pe="b", cex = 2, pch = 16)
>
> This way, it will be easier to spot where data values are missing.
>
> HTH,
> Dennis
>
> On Thu, May 6, 2010 at 10:44 AM, Tao Shi> wrote:
>
>
>
> I just found out that my "does this by default" statement (by which
can do this. Now, I guess not.
...Tao
> From: maech...@stat.math.ethz.ch
> Date: Thu, 6 May 2010 18:34:22 +0200
> To: shi...@hotmail.com
> CC: ggrothendi...@gmail.com; r-help@r-project.org
> Subject: Re: [R] 'matplot' for matri
rg
>
> Try this:
>
> library(zoo)
> matplot(na.approx(b), type = "l")
>
> On Wed, May 5, 2010 at 2:30 PM, Tao Shi wrote:
>>
>> Hi list,
>>
>> I know that points involving NAs are not plotted in 'matplot', but when I
>> pl
Hi Max,
It looks like most of answers were towards to the statisticians you work with
(i.e. R -> Word). For yourself, if you just worry about converting the PDF
reports from your statisticians to Word, here is another link with a more
comprehensive review besides the two online apps Prof. Ha
Vincent,
The root of this problem seems to be that you don't fully understand the
differences between matrix and data.frame. Read up on them and you'll know how
to solve this problem.
For now:
as.matrix(temp[,-1])
or
temp = read.csv("Weather.csv", sep=",", row.names=1)
temp1 <- as.matrix(t
Hi list,
I know that points involving NAs are not plotted in 'matplot', but when I plot
them as lines, I still want the lines to connect all the points (i.e. not
broken where there are NAs). Please see the example below. How can I achieve
this in 'matplot'? If I can't, any good alternatives
Hi David and list,
I'm a little puzzled to see these results below. Since, "apply" is basically a
for loop, I was expecting "foreach" uses about same amount of time as apply,
whereas foreach after registering 2-cores runs much faster. However, the
results show apply is the fastest.
Also
download the source bundle when you downloaded REvolution R?
> You'll find them there. There's a link in the same email that gives
> instructions for downloading the binaries.
>
> # David Smith
>
> On Thu, Apr 29, 2010 at 12:48 PM, Tao Shi wrote:
>>
>> Hi D
we use for REvolution R. It is open source (GPL) so
> you're welcome to try compiling it under mingw yourself, but we can't
> offer support for that configuration.
>
> # David Smith
>
> On Wed, Apr 28, 2010 at 5:10 PM, Tao Shi wrote:
>> I was testing out the
Hi list,
I was testing out the "doSMP" package from REvolutionR in my regular R2.11.0
installation and I got the following error message. Well, one obvious thing is
that R2.11.0 was built using "i386-pc-mingw32" which is different from what
revoIPC used. I could just use REvolutionR, but all
Hi List,
I want to show the heatmap of a correlation matrix using "heatmap.2", however
always get this warning message (see below) and the column dendrogram is not
showing. It's not really a big deal, but curious how to suppress it and still
let R show what I want to show (i.e. a symmetrical
ata, fun=median) #works
> ex.fn(data, fun2=function(x) fun(x)+3) #error with fun(x) not found
>
>
> On Fri, 2010-04-02 at 17:36 +, Tao Shi wrote:
>> hi List and Manuel,
>>
>> I have encounter the following problem with the function "lineplot.CI&qu
hi List and Manuel,
I have encounter the following problem with the function "lineplot.CI". I'm
running R 2.10.1, sciplot 1.0-7 on Win XP. It seems like it's a scoping issue,
but I couldn't figure it out.
Thanks!
...Tao
> lineplot.CI(x.factor = dose, response = len, data = ToothGrowth)
Thank you guys for the wonderful suggestions!
Charlie,
You obviously foresaw my problem! It took me a while to figure out that the
\raggedright and other justification commands should be applied to each cell.
It didn't work for me when applied to the headings. See this nice document
here:
at, col.just = rep("p{1in}", 2))
>
> You can also set justification for column headings, column group
> headings etc. See ?latex for details.
>
> Best,
> Ista
>
>
> On Fri, Feb 26, 2010 at 3:37 PM, Tao Shi wrote:
>>
>> Hi list,
>>
>> Is
If you do everything in Windows, Tinn-R is one of the best and also the one I
use. I also tried WinEdt. It's very good, but it is not free. If you want a
cross-platform editor, Emacs+ESS is the one. Like others said, the learning
curve is steep, but worth it.
...Tao
===
Hi list,
Is there a way to control long-line wrapping in a table using "latex" function
in Hmisc or any other functions? It seems I can't find any examples.
Thank you very much!
...Tao
Hi list,
I found this one when I was trying to output the Venn diagram to a .pdf file.
When there are 4 sets of groups to draw, the .pdf file automatically has 3
pages and the figure only appears on the 3rd page in the .pdf file with the
first 2 pages being blank. Try the following: (I'm us
o: shi...@hotmail.com
> Subject: Re: [R] SVM cross validation in e1071
> Date: Tue, 7 Jul 2009 21:43:49 -0400
>
> Hi Tao,
>
> On Jul 7, 2009, at 8:33 PM, Tao Shi wrote:
>
>> Hi list,
>>
>> Could someone help me to explain why the leave-one-out cross
>
Hi list,
Could someone help me to explain why the leave-one-out cross validation results
I got from svm using the internal option "cross" are different from those I got
manually? It seems using "cross" to do cross validation, the results are
always better. Please see the code below. I also
to be consecutive
> integers starting
>
> >>>>> "TS" == Tao Shi
> >>>>> on Wed, 10 Oct 2007 06:15:53 + writes:
>
> TS> Thank you very much, Benilton and Prof. Ripley, for the
> TS> speedy replies!
>
>
Hi list,
In the object returned by summary.nlsList, what's the difference between
"coefficients" and "parameters"? The have the same "Estimate", different se
(therefore t value), but same p values.
R.2.8.0 on winxp with nlme_3.1-89
Thanks,
...Tao
+++
problem persisted.
...Tao
Tao Shi hotmail.com> writes:
> ## I'm using R 2.8.0 on WinXP, Hmisc_3.4-3
>
>> table1 <- matrix(10, 180,7)
>> cell.format <- matrix("", ncol=7, nrow=180)
>> cell.format[c(seq(3,180,6),seq(4,180,6)),] <- &qu
Hi list,
Could you explain the error I see here? Thanks!
## I'm using R 2.8.0 on WinXP, Hmisc_3.4-3
> table1 <- matrix(10, 180,7)
> cell.format <- matrix("", ncol=7, nrow=180)
> cell.format[c(seq(3,180,6),seq(4,180,6)),] <- "color{red}"
> cell.format[c(seq(5,180,6),seq(6,180,6)),] <- "color{gr
This is a follow-up on the discussion originally posted on the R-devel list (
http://tolstoy.newcastle.edu.au/R/e4/devel/08/06/1901.html ), as I have
encountered the exact same issue mentioned in Martin's email. Here is a
simplified version of my problem:
##=
Got it! Thank you very much!
...Tao
> Date: Thu, 26 Jun 2008 20:41:29 +0200
> From: [EMAIL PROTECTED]
> To: [EMAIL PROTECTED]
> CC: r-help@r-project.org
> Subject: Re: [R] a question regarding package building
>
>
>
>
Hi List,
In Windows, if I do " R CMD build mypkg", then I'll get 'mypkg_1.0.tar.gz'.
Any option in R CMD build lets me to change the version, i.e. gives me
'mypkg_2.0.tar.gz"? It seems "-version" option doesn't do anything for me.
Is it OK if I just change the version number in the file nam
Hi List,
While using 'nlme' function, I have encountered the similar problem Dr. Stevens
and Dr. Graves observed (please see the posts:
https://stat.ethz.ch/pipermail/r-help/2006-May/105832.html ). I have tried Dr.
Stevens's original example, the problem is still there,
> mod.lis <- nlsList
Hi list,
Sorry for the vague title, but here is the scenario.
I’m writing an R package, let’s say, ‘pkg1’, which contains 3 functions: f1,
f2, f3. f2 and f3 are helper functions for f1, i.e. f1 calls f2 which in turn
calls f3.
f1 <- function(…) {
….
f2()
…
}
f2 <-
Hi List,
I'm running R2.5.1 on WinXP. Downloaded RMySQL_0.6-0.zip from
http://www.stats.ox.ac.uk/pub/RWin/bin/windows/contrib/2.6/ and the
installation seemed fine. However, when I tried to load the package, the error
occured:
> utils:::menuInstallLocal()
package 'RMySQL' successfully unpa
Thank you very much, Benilton and Prof. Ripley, for the speedy replies!
Looking forward to the fix!
Tao
>From: Prof Brian Ripley <[EMAIL PROTECTED]>
>To: Benilton Carvalho <[EMAIL PROTECTED]>
>CC: Tao Shi <[EMAIL PROTECTED]>, [EMAIL PROTECTED],
>r-h
Hi list,
When I was using 'silhouette' from the 'cluster' package to calculate
clustering performances, R crashed. I traced the problem to the fact that
my clustering labels only have 2's and 3's. when I replaced them with 1's
and 2's, the problem was solved. Is the function purposely writt
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