search for: aves

If someone can explain this odd behavior I'd appreciate it. I have a data.frame Cell.ave (attached and created via dput(Cell.ave, "Cell.ave") which contains three columns of parameters year, month and AveRain. I need to subset the data.frame by months such that DrySeaonMonths are 1,2,3,4, 11, and 12 or Jan - April, November and December and WetSeasonMonths are 5:10 or

Full_Name: Brendan Barnwell Version: 2.9.0 OS: Windows XP Pro Submission from: (NULL) (71.102.131.29) The ave() function returns an incorrect datatype. Specifically, ave(x, g, f) always returns a vector with the same mode as x, rather than using the mode of the vector returned by f. Observe: > x [1] "A" "B" "C" "A" "B" "C"

Hello, this is a request for assistance that I submitted earlier, this time with the dataset. My mistake for taking up bandwidth. I've also rephrased the question to address an additional concern. I'm working on a windows XP machine with R 2.8.1 1). I'd like a barchart (or other lattice type display) HSI ~ of the three factors (Region, Scenario and HydroState). However

Hi, I am having trouble using the ave function with a POSIXct object. For example: x<-Sys.time()+0:9*3600 dat<-data.frame(id=rep(c('a',' b','c'),each=10),dt=rep(x,3),i=rep(1:10,3)) dat # This is what I want to do: dat$time.elapsed<-unsplit(lapply(split(dat$dt,dat$id),function(x) x-x[1]),f=dat$id) dat # The above code does the trick, but from the standpoint of

library(plyr) n<-100000 grp1<-sample(1:750, n, replace=T) grp2<-sample(1:750, n, replace=T) d<-data.frame(x=rnorm(n), y=rnorm(n), grp1=grp1, grp2=grp2) system.time({ d$avx1 <- ave(d$x, list(d$grp1, d$grp2)) d$avy1 <- ave(d$y, list(d$grp1, d$grp2)) }) # user system elapsed # 39.300 0.279 40.809 system.time({ d$avx2 <- ave(d$x, interaction(d$grp1, d$grp2, drop =

Estimad en s, quería realizar una consulta Dado un data frame llamado aves, como puedo sustiuir las variables area, dist y distm por sus logaritmos en base10 y volver a crear un data frame? Muchas gracias Saludos Susana [[alternative HTML version deleted]]

Hi, This is probably really obvious, by I can't seem to find anything on it. Is there a fast version of ave for when the data is already sorted in terms of the factor, or if the breaks are already known? Basically, I have: X = 0.1, 0.2, 0.32, 0.32, 0.4, 0.56, 0.56, 0.7... Y = 223, 434, 343, 544, 231.... etc of the same, admittedly large length. Now note that some of the values of X are

Dear all, I have just sent an enquiry but probably I hadn’t expressed myself properly. Could anyone help me with the following? When I run the code on my data I get a boxplot with outliers identified by numbers 200 & 201. However, what I would like is to label these outliers with their corresponding “DATA$num” values of the data frame. In this example, the outliers should be labelled as:

Consider the following simple data set and a call to ave: > tdata <- data.frame(f1=c(1,1,1,1,2,2,2,2), f2=c(1,2,1,2,1,1,1,1), y=1:8) > with(tdata, table(f1, f2)) f2 f1 1 2 1 2 2 2 4 0 > with(tdata, ave(y, f1, f2, FUN=max)) [1] 3 4 3 4 8 8 8 8 Warning message: In FUN(X[[i]], ...) : no non-missing arguments to max; returning -Inf There are no missing values in the

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 0.1552277 > 4 B 3 0.8447723 > 5 B 2 0.8447723 > 6 C 6 0.2500000

Dear list, # I have a DF like this: sleep$b <- c(rep(8,10), rep(9,10)) sleep$me <- with(sleep, ave(extra, group, FUN = mean)) sleep # I would like to create a new variable # holding the b-th value of group 1 and 2. # This is not what I want, it takes always the '8' from group '1' # and not the '9' sleep$gr <- with(sleep, ave(extra, group, FUN = function(x)

Dear R experts--- Has anyone written parallel versions of "by" (i.e., mcby) and "ave" (i.e. mcave) ? I did ask a question like this a year ago, and then the answer was no. for those who are googling the group for the answer to this question, in the meantime, the poor man's version of "by" is mclapply( split( ds, factor ), FUN ) I don't know the poor

Hello! I have a data frame with a factor and a numeric variable: x<-data.frame(factor=c("b","b","d","d","e","e"),values=c(1,2,10,20,100,200)) For each level of "factor" - I would like to divide each value of "values" by the mean of "values" that corresponds to the level of "factor" In other

Buenos días, Me gustaría aplicar una regresión múltiple a los datos con los que trabajo pero no se como introducir los datos en R. He probado introducir el siguiente comando: modeloM<-lm(AVE.~ d1 + as.factor(d1T)*Tariff) summary(modeloM) Pero me da el siguiente error: > summary(modeloM) Error in if (attr(z$terms, "intercept")) sum((f - mean(f))^2) else sum(f^2) : argument is

Dear list, I am currently working with a rather large data set on body temperature regulation in wintering birds. My original model contains quite a few dependent variables, but I do not (of course) wish to keep them all in my final model. I've fitted the following model to the data: >

Hello everyone, My progress has stalled on finding a way of creating a somewhat complicated variable to add to my existing dataframe and I am hoping one of you could help me out. The dataframe below contains only a fraction of the data of my complete dataframe, but all of the variables. What I want to do is add another variable named 'WEEK' to this dataframe that is assigned 1 for row 1

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

I've been using the ave function to compute some statistics on a data frame. After a while I noticed that, for some reason, it was returning numerical statistics as strings instead of numbers. I delved into the code of the functions and traced the problem to the following fact: ave uses split<- to do its work. Specifically, it does "split(x, g) <- lapply(split(x, g),

Buenos días, *Muchas gracias, todas las aportaciones han sido bien útiles.* Las he tenido en cuenta y he pasado los datos con el R, siguiendo el siguiente comando: *modeloRTUN2<-lm(AVE.~ Tariff + d1 + d2 + d3 + d4 + d5 + d6 + d7 + d8 + d9+ d10 + d11+ d12+ d13+ d14+ d15+ d16+ d17+ d18+ d19+ d20 +d21 + Tariff*d1 + Tariff*d2 + Tariff*d10)* *summary(modeloRTUN2)* Siendo: AVE. = Variable

Hello everybody, I am beginning with loops and functions and would be glad to have help in the following question: If i have a dataframe like this Site Prof H 1 1 24 1 1 16 1 1 67 1 2 23 1 2 56 1 2 45 2 1 67 2 1 46 And I would like to create a new column that subtracts the minimum of H from H, but for S1 and P1 only