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Dear R-users, I am trying to reshape the DF "dat2" in the "long" format, but can't figure out how to use the "split"-option: > dat2 a.1995.z b.1995.z a.1996.z var 1 100.00000 100.00000 100.00000 Neue Anlagen insgesamt 2 40.09904 23.60890 40.88960 Neue Ausr??stungen 3 59.90096 76.39110 59.11040 Neue Bauten This

Hi Patrick Hausmann <c18g at uni-bremen.de> napsal dne 15.11.2007 18:59:06: > Hello Petr, > > one question solved, the next is standing in front of me... If you > have a minute to look .... great! > > > x > V1 V2 F1 > 1 A 2 0.1552277 > 2 A 3 0.1552277 > 3 A 4 0.155227...

Hi all, Does anybody know the easiest way to import excel data into R? I copied and pasted the excel data into a txt file, and tried read.table, but R reported that Error in read.table("data_support.txt", sep = " ", header = T) : more columns than column names Thanks! Ling

...rwell Science and Innovation Campus, Didcot, Oxfordshire, OX11 0DE, United Kingdom </FONT></DIV> ------------------------------ Message: 6 Date: Wed, 21 Nov 2007 12:59:42 +0100 From: Petr PIKAL <petr.pikal at precheza.cz> Subject: [R] Odp: ave and sd To: Patrick Hausmann <c18g at uni-bremen.de> Cc: r-help at r-project.org Message-ID: <OF912463EB.5AFB29F4-ONC125739A.0040F30A-C125739A.0041E265 at precheza.cz> Content-Type: text/plain; charset="US-ASCII" Hi r-help-bounces at r-project.org napsal dne 21.11.2007 10:45:55: > Dear list, > &...

Dear list, I'm still trying to calculate the sd for V2 for each group in V1 if V3 is '0': > x V1 V2 V3 1 A01 2.40 0 2 A01 3.40 1 3 A01 2.80 0 4 A02 3.20 0 5 A02 4.20 0 6 A03 2.98 1 7 A03 2.31 0 8 A04 4.20 0 # Work x$vmean <- ave(x$V2, x$V1, x$V3 == 0, FUN = mean) # Work x$vsd2 <- ave(x$V2, x$V1, FUN = sd) # Doesn't work x$vsd <- ave(x$V2, x$V1, x$V3

Dear R users, It may be very simple but it is being difficult for me. I'd like to calculate the difference in percent between to measures. My data looks like this: set.seed(123) df1 <- data.frame(measure = rep(c("A1", "A2", "A3"), each=3), water = sample(c(100:200), 9), tide = sample(c(-10:+10), 9)) df1 # What I want to calculate is:

Dear list, I'm trying to add a new dim to a multidimensional array. My array looks like this a1 <- array(1:8, c(2, 2, 2)) dimnames(a1) <- list(A = c("A1", "A2"), B = c("B1", "B2"), D = c("D1", "D2")) I would like to add a new dim 'group' with the value "low".