similar to: how to read in multiple files with unequal number of columns

Dear All, I do apologise if this question is out of place for this list but I've tried searching mailing lists and read "Introductory Statistics with R" by Peter Dalgaard, but couldn't find any hints on solving my question below: I have a data frame (d) of values which I will rank in decreasing order of "val". Each value belongs to a group, either 'A',

Dear all, I have a collection of 5000 entries which represent the evolutionary rates of 3 animals. I would like to show the differences between the rates of all 3 animals and have tried using the function parallel (from the lattice package) and pairs() function. The parallel function would have been perfect save for the large number of data (5000). The pairs() function doesn't show

Dear all, I am a newbie in R and need some help please. (I do apologise if my email is not as informative as it should be, I've tried to include the relevant details without overcrowding it with the rest of the code) I would like to sample (without replacement) Y objects based on the number of objects in X in 5 different bins. I'm having trouble because the list object in which

Dear all, I used "which" to obtain a subset of values from my data.frame. however, I find that there is a "trace" of the values I have removed. Any suggestions would be greatly appreciate. Below is my data: d <- data.frame( val = 1:10, group = sample(LETTERS[1:5], 10, repl=TRUE) ) >d val group 1 1 B 2 2 E 3 3 B 4 4

Hello and thanks for helping. #some data L3 <- LETTERS[1:3] dat1 <- data.frame(cbind(x=1, y=rep(1:3,2), fac=sample(L3, 6, replace=TRUE))) #When x==1 and y==1 I want to replace the 1 values with NA #I can select the rows I want: dat2<-subset(dat1,x==1 & y==1) #replace the 1 with NA dat2$x<-rep(NA,nrow(dat2) dat2$y<-rep(NA,nrow(dat2) #select the other rows and rbind

Hi, How to rbind these vectors from a list?: > l <- list(a = c(1, 2), b = c(1, 2, 3)) > l $a [1] 1 2 $b [1] 1 2 3 > do.call(rbind, l) [,1] [,2] [,3] a 1 2 1 b 1 2 3 Warning message: In function (..., deparse.level = 1) : number of columns of result is not a multiple of vector length (arg 1) > -J

Hi, I need to resample rows in a data frame by subsets L3 <- LETTERS[1:3] d <- data.frame(cbind(x=1, y=1:10), fac=sample(L3, 10, repl=TRUE)) x y fac 1 1 1 A 2 1 2 A 3 1 3 A 4 1 4 A 5 1 5 C 6 1 6 C 7 1 7 B 8 1 8 A 9 1 9 C 10 1 10 A I have seen this used to sample rows with replacement d[sample(nrow(d), replace=T), ] x y fac 7 1 7 B 2

Hello. I am trying to write an S4 method for rbind(). I have a class of objects called 'mdm', and I want to be able to rbind() them to one another. I do not want the method for rbind() to coerce anything to an mdm object. I want rbind(x1,x2,x1,x2) to work as expected [ie rbind() should take any number of arguments]. This is what I have so far: setGeneric(".rbind_pair",

Hi, Excuse me for this simple question. How to convert as.data.frame to as.character? ?data.frame > L3 <- LETTERS[1:3] > L10 <- LETTERS[1:10] > d <- data.frame(cbind(x=c("XYZ"), y=L10), fac=sample(L3, 10, repl=TRUE)) > d x y fac 1 XYZ A A 2 XYZ B A 3 XYZ C A 4 XYZ D A 5 XYZ E B 6 XYZ F C 7 XYZ G A 8 XYZ H C 9 XYZ I B 10 XYZ

Suppose I have a dataframe 'd' defined as L3 <- LETTERS[1:3] d0 <- data.frame(cbind(x = 1, y = 1:10), fac = sample(L3, 10, replace = TRUE)) (d <- d0[d0$fac %in% c('A', 'B'),]) x y fac 2 1 2 B 3 1 3 A 4 1 4 A 5 1 5 A 6 1 6 B 8 1 8 A Even though factor 'fac' in 'd' only has 2 levels, but it seems to bear the birthmark

Dear Sir or Madam, I have the following data frame (which is just a toy example of my larger dataset) L3 <- LETTERS[1:3] x=c(1,1,2,2,3,3,4,4,5,5) y=1:10 d <- data.frame(cbind(x,y), fac=sample(L3, 10, replace=TRUE)) This data frame produces the following output x y fac 1 1 1 C 2 1 2 C 3 2 3 B 4 2 4 B 5 3 5 C 6 3 6 B 7 4 7 B 8 4 8 C 9 5 9 B 10 5

I have a question, which very easy to solve, but I can't find a solution. I want to convert a data frame to matrix. Here my toy example: > L3 <- c(1:3) > L10 <- c(1:6) > d <- data.frame(cbind(x=c(10,20), y=L10), fac=sample(L3, + 6, repl=TRUE)) > d x y fac 1 10 1 1 2 20 2 1 3 10 3 1 4 20 4 3 5 10 5 2 6 20 6 2 > is.data.frame(d) [1] TRUE > sapply(d,

Hi, I am new to R and I need to perform multiple chi-square tests. I manage to perform one at a time, but is there a specific command to do multiple tests? For example, I have a table that looks like this: Marker Treatment Genotype1 Genotype2 Genotype3 1 A 23 57 32 1 B 43 59 12 ... ... n A ## ## ## n

I'm trying to merge two data frames. One of them is a zero rows data frame. I'm using the merge parameter 'all.x = TRUE' so I'd expect to obtain all the rows of x. In fact the merge help says: all.x: logical; if 'TRUE', then extra rows will be added to the output, one for each row in 'x' that has no matching row in 'y'. These rows

Hi, I have several matrix in a list, for example: e [[1]] [,1] [,2] [1,] 1 3 [2,] 2 4 [[2]] [,1] [,2] [1,] 1 4 [2,] 2 5 [3,] 3 6 [[3]] [,1] [,2] [1,] 2 1 I would like to join them by column i.e. [,1] [,2] [,3] [,4][,5] [,6] [1,] 1 3 1 4 2 1 [2,] 2 4 2 5 NA NA [3,] NA NA 3 6 NA NA I have tried

Windows 2000 reports that "Rgui.exe has generated errors and will be = closed by Windows. You will need to restart the program." when using = rbind.=20 df1 <- data.frame(cbind(x=3D1, y=3D1:1000), fac=3Dsample(LETTERS[1:3], = 1000, repl=3DTRUE)) df2 <- data.frame(cbind(x=3D1, y=3D1:10), fac=3Dsample(LETTERS[4:6], = 10, repl=3DTRUE)) df3 <- data.frame(cbind(x=3D1,

There seems to be a bug arising when using multiple S4 generics with "..." as the signature. The following code works as expected: ############################################################## > setGeneric("rbind", function(..., deparse.level=1) standardGeneric("rbind"), + signature = "...") Creating a generic for "rbind" in

I hope this question is adequate for this list I use the nnet code from V&R p. 348: The very nice and general function CVnn2() to choose the number of hidden units and the amount of weight decay by an inner cross-validation- with a slight modification to use it for classification (see below). My data has 2 classes with unequal size: 45 observations for classI and 116 obs. for classII With

Hallo Everyone I have the kind of problem that one should never have because one must always plan well and communicate with your team. But now I haven't so here is my problem. I have data coming in on a daily basis from surveys in 10 towns. The questionnaire has 62 variables but some of the regions have used older versions of the questionnaire that have a few variables less. I want to combine

Hello, If I have a dataframe: example(data.frame) zz<-c("aa_bb","bb_cc","cc_dd","dd_ee","ee_ff","ff_gg","gg_hh","ii_jj","jj_kk","kk_ll") ddd <- cbind(dd, group = zz) and I want to divide the column named group by the "_", how would I do this? so instead of the first row being x