Hi,
While trying to install hgu133acdf- windows package in R im getting the
following error and unable to install the same.
> source("http://bioconductor.org/biocLite.R";)
> biocLite("hgu133acdf")
Using R version 2.10.0, biocinstall version 2.5.10.
Installing Bioconductor version 2.5 packages
Come to think of it, we can't save the output of each invocation and
concatenate it later, since we need the output as input for the next
iteration.
Alan
On Tue, May 25, 2010 at 11:43 PM, Alan Lue wrote:
> Since `for' loops are slow in R, and since `apply' functions are
> faster, I was wonderin
Since `for' loops are slow in R, and since `apply' functions are
faster, I was wondering whether there were a way to use an apply
function—or to otherwise avoid using a loop—when iterating over a
statement that updates its input.
For example, here's some such code:
r.seq <- 2 * (1 / d$Dt[1] - 1)
Hello Greg,
Thank you for the coding.
A few questions and remarks:
1) I have a feature request that I believe Faiz is interested in:
He would like to have the formatting of tables/data.frames in the output to
be prettier then the one extracted from the console output. I wonder if
that is (reason
# This is more about trying to find a more effecient way to code some
simple vectorized computations using ifelse().
# Say you have some vector representing a factor with a number of
levels (6 in this case), representing the location that samples were
collected.
Population <- gl( n=6, k=5,length=
Hopefully I understand your goal.
You have several datasets of the same dimension, and you want to calculate
the pairwise correlations of each dataset's row mean.
Depending on the dataset names, it may be easy to put all the data in a 1359
X 15 X 40 dimension array. Then, the following code woul
This assumes that for a particular id they all occur together in a run:
> cbind(start = which(!duplicated(id)), end = which(!duplicated(id, fromLast =
> TRUE)))
start end
[1,] 1 1
[2,] 2 3
[3,] 4 6
[4,] 7 7
[5,] 8 9
On Wed, May 26, 2010 at 12:14 AM, Robin Jeff
Awesome! Thanks:)
On Tue, May 25, 2010 at 9:40 PM, Erik Iverson wrote:
> Robin Jeffries wrote:
>
>> Hallo!
>>
>> I have a vector of ID's like so,
>> id <- c(1,2,2,3,3,3,4,5,5)
>>
>> I would like to create a [start,stop] pair of vectors that index the first
>> and last observation per ID.
>>
>>
Robin Jeffries wrote:
Hallo!
I have a vector of ID's like so,
id <- c(1,2,2,3,3,3,4,5,5)
I would like to create a [start,stop] pair of vectors that index the first
and last observation per ID.
For the ID list above, it would look like
1 1
2 3
4 6
7 7
8 9
which(!duplicated(id))
[1] 1 2 4 7 8
Tena koe Robin
See rle - it doesn't do exactly what you want but by looking at the code
(simply enter rle without brackets) you should be able to get there.
HTH ...
Peter Alspach
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf
Nick Matzke wrote:
Hi all,
If I would like to make a list of complex objects -- in my case,
phylogenetic trees, but it could be e.g. statistical results from
something like lm, or whatever -- how can I put them into a list?
When I try the obvious methods, e.g. cat, append, list, etc., I seem
Hallo!
I have a vector of ID's like so,
id <- c(1,2,2,3,3,3,4,5,5)
I would like to create a [start,stop] pair of vectors that index the first
and last observation per ID.
For the ID list above, it would look like
1 1
2 3
4 6
7 7
8 9
I haven't worked with indexes/data manipulation much in R, so
Hi all,
If I would like to make a list of complex objects -- in my
case, phylogenetic trees, but it could be e.g. statistical
results from something like lm, or whatever -- how can I put
them into a list?
When I try the obvious methods, e.g. cat, append, list,
etc., I seem to get weird beha
Hi Joris,
On Tue, May 25, 2010 at 1:00 PM, Joris Meys wrote:
> Dear all,
>
> I'm running a set of nonparametric MDS analyses, using a wrapper for isoMDS,
> on a 800x800 distance matrix. I noticed that setting the parameter k to
> larger numbers seriously increases the calculation time. Actually,
The below is starting to get close to the Firefox Download Analytics Map, but
I've still got a bit to go. Any insights or feedback about ways to improve the
code below to more closely resemble the Firefox Download plot are greatly
appreciated. Specifically, I would like to improve the presenta
On May 25, 2010, at 8:05 PM, Johan Jackson wrote:
HI all,
This is probably simple, but I haven't been able to locate the
answer either
in the Import Manual or from searching the listserve.
I have tab-delimited data with different numbers of elements in each
row. I
want to read it into R,
On Tue, May 25, 2010 at 9:35 PM, Wu Gong wrote:
>
> Do you mean count frequency of One Bedroom?
>
> table(dummy[dummy$Bedroom==1,][,1:2])
>
Dear learner,
Thanks for you time.
Yes, that is what I am trying to archive using melt and cost. any way it
works for me . Thanks for your help.
Thank
This is in the Detail of the help page:
The number of data columns is determined by looking at the first five
lines of input (or the whole file if it has less than five lines), or
from the length of col.names if it is specified and is longer. This
could conceivably be wrong if fill or blank.lines.
HI all,
This is probably simple, but I haven't been able to locate the answer either
in the Import Manual or from searching the listserve.
I have tab-delimited data with different numbers of elements in each row. I
want to read it into R, such that R fills in "NA" in elements that have no
data. H
The Prostatic_Neoplasm-miRNAs.DiseaseTargets.xls file seems to be an HTML
table and seems to open with no problem in OpenOffice.org Writer/Web. OOo 3.2.0
when opened from within OOOo.
At a guess it is some collection of PubMed references.
I don't know if that's any use but it's a nice table
Hope it helps this time:)
### Package reshape, function melt and cast
### Read table
dummy <- read.table(textConnection("State Months Bedroom
1xxxJan 1
2xxxJan 2
3xxxJan 1
4yyyJan 1
5yyyJan 2
6yyyJan 1
7zzz
Dear List
I hope you can help me: I’ve got a dataframe (df) within which I am looking
for Peak Over Threshold values as well as the length of the events. An event
starts when walevel equals 5.8 and it should end when walevel equals the
lower threshold value (5.35).
I tried “clu
Richard,
do you have an example for an ODBC connection?
Thank you
Stephen
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Hey Everyone!
I wanted to carry out Hierarchical clustering using distance matrices i have
calculated ( instead of euclidean distance etc.)
I understand as.dist is the function for this, but the distances in the
dendrogram i got by using the following script(1) were not the distances
defined in
readLines will read until it reached an end-of -file. try
readLines(con, n=1)
to read one line at a time an then process it.
On Tue, May 25, 2010 at 2:07 PM, Joe Stuart wrote:
> Hi,
> I'm trying to use the pipe function to read data from another process
> on my server.
>
> Here is the code I h
On May 25, 2010, at 4:49 PM, David Winsemius wrote:
On May 25, 2010, at 4:14 PM, Luis Felipe Parra wrote:
Hello, I am using the predict function for VAR in r obtaining the
following
object for the predictions with the following command
Hard to tell what that means since you have not spec
just a guess as i do not have your data:
with k=947 (last outer loop) m starts from 948 and runs backwards to
947. As your matrix probably only has 947 columns you get this error
Ayesha Khan schrieb:
Hi,
I'm trying to calculate euclidean distance for my matrix rx1. Its a big
matrix with
Leo,
This question is more suited for the BioC help list. Please post your question
over there.
Also, offer more info about how you arrived this siggenes.table, what version
of R and siggenes package you're using would be helpful. Please read the
posting guide!
...Tao
- Original Mess
On May 25, 2010, at 4:14 PM, Luis Felipe Parra wrote:
Hello, I am using the predict function for VAR in r obtaining the
following
object for the predictions with the following command
Hard to tell what that means since you have not specified what package
was used or the class of the objec
On 2010-05-25 10:54, Leonardo K wrote:
Hi, here's my siggenes.table$genes.up snippet.
Two class unpaired SAMR analysis.
"Row" "Gene ID" "Gene Name" "Score(d)" "Numerator(r)" "Denominator(s+s0)"
"Fold Change" "q-value(%)"
"1" "25" "RPL15P22" "RPL15P22" "-1.44115338424578" "-18" "12.489995996796
Iurie -
The help file for both functions has a "Values" section
that describes in detail exactly what the function returns.
In both cases, you'll see there is a component named
"statistic", which is what you want.
- Phil Spector
Hi,
I use two similar scripts to put p-values of shapiro.test and, respectively,
of wilcox.test in a table:
a)
d <- data.frame(dataset$GroupFactor, dataset[2:11])
# p-values for the shapiro test (by levels of GroupFactor)
with(d, aggregate(d[,-1], list(d[,1]), FUN = function(x)
shapiro.test(x)$p.
Jason,
At 9:55 AM -0700 5/25/10, Jason Priem wrote:
Thanks for you quick responses, all! Bill, it looks like that's just what I
want, but I'm not sure where you're getting the cohen.kappa() function. The
only function I could find by that name is in the concord library, and it
gives me:
x<-c
Hello, I am using the predict function for VAR in r obtaining the following
object for the predictions with the following command
PronFac <- predict(VARFactores,n.ahead=1)
> PronFactores$fcst
$PC1
fcst lower upper CI
PC1.fcst 2.284497 -0.8033048 5.3723 3.087802
$PC2
> id_gname<-read.table("/home/cdu/operon/id_name_gh5.txt", sep="\t",
quote="", skip=0, header=F, fill=T)
> dim(id_gname)
[1] 19323
Yes, it works after adding quote="" to the read table options.
Thanks, Chris!
On Tue, May 25, 2010 at 9:34 AM, Chris Stubben wrote:
>
> Gene names often hav
Take a look at what happens when k=947 (last time through the loop).
You are then indexing 'm in 948:947' so m==948 which is outside your
matrix.
On Tue, May 25, 2010 at 2:49 PM, Ayesha Khan
wrote:
> Hi,
>
> I'm trying to calculate euclidean distance for my matrix rx1. Its a big
> matrix with 94
Hi, here's my siggenes.table$genes.up snippet.
Two class unpaired SAMR analysis.
"Row" "Gene ID" "Gene Name" "Score(d)" "Numerator(r)" "Denominator(s+s0)"
"Fold Change" "q-value(%)"
"1" "25" "RPL15P22" "RPL15P22" "-1.44115338424578" "-18" "12.4899959967968"
"1.27368448239355" "0"
"2" "47" "CHAF1
Gene names often have single quotes like
5'-methylthioadenosine phosphorylase
ATP synthase B' chain
ppGpp 3'-pyrophosphohydrolase
so maybe try adding quote="" to the read table options.
Chris Stubben
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Do you mean count frequency of One Bedroom?
table(dummy[dummy$Bedroom==1,][,1:2])
-
A R learner.
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__
the last entries in the dataframe, how do they look?
On Tue, May 25, 2010 at 6:12 PM, Changbin Du wrote:
> 644727344ABC-2 type transporterABC-2 type transporter
> 644727345conserved hypothetical proteinconserved hypothetical
> protein
>
> Here is the last two lines of the file id
Hi,
I'm trying to calculate euclidean distance for my matrix rx1. Its a big
matrix with 947 elements. However when i do the following,
for(k in 1:947) for(m in (k+1):947){
A =rbind(A,c(k,m,ED(rx1[,k], rx1[,m])))
}
I get the following error:
ED(rx1[,k], rx1[,m]) : subscript out of bounds
I check
Hello
My name is greigiano am student of Applied Economics, Department of Rural
Economy.
I am working on an article forecasting, which use the dynamic linear model,
a model state space. I am wondering all the commands in R, to represent the
linear dynamic model and Kalman filter.
I am available for
OK, I have uploaded a few new functions to the TeachingDemos package on R-forge
(it will be a while before the CRAN version is updated, but you can install
directly from R-forge once the changes show up there).
The main functions to use (after loading TeachingDemos) are wdtxtStart and
wdtxtStop
Dear Peter,
thank you for your help. This helped.
Albart
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__
R-help@r-proje
The really obvious thing that you missed ;-) was trying:
help(unique)
and looking at 'see also' which would have led you to
help(duplicated)
HTH
Jannis
--- Polwart Calum (County Durham and Darlington NHS Foundation Trust)
schrieb am Di, 25.5.2010:
> Von: Polwart Calum (County Durham and Da
If you work with large data you might want to look at the ff package - useful
if your data is close or above your RAM. The package has ffsave where with
option add=TRUE you can add data to an existing ff archive. With ff data is
stored outside of R in files, only meta-data is stored within R. An
Your line does show up, but the x values start at ~6 and the y values are
incredibly small, so it is masked by the y=0 line. You probably have to check
your calculations!
--- Dimitri Liakhovitski schrieb am Mo,
24.5.2010:
> Von: Dimitri Liakhovitski
> Betreff: [R] adding one line to a plot
>
gene_name<-read.delim("/home/cdu/operon/id_name_gh5.txt", sep="\t", skip=0,
header=F, fill=T)
> dim(gene_name)
[1] 19323
Thanks, Tao! Now you see, read.delim works!
Thanks all for your imputs! I really appreciated!
On Tue, May 25, 2010 at 10:13 AM, Shi, Tao wrote:
> Changbin,
>
Thanks, Tao, I will try to do it.
On Tue, May 25, 2010 at 10:13 AM, Shi, Tao wrote:
> Changbin,
>
> It looks you're trying to read in a gene annotation file and usually it has
> many strange characters, e.g. "#", "&", (as other people also
> suggest). I encounter this all the time. So
Dears,
is there a way to append R objects similar to the function save() to a binary
file that already consists some previously saved R objects?
I browsed the mailing list archive and only found some suggestions that include
reading in the old file first and then saving the new objects togethe
I might be missing something really obvious, but is there an easy way to locate
all non-unique values in a data frame?
Example
mydata <- numeric()
mydata$id <- 0:8
mydata$unique <- c(1:5, 1:4)
mydata$result <- c(1:3, 1:3, 1:3)
> mydata
$id
[1] 0 1 2 3 4 5 6 7 8
$unique
[1] 1 2 3 4 5 1 2 3 4
$r
Hi,
I'm trying to use the pipe function to read data from another process
on my server.
Here is the code I have tried.
con <- pipe("/var/matlab/scripts/stream.pl")
while(con_read <- readLines(con)) {
print(con_read)
}
Problem is that the data from the perl script just keeps appending to
con_re
On Tue, May 25, 2010 at 7:57 PM, Phil Spector wrote:
> The scale function can use whatever vector you choose for
> subtraction and division. (It's basically a wrapper for
> the sweep function.)
Yeah, I know, I said it a bit strong. In this case it becomes
scale(data,center=F,scale=apply(data,2
Thanks; i used update.packages() before I asked this, but apparently it
didn't work. A manual upgrade did the trick, and now I'm Kappa-ing to
my heart's content. Thanks again to everyone for your help!
Best,
Jason
On 5/25/2010 1:34 PM, Peter Ehlers [via R] wrote:
> Jason,
>
> It seems that y
The scale function can use whatever vector you choose for
subtraction and division. (It's basically a wrapper for
the sweep function.) For example, to subtract the
median and divide by the median absolute deviation, use
scale(x,center=apply(x,2,median),scale=apply(x,2,mad))
Either the center=
Jason,
It seems that your version of psych may be outdated.
CRAN currently has version 1.0-88, in which wkappa is
listed as deprecated. Might be time to upgrade.
-Peter Ehlers
On 2010-05-25 10:55, Jason Priem wrote:
Thanks for you quick responses, all! Bill, it looks like that's just what I
Check http://cran.r-project.org/doc/contrib/Ricci-refcard-ts.pdf for some
ideas on testing time series in R. I'd go with the acf() and pacf() on the
residuals of the arima model. If arima works, both plots will indicate
absence of autocorrelation.
also check ?tsdiag
And if you're really going t
Hello,
Here is a general question that I think many of you will have insight to.
I have 40 independent dataframes. Each has a dimension of 1359 x 15. For
example
>dim(meanAnnualWaterDepth)
> 1539 15
I need to calculate the average value for each dataframe but only for
columns 7: 15. I can d
Scale is written to do that IF you want to normalize according to the mean
and the sd. For any other form of normalization, apply or sweep constructs
will have to be used.
I couldn't really see a way of using the absolute median value in a
sweep-statement.
On Tue, May 25, 2010 at 7:11 PM, Bert Gu
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of Mohan L
> Sent: Monday, May 24, 2010 6:26 PM
> To: r-help@r-project.org
> Subject: [R] rounding up to nearest integer
>
> Dear All,
>
> I have a data frame "data" and the below
Changbin,
It looks you're trying to read in a gene annotation file and usually it has
many strange characters, e.g. "#", "&", (as other people also suggest).
I encounter this all the time. So try to be very thorough about your search
(the first place I'll look for is the line where R s
?scale
is specifically written for this. See also ?sweep
Bert Gunter
Genentech Nonclinical Biostatistics
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Joris Meys
Sent: Tuesday, May 25, 2010 9:54 AM
To: cobbler_squad
Cc: r-hel
Dear all,
I'm running a set of nonparametric MDS analyses, using a wrapper for isoMDS,
on a 800x800 distance matrix. I noticed that setting the parameter k to
larger numbers seriously increases the calculation time. Actually, with k=10
it calculates already longer than for k=2 and k=5 together. It
Thanks for you quick responses, all! Bill, it looks like that's just what I
want, but I'm not sure where you're getting the cohen.kappa() function. The
only function I could find by that name is in the concord library, and it
gives me:
> x<-c("red", "yellow", "blue", "red") #coder number 1
> y<-
My code substracts the median absolute value. If you want to divide by it,
the code must be :
apply(some_dataset,2,function(
>
> x){
>x/median(abs(x))
> })
Thanks to Peter Langfelder for pointing out my mistake.
On Tue, May 25, 2010 at 6:24 PM, Joris Meys wrote:
> What kind of normalizatio
On 2010.05.25 11:52:07, Anyi Zhu wrote:
> Hi,
>
> I am a novice with R, so pardon me if the question is a piece of cake
> to some of you.
>
> Say if I have a stream of data consisting of 3 columns, 1st column is
> birth date, 2nd is death date and third is weight for each individual.
>
> My ulti
On 05/25/2010 08:52 AM, Sheila Reynolds wrote:
> Follow-up : one of my colleagues (who is not experiencing this problem)
> noticed that I had an older version of impute than he did, so I have now
> installed impute_1.22.0, but I still get the same error.
Hi Sheila --
Apparently your 'data' list w
>
> In that case, you probably want:
>
> subsets.melt <- melt(subsets.dummy,id.vars=c("State","Bedroom", "Months"))
> cast(subsets.melt, State ~ Months, fill = 0, fun = length)
>
> Hadley
>
Dear Hadley,
> subsets.melt <- melt(subsets.dummy,id.vars=c("State","Bedroom", "Months"))
> subsets.melt
Thanks you all for the contributions!
I will send the data back to the computer guys who collect data yesterday.
Actually, the data can be open in excel and txt editor. after replace some
";",
> gene_name<-read.table("/home/cdu/operon/id_name_gh5.txt", sep="\t",
skip=0, header=FALSE, fill=TRUE)
>
Hi Jose,
the datafile gets thrown away on the list. But in any case, first step is to
get rid of EXCEL and save the data as a csv-file, with the first row being
the variable names. Then you use read.table or read.csv to get this in R as
a data frame.
e.g.:
myData <- read.csv(file="myFile.csv",hea
Have you compared them to
tail(gene)_name, 2)
Come on, man, show some initiative.
On May 25, 2010, at 12:12 PM, Changbin Du wrote:
> 644727344ABC-2 type transporterABC-2 type transporter
> 644727345conserved hypothetical proteinconserved
> hypothetical protein
>
> Here is the
On Tue, May 25, 2010 at 8:39 AM, Mohan L wrote:
>
>
> On Tue, May 25, 2010 at 6:59 PM, Hadley Wickham wrote:
>>
>> > I trying to get a new data frame for 1 bedroom using cast. But I am not
>> > able
>> > to get the below data for 1 Bedroom using cost.
>> >
>> > State Jan Feb
>> > xxx 2 0
>
When I encounter problems like this, I make sure each row has the
expected number of columns. Something like the following awk code is
useful.
awk -F"\t" '{print NF}' id_name_gh5.txt | sort | uniq -c
Note: I'm not sure is the \t will work with the -F switch as above.
Kevin
Changbin Du wrote
What kind of normalization do you want to do?
If you want to divide all columns by the median absolute value, try :
apply(some_dataset,2,function(x){
x-median(abs(x))
})
also look at ?scale for normalization using the average and the sd.
Cheers
Joris
On Tue, May 25, 2010 at 6:01 PM, cobbler_s
without any clue about your data-file this is definitely unsolvable. But
some things to consider : Where is the dataset coming from? Did you check
for special characters? Is there an apostrophe somewhere in a string? (That
messed up things for me once). Is the delimiter placed correctly everywher
Hi,
I am doing my PhD and I usually use SPSS however now I need to do some
multivariate nonparametric tests but SPSS don’t work with this. Recently I
was aware of R and I saw that is possible using the MNM pack to perform
multivariate nonparametric tests. I am learning step by step how to wor
Without the actual file to look at, this is like playing 20 questions,
only not so much fun.
However, this kind of problem is most often caused by the presence
in your file of something that R interprets as a special character, usually
# or ' or ".
Can you open the file in a spreadsheet?
Can you
Have you looked into multigroup analysis? Is that what you're after?
If so, you can do multigroup analysis in lavaan fairly easily or, if you're
using the sem package, drop me a line. I have some scripts that will do
multigroup analysis for an equal sample size.
See
http://faculty.chass.ncsu
c...@nuuk:~/operon$ grep '^#' id_name_gh5.txt
c...@nuuk:~/operon$
no lines starts with #
On Tue, May 25, 2010 at 9:11 AM, Barry Rowlingson <
b.rowling...@lancaster.ac.uk> wrote:
> On Tue, May 25, 2010 at 4:42 PM, Changbin Du wrote:
> > HI, Dear R community,
> >
> > My original file has 1932 l
644727344ABC-2 type transporterABC-2 type transporter
644727345conserved hypothetical proteinconserved hypothetical
protein
Here is the last two lines of the file id_name_gh5.txt.
On Tue, May 25, 2010 at 8:57 AM, David Winsemius wrote:
>
> On May 25, 2010, at 11:42 AM, Changbin
cheks the comments sent by David!
M
Changbin Du a écrit :
> length(count.fields("/home/cdu/operon/id_name_gh5.txt"))
[1] 1932
It is 1932 lines when count in R
On Tue, May 25, 2010 at 8:52 AM, Mohamed Lajnef
mailto:mohamed.laj...@inserm.fr>> wrote:
Hi Changbin,
Try to use this
On Tue, May 25, 2010 at 4:42 PM, Changbin Du wrote:
> HI, Dear R community,
>
> My original file has 1932 lines, but when I read into R, it changed to 1068
> lines, how comes?
>
>
> c...@nuuk:~/operon$ wc -l id_name_gh5.txt
> 1932 id_name_gh5.txt
>
>
>> gene_name<-read.table("/home/cdu/operon/id_n
> length(count.fields("/home/cdu/operon/id_name_gh5.txt"))
[1] 1932
It is 1932 lines when count in R
On Tue, May 25, 2010 at 8:52 AM, Mohamed Lajnef wrote:
> Hi Changbin,
>
> Try to use this code in R to count the lines of your file without open it
>
> length(count.fields("id_name_gh5.txt"))
Dear all,
I have a file with 57 columns (671 time points in each column)
File looks like this:
10.279191 -1.203200e-02 -0.166772 6.12080e-02 0.196379
4.591900e-02 0.293689
20.267017 -1.150700e-02 -0.159463 5.85400e-02 0.187775
4.392200e-02 0.280854
30.053778 -2.
Follow-up : one of my colleagues (who is not experiencing this problem)
noticed that I had an older version of impute than he did, so I have now
installed impute_1.22.0, but I still get the same error.
thanks,
Sheila
On Mon, May 24, 2010 at 3:01 PM, Sheila Reynolds <
sheilamoorereyno...@gmail.c
Albart,
On 2010-05-25 1:51, Albart wrote:
Hello list,
I am making graphics for an article which I want to publish. The article is
about several methods (to calculate breeding values of individuals) applied
in several genetic scenarios (scen1 in the example) and using data from two
sources (sce
On May 25, 2010, at 11:42 AM, Changbin Du wrote:
HI, Dear R community,
My original file has 1932 lines, but when I read into R, it changed
to 1068
lines, how comes?
We are being asked to investigate this quest, how?
Have you looked at the last line to see if it looks like gene_name?
Isn
Hi Changbin,
Try to use this code in R to count the lines of your file without open it
length(count.fields("id_name_gh5.txt"))
Regards
Mohamed
Changbin Du a écrit :
HI, Dear R community,
My original file has 1932 lines, but when I read into R, it changed to 1068
lines, how comes?
c
Hi,
I am a novice with R, so pardon me if the question is a piece of cake
to some of you.
Say if I have a stream of data consisting of 3 columns, 1st column is
birth date, 2nd is death date and third is weight for each individual.
My ultimate goal is to be able to compute the correlation of weig
What other packages do you have loaded? Sometimes things interfere with each
other. Also, what version, os, etc are you working with? (the info asked for
in the posting guide).
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
HI, Dear R community,
My original file has 1932 lines, but when I read into R, it changed to 1068
lines, how comes?
c...@nuuk:~/operon$ wc -l id_name_gh5.txt
1932 id_name_gh5.txt
> gene_name<-read.table("/home/cdu/operon/id_name_gh5.txt", sep="\t",
skip=0, header=F, fill=T)
> dim(gene_name)
[1
Hello all,
This is a general stats question--I realize it is an R help list, so
tell me to go away if it is inappropriate.
I have a 2 X 2 design, and I have specified four identical path models
(one for each level of each factor). I want to test for an interaction
at each path--essentially (
If you search with the Vignettes button checked at the RSiteSearch
destination for "prediction error sums of squares" you find that the
mixOmics package provides a function that returns PRESS. Whether that
is a recommended approach to model scoring seems questionable,
however. It looks ve
Peter, Scot, Jim, and Jason,
Thanks for the various solutions to Jason's problem. In the next
release of psych I will a) document how to use non-numeric
categorical variables (e.g., red, blue, etc.) when using
cohen.kappa, b) suggest that cbind does the job (Peter's solution),
c) make it
Hello all,
Is there any function in R by which I can calculate PRESS and
P2 statistics for linear regression in R?
Thanks
Alex
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailma
I had the same problem before and I think it has something to do with the
R2HTML package.
To take care of that problem simply sweave your rnw file like this:
Sweave("yourfile.Rnw",syntax="SweaveSyntaxNoweb")
and try Sexpr{} again.
Felipe D. Carrillo
Supervisory Fishery Biologist
Department of
On Tue, May 25, 2010 at 3:09 PM, Ted Harding
wrote:
> It is OpenOffice 2.0 (as updated to openoffice.org-core,
> dfsg.2-7etch9 Sat Jan 16 2010) running on Linux (Debian Etch,
> originally installed Sept 2007), so none of it is particularly
> recent. The command to view the files is like:
>
> ooca
Through clicking on the xls file oocalc (OpenOffice spreadsheet module) is
automatically launched.
But in my case it cannot load it correctly regardless of my choices (separator,
etc..).
Maybe I should switch to another Linux distribution.
Thank you very much.
Maura
-Messaggio originale-
It is OpenOffice 2.0 (as updated to openoffice.org-core,
dfsg.2-7etch9 Sat Jan 16 2010) running on Linux (Debian Etch,
originally installed Sept 2007), so none of it is particularly
recent. The command to view the files is like:
oocalc Prostatic_Neoplasm-miRNAs.DiseaseTargets.xls
Ted.
On 25-Ma
Mao Jianfeng gmail.com> writes:
>
> Dear R-listers,
>
> I am new to R in linux. And, I am now confused by updating R in Ubuntu
> 9.10 linux system. I would like to seek some advice on that problem.
>
> I have done what are listed in CRAN linux installation guide:
>
> 1. add an entry like "deb
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