in http://www.ascii-code.com/, you can see the the hex value of Å is 8C,
why in my R console ?
charToRaw("Å")
[1] c5 92
is not 8C ?
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R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/l
Hi,
May be this helps:
t(sapply(seq_len(nrow(A)),function(i) nleqslv(x.start,fun,krow=i)$x))
A.K.
On Thursday, December 12, 2013 1:54 PM, eliza botto
wrote:
Dear Berend,Thankyou very much for your reply. I actually wanted to inserts
each row value of A in f[1] anf f[2], with column 1 value i
Hi all,
I am using the coxme function to fit random effects survival models. The
base survival models show a typical "J" shaped curve where survival drops
sharply then plateaus over time interval. I want to include a time
covariate which could account for this non-linear decrease in survival o
Thank you very much for the hints. I fixed the problem.
On Thursday, December 12, 2013 2:08 PM, Kevin Wright wrote:
Read the help page for both and pay particular attention to the "scale"
argument.
Kevin Wright
On Thu, Dec 12, 2013 at 9:45 AM, capricy gao wrote:
I have a huge datas
On Thu, Dec 12, 2013 at 3:09 PM, capricy gao wrote:
> I could not figure out what was the default when I ran hclust() without
> specifying the method.
According to help("hclust"), the default method is complete linkage.
HTH,
Peter
__
R-help@r-projec
Absolute distance is the default distance in hclust. v<-c(1,2,3,4,5,6)
dist(v)
2 1
3 2 1
4 3 2 1
5 4 3 2 1
6 5 4 3 2 1
Eliza
> Date: Thu, 12 Dec 2013 15:09:19 -0800
> From: capri...@yahoo.com
> To: r-help@r-project.org
> Subject: [R] method default for hclust function
>
> I c
I could not figure out what was the default when I ran hclust() without
specifying the method.
For example:
I just have a code like:
hclust(dist(data))
Any input would be appreciated:)
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R-help@r-project
Dear Arun,
Thankyou very much for your reply. You always come up to save the day.
So kind of you...!!!
Eliza
> Date: Thu, 12 Dec 2013 12:36:18 -0800
> From: smartpink...@yahoo.com
> Subject: Re: [R] function inside a function
> To: eliza_bo...@hotmail.com
>
>
>
> Hi Eliza,
>
> Actually, I used
On 12/13/2013 01:32 AM, Fisher Dennis wrote:
OS X
R 3.0.2
Colleagues,
I am displaying two sets of values changing over time; as a result, I have two
y-axes. I add a label for the right-side Y axis with mtext(side=3, line=1.2,
TEXT). The text is parallel to the axis -- so far, so good. Howe
Read the help page for both and pay particular attention to the "scale"
argument.
Kevin Wright
On Thu, Dec 12, 2013 at 9:45 AM, capricy gao wrote:
> I have a huge dataset(15k X 18) and tried to use the heatmap in R to
> examine the patterns. However, I found that heatmap and heatmap.2 gave me
Dear Yogi,
try the powerTransform function in the car package and boxcox function in the
MASS package.
there are nice examples for both functions.
HTH,
daniel
Feladó: r-help-boun...@r-project.org [r-help-boun...@r-project.org] ;
meghatalmazó: Yogendra [y
Dear Berend,Thankyou very much for your reply. I actually wanted to inserts
each row value of A in f[1] anf f[2], with column 1 value in f[1] and column 2
values in f[2]. Once that been done, i should have in the end, 124 vaues of
x[1] for column 1 and 124 for column 2.I hope i am clear this tim
On 12-12-2013, at 17:10, eliza botto wrote:
> Dear users of R,
> I am trying to inculcate a function inside a function. For that to be done, i
> copied following function from internet.
>
> library(nleqslv) fun <- function(x) {
> f <- numeric(length(x))
> f[1] <- A[,1]+x[2] - 1/x[1
Hello there
Was looking up a similar problem yesterday and came across the gMWT package
(Generalized Mann-Whitney Type Tests). It addresses your problem, although I
am still trying to figure out how it works.
Kind regards,
David
--
View this message in context:
http://r.789695.n4.nabble.com/
Dear Eik,
thank you so much for your help!
best Regards,
Romeo
On 12/12/2013 12:51 PM, Eik Vettorazzi wrote:
I thought so (with all the limitations due to collinearity and so on),
but actually there is a limit for the maximum size of an array which is
independent of your memory size and is du
Hi,
I am new to R.
I need help with regards to box cox transformation.
I have phenotypic data for e.g. plant height.
data is non-normal. Skewness is 0.34.
Could you please help me?
Regards,
Yogi
--
View this message in context:
http://r.789695.n4.nabble.com/boxcox-transformations-tp4682077.h
ok, so 200K predictors an 10M observations would work?
On 12/12/2013 12:12 PM, Eik Vettorazzi wrote:
it is simply because you can't do a regression with more predictors than
observations.
Cheers.
Am 12.12.2013 09:00, schrieb Romeo Kienzler:
Dear List,
I'm quite new to R and want to do logis
I have a huge dataset(15k X 18) and tried to use the heatmap in R to examine
the patterns. However, I found that heatmap and heatmap.2 gave me completely
different outputs.
Here are the codes:
> dim(as.matrix(data.dcpm))
[1] 15462 18
>
> heatmap(as.matrix(data.dcpm), col=topo.
Might axis() be useful here?
?axis
Cheers,
Bert
On Thu, Dec 12, 2013 at 8:02 AM, David Carlson wrote:
> I don't see an alternative to text(), but the positioning is not
> that difficult:
>
> oldpar <- par(mar=c(5.1, 4.1, 4.1, 4.1))
> plot(0)
> axis(4)
> text(par("usr")[2], mean(par("usr")[3:4])
Dear users of R,
I am trying to inculcate a function inside a function. For that to be done, i
copied following function from internet.
library(nleqslv) fun <- function(x) {
f <- numeric(length(x))
f[1] <- A[,1]+x[2] - 1/x[1]
f[2] <- A[,2]+x[2] - sin(x[1])
f
}
x.start
On 12/12/2013 7:08 AM, Eik Vettorazzi wrote:
thanks Duncan for this clarification.
A double precision matrix with 2e11 elements (as the op wanted) would
need about 1.5 TB memory, that's more than a standard (windows 64bit)
computer can handle.
According to Microsoft's "Memory Limits" web page (
I don't see an alternative to text(), but the positioning is not
that difficult:
oldpar <- par(mar=c(5.1, 4.1, 4.1, 4.1))
plot(0)
axis(4)
text(par("usr")[2], mean(par("usr")[3:4]), "TEXT",
srt=-90, adj=c(.5,-4), xpd=TRUE)
par(oldpar)
-
David L Carlson
Dep
This post should go the r-sig-mixed-models list, where you are much
more likely to get useful help than here, which is a general R
programming help list.
Cheers,
Bert
On Thu, Dec 12, 2013 at 7:41 AM, Eric Elguero wrote:
> dear R-users,
>
> I have to model counts where all counts above some thres
Thanks Eik...
..the uniroot() was the function I was looking for.
Best regards,
/J
On Thu, Dec 12, 2013 at 4:27 PM, Eik Vettorazzi wrote:
> Assuming r, sd1 and sd2 as known(fixed) components, this works:
>
> X <- pnorm(q=q,sd=sd1)*r+pnorm(q=q,sd=sd2)*(1-r)
>
> uniroot(function(x)pnorm(q=x,sd=s
dear R-users,
I have to model counts where all counts above some threshold
have been censored. In the same dataset I have too many zeroes for
a Poisson or even a negative binomial distribution to make
sense, so I would need a zero-inflated-censored negative binomial
family for use in glmer (or gl
Assuming r, sd1 and sd2 as known(fixed) components, this works:
X <- pnorm(q=q,sd=sd1)*r+pnorm(q=q,sd=sd2)*(1-r)
uniroot(function(x)pnorm(q=x,sd=sd1)*r+pnorm(q=x,sd=sd2)*(1-r)-X,c(-1e6,1e6))
Cheers
Am 12.12.2013 15:58, schrieb Johannes Radinger:
> Thanks for the fast response. Of course I total
From: Jim Lemon [j...@bitwrit.com.au]
Sent: Tuesday, December 10, 2013 21:57
To: Hodge, Steven
Cc: r-help@r-project.org
Subject: Re: [R] radial.plot shaded region
On 12/11/2013 11:24 AM, Jim Lemon wrote:
>> ...
>> There may be a solution using the radial.pie function, and if I find it,
>> I'll pos
Thanks for the fast response. Of course I totally overlooked qnorm as I had
a more complex task in my head.
I wanted to reverse following equation:
r=0.67
q=-150
sd1=100
sd2=1000
X <- pnorm(q=q,sd=sd1)*r+pnorm(q=q,sd=sd2)*(1-r)
Maybe its mathematically really easy, but somehow I don't get it how
OS X
R 3.0.2
Colleagues,
I am displaying two sets of values changing over time; as a result, I have two
y-axes. I add a label for the right-side Y axis with mtext(side=3, line=1.2,
TEXT). The text is parallel to the axis -- so far, so good. However, the text
is rotated counterclockwise from
?pnorm ... carefully...
---
Jeff NewmillerThe . . Go Live...
DCN:Basics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#.. Playing
Looks like homework.
Try ?qnorm
Feladó: r-help-boun...@r-project.org [r-help-boun...@r-project.org] ;
meghatalmazó: Johannes Radinger [johannesradin...@gmail.com]
Küldve: 2013. december 12. 14:56
To: R help
Tárgy: [R] Solving a normal distribution pnorm fo
On 12-12-2013, at 14:56, Johannes Radinger wrote:
> Hi,
>
>
>
> I found follwowing example of pnorm here:
>
> http://www.r-tutor.com/elementary-statistics/probability-distributions/normal-distribution
>
>
>
> Problem
>
> Assume that the test scores of a college entrance exam fits a norma
Hi,
I found follwowing example of pnorm here:
http://www.r-tutor.com/elementary-statistics/probability-distributions/normal-distribution
Problem
Assume that the test scores of a college entrance exam fits a normal
distribution. Furthermore, the mean test score is 72, and the standard
deviat
thanks Duncan for this clarification.
A double precision matrix with 2e11 elements (as the op wanted) would
need about 1.5 TB memory, that's more than a standard (windows 64bit)
computer can handle.
Cheers.
Am 12.12.2013 13:00, schrieb Duncan Murdoch:
> On 13-12-12 6:51 AM, Eik Vettorazzi wrote:
On 13-12-12 6:51 AM, Eik Vettorazzi wrote:
I thought so (with all the limitations due to collinearity and so on),
but actually there is a limit for the maximum size of an array which is
independent of your memory size and is due to the way arrays are
indexed. You can't create an object with more
I thought so (with all the limitations due to collinearity and so on),
but actually there is a limit for the maximum size of an array which is
independent of your memory size and is due to the way arrays are
indexed. You can't create an object with more than 2^31-1 = 2147483647
elements.
https://s
Dear Berend,Got it! Thankyou very much indeed for your kind support and
elaborating the issue.I'm Extremely grateful!!! Eliza
> Subject: Re: [R] solving simultaneous Equations in R
> From: b...@xs4all.nl
> Date: Thu, 12 Dec 2013 09:01:02 +0100
> CC: r-help@r-project.org
> To: eliza_bo...@hotmail
it is simply because you can't do a regression with more predictors than
observations.
Cheers.
Am 12.12.2013 09:00, schrieb Romeo Kienzler:
> Dear List,
>
> I'm quite new to R and want to do logistic regression with a 200K
> feature data set (around 150 training examples).
>
> I'm aware that I
Dear List,
I'm quite new to R and want to do logistic regression with a 200K
feature data set (around 150 training examples).
I'm aware that I should use Naive Bayes but I have a more general
question about the capability of R handling very high dimensional data.
Please consider the followi
I would like another line, and the solution below will work great. Thank you.
- John
Quoting "Viechtbauer Wolfgang (STAT)"
:
> Regarding your question: Do you want *another* line or do you just want to
> move the reference line to the value of the summary estimate? The latter can
> be done by pa
Regarding your question: Do you want *another* line or do you just want to move
the reference line to the value of the summary estimate? The latter can be done
by passing the value of the summary estimate to the 'refline' argument. If you
want another line, you could just use the abline function
On 11-12-2013, at 23:56, eliza botto wrote:
> Dear Berend,
>
> Thankyou very much indeed for you reply. By taking help from your previous
> reply @ http://r.789695.n4.nabble.com/Simultaneous-equations-td2524645.html i
> was able to generate the following loop for the calculation of x=x[1] and
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