similar to: reshape matrices

Hi everybody, I have some problems with the function eigen. I have a square matrix and I want to calculate the eigenvalues and eigenvectors. I apply the function eigen and I get it, however when I solve the same problem in Statistica software, I realise that some eigenvectors are the opposite. How can I get the same values? Thanks in advance [[alternative HTML version deleted]]

Dear R community, I'm working with PCA and CCA methods, and I have a theoretical question. Why is it necesary to have more temporal values than variables when the CCA O PCA are going to be used? Could you advise to me some any paper about it? Thanks in advance, [[alternative HTML version deleted]]

Dear R community, I am working with huge arrays, so I spend a lot of time computing. This is my code: for (x in 1:dim(variable)[1]){ for (y in 1:dim(variable)[2]){ for (z in 1:dim(variable)[3]){ result <- max(variable[x,y,z,]) } } } Is there a more efficient procedure to do this task? Thanks in advance! [[alternative HTML version deleted]]

Hi, I'm trying to move to R the last few data handling routines I was performing in SAS. I'm working on stomach content data. In the simplified example I provide below, there are variables describing the origin of each prey item (nbpc is a ship number, each ship may have been used on different trips, each trip has stations, and individual fish (tagno) can be caught at each

Dear R community, I'm a beginner with Cluster Analysis. I would like to know if there is a criterion to select the best set of clusters to do this analysis. Thanks in advance, [[alternative HTML version deleted]]

Dear R users, I would like to know if it is possible to calculate the Mean Error (ME), the Root Mean-squared error (RMSE) and absolute error (MAE) for two temporal series of directional data. Where Can I get documentation about it? Thanks in advance [[alternative HTML version deleted]]

Hello, I'm a beginner in R. I'm learning to use this fantastic program, but I have some problems in how to use it. First of all, I have a txt file witch I am able to load to the program. I'm very interested in PCA, and I have a lot of packages, but I haven't got the results that I want. I would like to get the EOFS and to export it in a txt file. I would be pleased if you could

I am trying to reshape a data set. Could someone please help me with the reshape, cast, and melt functions? I am new to R and I have tried reading up on how to use the reshape package, but I am very confused. Here is an example of what I am trying to do: subject coder score time [1,] 1 1 20 5 [2,] 1 2 30 4 [3,] 2 3 10 10 [4,] 2 2

Dear R Helpers, I have trouble applying reShape and reshape although I read the documentation and several posts, so I would very much appreciate your help on the two points below. I have a dataframe df = data.frame(Name=c("a", "a", "a", "b", "b", "c"), X1=c("12", "13", "14", "20", "25",

I wonder if the 'sep' argument in reshape() is being ignored unintentionally: ## From example(reshape) df <- data.frame(id=rep(1:4,rep(2,4)), visit=I(rep(c("Before","After"),4)), x=rnorm(4), y=runif(4)) reshape(df, timevar="visit", idvar="id", direction="wide", sep = "_") id x.Before

I'm in the middle of my own little intellectual exercise comparing dcast() and reshape() and have successfully stumped myself. I want to melt() a data frame, then dcast() it into a new form. After doing so, I want to duplicate the process using reshape(). So far, I can do the melt and cast require(reshape2) Raw <- data.frame(site = c(1, 1, 1, 1, 2, 2, 2, 2), id =

Hi all, for some reason I always get stuck spending hours when trying to use reshape or the Reshape package. Heaven knows why. My latest frustration (in 2.7.1, so ignore if this has been fixed): test<-data.frame(matrix(rnorm(42*4),ncol=4),rep(1:21,2),rep(c("a","b"),each=21)) reshape(test,varying=list(colnames(test)[1:4]),direction="long")

I have two waves of a survey given to students at various middle schools and high schools, with student id numbers for each student. I am having difficulty reshaping the file from long to wide. My code is below: library(foreign) svy <- read.spss("studsur4.SAV") svy.wide <- reshape(svy, timevar="WAVE", idvar="id", direction="wide")

Hi all: I solved the previous stated problem in something of a brute force way (but it works). I seem to now be running into one little hiccup using reshape. Here is a quick snip of the data in long format: grade stability year schid 6 Grade 4 3 2001 100005 7 Grade 4 3 2002 100005 8 Grade 4 2 2003 100005 10 Grade 5 2 2001 100005 11 Grade 5

Hi, I've tried to capture the basics of this problem I'm having. Been working on this for a couple of days and just cannot get past it. As a test of this list software I've attached is a small text file zipped up. I hope it gets through but if it doesn't I'll post the actual text which is only 26 lines. Put it somewhere sensible and change the first line in the code to point

Hi, I used to use reshape and moved to reshape2 (R 2.15.1). Now I tried some of my older scripts and was surprised that my cast function wasn't working like before. What I did/want to do: 1) Melt a dataframe based on a vector specifying column names as measure.vars. Thats working so far: dfm <- melt(df, measure.vars=n, variable_name = "species", na.rm = FALSE) 2) Recast the

Hi, I have a data fram like this: date column1 column2 column3 value1 value2 value3 1-1 A B C 10 5 2 2-1 A B D 5 2 0 3-1 A B E 17 10 7 How can I reshape it to: date column1 column2 column3 v x 1-1 A B C value1 10 1-1 A B C value2 5 1-1 A B C value3 2 2-1 A B D value1 5 2-1 A B D value2 2 2-1 A B D value3 0 3-1 A B E value1 17 3-1 A B E value2 10 3-1 A B E value3 7 Thx! Regards, Richard

Dear all, I'm new here, I'm starting to learn R (oh my God!!). So, now I'm in panic because I have this situation: TIPO Avariato A 0.05 B 0.09 A 9 B 8 A 9 B 3 and this is what I would like to do: Avariato A B Avariato 0.05 0.09 Avariato 9 8 Avariato 9 3 I don't know how to do it. I need to use reshape? how? thanks for your reply. Spigo -- View this message in context:

I know there are a lot of reshape questions on the mailing list, but I haven't been able to find an answer to this particular issue. I am trying to get a datafame structured like this: > sub <- rep(1:5) > ta1 <- rep(1,5) > ta2 <- rep(2,5) > tb1<- rep(3,5) > tb2 <- rep(4,5) > DF <- data.frame(sub,ta1,ta2,tb1,tb2) > DF sub ta1 ta2 tb1 tb2 1

Hi, I am using the NLSY79 data (longitudinal data from the Bureau of labour stats in the US). The extractor exctracts this data in a "wide" format and I need to reshape it into a long format. What I am doing right now is to do it in chuncks for each and evry variable that is varying and then I merge the data together. This is taking a long time. my question is: How do I specify that