Hi,
I am facing problem for classification based on graph kernels. we calculated
the kernel between two molecule data set.Then I am confused about
classification
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> Date: Tue, 1 Mar 2011 02:41:00 -0800
> From: joo...@hanmail.net
> To: r-help@r-project.org
> Subject: [R] Is there any Command showing correlation of all variables in a
> dataset?
>
>
> Thanks in advance.
>
> I want to derive correlations of va
Matt:
Thanks for your prompt reply.
The disparity between the bootstrap and sandwich variance estimates
derived when modeling the highly skewed outcome suggest that either
(A) the empirical robust variance estimator is underestimating the
variance or (B) the bootstrap is breaking down. The boots
Dear all,
I am facing a problem. I am trying to install packages using a proxy, but I
am not able to call the setInternet2 function, either with the small or
capital s. What package do I have to call then? And, could there be a reason
why this does not function?
Thanks,
Marco
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Hello there,
I have a problem concerning bootstrapping in R - especially focusing on the
resampling part of it. I try to sum it up in a simplified way so that I would
not confuse anybody.
I have a small database consisting of 20 observations (basically numbers from 1
to 20, I mean: 1, 2, 3, 4,
Thanks in advance.
I want to derive correlations of variables in a dataset
Specifically
library(Ecdat)
data(Housing)
attach(Housing)
cor(lotsize, bathrooms)
this code results only the correlationship between two variables.
But I want to examine all the combinations of variables in this dataset
Dear R-help,
This is an example in the {Hmisc} manual under rcorr.cens function:
> set.seed(1)
> x <- round(rnorm(200))
> y <- rnorm(200)
> round(rcorr.cens(x, y, outx=F),4)
C IndexDxy S.D. nmissing
uncensored Relevant Pairs Concordant
Hello,
for testing coefficients of lm(), I wrote the following function (with
the kind support of this mailing list):
# See Verzani, simpleR (pdf), p. 80
coeff.test <- function(lm.result, idx, value) {
# idx = 1 is the intercept, idx>1 the other coefficients
# null hypothesis: coeff = value
On Tue, 1 Mar 2011, Santosh Srinivas wrote:
for excel .. see library(xlsx)
(That's for Excel >= 2007 only, .xlsx not .xls are requested.)
Simply consult the relevant manual, 'R Data Import/Export': all of
this is covered there. There is a very new package XLConnect that is
only covered in
On 11-02-28 11:17 PM, Jeroen Ooms wrote:
I am trying to encode arbitrary S3 objects by recursively looping over the
object and all its attributes. However, there is an unfortunate feature of
the attributes() function that is causing trouble. From the manual for
?attributes:
The names of a pairli
Hi,
It is a bit unclear what it is you are trying to do, as mentioned in
replies by a variety of people previously, if you are just trying to get
your data into R and label rows / columns, then
tt = matrix(c(24,134,158,9,52,61,23,72,95,12,15,27),ncol=3,byrow=T)
rownames(tt) = c("None", "Healthy"
Hello Everyone
I have just upgraded my PC to Windows 7 (64 bit) and I have installed R
2.12.2. R seems to be working fine.
I am having problems getting RWinEdt working with it though.
I have tried installing WinEdt 6.0 and WinEdt 5.5. But both fail with the
same error using R as 64 bit or 32 bit
for excel .. see library(xlsx)
On Tue, Mar 1, 2011 at 2:57 PM, JoonGi wrote:
>
> Thanks in advance.
>
> I'm having a trouble with data saving.
>
> I want to run the same data which is in Ecdat library at different statistic
> programs(excel, stata and matlab)
>
> The data I want to use is
>
> lib
Thanks in advance.
I'm having a trouble with data saving.
I want to run the same data which is in Ecdat library at different statistic
programs(excel, stata and matlab)
The data I want to use is
library(Ecdat)
data(Housing)
and I want to extract this data our of R as *.dta *.xls formats.
So,
Hi Again,
Thanks very much for your response. It seems my example got rearranged
(transposed?) after I posted it. Hopefully this example will be more
clear. I have one file (ex. sheet 1) that will have a column for
individuals (ind) and a column for the date (date). I would like to merge
this
Hi:
This is *really* ugly, but given the number of variables you have in mind,
it seems rather necessary, at least to me.
# Given an original data frame dataf, find the max ID number:
Mvars <- names(dataf)[grep('^M', names(dataf))]
# Pick out the number of variables that start with M:
n <- max(as
Well, knowing how your data looks like would definitely help!
Say your data object is called "mydata", just paste the output from
dput(mydata) into the email you want to send to the list.
Ivan
Le 3/1/2011 04:18, bwaxxlo a écrit :
I tried looking for help but I couldn't locate the exact solutio
Hi Laura,
Have you read this documentation
http://cran.r-project.org/doc/manuals/R-data.pdf ? If not, you should.
Specifically, see read.table() and read.csv().
When you'll have this, you can look for functions that can import xls or
xlsx spreadsheets directly, but you're not that far yet.
T
Hello,
I think to use FastICA package for microarray data clusterization,
but one question stops me: can I know how much variance explain each
component (or all components together) ?
I will be very thankful for the help.
Thanks,
Pavel
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Hi,
I've been working with R the past few days in trying to get a proper table set
up but have not had any luck at all and the manuals I've read have not worked
for me either. I was wondering if anyone here would be able to help me in
setting this data up in R both as a table and as a bargrap
I tried looking for help but I couldn't locate the exact solution.
I have data that has several variables. I want to do several sample
simulations using only two of the variables (eg: say you have data between
people and properties owned. You only want to check how many in the samples
will come up
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