w.cmis.csiro.au/bill.venables/
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of Anh Tran
Sent: Saturday, 2 August 2008 4:04 PM
To: rlist
Subject: [R] convert for loop into apply()
Hi all,I know this topic has came up multiple times, but I've never
full
Also, your request can easily be formulated as an SQL statement,
for example utilizing the 'sqldf' package:
library(sqldf)
a1 <- data.frame(id = 1:6,
cat = paste('cat', rep(1:3, c(2,3,1))),
st = c(1, 7, 30, 40, 59, 91),
en = c(5, 25, 39, 55
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http://www.cmis.csiro.au/bill.venables/
-----Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of Anh Tran
Sent: Saturday, 2 August 2008 4:04 PM
To: rlist
Subject: [R] convert for
One way to make it faster is to remove the accessing of the dataframe
in the loop. By converting the values you need to compare to
matrices, the compares will be faster. Try the following to see if
there is a speedup:
a1<-data.frame(id=c(1:6), cat=c('cat 1','cat 1','cat 2','cat 2','cat
2','cat 3
Hi all,I know this topic has came up multiple times, but I've never fully
understand the apply() function.
Anyway, I'm here asking for your help again to convert this loop to apply().
I have 2 data frames with the following information: a1 is the fragment that
is need to be covered, a2 is the pro
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