similar to: Average over data sets

Hi, I'm having difficulty importing my textfile that looks something like this: #begin text file Timepoint 1 ObjectNumber Volume SurfaceArea 1 5.3 9.7 2 4.9 8.3 3 5.0 9.1 4 3.5 7.8 Timepoint 2 ObjectNumber Volume SurfaceArea 1 5.1

Hello, I'm new to R and would like to know how to create a vector of "rolling sums". (I have seen the Rmetrics package and the rollMean function and I would like to do the same thing except Sum instead of Mean.) I imagine someone has done this, I just can't find it anywhere. Example: x <- somevector #where x is 'n' entries long #what I would like to do is: x1

Dear R helpers! Let me first wish all of you "Merry Christmas and Very Happy New year 2011" "Christmas day is a day of Joy and Charity, May God make you rich in both" - Phillips Brooks ## ---------------------------------------------------------------------------------------------------------------------------- I have a process which generates number of outputs. The R code

Hello! I need some help, because I don't know how this error means: Error: variables ?Output1?, ?Output2?, ?Output3?, ?Output4?, ?Output5? were specified with different types from the fit Execution halted Can you help me? Thank You

R-helpers: I tried googling and couldn't find anything. I have a function I am sourcing into R that does some calculations to generate a simulated dataset. I currently have a a list set up to store the outputs from the function and a plot of one of them (a set of ordered pairs) like this: foo<-function(x,y,z){ ## do some work here ## list(x=x,y=y,z=z,output1=output1,output2=output2,

R-helpers: Assume that I want to create a series of sequentially named R objects. For example, I might want to call these objects V1, V2, V3 ... V50. To do this, I thought of some sort of looping function like: input.value <- seq(1:50) * 3 for(i in 1:50){ paste("V", i, sep="") <- input.value[i] } Of course this loop will not work since the paste function

I'm trying to figure out how to repeat a series of commands in R and have the outputs added to a dataframe after each iteration. My code starts this way... a<-read.csv("File1.csv") b<-read.csv("File2.csv")

Hi r users, I have two data sets (X1, X2). For example, time1<-c( 0, 8, 15, 22, 43, 64, 85, 106, 127, 148, 169, 190 ,211 ) outpue1<-c(171 ,164 ,150 ,141 ,109 , 73 , 47 ,26 ,15 ,12 ,6 ,2 ,1 ) X1<-cbind(time1,outpue1) time2<-c( 0 ,8 ,15 , 22 ,43 , 64 ,85 ,106 ,148) output2<-c( 5 ,5 ,4 ,5 ,5 ,4 ,1 ,2 , 1 ) X2<-cbind(time2,output2) I want to

i  want to print in the console and to have an excel file like this no_GWP                NbOfPolicyClass1[0-1000]     NbOfPolicyClass2[1000-3000]        NbOfPolicyClass3[> 3000] No_GWPMax=8    NbpolicyClass1=5                   NbpolicyClass2=4                            NbpolicyClass3 =3              i have do it like this:!!! data1 <-

I need some sort of utility to calculate a checksum of an Ogg file. Two differently encoded Ogg:s should give different checksums, but the same file with different tags should give the same result. (The serial number doesn't work here, obviously. I need something that is changed if a bit of the file is lost.) -- Björn Lindström <bkhl@elektrubadur.se> http://bkhl.elektrubadur.se/

Hi,there I'm doing some R batch jobs in Unix. Something like R <prog1> output1 --save & R <prog2> output2 --save & prog1 and prog2 are running at the same time and they are essentially same except it contains different parameter values. I was wondering if two processes will affect each other? Hopefully they are two independent jobs. It's a beginner's question

Dear all: I'm trying to fit the optimal Box-Cox transformation related to nls (see the code below) for the demand of money data in Green (3th Edition) but in the last step R gives the next error message. Error en `[.data.frame`(eval(object$data), , as.character(formula(object)[[2]])[2]) : undefined columns selected. ?Any idea to solve the problem? Thanks in advance,

Hi all, I have a function - let's call it "myfunction". This function is based on some random number generator. Now, once in a while the function will break/crash depending on the random number it generate inside the function. To avoid the problem, what I intend to do is the following: 1. Catch the try-error using class. 2. Redo the function if it returns "try-error" 3.

Hello I tried to define replacement functions for the class "mylist". When I test them in an active R session, they work -- however, when I put them into a package, they don't. Why and how to fix? make_my_list <- function( x, y ) { return(structure(list(x, y, class="mylist"))) } mylist <- make_my_list(1:4, letters[3:7]) mylist mylist[['x']] <- 4:6

Hello, I have various datasets of zoo time series (merged into single frames via the "merge" command) such as date var0 var1 var2 var3 08/07/1996 652.54 0.223922 0.515819 0.502638 08/08/1996 662.59 0.997841 0.000383 0.999806 06/09/1996 655.68 0.901685 0.569763 0.866333 08/10/1996 700.64 0.268855 0.244701 0.329285 08/11/1996 730.82 0.438407 0.501427 0.461374

I can define a list containing NULL elements: > myList <- list("aaa",NULL,TRUE) > names(myList) <- c("first","second","third") > myList $first [1] "aaa" $second NULL $third [1] TRUE > length(myList) [1] 3 However, if I assign NULL to any of the list element then such element is deleted from the list: > myList$second <-

Hi, I'm pretty new to R. I have an object (say a list) and I I have a function that I call on various columns in that list (excuse terminology if it's wrong/ambiguous). Imagine its like this (actual values are unimportant) and called mylist: >mylist A B 1 5 2 5 3 6 4 8 5 0 I have a function: foo = function(param){ #modify list A or B values depending on

Hi, I'm have a list of integer vectors and I want to perform an outer() like operation on the list. As an example, take the following list: mylist <- list(1:5,3:9,8:12) A simple example of the kind of thing I want to do is to find the sum of the shared numbers between each vector to give a result like: result <- array(c(15,12,0,12,42,17,0,17,50), dim=c(3,3)) Two for() loops is the

Dear R users, Let's say I have a list with components being 'm' matrices (as exemplified in the "mylist" object below). Now, I'd like to subset this list based on an index vector, which will partition each matrix 'm' in 2 sub-matrices. My questions are: 1. Is there an elegant way to have the results shown in mylist2 for an arbitrary number of matrices in mylist?

Hi I have a list : mylist <- list( a = NULL, b = 1, c = 2 ) > mylist[1] $a NULL > is.null(mylist[1]) [1] FALSE > is.null(mylist$a) [1] TRUE why? I need to use mylist[1]