gy
Texas A&M University
College Station, TX 77840-4352
-Original Message-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of Blaser Nello
Sent: Wednesday, June 26, 2013 11:03 AM
To: Jennifer Tickner; r-help@r-project.org
Subject: Re: [R] Creating a m
.
Best,
Nello
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On Behalf Of Jennifer Tickner
Sent: Mittwoch, 26. Juni 2013 10:18
To: r-help@r-project.org
Subject: [R] Creating a matrix with an unknown variable
Hi all
I'm trying to create
Hi all
I'm trying to create a matrix, A, with an unknown variable delta. The code I
have so far is:
D<-c(-1, -2/3, -1/3, 0, 1/3, 2/3, 1)
A<-matrix(NA,nrow=7,ncol=7)
for (i in 1:7)
{
for (j in 1:7)
{
A[i,j]<-exp(-((D[i]-D[j])/delta)^2)
}
}
Of course, R comes up with an error message be
On Sun, Jul 17, 2011 at 11:18 AM, christian krahforst
wrote:
> I have a data frame (gom) or a matrix of trace metal data and some other
> observations from water column samples taken at sea (e.g., 19 samples
> (rows), 19 variables)
> I can calc. the rank individually from each column of the attach
I have a data frame (gom) or a matrix of trace metal data and some other
observations from water column samples taken at sea (e.g., 19 samples
(rows), 19 variables)
I can calc. the rank individually from each column of the attached object.
How can I create a matrix that contains the ranked data for
Hi,
embed() seemed well-suited, but I couldn't figure out an elegant way to use it
embed(c(A,A), 4)[1:4, 4:1]
HTH,
baptiste
On 6 January 2011 22:34, ADias wrote:
>
> Hi
>
> Suppose we have an object with strings:
>
> A<-c("a","b","c","d")
>
> Now I do:
>
> B<-matrix(A,4,4, byrow=F)
>
> and I
On Thu, Jan 06, 2011 at 01:34:31PM -0800, ADias wrote:
>
> Hi
>
> Suppose we have an object with strings:
>
> A<-c("a","b","c","d")
>
> Now I do:
>
> B<-matrix(A,4,4, byrow=F)
>
> and I get
>
> a a a a
> b b b b
> c c c c
> d d d d
>
> But what I really want is:
>
> a b c d
> b c d a
> c d
On Thu, Jan 06, 2011 at 01:34:31PM -0800, ADias wrote:
>
> Hi
>
> Suppose we have an object with strings:
>
> A<-c("a","b","c","d")
>
> Now I do:
>
> B<-matrix(A,4,4, byrow=F)
>
> and I get
>
> a a a a
> b b b b
> c c c c
> d d d d
>
> But what I really want is:
>
> a b c d
> b c d a
> c d
On Jan 6, 2011, at 4:34 PM, ADias wrote:
Hi
Suppose we have an object with strings:
A<-c("a","b","c","d")
Now I do:
B<-matrix(A,4,4, byrow=F)
and I get
a a a a
b b b b
c c c c
d d d d
But what I really want is:
a b c d
b c d a
c d a b
d a b c
How can I do this?
How else?
B<-matrix(A
Hi
Suppose we have an object with strings:
A<-c("a","b","c","d")
Now I do:
B<-matrix(A,4,4, byrow=F)
and I get
a a a a
b b b b
c c c c
d d d d
But what I really want is:
a b c d
b c d a
c d a b
d a b c
How can I do this?
thank you
A. Dias
--
View this message in context:
http://r.7896
I have a very large file with many rows and columns. I want to create a plot
with lowess.
If I try the following it works fine:
data(PrecipGL)
plot(PrecipGL)
lines(lowess(time(PrecipGL),PrecipGL),lwd=3, col=2)
In my file, 2 columns are "nox" and "sdate", and are both typeof() = double.
as reshape only
seems to work on a variable named value. I think this is supposed to change in
the near future).
--- On Wed, 10/8/08, SP&BM <[EMAIL PROTECTED]> wrote:
> From: SP&BM <[EMAIL PROTECTED]>
> Subject: [R] Creating a matrix
> To: r-help@r-project.org
You can read it in as a data.frame and then use 'aggregate' to get the mean:
> x <- read.table(textConnection(' Seller Art. Unit_Price
+ 1 v1 p1 9.148352
+ 2 v1 p1 2.858073
+ 3 v1 p2 3.775315
+ 4 v1 p2 9.821429
+ 5 v1 p3 3.286827
+
Good evening.
I have this following table and I would like to turn it into a matrix in
which my rows would be filled with de "Sellers", my columns with my
"Articles" and my data would be the mean unitary price used by each seller
in each produt.
Seller Art. Unit Price
1 v1 p1
that's great, thanks
On Tue Mar 4 12:29 , "Henrique Dallazuanna" sent:
I think that this shoul works:
do.call(rbind, apply(as.table(x), 1, function(.x).x[any(.x < cutoff)]))
Change as.table(x) by your table
On 04/03/2008, rich @ thevillas. eclipse. co. uk
<[EMAIL
I think that this shoul works:
do.call(rbind, apply(as.table(x), 1, function(.x).x[any(.x < cutoff)]))
Change as.table(x) by your table
On 04/03/2008, rich @ thevillas. eclipse. co. uk
<[EMAIL PROTECTED]> wrote:
>
>
>
>
> sorry, it would probably better be described as a table
>
> thanks
>
>
>
sorry, it would probably better be described as a table
thanks
On Tue Mar 4 11:28 , "Henrique Dallazuanna" sent:
You have a table or matrix?
if is matrix:
set.seed(123)
x <- matrix(rnorm(100), 10, 10)
cutoff <- -1.5
do.call(rbind, apply(x, 1, function(
You have a table or matrix?
if is matrix:
set.seed(123)
x <- matrix(rnorm(100), 10, 10)
cutoff <- -1.5
do.call(rbind, apply(x, 1, function(.x).x[any(.x < cutoff)]))
On 04/03/2008, [EMAIL PROTECTED]
<[EMAIL PROTECTED]> wrote:
>
>Hi,
>
> I have a table of x rows and y columns. The table is
Hi,
I have a table of x rows and y columns. The table is huge and so i'd like
to create a subset of the data containing rows where any of the y values are
below a threshold, say 1e-4. Is there a simple way of doing this in R?
thanks
Rich
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