Dear administrator,
my name is Neda Nikiforova and I'm trying to post a question in R help . I
subscribed the list but it gives me the following problem:
This post has NOT been accepted by the mailing list yet
Is it possible to risolve this problem as soon as possible?
Thank you very much in a
This method handles cases where multiple columns are "Yes".
library(reshape2)
ddl <- melt( dd, id.vars = "PLTID" )
ddl[ is.na( ddl$value ), "value" ] <- ""
ddl <- ddl[ "Yes" == ddl$value, ]
result <- merge( dd[ , "PLTID", drop=FALSE ]
, ddl[ , c( "PLTID", "variable", "value" ) ]
Dear Dennis,
Assuming that your data.frame() is called dd, the following should get you
started:
colnames(dd[,-1])[apply(dd[,-1], 1, function(x) which(x == 'Yes'))]
HTH,
Jorge.-
On Sat, Nov 1, 2014 at 12:32 PM, Fisher Dennis wrote:
> R 3.1.1
> OS X
>
> Colleagues,
> I have a dataset containi
R 3.1.1
OS X
Colleagues,
I have a dataset containing multiple columns indicating race for subjects in a
clinical trial. A subset of the data (obtained with dput) is shown here:
structure(list(PLTID = c(7157, 8138, 8150, 9112, 9114, 9115,
9124, 9133, 9141, 9144, 9148, 12110, 12111, 12116, 12134
Here is an example of how you might do it:
> # read in all the data so you can break it apart.
> # it looks like there is head and then 17 lines of data
> data_in <-
readLines("C:\\Users\\jh52822\\Downloads\\analysis_mly_avg_1998.txt")
> indx <- 1L # start at the first line
> all_data <- NULL
>
Upananda,
I don't know your fut data, next time would help a simple dput(fut). Taking
into account the error message check the following:
library(PerformanceAnalytics)
df <- data.frame( sample(10)/100+100, seq(as.Date("2014-10-22"),
as.Date("2014-10-31"), by="day"))
str(df)
Return.calculate(df, "
Dear All,
I have a file the sample of which is attached. I was trying to read the
data and put it in a data frame. For example in this file, I have 1998 snow
depth data and each block of data belongs to one month.Each data point
belongs to a given latitude and longitude (which is in another fi
Hi All,
I want to convert my price data into natural log (continuously compounded
return) by using Performance Analytics Package, I am getting the following
error.
rfut = Return.calculate(fut)
Error in checkData(prices, method = "xts") :
Please help me.
With sincere regards,
Upananda
--
Thank you.
Original Message
Subject: Re: Sorting within a dataframe
From: "jfzeac [via R]" < ml-node+s789695n4699000...@n4.nabble.com >
Date: Thu, October 30, 2014 8:57 am
To: dodie < do...@statcourse.com >
Hi, a = data[order(data$x),] If you reply to this email, yo
Thankyou MacQueen and clint. I figured out. :)cheers,
Eliza
> From: macque...@llnl.gov
> To: eliza_bo...@hotmail.com; r-help@r-project.org
> Subject: Re: [R] lat/log to meter
> Date: Fri, 31 Oct 2014 16:14:30 +
>
> see spTransform() in the sp package
> (and ask on R-Sig-Geo)
>
> There is als
I do this a few times in the blotter package. Try:
Dates <- unique(do.call(c,c(lapply(foo, index), use.names=FALSE,
recursive=FALSE)))
On Fri, Oct 31, 2014 at 11:44 AM, ce wrote:
> Dear all,
>
> I have a list , and I want to get all indexes ( dates ) of xts objects in
> one list:
>
> foo<-lis
Dear all,
I have a list , and I want to get all indexes ( dates ) of xts objects in one
list:
foo<-list(A = xts(seq(2),seq(Sys.Date(),Sys.Date()+2,length.out=2)), B =
xts(seq(1),seq(Sys.Date()-2,Sys.Date()-1,length.out=1)) )
> foo
$A
[,1]
2014-10-311
2014-11-022
$B
see spTransform() in the sp package
(and ask on R-Sig-Geo)
There is also a function in one of the spatial-related packages to convert
lat/long in dms format to decimal, but I don¹t remember its name.
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 9455
Dear all,
I use R 3.1.1 for Windows.
I would like to use three-dimensional scatterplots to evaluate the agreement
among 3 laboratory methods in a set of 30 subjects (all subjects was
evaluated with each of the three methods), using a line of best fit (slope
and intercept) and the line of identity
Eliza,
Would transforming to UTM coordinates work?
Clint
Clint BowmanINTERNET: cl...@ecy.wa.gov
Air Quality Modeler INTERNET: cl...@math.utah.edu
Department of Ecology VOICE: (360) 407-6815
PO Box 47600FAX:
Since both of you seem to have misinterpreted my response, consider the
following for clarification:
A <- matrix(1:1000, 1000, 10)
B <- A[1:100, ]
# my recommended solution
t1 <- system.time({match(as.data.frame(t(B)), as.data.frame(t(A)))})
# similar to John's recommended solution
t2 <- system
Dear UseRs,Is there a way in R to convert latitude and longitude in
degree.minute.second to meter? (e.g. 45'55'')Thankyou very much in
Advance,Eliza
[[alternative HTML version deleted]]
__
R-help@r-project.
Try knitr::opts_knit$get('rmarkdown.pandoc.to')
Hadley
On Fri, Oct 31, 2014 at 6:56 AM, Michal Kvasnička wrote:
> Hi.
>
> Is there a way how to find out from within a .Rmd file what output format
> is generated?
>
> The reason is this: I write a paper in R markdown in RStudio. Sometimes I
> gene
This has worked for me to choose the type of code to use to create tables
whether it is pdf or hml/word
doc.type <-
strsplit(rmarkdown:::default_output_format("20141014_Regex_Rmarkdown.Rmd")$name,"_")[[1]][1]
where you would use your .rmd filename in place of
20141014_Regex_Rmarkdown.Rmd I haven
Yes, markdown is not LaTex. However, RStudio run pandoc that can convert
markdown to HTML, LaTeX, Word, and many other markup (or almost markup)
languages. The conversion to the first three mentioned works automatically
in RStudio.
But you are right in one thing: perhaps it is not a matter of knit
On Thu, Oct 30, 2014 at 8:10 AM, Ryszard Czermiński
wrote:
> For comparison exporting the same table as csv using "report export" in
> SalesForce
> takes about 1 minute.
>
> Any ideas why? and how to make it faster?
One idea is to export to CSV and load it yourself.
_
Dear Jeff,
For curiosity, I compared your solution with the one I posted earlier this
morning (when I was working on a slower computer, accounting for the somewhat
different timings for my solution):
snip --
> A <- matrix(1:1, 1, 10)
> B <- A[1:1000, ]
>
> system.
Thank you, Jeff, for your message.
I did a search, but maybe my problem was that I didn't know the correct way
to search my problem (in other words: my vocabulary in R/English is not
good). Because of this I choose to send a message to the list the most
detailed as possible, and with a first solu
Thank you for the reproducible example, but posting in HTML can corrupt your
example code so please learn to set your email client mail format appropriately
when posting to this list.
I think this [1] post, found with a quick Google search for "R match matrix",
fits your situation perfectly.
m
Great!! It is perfect!
Thank you, John, for this elegant and fast suggestion!
Best,
Charles
On Fri, Oct 31, 2014 at 2:35 PM, John Fox wrote:
> Dear Charles,
>
> How about the following?
>
> --- snip -
>
> > AA <- as.list(as.data.frame(t(A)))
> > BB <- as.list(as.data.frame(t(B
Dear Charles,
How about the following?
--- snip -
> AA <- as.list(as.data.frame(t(A)))
> BB <- as.list(as.data.frame(t(B)))
> which(AA %in% BB)
[1] 4 5
--- snip -
This seems reasonably fast. For example:
--- snip -
> A <- matrix(1:1, 1,
AFAIK markdown is syntactically incompatible with LaTeX, except for math mode
expressions. That is why we have separate extensions Rmd and Rnw for the two
types of files. I don't know where one could successfully make use of the
variable you are asking about.
My apologies, because I sent the message before finishing it. i am very
sorry about this. Please find below my message (I use to write the messages
from the end to the beginning... sorry :)).
Dear all,
I am trying to compare two matrices, in order to find in which rows of a
matrix A I can find th
A = matrix(1:10,nrow=5)
B = A[-c(1,2,3),];
So
> A
[,1] [,2]
[1,]16
[2,]27
[3,]38
[4,]49
[5,]5 10
and
> B
[,1] [,2]
[1,]49
[2,]5 10
I would like to compare A and B in order to find in which rows of A I can
find the rows of B. Somethin
Read the comments at the bottom of that blog post.
Note that copying your packages library and updating only works for minor
version upgrades... there is no shortcut for a 2.x to 3.x upgrade. That is not
your biggest problem though, since not all packages seem to make the jump
(become unavailab
> A solution on the link below provides the steps of updating R without losing
> packages in Unix.
> http://zvfak.blogspot.se/2012/06/updating-r-but-keeping-your-installed.html
>
> How could I do that on windows 7 platform?
See the R Windows FAQ, FAQ 2.8.
***
> I want to change R-3.1.1 to the default, so that when I type which R, I get
> /usr/local/R-3.1.1
Change your PATH to include the R 3.1.1 directory instead of the version 2
directory?
S
***
This email and any attachments are
Hi.
Is there a way how to find out from within a .Rmd file what output format
is generated?
The reason is this: I write a paper in R markdown in RStudio. Sometimes I
generate .html, sometimes .pdf. My paper presents a table of regression
models using stargazer function. I've got the following cod
A solution on the link below provides the steps of updating R without
losing packages in Unix.
http://zvfak.blogspot.se/2012/06/updating-r-but-keeping-your-installed.html
How could I do that on windows 7 platform?
Thanks
__
R-help@r-project.org mailin
After updating Java, I have to run R CMD javareconf. On Windows
64-bit, the java default updater has in the past removed the 64-bit
version as it updates that wanted for 32-bit browsers. The 64-bit
version needed reinstalling manually.
Paul Bivand
On 28 October 2014 18:43, Prof Brian Ripley wrot
The build system rolled up R-3.1.2.tar.gz (codename "Pumpkin Helmet") this
morning.
The list below details the changes in this release.
You can get the source code from
http://cran.r-project.org/src/base/R-3/R-3.1.2.tar.gz
or wait for it to be mirrored at a CRAN site nearer to you.
Binaries f
HiI have a probability mass function similar to pr(N=n)=
integral(((2-x)^n)*(exp(ax-2))) - integral (((5-ax)^n)), both integrals are
defined over the interval(0,2) with respect to x. I am going to estimate the
parameter (a) with method of maximum likelihood estimation. The loglikelihood
is :
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