[R] Simple time series questions

I'm sure this is a really simple problem, but I've spent hours digging and I keep running into roadblocks. I'm trying to get a simple chart with three time series. Similar to the attached example http://www.nabble.com/file/p25398419/Excel%2Bchart%2Bexample.pdf Excel+chart+example.pdf , somethin

Re: [R] Simple time series questions

Thanks - that works great. Do you have any suggestions about the grid() problem - i.e. that the vertical gridlines do not line up with the x-axis tickmarks (which are years)? I can't see on what basis the vertical gridlines are being positioned, but it doesn't look good that they are not lined u

Re: [R] R 2.9.2 memory max - object vector size

At the risk of stating the obvious: - rm(.) # clears specific objects out of memory as soon as they're no longer needed in the routine. - sapply(ls(), function(x) object.size(get(x))) #lists all objects with the memory each is using. - rm(list=ls()) #clears out all objects, e.g. be

Re: [R] Problems with Boxplot

Hi Petr, Thanks for these comments. I'm sorry that my post was not clear. I was referring to the questions in my original post/code/file uploads, but I had forgotten to include an updated file (now attached http://www.nabble.com/file/p25304663/Post%2Btrial%2Bdata.csv Post+trial+data.csv ) to w

Re: [R] Problems with Boxplot

xis formatting being fixed) is: testdata<- c("C:\\Files\\R\\Sample R code\\Post trial data.csv") new_data<- read.table(testdata, skip = 0, sep = ",", na.strings = "na",header = TRUE) x11(width=16, height=7, pointsize=14) boxplot(new_data,outline = FALSE, col = c("

[R] Problems with Boxplot

Hello, I have been having difficulty getting boxplot to give the output I want - probably a result of the way I have been handling the data. The data is arranged in columns: each date has two sets of data. The number of data points varies with the date, so each column is of different length. I

Re: [R] How to list R object properties & save workspace?

Hi Matej, You can also try: sapply(ls(), function(x) object.size(get(x))) or eapply(.GlobalEnv, object.size) which list all objects - as with ls() - but giving their sizes. I'm also quite new to R so am not sure which other properties you could hope to get out of it, but by substituting an

Re: [R] Clearing out or reclaiming memory

Thanks to everyone who has posted. These posts have really helped me to budge forward my understanding of R, as well as giving me a couple of new areas that I still need to work on. These (below) won't be news to the people who have posted, but for anyone who is in my position, here are a couple

Re: [R] Clearing out or reclaiming memory

Thanks - that's great. A combination of "object.size", "rm" and "gc" seems to be enough for me to work out what was causing the problem and then get beyond it. In particular, using "rm" on the result of the multiple regression seems to make a big difference: it wasn't obvious to me before, but o

[R] Clearing out or reclaiming memory

Hello, Is there a command for freeing up the memory used by R in holding data tables? The structure of the procedure I have is as follows: 1) Read multiple txt files in using read.table(...). 2) Combine the read tables using rbind(...). 3) Attach the data using attach(...) and then use do a

[R] Warning messages when using rbind

Hello, I have been using a very simple rbind approach (simple enough for me to understand) to combine data files within R. It seems to work fine, but then generates warning messages for reasons that I can't begin to understand. The text below shows the issue. testread12=read.table("C:/Files/

Re: [R] Maximum number of tables combined with rbind

Thanks David - you're right, "PC" is not very informative. I am using XP Home with 4GB, though I don't think XP accesses more than 3GB. >From following through the FAQ's and memory functions (e.g. "memory.limit(size = NA)") it looks like R is getting about 1535Mb at the moment. David Winsemius

[R] Maximum number of tables combined with rbind

Hello, I have been using read.table to read data files into R, then rbind to combine them into one table. The column headings are all identical, so it should be straightforward, and it seems to be working well so far. My question is: What is the maximum number of tables that can be combined wit

[R] Getting started,

Hello, First of all, I'm new to R and I don't have anyone who already knows the language to ask for tips, so please excuse my ignorance. I'm trying to download data direct from the Federal Reserve statistics website and graph it, using the following: #This downloads the data from the Fe