Hi Paul,
Thank you for your illustrative explanation and help with rewriting the code.
It works now and, more importantly, I understand what is happening and why.
Best regards,
Satu
>-Original Message-
>From: Paul Murrell [mailto:p...@stat.auckland.ac.nz]
>Sent: 27. marraskuuta 2014 2
This is not really on topic here. At best the R-sig-db mailing list would be on
topic, but it seems you may be dealing with issues related to nonstandard sql
so you might need to find some additional help in a more Access-specific forum.
One thing you might try is using a specific column name fr
A simple Google search with "mtcars dendrogram" will find many explicit
examples for you.
B.
On Nov 27, 2014, at 2:54 PM, BRC wrote:
> I remembered that I had seen instruction to store mtcars build data in r,
> but right now I missed it, Please advise how I can see it or what will be
> proced
I remembered that I had seen instruction to store mtcars build data in r,
but right now I missed it, Please advise how I can see it or what will be
procedure to define data frame with row and column names. I need to
develop dendrogram of my own dataset contains 15 variables and more than
100 obser
My Question is:
How to handle NA in fda (functional data analysis) package?
Poonam Rathi
Doctoral Student - Production and Quantitative Methods
Indian Institute of Management - Ahmedabad
Dorm 6,Room 15 | +917966326615 | +919974183701
[[alternative HTML version deleted]]
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How about generating the uniform numbers sequentially and keep the running sum
of all the previous numbers. At each step check if the newly generated random
number plus the running sum > 1 discard the number and generate a new one,
repeat the condition check. If the new number plus old sum < 1 a
Hi
The essence of your problem is that seekViewport() is much more
ambiguous than downViewport().
Your set up involves creating a hierarchy of viewports four deep, with
eight viewport paths (vpPaths) in total ...
vp1::A::vp2::plot1
::plot2
::B::vp3::plot1
::plot2
You want random numbers within the n-dimensional simplex (sum xi <=1)
The easiest solution of course would be creating n-dimensions vectors
with iid uniform components on [0,1) and throwing away those
violating the inequality.
Since the volume of the n-dimensional simplex is 1/n! (factorial)
this b
> "PP" == PIKAL Petr
> on Thu, 27 Nov 2014 13:40:36 + writes:
PP> Hm
>> -Original Message-
>> From: Jeff Newmiller [mailto:jdnew...@dcn.davis.ca.us]
>> Sent: Wednesday, November 26, 2014 8:09 PM
>> To: PIKAL Petr; Martin Maechler
>> Cc: R help
>
Hello! I am relatively new using R, but this is my contribution to the
answer. How about using a Monte-Carlo method. Generate m numbers in the
support [0,1], where m>n. Then constrain by constructing a loop that takes
every one of the elements in the m sized vector and select the ones that
sum up t
Hi,Thanks for the replies. My problem is that the tables (at least, a few of
them) are too large. I cannot directly export the tables to get text files. I
tried the following :
c1<-sqlQuery(ch,"SELECT COUNT(*) FROM table1")
I got the following error (changed the text to alter table names) :[1] "A
Dear R Users,
Is it possible to get cycling xerror scores in cp of rpart while getting the
same tree on every run (or am I missing something or understood wrong)? I build
it with an old version of R in a Windows VM installed on a Intel based macbook
and reuse the same codes with a newer version
Thanks to John, Denis, Jeff and Thierry
The key is to use aes_string instead of aes in cycle and preprocess objects to
avoid creating factors on fly.
For some reason, facet_grid does not accept [,], while without facet_grid such
subsetting works without problem.
I use such construction when I
Hm
> -Original Message-
> From: Jeff Newmiller [mailto:jdnew...@dcn.davis.ca.us]
> Sent: Wednesday, November 26, 2014 8:09 PM
> To: PIKAL Petr; Martin Maechler
> Cc: R help
> Subject: Re: [R] plot.hclust point to older version
>
> Short answer to your question is "R files" and original dat
Thank you Thierry
Still I wonder why without facet_grid code
for (i in n:m) { p<-ggplot(data, aes(x=x, y=data[,i], colour=f))), ...}
works
and with facet_grid does not.
Best regards
Petr
> -Original Message-
> From: ONKELINX, Thierry [mailto:thierry.onkel...@inbo.be]
> Sent: Thursday,
> Artur Augusto
> on Wed, 19 Nov 2014 15:26:12 -0200 writes:
> I'm trying to use the Rmpfr library with the round() function to apply
> the round half to even rule and achieve correct results, without
> errors due the finite precision of float point values.
> Example
Hello,
I'm using the R package argparse to parse command line arguments.
For readability, I'd like to add line breaks in the "description" of the
script and in the help of the arguments. However, I can't do it... Let's
see an example. Given this script:
#!/usr/bin/env Rscript
require(ar
Dear Petr,
You need to use aes_string() instead of aes().
The.cols <- colnames(data)[n:m]
for (i in The.cols) { p<-ggplot(data, aes_string(x="x", y= i, colour="f"))),
...}
Best regards,
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team
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