Displaying 20 results from an estimated 12000 matches similar to: "How to create all pairs"
2010 Nov 08
4
Create Matrix of 2 Dim from two vectors
Hello,
I have two data.
x<-c(1, 2, 3)
y<-c(4,5,6)
How do i create matrix of 3 by 3 from this two, such that
(1,4) (1,5) (1,6)
(2,4) (2,5) (2,6)
(3,4) (3,5) (3,6)
I tried some thing like this:
xy <- as.data.frame(c(0,0,0), dim=c(3,3))
for(i in 1:3)
for(j in 1:3)
xy[i][j]<-c(x[i],y[j])
but i got errors..!!!!
any help would appreciate
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2010 Apr 23
1
Combinations with restrictions
Hi!
Is there any easy/fast way to combine vectors with restrictions?
Example:
a=c(1,2,3), b=c(4,5,6), c=c(7,8,9)
I want all combinations of this 3 vectors with length=2.
Like this:
1,4
1,5
1,6
1,7
1,8
1,9
2,4
2,5
2,6
2,7
... and so on.
Thanks in advance.
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2012 Jul 02
4
how to do a graph with tree different colors??
hi
i try to do a graph of a time series which shows in red the values > -0.05,
in blue the values >0.05 and in white the values between -0.05 and 0.05
for un exemple :http://www.appinsys.com/globalwarming/enso.htm
thanks !!!!!
denisse
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2011 Jun 20
3
Unreasonable syntax error
http://r.789695.n4.nabble.com/file/n3612530/PSC.r PSC.r
Hi all,
I just wrote a program in R by editing it in Microsoft Word and then pasting
into the text editor of R. The above is the file.
And below is what the console complains.... Why doesn't it recognise 'r'??
I have to mention that at least when I typed this first several lines into
the console, the first error didn't
2013 Feb 27
2
matrix multiplication
Hi,
Try this:
#mat1 is the data
res<-do.call(cbind,lapply(seq_len(nrow(mat1)),function(i) {new1<-do.call(rbind,lapply(seq_len(nrow(mat1[-i,])),function(j) {x1<-rbind(mat1[i,],mat1[j,]); x2<-(abs(x1[1,1]-x1[2,1])*abs(x1[1,5]-x1[2,5]))+(abs(x1[1,2]-x1[2,2])*abs(x1[1,6]-x1[2,6]))+(abs(x1[1,3]-x1[2,3])*abs(x1[1,7]-x1[2,7]))+(abs(x1[1,4]-x1[2,4])*abs(x1[1,8]-x1[2,8]))}));new1}))
2009 Apr 18
2
Welcome to the "R-help" mailing list
Hi all,
I'm a newbie R developer, am trying to dotplot a few graphs using a for
loop.
The following code works fine but once I wanna plot inside a loop, nothing
happens.
> for(i in 1:1){dotplot(y~x)}
> y <- c(1,2,3)
> x <- c('a','b','c')
> dotplot(y~x)
> for (i in 1:3) {dotplot(y~x)} (y and x depends on I in actual case)
Nothing happens.
I
2013 Oct 10
1
pairs plot
my data are matrix with 3 numeric columns.
would like to have pairs plot
with scatterplots in the upper
with hist at the diag
and with correlation at the lower.
actually default pairs does almost what I want but looks semi awesome.
Especially, i didn't find out how to remove the axes from the lower
part where I do only want to display the numeric values correlations
there and somehow axes
2005 Mar 28
2
Generating list of vector coordinates
Hi.
Can anyone suggest a simple way to obtain in R a list of vector
coordinates of the following form? The code below is Mathematica.
In[5]:=
Flatten[Table[{i,j,k},{i,3},{j,4},{k,5}], 2]
Out[5]=
{{1,1,1},{1,1,2},{1,1,3},{1,1,4},{1,1,5},{1,2,1},{1,2,2},{1,2,3},{1
,2,4},{1,2,
5},{1,3,1},{1,3,2},{1,3,3},{1,3,4},{1,3,5},{1,4,1},{1,4,2},{1,4,3},
{1,4,
2008 Jun 17
2
R error using Survr function with gcmrec
Would someone be able to help with this question? I'm using the
Gcmrec, Survrec, and Design packages to do a power analysis on
simulated data. I'm receiving an error after using the Survr function
that all data must have a censoring time even after using the gcmrec
function: newdata<-addCenTime(olddata). My program is below. I'd
greatly appreciate any help!
2007 Jun 27
3
exaustive subgrouping or combination
Dear Colleagues,
I am looking for a package or previous implemented R to subgroup and
exaustively divide a vector of squence into 2 groups.
For example:
1, 2, 3, 4
I want to have a group of
1, (2,3,4)
(1,2), (3,4)
(1,3), (2,4)
(1,4), (2,3)
(1,2,3), 4
(2,3), (1,4)
...
Can someone help me as how to implement this? I get some imaginary problem
when the sequence becomes large.
Thanks much in
2010 Jul 03
2
logistic regression - glm() - example in Dalgaard's book ISwR
Dear R-list members,
I would like to pose a question about the use and results
of the glm() function for logistic regression calculations.
The question is based on an example provided on p. 229
in P. Dalgaard, Introductory Statistics with R, 2nd. edition,
Springer, 2008. By means of this example, I was trying to
practice the different ways of entering data in glm().
In his book, Dalgaard
2011 Sep 12
3
Multiple t.test
Dear R experts,
Suppose I have an data frame likes this:
> example <- data.frame(age=c(1,2,3, 4,5,6), height=c(100,110,120,130,140,150), disease=c(TRUE, TRUE, TRUE, FALSE, FALSE, FALSE))
> example
age height disease
1 1 100 TRUE
2 2 110 TRUE
3 3 120 TRUE
4 4 130 FALSE
5 5 140 FALSE
6 6 150 FALSE
Is there anyway to compare the age and
2010 Nov 20
3
[PATCH 1/4] utils: cleanup unused includes
several errno.h for no good reasons.
cleanup losesetup which is not using getopt_long,
thus doesn't need getopt.h included.
Move stdarg.h include up in losesetup to more proper place.
Signed-off-by: maximilian attems <max at stro.at>
---
usr/utils/dmesg.c | 1 -
usr/utils/losetup.c | 4 +---
usr/utils/mkfifo.c | 1 -
usr/utils/nuke.c | 1 -
usr/utils/umount.c | 1
2009 Sep 21
2
Four concurrent Markov chains
Hi,
I am trying to write a simulation of the movements of four animals between
six patches. The movement between patches is based on a first-order Markov
chain so that the next patch they visit depends on the patch they were in
before.
I have written code that allows me to simulate the movement of one animal
but when I add more there seems to be a problem and all chains come back as
N/A. I can
2008 Oct 22
3
retrieving matrix elements by giving pairs of row AND column numbers?
Hi,
this is probably a very trivial question but I can't figure out the right terms to find the solution in the list archive.
I have a matrix or a data.frame or the like:
> m <- matrix(ncol=3,seq(1,9))
> m
[,1] [,2] [,3]
[1,] 1 4 7
[2,] 2 5 8
[3,] 3 6 9
and now I wonder if one can provide somehow two vectors, one containing row numbers, the other
2002 Nov 26
2
URGENT Help required
I've the following problem:
The below function runs a loop with regression analysis and stores F-Stat
in a matrix. When I call the matrix elements (models[i,j]) in the function
I get proper results, but when I try to call the same elements outside the
function the matrix appears to be empty e.g when I call compt inside the
function I get: 5 but when I call it outside I get: 1. This is the
2011 May 30
4
Test for list membership
Hi,
I need some help with this one: how do I check whether a vector is
already present in a list of vectors.
I have seen %in% recommended in a similar case but that obviously does
not work here.
c(1,2,3) %in% list(c(1,2,3), c(4,5,6))
returns
[1] FALSE FALSE FALSE
which makes sense since 1, 2 or 3 are not elements of that list. I don't
really know how to move from there though.
Best
2011 Mar 09
2
Complex sampling?
R users,
I am trying to generate a randomized weekday survey schedule that ensures even coverage of weekdays in
the sample, where the distribution of variable DOW is random with respect to WEEK. To accomplish this I need
to randomly sample without replacement two weekdays per week for each of 27 weeks (only 5 are shown). However,
I need to sample from a sequence (3:7) that needs to be
2009 Dec 17
2
Problem with spliting a dataframe values
Hi all,
Hi this is kiran
I am facing a problem to split a dataframe
that is..
i have a string like: "a,b,c|1,2,3|4,5,6|7,8,8"
first I have to split with respect to "|"
I did it with command
unlist(strsplit("a,b,c|1,2,3|4,5,6|7,8,8", "\\,"))
after getting that set i made it as a dataframe and it comes like
a,b,c
1,2,3
4,5,6
7,8,8
now i have to
2010 Feb 17
1
Package or function for selecting matched pairs?
Hi all,
I am designing a study in which I am selecting a subset of college
courses to be randomly assigned to one of two conditions. I would like
to create matched pairs of courses, and then randomly assign them to
condition within each pair. I would like to identify, for each course,
the one that best matches it, and quantify how well it matches. Here
is a much simpler data set for purposes of