On 31/05/07, Anup Nandialath <[EMAIL PROTECTED]> wrote:
> oops forgot the example example
>
> try this line
>
> sqrt(mahalanobis(all, colMeans(predictors), cov(all), FALSE)
Hi and thanks for the reply Anup. Unfortunately, I had a look on the
example before posting but not much of a help... I did so
Hi, I am not sure I am using correctly the mahalanobis distnace method...
Suppose I have a response variable Y and predictor variables X1 and X2
all <- cbind(Y, X1, X2)
mahalanobis(all, colMeans(all), cov(all));
However, my results from this are different from the ones I am getting
using another
Thank you all for your replies they have been more useful... well
in my case I have chosen to do some parametric tests (more precisely
correlation and linear regressions among some variables)... so it
would be nice if I had an extra bit of support on my decisions... If I
understood well from al
On 25/05/07, Frank E Harrell Jr <[EMAIL PROTECTED]> wrote:
> [EMAIL PROTECTED] wrote:
> > Hi all,
> >
> > apologies for seeking advice on a general stats question. I ve run
> > normality tests using 8 different methods:
> > - Lilliefors
> > - Shapiro-Wilk
> > - Robust Jarque Bera
> > - Jarque Bera
Hi all,
apologies for seeking advice on a general stats question. I ve run
normality tests using 8 different methods:
- Lilliefors
- Shapiro-Wilk
- Robust Jarque Bera
- Jarque Bera
- Anderson-Darling
- Pearson chi-square
- Cramer-von Mises
- Shapiro-Francia
All show that the null hypothesis that
Is it possible to conduct part (also called semi-partial correlation)
with R. The help.search produces no results and there is also nothing
into the archive, well one post asking what is part correlation. Just
quickly from Field [Discovering statistics using spss]:
"When we do a partial correlatio
Hi,
after reading the archives I found some methods... adopted and
modified one of them to the following. I think it is correct after
checking and comparing the results with other software... but if
possible someone could have a look and spot any mistakes I would be
grateful. Thanks
pcor3 <- func
On 18/05/07, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
>
> Hi,
>
> among the many (5) methods that I found in the list to do partial
> correlation in the following two that I had a look I am getting different
> t-values. Does anyone have any clues on why is that? The source code is
> below. Than
Hi,
among the many (5) methods that I found in the list to do partial
correlation in the following two that I had a look I am getting different
t-values. Does anyone have any clues on why is that? The source code is
below. Thanks.
pcor3 <- function (x, test = T, p = 0.05) {
nvar <- ncol(x)
nd
Hi,
on a
> summary(lm(y~x))
are the computed t-values for two.sided or one.sided. By looking on some
tables they seem like they are for two.sided. Is it possible to have them
for one.sided? If this makes sense...
Thanks.
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On 09/05/07, Prof Brian Ripley <[EMAIL PROTECTED]> wrote:
>
> On Wed, 9 May 2007, [EMAIL PROTECTED] wrote:
>
> > The code is:
> >
> > postscript(filename, horizontal=FALSE, onefile=FALSE, paper="special",
>
> You have not set a width or height, so please do your homework.
Thanks a lot for that an
Yes, I already had a look on previous posts but nothing is really helpful to
me.
The code is:
postscript(filename, horizontal=FALSE, onefile=FALSE, paper="special",
bg="white", family="ComputerModern", pointsize=10);
par(mar=c(5, 4, 0, 0) + 0.1);
plot(x.nor, y.nor, xlim=c(3,6), ylim=c(20,90), pch=
On 08/05/07, John Kane <[EMAIL PROTECTED]> wrote:
>
> Try ?locator
Thanks. Your tip also lead to another function: ?identify to add my two
cents.
--- [EMAIL PROTECTED] wrote:
>
> > Hi,
> >
> > is it possible to find the index of a point of a
> > plot (e.g. scatterplot) in
> > an easy way?
> >
>
Hi,
is it possible to find the index of a point of a plot (e.g. scatterplot) in
an easy way?
Eg.
x <- c(1:5); y <- c(1:5);
plot(x, y);
On the plot if I move my cursor on top of a point or click on it is it
possible to have its index printed or its exact value? Any clues?
Thanks.
[[alte
On 30/04/07, Y G <[EMAIL PROTECTED]> wrote:
>
> Hi,
>
> is this list only related to R issues or it has a broader context
> regarding questions and discussions about statistics. Is there any other
> email list or forum for that?
Well, just to quickly self-reply my question. From
http://www.r-proj
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