur, MÉXICO. 23000
Tels. (+52 612) 122 53 44; 123 46 58; 123 47 34 ext. 82425
Fax. (+52 612) 122 53 22
Thanks to Jim and Greg,
Concerning the colors of the arrows, color.scale() function from Jim's solution
seems more
straigthforward to me. I'm trying now to include a proper legend with
color.legend() function.
Héctor
On 20 Jan 2009 at 22:13, Jim Lemon wrote:
Héctor Villalobos wrote:
Dear
=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
[1] car_1.2-9 hdf5_1.6.7
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Héctor Villalobos hvill...@ipn.mx
CICIMAR - IPN
La Paz, Baja California Sur, MÉXICO
[[alternative HTML version
, reproducible code.
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Héctor Villalobos [EMAIL PROTECTED]
CICIMAR - IPN
La Paz, Baja California Sur, MÉXICO
[[alternative HTML version deleted]]
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PLEASE do read
Hi,
I'm trying to understand why the coefficients a and b for the model: W =
a*L^b estimated
via nls() differs from those obtained for the log transformed model: log(W) =
log(a) + b*log(L)
estimated via lm(). Also, if I didn't make a mistake, R-squared suggests a
better adjustment
for the
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