similar to: question about using _apply and/or aggregate functions

Hello. Please forgive me if this problem has already been posted (and solved) by someone else ... I can't find it anywhere though it seems so very basic. Here it is: I have a list comprised of several matrices, each of which has two columns. > list [[1]] [,1] [,2] [1,] 1 3 [2,] 2 4 [[2]] [,1] [,2] [1,] 5 7 [2,] 6 8 [[3]] [,1] [,2]

I have a dataset of the form below, consisting of one unique ID per row, followed by a series of visit dates. At each visit there are values for 3 dichotomous variables. Of the 8 different possible combinations of the three variables, 4 are "abnormal" and the remaining 4 are "normal". Everyone starts out abnormal, and then either continues to be abnormal at subsequent visits,

Dear R Users, I want to make a call from R into C++. My inputs are List1, List2, List3, IntegerID. The amount of elements of the lists and their type depend on IntegerID. Typical elements of a given list can be vectors, doubles, and even other lists. I want to return also a list (whose nature will depend also, possibly, on IntegerID). What I want to do is to call these 4 inputs from C++ and then

I have a vector d of unknown length, and a list b of unknown length. I would like to replace every element of b with d. Simply writing b<-d does not work as R tries to fit every element of d to a different element of d, and b<-rep(d,length(b)) does not work either as it makes a list of length length(d)*length(b) not a list of length(b). I know how to do this with a for loop, but I feel that

Hi all. I'd like to define an object within a function based on an argument to that function. Specifically, I've got: do.something<-function(input){ id<-substring(input,3,3) j<-list1 if(id==2)j<-list2 if(id==3)j<-list3 if(id==4)j<-list4 ...} Instead of all these if() arguments, I was hoping to use something like:

I know that if I have a function that returns multiple values, I should do return(list(foo, bar)). But what do I do on the recieving end? fn <- function(x) { return(list(foo, bar)) } I know that at this point I could say values.list <- fn(x) and then access values.list[1] values.list[2] But that's hideous. I'd rather be able to say something like list(local_foo, local_bar)

Hi, Try this: el<- read.csv("el.csv",header=TRUE,sep="\t",stringsAsFactors=FALSE) ?elsplit<- split(el,el$st) ? datetrial<-data.frame(date1=seq.Date(as.Date("1930.1.1",format="%Y.%m.%d"),as.Date("2010.12.31",format="%Y.%m.%d"),by="day")) elsplit1<- lapply(elsplit,function(x)

I am experimenting with some of the common r functions. I had a question re:using "gsub" (or some similar functions) on the contents of a list. I want to design a function that looks at "everything" contained din a list, and anytime it finds the text string "pattern" replace it with "x". I also wish to preserve the "structure" of the original

The DoubleRenderError exception recently introduced is forcing me to go back and rewrite my apps authentication handler. Before I could do a redirect right in the middle of a request. Whatever was happening after that went unnoticed, I assumed it was simply ending the request after the redirect was called, but apparently it was going on and rendering the page. Why can''t a redirect

Hi all: I have created a MS Access table named 'PredictedValues' through the statement below: myDB <- odbcConnectAccess("C:/Documents and Settings/Owner/Desktop/Rpond Farming.mdb",uid="admin",pwd="") sqlSave(myDB,PredictedValues,rownames=FALSE) close(myDB) But if I run the code again with new values I get the message below: Error in sqlSave(myDB,

Dear R-help, I am attempting to plot data using standard R plot utilities. The data was retrieved from FRED (St. Louis Federal Reserve) using the package quantmod. My question is NOT about quantmod. While I retrieve data using quantmod, I am not using its charting utility. I have been having success using the standard R "plot" utilities to this point with this type of data.

Hi all, We are a Java development team, but we are considering rails for our next project. However in this webapplication I need to do a fair amount of charting. In Java we used JFreechart (http://www.jfree.org/jfreechart/index.php) for this purpose. What are my options for charting in Ruby? Regards, Harm de Laat -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi- I need to create simple charts on the fly - I had used JFreeChart in the past with inJ2EE apps. Is there any equivalent here for Ruby. My charting needs are simple: just line charts. Also if anyone has done this, pls let me know how I should go about in doing it. Thanks -- Posted via http://www.ruby-forum.com/.

Dears Sirs During my computational work I encountered unexpected behaviour when calling "ar" function. I want to select the order p of the autoregressive approximation by AIC criterion and sometimes an error occurs. Example: # time series

I've succeeded in running the wonderful charting program OziExplorer (3.85.3c), http://www.oziexplorer.com/ , on LINUX (RedHat 6.2) using WINE 20010112. The times to load the program and to load a map did take 5 to 8 times longer using WINE than they did using WIN95. I was able to enable the serial port and have the position computed by my GPS displayed on the chart. OziExplorer is a

Hi all, This might be OT. Wondering what are available charting solutions that work well with Ruby on Rails. I''ve seen reference to a few but they all seem to rely on integration with a program written in another language (requiring a seperate process per chart), Perl''s GD module for instance. Is there a 100% Ruby charting library that is freely available? Thanks, Dave

Hi, I'm writing some code that will eventually see its way to a package (I hope). I've noticed that some functions are not set up using generic methods (while similar functions are). For example, mean is a generic method but var is not. Other operations that I've come across that could benefit from being generic are: qqplot, cor, cov, optimize/optimise. For example, if one were

Dear all, I stumbled upon what appears to be a troublesome issue when sampling from an ARIMA model (from Rob Hyndman's excellent 'forecast' package) that contains a seasonal AR component. Here's how to reproduce the issue. (I'm using R 2.9.2 with forecast 2.19; see sessionInfo() below). First some data: > x <- c( 0.132475, 0.143119, 0.108104, 0.247291, 0.029510,

I have just installed the 64 bit version of R, using yum. The version is: 2.6.2-1.fc7.1.x86_64. I installed zoo without any major problem and the same with quadprog (a few warnings). However, when I came to install tseries I get the following: install.packages() Warning in install.packages() : argument 'lib' is missing: using

This site gives away a free stock/currency charting app for Windows: http://www.marketbrowser.com/get_it.asp I got around the InstallShield problem by installing the app in Windows and then I copied the app's folder from Program Files directly to Program Files in my ~/.wine directory--and it worked perfectly on the first try. Amazing. And wine even made a working shortcut on my gnome