[R] How to create separate plots for all combinations of some factors

Hi, All I have a data frame as follows: > data.class(tapes) [1] "data.frame" > names(tapes) [1] "date""loc" "class""drp" "data""scratch" "reclaim" "total" Date is a date; loc, class and drp are factors; the rest are numerics. I want to generate separate plots by date for t

[R] By= levels with the Hmisc summarize function.

Hi, All I have a data frame as follows: > attach(mf) > names(mf) [1] "centre" "complex" "appl" "pool" "month""alloc_gb" I want to summarize this as follows: agg<-summarize(alloc_gb,by=llist(centre,complex,appl,month),FUN=sum, na.rm=TRUE) That seems to run fine but there somethin

[R] How to make a time series object from a data frame containing dates.

Hi, All I have a data frame like this. > names(x) [1] "month""alloc_gb" One of the columns contains the dates I want to use: > data.class(x$month) [1] "yearmon" I would like to make a time series object out of this. However the ts function seems to require me to spell out the starting date

Re: [R] How to apply a function to all combinations of the values of 2 or more variables?

Phil: thank you very much, that's exactly what I was looking for! Why I couldn't have figured that out from the doc for myself is another question:-) -Jim -Original Message- From: Phil Spector [mailto:spec...@stat.berkeley.edu] Sent: 2009, April, 15 1:21 PM To: Lane, Jim S

[R] How to apply a function to all combinations of the values of 2 or more variables?

Hi, All Forgive me if this is a stupid newbie question. I'm having no luck googling an answer to this, probably because I don't know the right R terminology to frame my question. I want to know how to run an R function on each combination of the values of 2 or more variables. In SAS-speak this is

[R] How to concatenate values from a time series and a forecast

Hi, All I have a time series object: o1ts Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2005 56 58 67 68 69 71 78 78 2006 84 83 86 97 103 123 120 134 131 127 135 137 2007 142 138 141 151 155 173 181 188 195 191 262 273 2008 283 295 311 327 334 340 361 And