On Sat, 2006-09-23 at 01:37 -0400, Ethan Johnsons wrote:
> How do you change the Y-axis from 0 ~ 0.6?
plot(..., ylim = c(0, 0.6))
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Maciej Bliziński
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culator/correlation-regression.htm
[2] http://www.answers.com/topic/standard-error-of-the-estimate
[3] http://www.answers.com/topic/standard-error-of-the-regression-coefficient
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Maciej Bliziński <[EMAIL PROTECTED]>
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On Sun, 2006-09-10 at 20:36 +0100, Prof Brian Ripley wrote:
> > I am however interested in areas where the probability of success is
> > noticeably higher than 5%, for example 20%. I've tried rpart and the
> > weights option, increasing the weights of the success-observations.
>
> You are 'misl
seem to be cloned success-observations.
I'd like to split the tree just as weights parameter allows me to,
keeping the original number of observations in the tree plot. Is it
possible? If yes, how?
Kind regards,
Maciej
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Maciej Bliziński <[EMAIL PROTECTED]&g
ooking at the demo(graphics), I can also recognize some unreadable
labels. Do you think it's only the matter of the X-Window system?
Installed fonts? Any hints appreciated.
Regards,
Maciej
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caith.png
Description: PNG
quot;to some degree". Is there already a test in R that does that?
Can you recommend a relevant reading?
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0 -0.4043 -0.3330 -0.2023 1.7060
Can you give me any hints?
Regards,
Maciej
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Thanks a lot for the answers (prof Ripley and Ted).
I'm trying to analyze a survey. Most of the variables are of factor
type, with values for example {"no_at_all", "a_little", "mostly",
"a_lot"}.
I thought about mapping those answers to numbers, but I didn't know what
numbers should I assign them
Hello,
I'd like to create a model with a factor-type response variable. This is
an example:
> mydata <- data.frame(factor_var = as.factor(c(rep('one', 100), rep('two',
> 100), rep('three', 100))), real_var = c(rnorm(150), rnorm(150) + 5))
> summary(mydata)
factor_var real_var
one
n=AttachFile&do=get&target=TwoFactorResiduals.png
This was from using "plot(model_object)" which produces 4 plots at
once. Can I fix it somehow?
I already tried googling, and searching R maillist archives and didn't
find a relevant discussion.
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Maciej Bliziński W
Hello,
I'm new to the list, hello everybody! :-)
I have a question. I looked carefully through the documentation and
googled, and found no answer, so I'm posting it here.
Let's say I have a data frame with lots of columns (about 300), which
are factors. Many columns-factors have only one level
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