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Sorry guys. I was in a hurry and forgot to include the url. Just click <a href="http://wxruby.rubyforge.org/wiki/wiki.pl?Frames_(Part_1)">here</a> or enter in this url: http://wxruby.rubyforge.org/wiki/wiki.pl?Frames_(Part_1) Ugh! Robert _________________________________________________________________ Stop worrying about overloading your inbox - get MSN Hotmail Extra Storage! http://join.msn.com/?pgmarke...

...es slower than pqR-2019-01-25. (For a partial match, like df$xy, R-3.5.2 is 34 times slower.) I wasn't surprised that pqR was faster, but I didn't expect this big a difference. Then I remembered having seen a NEWS item from R-3.1.0: * Partial matching when using the $ operator _on data frames_ now throws a warning and may become defunct in the future. If partial matching is intended, replace foo$bar by foo[["bar", exact = FALSE]]. and having looked at the code then: `$.data.frame` <- function(x,name) { a <- x[[name]] if (!is.null(a)) return(a)...

Dear R-listers: I am trying to work with a big (262 Mb) file but apparently reach a memory limit using R on a MacOSX as well as on a unix machine. This is the script: > type=list(a=0,b=0,c=0) > tmp <- scan(file="coastal_gebco_sandS_blend.txt", what=type, sep="\t", quote="\"", dec=".", skip=1, na.strings="-99", nmax=13669628)

Dear All, Hope I am not bumping into a FAQ, but so far my online search has been fruitless I need to read some data file using R. I am using the (I think) standard command: data_150<-read.table("y_complete06000", header=FALSE) where y_complete06000 is a 6000 by 40 table of numbers. I am puzzled at the fact that R is taking several minutes to read this file. First I thought it may

...w names on sub-setting) that > can be problematic in terms of memory use. Probably better to > use a matrix, for which: > > 'read.table' is not the right tool for reading large matrices, > especially those with many columns: it is designed to read _data > frames_ which may have columns of very different classes. Use > 'scan' instead. > > (from the help page for read.table). I'm not sure of the > details of the algorithms you'll invoke, but it might be a > false economy to try to get scan to read in 'small' vers...

Hello, I have a large data set 320.000 rows and 1000 columns. All the data has the values 0,1,2. I wrote a script to remove all the rows with more than 46 missing values. This works perfect on a smaller dataset. But the problem arises when I try to run it on the larger data set I get an error “cannot allocate vector size 1240 kb”. I’ve searched through previous posts and found out that it might

...w names on sub-setting) that > can be problematic in terms of memory use. Probably better to > use a matrix, for which: > > 'read.table' is not the right tool for reading large matrices, > especially those with many columns: it is designed to read _data > frames_ which may have columns of very different classes. Use > 'scan' instead. > > (from the help page for read.table). I'm not sure of the > details of the algorithms you'll invoke, but it might be a > false economy to try to get scan to read in 'small' vers...