similar to: global objects not overwritten within function

Dear folks, I?m trying to build a function to create and make available some variables I frequently use for testing purposes. Suppose I have a function that takes some inputs and creates (internally) several named objects. Say, fun1 <- function(x, y, z) {obj1 <- x; obj2 <- y; obj3 <- z <missing stuff> } Here is the challenge: After I run it, I want the objects to be

Dear R users, I have a column with dates (character) in a data frame: 12-Jan-01 11-Jan-01 10-Jan-01 9-Jan-01 8-Jan-01 5-Jan-01 and I need to convert them to (Julian) dates so that I can sort the whole data frame by date. I thought it would be very simple, but after checking the documentation and the list I still don't have something that works. 1. as.Date returns the error below. What am I

Dear useRs, I have a data frame and I want to plot all rows. Each row is represented as a line that links the values in each column. The plot looks like this: dfr <- data.frame(A=sample(1:50,10),B=sample(1:50,10), C=sample(1:50,10),D=sample(1:50,10)) xa <- 10*1:4 plot(c(10,40),c(0,50)) for (i in 1:nrow(dfr)) { lines(xa,dfr[i,],pch=20,type="o") } Things get more complicated

Classification: UNCLASSIFIED Caveats: NONE Thanks for your quick response. The program you mentioned below available from R is based on number of runs (up or down) not based on a longest length of runs of same events. To be more specific, for example, from a series, HHTHTTTTHHH, the number of runs are 5, and the longest length of runs of the same events is 4. I'll check for the website you

Dear R community, I tried to optimized my R code by using Rprof. In my R code I'm using MySQL database connections intensively. After a bunch of queries R fails with the following error message: Error in .Call("RS_MySQL_newConnection", drvId, con.params, groups, PACKAGE = .MySQLPkgName) : RS-DBI driver: (could not connect mylogin@mydatabase on dbname "myDB"

Dear R users, I need to rename the columns of a series of data frames. The names of the data frames and those of the columns need to be pulled from some vectors. I tried a couple of things but only got errors. What am I missing? #---create data frame dframes <- c("a","b","c") assign(dframes[2],data.frame(11:20,21:30)) #---rename the columns cols <-

Hello, Please forget me if I am asking something that is well documented. I have read documentation but there are points that are not clear for me. I am not expert in R nor Databases, but if someone direct me to a tutorial, I will appreciate it.. 1. In my understanding, I can install and use RMySQL withouth having to install MySQL in my PC, to have access to and to create new tables . Is this

Hi everyone, have a small problem trying to converting a dataset in matrix form to an array. Specifically: data include 3D measurement -x,y,z of 59 points in 36 objects. They are stored as a matrix (x) of 2124 rows and 3 columns. What I want to do is to extract each subject's dataset using an array (b). Accordingly, I tried the following command: b<-array(a,c(59,3,36)). The problem is

Dear useRs, How come the first attempt to sort a POSIXt vector fails (Error: non-atomic type in greater), while the second succeeds? (Code inserted below.) The documentation says that POSIXt is used to allow operations such as subtraction, so I'd expect sorting to work. Is this perhaps an OS issue? (I run R 2.0.1 on Win xp.) Thank you, b. #------------code test <- c("2005-02-08

Dear useRs, Given this code I end up with a list of class "by": a <- sample(1:5,200,replace=TRUE) b <- sample(c("v1","v2","v3"),200,replace=TRUE) c <- sample(c(11,22,33),200,replace=TRUE) data <- runif(200) grouped <- by(data,list(a,b,c),function(x) {c(min=min(x),max=max(x), median=round(median(x),digits=2),mean=round(mean(x),digits=2))})

I have a large R program that I am constantly running over and over again. At the beginning of this program, I create a hige matrix and a huge dataframe but these are constant. What I mean by constant is that, if I run the program over later, I really should just use the old matrix and dataframe ( if they exist ) that were created in a previous run so that the program doesn't have to spend

Hi, is there a way to reference to a data object without copying it? For example I have a huge matrix called dist and I want two objects obj1 and obj2 to have a memeber dist that points to the matrix, but I don't want, for memory reasons, to copy the matrix twice. As far as I understand the following code will generate three copies of my data: dist <- some_code_that_generates_data

Hello, everyone! I picked up R several months ago and have adopted it as my choice for statistical programming. Coming from a Java background, I can honestly say that R is not only free, it is better tha S-plus: the lexical scope in R makes it very simple to simulate Java's object model. For this, I encourage everyone to read the artcle: Robert Gentleman and Ross Ihaka (2000) "Lexical

I need the function all.equal which is in Splus but not yet in R. Below is a first cut. Comments would be appreciated. Paul Gilbert _______ all.equal <- function(obj1, obj2, ...) {if(mode(obj1) != mode(obj2) ) return("modes differ.") if(class(obj1) != class(obj2)) return("classes differ.") if(! all(unlist(attributes(obj1)) ==

Hi all, I have a problem while subsetting a dataframe that is while I am using *%in%* condition like *stemp<-subset(temp, obj1 %in% obj2,select=c(temp))* this is working and giving results that what ever is there is both *obj1*and *obj2* ** ** but I want to get values which is there in *obj1* but not in *obj2 * can anyone help me how to get those values. i tried with *%o%* but i am not

I have a generic function test.equal <- function(obj1, obj2, ...) UseMethod("test.equal") however, the only argument that specific methods use is "fuzz" so I would like to change this to test.equal <- function(obj1, obj2, fuzz=???) UseMethod("test.equal") The problem is that some methods use slightly different default values for fuzz than others. How should

Hi All, My group is looking for any suggestions on what to purchase to achieve the most powerful number crunching system that $50k can buy. The main application that will be used is R so input on what hardware benefits R most will be appreciated. The requirements are that it be a single standalone server (i.e. not a cluster solution), and it that must be able to run unix/linux. If

hi, say I have consecutively numbered objects obj1, obj2, ... in my R workspace. I want to acces one of them inside a function, with the number given as an argument. Where can I find help on how to do that? Somebody must have been trying to do this before... Some keywords to start a search are appreciated as well. Here's an example, I hope it clarifies what I'm trying to do: obj1 <-

Dear useRs, I'm wondering why the for() loop below runs slower as it progresses. On a Win XP box, the iterations at the beginning run much faster than those at the end: 1%, iteration 2000, 10:10:16 2%, iteration 4000, 10:10:17 3%, iteration 6000, 10:10:17 98%, iteration 196000, 10:24:04 99%, iteration 198000, 10:24:24 100%, iteration 200000, 10:24:38 Is there something that can be done about

Hello, Before I get into troubles I ask here: I make a call to a C function using .C. What I would like to know is if the arguments in the .C call can also be 'temporary' objects. An example will illustrate this: # here we don't have a temporary Obj1 = 5 .C("Func", as.integer(Obj1 ), ...) # certainly works # here we do have a temporary Obj2 = 5 .C("Func",