similar to: confusion with R syntax

I am constructing plots ( regular not lattice ) and my initial command is par(mar=c(3,4,2,2), mfcol=c(5,2)) and then I create 10 plots on the page. It looks great but the plots on the page go in the order 1 6 2 7 3 8 4 9 5 10 Where the numbers denote decile breakdowns. Is there an easy way to make them go from left to right so 1 2 3 4 5 6 7 8 9 10 I could try

I have index ( of a vector ) values of say tempin<-c(1 31 61 91 121 all the way upto 1411) What I want is a function that takes in a number say, x = 5, and gives me an new vector of tempout<-1 6 31 36 91 96 121 126 .......... 1411 1416 This can't be so hard but I can't get it and I've honestly tried. Obviously, tempin + 5 gives me the missing values but I

I was going through the example below which is taken from the example section in the R documentation for accessing the function call stack. I am confused and I have 3 questions that I was hoping someone could answer. 1) why is y equal to zero even though the call was done with gg(3) 2) what does parents are 0,1,2,0,4,5,6,7 mean ? I understand what a parent frame is but how do the #'s relate

does anyone know how to put a column name on a zoo object. I think achim and gabor are off line or they have gotten totally tired of me an decided to ignore me ( which is totalyy understandable ). logbidask<-log((aggfxdata[,"bid"] + aggfxdata[,"ask"])/2.0) logbidask doesn't have a name and I can't figure out how to get one on it ? aggfxdata is a zoo object.

Dear all R users, I have a small doubt about panel data analysis. My basic understanding on Panel data is a type of data that is collected over time and subjects. Vector Autoregressive Model (VAR) model used on this type of data. Therefore can I say that, one of statistical tools used for analysis of panel data is VAR model? If you clarify my doubt I will be very grateful. Thanks and regards,

I have the code below which gives me what I want for temp based on logvec but I was wondering if there was a shorter way ( i.e : a one liner ) without having to initialize temp to zeros. This is purely for learning purposes. Thanks. logvec <- c(TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE) temp<-numeric(length(invec)) temp[invec]<-which(invec) temp [1] 1 0 0 4 0 0 7 0 obviously, the

Hello, I do some computations on datasets that come from climate models. These data are huge arrays, significantly larger than typically available RAM, so they have to be accessed row-by-row, or rather slice-by slice, depending on the task. I would like to make an R package to easily access such datasets within R. The C++ backend is ready and being used under Windows/.Net/Visual Basic, but I have

Hello, Sorry to all for the lack of communication, and thanks to those with the suggestions. So I have two matrixes which are different sizes, same column number but different row number. What I would like to do is to compare A to B. In the 6 and 9th column there are ref numbers (molecular masses to be exact). I would like to check A and B by these columns. If I find that the number in A[9,x]

Hi, Having several daily wind speed time series I want to extract those consecutive days over and below certain values (i.e. 5 < x <8) Don't know which funtion to use (aggregate, lapply?) and how to do it. Thanks in advance Antonio

Hi! I've made great progress in my R programming, but I am again stuck on a beginner's problem. I would like to start R with a command line that loads a file, and if possible, executes a function. Can anyone give me an example of how to do this? For example, in lisp, I would say: $ lisp -load toto.lisp -eval '(do-something $PORT)' to load the file "toto.lisp", then

Greetings, I'm learning R and I'm stuck on a basic concept: how to specify a logical condition once and then perform multiple transformations under that condition. The program below is simplified to demonstrate the goal. Its results are exactly what I want, but I would like to check the logical state of gender only once and create both (or any number of) scores at once.

Hello, We would like to begin discussions around a new set of intrinsics, to better express multi-dimensional array indexing within LLVM. The motivations and a possible design are sketched out below. Rendered RFC link here <https://github.com/bollu/llvm-multidim-array-indexing-proposal/blob/master/RFC.md> Raw markdown: # Introducing a new multidimensional array indexing intrinsic ## The

i'm doing a bar plot and there are 16 column variables. is there a way to make the variable names go down instead of across when you do the barplot ? because the names are so long, the barplot just shows 3 names and leaves the rest out. if i could rotate the names 90 degrees, it would probably fit a lot more. or maybe i can use space to make the horizontal width longer ? I looed up ?barlot but

Dear all R users, I am really struggling to determine the most appropriate lag order of ARIMA model. My understanding is that, as for MA [q] model the auto correlation coeff vanishes after q lag, it says the MA order of a ARIMA model, and for a AR[p] model partial autocorrelation vanishes after p lags it helps to determine the AR lag. And most appropriate model choosed by this argument gives

I have a vector of character strings such as mainnames<-c("CAD","AUD") and another vector say checknames<-c("CAD.l1","AUD.l1","JPY.l1","EUR.l1","CAD.l2","AUD.l2","JPY .l2","EUR.l2") I want a new vector of character strings that is just

Am Mo., 22. Juli 2019 um 10:50 Uhr schrieb Doerfert, Johannes <jdoerfert at anl.gov>: > Why introduce a new intrinsic (family)? It seems that would require us > to support GEPs and GEP + "multi-dim" semantics in various places. What is > the benefit over a GEP extension? Adding an intrinsic is easier than adding or extending an existing instruction, as suggested by

I have the code below and it works fine if I print the xyplot but if I take the print out, then I just get a blank pdf. The same holds if I just send the plot to the console without the print ( I get nothing ). My question is whether this is always the case with xyplot or is there something wrong with my settings ? I am on linux ( redhat ) and using R.2.5.0. Thanks. load("stocks.dat")

Dear all, I found a difference between the indexing of an array and that of a matrix when there are NA's in the index array. The screen copy is as follows. > A <- array(NA, dim=6) > A [1] NA NA NA NA NA NA > idx <- c(1,NA,NA,4,5,6) > B <- c(10,20,30,40,50,60) > A[idx] <- B > A [1] 10 NA NA 40 50 60 > AA <- matrix(NA,6,1) > AA [,1] [1,] NA [2,]

I did a ?do.call but i don't think i understand it. if a, b,c,d are numeric vectors then could someone explain the difference between do.call("cbind",list(a,b,c,d)) and cbind(a,b,c,d). or point to an archive on it. the return value of cbind is a matrix or dataframe depending on what is sent in but i don't understand wheen it would be useful to use do.call. i realize it

Andrew, your response highlights a naming problem in LLVM, which is that "array" and "vector" mean the same thing in normal computer language and compiler theory usage, so it is inconvenient and misleading within LLVM to give one a very specific meaning that is different from the other.... to the LLVM developers I would suggest using the term