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III
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indeed doesn't exist, but why should
it?)
Thank you,
Christian
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to make about the non-outliers in the dataset (which should be
elliptically distributed and homogeneously close to a multivariate
normal distribution for the Mahalanobis approach).
Best,
Christian
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Christian Hennig
Sendt: 8. august 2005 14:45
Til: alessandro carletti
Cc: rHELP
Emne: Re: [R] selecting outliers
Hi Alessandro,
On Mon, 8 Aug 2005, alessandro carletti wrote:
Hi everybody,
I'd like to know if there's an easy way for extracting outliers record
from a dataset, in order
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... try something...). Look if the
problem vanishes after such rescaling.
Don't ask me the same about the second email - I don't have the time to
explain that in detail.
Sorry,
Christian
thanks,
weiwei
On 8/8/05, Christian Hennig [EMAIL PROTECTED] wrote:
Once I had a situation where
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be surprised if cosine index is missing (and
if needed, I could write it for you in C, but I don't think that is
necessary).
Generation of the standard dist format out of a distance
matrix m works simply by as.dist(m).
Christian
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to implement but it's for
explanation to people who faint if they have to do their own
programming...
Christian
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confint(lm(weight ~ group))
2.5 %97.5 %
(Intercept) 4.569340 5.4946602
groupTrt-1.025300 0.2833003
Christian Hennig wrote:
Hi list,
is there any direct way to obtain confidence intervals for the regression
slope from lm, predict.lm or the like
and the
print method (print.summary.foo) should print an overview of the result.
But in some cases the print method will make use of more or less all the
output information of the function. Is there any reason to implement a
summary method in these cases?
Best,
Christian
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, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax: +44 1865 272595
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and provide commented, minimal, self-contained, reproducible code.
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want 2 clusters for example.
Am I also right in thinking that I can say which 'centriods' I want the
clustering to be done?
You can specify from which centroids the kmeans iteration should start, if
you want to.
Christian
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here?
Best,
Christian
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, but
answers are still appreciated because I rather created a rough
workaround than solved it).
What can I do to get better information about what caused the problem in
my Rd files?
Best,
Christian
*** --- ***
Christian Hennig
University College London, Department of Statistical Science
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file.
This helped me to find the problem (a mathematical formula not using
\eqn{})!
Lieber Gruss zurueck,
Christian
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...
Best,
Christian
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solutions
which involve installing all packages again (I know that this is possible).
Best,
Christian
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Giraudoux
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on the non-outliers is close to the normal and especially not
strongly skewed (the boxplot method
seems to be a bit more robust against skewness).
Christian
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# unregpoints: ignore...
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###
ich
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to print a 0.000, i.e.
without any significant decimal places.
Is it possible to do this somehow in R?
Thanks,
Christian
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Hi,
is there a test for the H0 skewness=0 (or with skewness as test
statistic and normality as H0) implemented in R?
Thank you,
Christian
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fit on one
page? (If I would draw them by hand, no problem...)
Best,
Christian
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From 1 April
The first try with mar=c(1,1,1,1) does the job!
Thanks,
Christian
On Mon, 21 Feb 2005, Liaw, Andy wrote:
You may want to set par(mar, oma) to something small, or start the device
(which one are you using?) with large enough dimension, or both.
Andy
From: Christian Hennig
Hi
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From 1 April 2005: Department of Statistical Science, UCL, London
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. is there some arguement that goes with rnorm?
please supply an example
regards
Allan
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From 1
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From 1 April 2005: Department of Statistical Science, UCL
in the model?
Thanks,
Christian
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From 1 April 2005: Department of Statistical Science, UCL
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print(sum(estest11))
[1] 5575
binom.test(5575,1)
Exact binomial test
data: 5575 and 1
number of successes = 5575, number of trials = 1, p-value
2.2e-16
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of a certain
size?
What clustering method did you apply and why?
How would you like to specify the size of your clusters (and why)?
Best,
Christian
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clustering..and i may have to
consider using a different method,
...there are often good reasons for hierarchical clustering, so if
you know what you are doing, do not let the others confuse you..
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; distances between the regions are not available.)
Christian
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. There is an equivalent to the k-means target
criterion in terms of distances, and that uses squared Euklidean
distances. However, as far as I know, you cannot compute it directly in
R for any other distance. Using pam is the thing which comes closest.
Christian Hennig
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, orientation, and distribution.
My impression though is that people think in terms of the covariance structure.
Where are these terms even defined?
Anyway, thanks for your help. Any insight would be greatly appreciated.
Ken
Christian Hennig [EMAIL PROTECTED] wrote:
Dear Ken,
in principle
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)?
It seems that neither ks.test nor chisq.test handle estimated parameters.
I am aware of function goodfit in package vcd, which seems to it for some
discrete distributions.
Thank you for help,
Christian
***
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,
Christian
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###
ich
a) Thank you, this works.
b) I meant qqmath, not qqnorm (you realized that).
Christian
On Fri, 2 Jul 2004, Deepayan Sarkar wrote:
On Friday 02 July 2004 09:00, Christian Hennig wrote:
Hi list,
I produced a trellis graphic with qqnorm (R-package lattice, no
changes in graphical
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you want
to do) - an MDS method alone could be enough for you
(cmdscale, if you want to do something analogous to PCA).
Best,
Christian
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that are slightly out-of-topic.
Many thanks.
Kevin
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There is a library sem for structural equation models.
Best,
Christian Hennig
On Mon, 15 Sep 2003, Catherine Stein wrote:
Can anyone help me find a R script that does path analysis with family
data (like a Beta model)? A script that takes the variance-covariance
matrix in as input would
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would appreciate any reference
or pointer.
Regards
Vishal
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,
Christian
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,
please tell me...)
Best,
Christian
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)
UseMethod(lda, x, ...)
}
which isn't very helpful.
Any ideas about how to perform an unscaled canonical variates analysis?
Cheers,
Murray
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,
University College Cork
Ireland
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of the method.
Christian Hennig
On Fri, 7 Mar 2003, Pierre-Olivier Chasset wrote:
Hello,
I would like to calculate a cluster analysis and I use the function 'hclust'.
I have seen the GRAPHICAL results of this function with 'plot'.
I would like to analyse this cluster but I don't know how
have
been somewhat sceptical more than once if this is correct.
Can all this be explained with Windows/Linux differences or what else may
happen here?
Best,
Christian
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as the
choice of the best clustering method.
Best,
Christian
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Hi,
I am plotting a matrix/data frame with 10 variables by pairs. Is it
possible to add another 10-dimensional point afterwards by something like
points does for two-dimensional plots?
Best,
Christian
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me what goes wrong now?
Best,
Christian
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(testgroups),classwt=c(0.49,0.02,0.49))
x1rf$test$confusion
12 3 class.error
1 9948 35 20 0.00549835
2 170 1823 0 0.08529854
3 4390 65 0.87103175
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possible, I am not sure.
With regards,
Arnav
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and '70s), or if
GiampS there are new indexes and methods I could include in
GiampS my study. I would really appreciate if you could
GiampS point me to some newer references addressing this problem.
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clustering).
Christian
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ich empfehle www.boag-online.de
Hi,
I have run rpart to construct a regression tree. Is there any simple
method to draw a nice picture of it, as it is usually done in books and
paper to visualize the tree?
Thank you,
Christian
***
Christian Hennig
Fachbereich
***
Christian Hennig
Fachbereich Mathematik-SPST/ZMS, Universitaet Hamburg
[EMAIL PROTECTED], http://www.math.uni-hamburg.de/home/hennig/
###
ich empfehle www.boag-online.de
major1
minor8.0
year 2003
month10
day 08
language R
***
Christian Hennig
Fachbereich Mathematik-SPST/ZMS
Hi,
Martin Maechler told me that the following is an ESS and not an R-problem,
which can be solved (inside ESS) by
C-u C-h C-v sammon
Outside ESS, the problem does not occur (which I had not tried out
before).
Thanks,
Christian
On Fri, 16 Apr 2004, Christian Hennig wrote:
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