Displaying 20 results from an estimated 2000 matches similar to: "pairs matchning"
2006 Feb 28
4
subsetting a list of matrices
Hi All,
I have a list of matrices:
> x
[,1] [,2]
[1,] 1 4
[2,] 2 5
[3,] 3 6
> y
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 18 21 24 27 30 33
[2,] 19 22 25 28 31 34
[3,] 20 23 26 29 32 35
> z =list(x,y)
I want to create a second list that is has a subset each matrix in the
list subsetting so I get the 2nd and 3rd row of each (and
2005 Mar 08
5
removing message: [Previously saved workspace restored]
Dear All,
I saved by mistake the environment I was working in after typing q(),
and now I get the annoying message:
[Previously saved workspace restored]
I have already deleted all the objects in the environment, saving it as
an empty environment, so it's just a matter of nitpicking I suppose. The
message does not appear if I start R from any other place in the
directory tree.
I am
2006 Sep 26
5
putting stuff into bins...
Hi All,
I have a vector of data, a vector of bin breakpoints and I want to put my data
in the bins and then extract fanciful informations like the mean value of each bin.
I know I can write my own function, but I would have thought that R should have
somewhere a function that took as arguments something like (data, breaks, what
to do with the data in the bins). I surey could not find it
2007 Jun 26
2
fisher information matrix
Hi All,
a colleague wants to calculate the Fisher information matrix for a model he
wrote (not in R). He can easily get the neg-log-likelihood and the best fit
parameters at the minimum. He can also get negLLs for other parameter values too.
Given these data, is there a way in R to calculate the Fisher information matrix?
Best,
Federico
--
Federico C. F. Calboli
Department of Epidemiology
2006 Mar 28
2
as.matrix and one row
Hi All,
I have the following problem:
x = c(1,2)
x
[1] 1 2
as.matrix(x)
[,1]
[1,] 1
[2,] 2
BUT, if I add:
y = c(3,4)
as.matrix(rbind(x,y))
[,1] [,2]
x 1 2
y 3 4
It does not transpose. Since I will need as.matrix() for a list of data
that is in one or more lines, I need as.matrix to behave in a consisten
fashions, so I get
as.matrix(x, whatever)
[,1] [,2]
x 1
2006 Jun 07
3
smoothing plot(x, type ='l')
Hi All,
I am using plot(x, type = 'l') for some plotting, but I would like rounded edges
rather than jagged edges in the plot (purely for aestetic reasons).
How could I achieve that?
Cheers,
Federico
--
Federico C. F. Calboli
Department of Epidemiology and Public Health
Imperial College, St Mary's Campus
Norfolk Place, London W2 1PG
Tel +44 (0)20 7594 1602 Fax (+44) 020
2006 Mar 08
3
'less' for R?
Hi All,
is there an equivalent of the Unix command 'less' (or 'more'), so I can
look at what's inside a data.frame or a matrix without having it printed
out on console?
I am using R on Debian Linux and Mac OS 10.4.5
Cheers,
F
--
Federico C. F. Calboli
Department of Epidemiology and Public Health
Imperial College, St Mary's Campus
Norfolk Place, London W2 1PG
Tel +44
2006 Apr 21
2
forcing apply() to return data frame
Hi All,
I am (almost) successfully using apply() to apply a function recursively
on a data matrix. The function is question is as.genotype() from the
library 'genetics'
apply(subset(chr1, names$breed == 'lab'),2,as.genotype,sep ="")
Unfortuantely apply puts it's results into a matrix object rather than a
data frame, tranforming my factors into numerics and
2006 Feb 08
2
logical condition in vector operation
HI All,
I have a data frame such as:
> test
x y p d
[1,] 1 0 10 21 0
[2,] 2 3 11 12 0
[3,] 3 4 12 23 0
[4,] 3 5 13 24 0
and I want to perfor some operations on the first two coulums,
conditional on the uneqaulity values on the 3rd and 4th columns.
For instance:
j = 3
test[test[,1] == j, 5] = test[test[,1] == j,2] + test[test[,2] == j,1]
gives me the result:
test:
x y p d
2007 Jun 25
3
fractional calculations
Hi All,
is there a function in R that allows me to work with fractions without
transforming them to floats (or whatever) in between?
Something that would calculate something like:
(1/2 + 1/8) * 1/2 = 5/16
without ever transforming to 0.5 and 0.125?
Best,
Federico
--
Federico C. F. Calboli
Department of Epidemiology and Public Health
Imperial College, St Mary's Campus
Norfolk Place,
2005 Apr 05
2
cat bailing out in a for loop
Dear All,
I am trying to calculate the Hardy-Weinberg Equilibrium p-value for 42
SNPs. I am using the function HWE.exact from the package "genetics".
In order not to do a lot of coding "by hand", I have a for loop that
goes through each column (each column is one SNP) and gives me the
p.value for HWE.exact. Unfortunately some SNP have reached fixation and
HWE.exact requires a
2006 Mar 12
1
finding warning point in function
Hi everyone,
I would like to find out when and where exactly I get the following
warning in a piece of code I've written:
Error in "[<-"(`*tmp*`, iseq, value = numeric(0)) :
nothing to replace with
The code is a for () loop performing a somewhat trivial calculation,
modulated by a number of logical if(){} else(){} conditions, involving
the creation of a number of
2005 Jul 21
3
vectorising ifelse()
Hi All,
is there any chance of vectorising the two ifelse() statements in the
following code:
for(i in gp){
new[i,1] = ifelse(srow[i]>0, new[srow[i],zippo[i]], sample(1:100, 1,
prob =Y1, rep = T))
new[i,2] = ifelse(drow[i]>0, new[drow[i]>0,zappo[i]], sample(1:100,
1, prob =Y1, rep = T))
}
Where I am forced to check if the value of drow and srow are >0 for each
line... in
2008 May 08
3
lme nesting/interaction advice
Hi everyone,
I am confused on how to specify some nesting and interaction terma with lme().
I have a dataset where some flies where selected for accessory gland size, made
to mate in presence/absence of another male and the level of some protein
measured. Now the complex stuff.
The selection has been replicated twice, so that the selection term has got two
levels (large and small) with
2005 Apr 12
2
R as programming language: references?
Hi All,
I am looking for references on R as a programming language (apart form
the standard R-lang.pdf and the other manuals), reference that would
cover _in_depth_ things like loops, code optimisation, debugging tools
etc... and is as up-to-date as possible.
Can anyone suggest any book or other reference apart from the "green
book" and the V&R "S-programming"?
Cheers,
2008 Aug 27
2
r-base-core issue
Hi All,
I cannot upgrade r-base and r-recommended because the latest (latest as in it
was not listed as 'upgradable' yesterday but today is) r-base-cose is
2.7.1-2hardy0 not hardy1:
r-base:
Depends: r-base-core (>=2.7.2-1hardy1) but 2.7.1-2hardy0 is to be installed
Depends: r-recommended (=2.7.2-1hardy1) but 2.7.1-2hardy0 is to be installed
r-base-core:
r-recommended:
2010 Jun 07
2
r-base-core-dbg update issue
Hello,
I am on the latest Ubuntu 10.04 and I am upgrading R. I get the following error:
r-base-core-dbg:
Depends: r-base-dev (=2.11.1-2lucid0) but 2.11.1-1lucid0 is to be installed
If that helps my CRAN mirror is:
http://stat.ethz.ch/CRAN/bin/linux/ubuntu lucid/
I did check on the archives for any email concerning the problem, I hope I am
not duplicating a thread.
Best,
F
--
Federico
2007 Sep 28
1
errorbar il lattice plot
Hi Everyone,
I would like to add errorbars to a lattice plot. I already have a function that
adds error bars to a plot (originally written by George Gilchrist) which takes
as arguments the coordinates of the point and then the size of the error bar. I
would like to integrate it in my lattice code but I seem to be stumped.
I can put the error bar function inside my code as if it were a panel
2007 Aug 28
3
data formatting: from rows to columns
Hi All,
I have some data I need to write as a file from R to use in a different program.
My data comes as a numeric matrix of n rows and 2 colums, I need to transform
each row as a two rows 1 col output, and separate the output of each row with a
blanck line.
Foe instance I need to go from this:
V2 V3
27 2032567 19
28 2035482 19
126 2472826 19
132 2473320 19
136 2035480 135
2009 Nov 10
1
when vectorising does not work: silent function fail?
Dear All,
I'm using apply to do some genetic association analysis along a chromosome, with
many thousands markers. For each marker the analysis is the same, so I was
planning to use apply(chrom, 2, somefunction)
In the specific case I do:
my.results = apply(chr, 2, function(x){anova(lrm( cpstc.f ~ x + time.cpstc + age
+ sex + mri))[1,3]})
This is all good and well in theory, but in