Hi,
You didn't provide a reproducible example. If your dataset is something like
this:
set.seed(495)
DataSeries <- data.frame(Date=seq(as.Date("2001-01-01"),by="1 day",
length.out=20), A= sample(10,20,replace=TRUE), B= rnorm(20))
###Using your codes:
Matrix_New1 <-
cbind(as.list(DataSeries[,
I have just test the package on Ubuntu 12.04, everything is OK.
So please provide the error message on your computer.
Best,
KK
On Sat, Apr 5, 2014 at 9:02 PM, David Winsemius wrote:
>
> On Apr 5, 2014, at 1:50 AM, Srinivasan, Sathish K wrote:
>
> > Hi all,
> > Does anyone have issues installi
On Apr 5, 2014, at 1:50 AM, Srinivasan, Sathish K wrote:
> Hi all,
> Does anyone have issues installing multic package
> (http://cran.r-project.org/web/packages/multic/index.html) on ubuntu.
After doing a search on rhelp and r-sig-debian yours seems to be the first.
Shouldn't you be providing
On Apr 5, 2014, at 9:51 AM, Kate Ignatius wrote:
> I'm trying to work out the average of a certain value by chromosome.
> I've done the following, but it doesn't seem to work:
>
> Say, I want to find average AD for chromosome 1 only and paste the
> value next to all the positions on chromosome 1
Hi,
does the following help you?
Thomas
require(deSolve)
SEIR <- function(t, x, p) {
if (t < 7)
xlag <- x
else
xlag <- lagvalue(t - 7)
V <- ifelse(xlag[3]/sum(xlag) > 0.01, 0.25, 0)
## uncomment the following for printing some internal information
#cat("t=", t, " -- ")
I'm trying to work out the average of a certain value by chromosome.
I've done the following, but it doesn't seem to work:
Say, I want to find average AD for chromosome 1 only and paste the
value next to all the positions on chromosome 1:
sam$mmad[sam$chrom == '1'] <-
(sam$ad)/(colSums(sam[c(1:nr
I'm not doing a Manhattan plot, but plotting AD (coloured by DP) along
the genome:
points <- ggplot(sam,aes(x = midpoint,y = ad, colour = dp, size = 3)) +
geom_point() +
scale_y_continuous(breaks=c(0,20,30,40)) +
labs(x = "chr",y = "ad") +
scale_colour_gradient2(high="red", mid="green")
If you use knitr, you can do, in master.Rnw
<>=
@
This is the equivalent of \input{} (but not \include{}) at the .Rnw level.
At any rate, if you have more than just a few code chunks, you should
do your work in master.Rnw and produce master.tex from that using
either sweave() or knitr()
-M
On
Thanoon,
Firstly, please remember to reply to the R help list as well so that other
may benefit from your questions as well.
Regarding your second request, I have written the following as a very naive
way of inducing correlations. Hopefully this makes it perfectly clear what
you change for diffe
Thanks, Duncan. Using names is certainly the most reliable solution,
but requires remembering to modify the "surrounding code" when
enhancing what's within -- a bug risk source when passing on the code.
Are you saying that an automatic reversal as follows may break in the
future because R-devel may
Hi all,
Does anyone have issues installing multic package
(http://cran.r-project.org/web/packages/multic/index.html) on ubuntu. Also,
there is no active support for windows binary version. Could any one please
help me install multic package on ubuntu 12.04, 64 bit system running with R
2.14.2 v
Thanks, Rui.
It works great.
Atem.
On Saturday, April 5, 2014 4:46 AM, Rui Barradas wrote:
Hello,
Maybe the following will do.
dat <- structure(...)
aggregate(dat[5:8], dat[c(1, 2, 4)], FUN = mean)
Hope this helps,
Rui Barradas
Em 05-04-2014 06:37, Zilefac Elvis escreveu:
> Hi,
>
> I hav
Le samedi 05 avril 2014 à 14:16 +0100, Prof Brian Ripley a écrit :
> UTF-8 is treated specially by readLines(), originally to allow for UTF-8
> strings on Windows. See the NEWS for 2.12.0.
>
> That is not the case for encoding = "latin1".
>
> If you have a Latin-1 file in a UTF-8 locale, then
>
UTF-8 is treated specially by readLines(), originally to allow for UTF-8
strings on Windows. See the NEWS for 2.12.0.
That is not the case for encoding = "latin1".
If you have a Latin-1 file in a UTF-8 locale, then
readLines(x, encoding = "latin1")
stores the strings in Latin-1 and marks the
Hi!
I'm wondering what's the use of the 'encoding' argument to readLines(x),
as opposed to readLines(file(x, encoding=)). The same question applies
to read.table()'s 'encoding' vs 'fileEncoding' arguments. AFAIK only the
latter is able to re-encode the read text into the internal
representation us
Hello,
Maybe the following will do.
dat <- structure(...)
aggregate(dat[5:8], dat[c(1, 2, 4)], FUN = mean)
Hope this helps,
Rui Barradas
Em 05-04-2014 06:37, Zilefac Elvis escreveu:
Hi,
I have daily data arranged by date and site. Keeping the number of columns as
there are, I will like t
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