I'm interested in characterizing data from a one-dimensional point
process... say, testing for stationarity, or measuring the degree of
clustering at different length scales. This sounds like a spatial
statistics problem but the available tools all seem focused on 2+
dimensional data. Time
I'd like to get a measure of goodness of fit for a heirarchical
clustering result from hclust. Something that would indicate the
extent to which the dendrogram accurately represents the original
dissimilarity matrix. Is there an easy way to do this?
Or, does anyone have code for computing
Michael Toews [EMAIL PROTECTED] wrote:
Is there any way of keeping the attributes when subsetted from primitive
classes, like a fictional attr.drop option within the [ braces? The
best alternative I have found is to make a new object, and copy the
attributes:
tm2 - tm[3:5]
[EMAIL PROTECTED] wrote:
What I've done is to define a subclass that keeps attributes, that can
be added to any object, shown below. The keep.attr() function is
supposed to return just user attributes but I'm not sure if my list of
special ones is complete.
Sorry, the following version
Nathan Johnson [EMAIL PROTECTED] wrote:
I constructed a data frame with columns corresponding to the table
fields, and tried with and without a null column for the auto-
increment internal id column. I also tried renaming all the column
names to match those of the table fields. All of
Anna Pluzhnikov [EMAIL PROTECTED] wrote:
Hi everyone,
I'm using the function 'HWE.exact' of 'genetics' package to compute
p-values of the HWE test. My data set consists of ~600 subjects
(cases and controls) typed at ~ 10K SNP markers; the test is applied
separately to cases and controls.
Farrel Buchinsky [EMAIL PROTECTED] wrote:
2)Storing all the SNP data as a string seems quite clever and a space-saving
way of doing it. However, if you were to analyze a whole chromosome at a
time you would still be creating one almighty big table albeit only
temporarily. Do you use R to run
Farrel Buchinsky [EMAIL PROTECTED] wrote:
Bottom Line Up Front: How does one reshape genetic data from long to wide?
I avoid both your long and wide formats because they are awkward
and inefficient for large data sets. The long format wastes a huge
amount of space with redundant column values,
[EMAIL PROTECTED] wrote:
Take the following example:
a - rnorm(100)
b - trunc(3*runif(100))
g - factor(trunc(4*runif(100)),labels=c('A','B','C','D'))
y - rnorm(100) + a + (b+1) * (unclass(g)+2)
...
Here's a cleaned-up function to compute estimable within-group effects
for
Take the following example:
a - rnorm(100)
b - trunc(3*runif(100))
g - factor(trunc(4*runif(100)),labels=c('A','B','C','D'))
y - rnorm(100) + a + (b+1) * (unclass(g)+2)
m - lm(y~a+b*g)
summary(m)
Here b is discrete but not treated as a factor. I am interested in
In gmane.comp.lang.r.general Vittorio [EMAIL PROTECTED] wrote:
configuration warning:
Oracle pre-compiler proc not in
/usr/local/oracle8-client/bin/proc
you may not be able to compile
ROracle
You don't have the Oracle Pro*C precompiler installed. You can't
build ROracle without that.
Wang, Yan [EMAIL PROTECTED] wrote:
I run into the most weird problem I have ever met. I wrote a function
rhopair, which calls a .C function. I cannot assign its value to a
variable using either = nor -. After I did the assignment,
rhopair cannot reproduce the same result as before with the
Witold Eryk Wolski [EMAIL PROTECTED] wrote:
Adding f.value=fn as argument to qqmath reduces the size of the image,
but neither the axis (absicissae) nor the line added by panel.qqmathline
are right.
Adding f.value=fn as argument to panel.qqmathline and panel.qqmath
generates the right
nwew [EMAIL PROTECTED] wrote:
Dear R helpers,
I generate a qq plot using the following function call.
...
dim(xx)
[1] 680237 2
How about doing something like this:
fn - function(n,cut=0.001,m=1000)
{
p - ppoints(n)
p - p[pmin(p, 1-p) cut]
q -
Ariel Chernomoretz [EMAIL PROTECTED] wrote:
Hi,
I am trying to install the ROracle package in a Linux-64 machine.
I downloaded from Oracle's site their Instant Client bundle but it seems that
ROracle needs some stuff not included in that kit in order to compile (in
particuar, the 'proc'
Mathieu Drapeau [EMAIL PROTECTED] wrote:
I am using Linux Oracle Client 9i and I am running my R scripts on a
Linux box.
Does /usr/include/sqlca.h exist? This is a Postgres file. My hazy
memory is that this conflicts with an Oracle header; and that if
ROracle sees this one at compile time,
Mathieu Drapeau [EMAIL PROTECTED] wrote:
Thanks!!!
It is working now.
I'll look into whether ROracle can be tweaked to prevent this problem.
-- Dave
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read
Mathieu Drapeau [EMAIL PROTECTED] wrote:
Hi,
I just installed ROracle and RDBI. The connection to the database seems
to work also. My problem is when I am selection rows that really exist
in the database, it is returning nothing. Where should I look to see
what could be my problem?
What
Not sure if this belongs here or on the devel list:
I've needed a more efficient way to manipulate raw binary data in R,
with more than the minimal raw transformation functions in the base
package. So I've written a small package in C that effectively lets
me cast back and forth between raw
I've just upgraded to 2.0.1 and was taken by surprise by the changes
in graphical parameter handling for lattice plots. I'd previously
been using 1.9.1. The old settings seem to have been replaced by a
daunting number of new options. I've poked around a bit and have not
seen any discussion of
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