similar to: How to duplicate each row in a data.frame?

Hello, I am trying to calculate the mean value of each row in a data frame (d), I am having troubles and getting errors using the code I have written. Below is a brief example of the code, any thought or suggestions would be great. Thank you for your time, Doug # Example Code: d <- data.frame(st1=c(1,2,3,4), st2=c(2,5,6,7), st3=c(5,5,NA,7), st4=c(6,5,7,8)) avg <-

Hello all, I'm trying to transform data frames by grouping the rows by the values in a particular column, ordered by another column, then picking the first row in each group. I'd like to convert a data frame like this: x y z 1 10 20 1 11 19 2 12 18 4 13 17 into one with three rows, like this, where i've discarded one row: x y z 1 1 11 19 2 2 12 18 4 4 13 17 I've got a

Hello, All, How can one sort on column and row names. For example: How can this X1 X3 X2 X1 1 0 0 X3 0 1 0 X2 0 0 1 become this? X1 X2 X3 X1 1 0 0 X2 0 1 0 X3 0 0 1 Thank you for your time! Jim [[alternative HTML version deleted]]

Hello! I have a dataset like this: X1 X2 X3 X4 X5 X6 X7 X8 1 2 2 1 2 3 2 6 2 3 2 5 7 9 1 3 1 9 12 6 1 1 3 6 The columns X1-X6 contains ordinary numeric values. X7 contains the number of the first column that the rowMeans should be calculated from and X8 contains the last column

Dear R-List, I have a dataframe area<-c(rep(1,10),rep(2,10),rep(3,10),rep(4,10),rep(5,10)) type<-c(rep(1:10,5)) a<-rnorm(50) b<-rnorm(50) c<-rnorm(50) d<-rnorm(50) df<-cbind(area,type,a,b,c,d) df area type a b c d [1,] 1 1 0.45608192 0.240378547 2.05208079 -1.18827462 [2,] 1 2 -0.12119506 -0.028078577

Some examples in the help page are too long to be copied from screen. Could somebody let me know some easy way on how to extract the example to a file so that I can play with them?

Dear R Community, I am attempting to transpose a dataset from rows to columns but am stuck. I have tried using reshape() with little luck, possibly due to the categorical nature of the data. For example: id<-c(1,2,2,3,3,3) author<-c("j","k","k","l","l","l")

Hi, I can use the following code to generate a matrix, each column of which is 'x'. But I have to specify '5' twice in the second command. I am wondering if there is a better way to do it. > x=1:10 > matrix(rep(x,5),nc=5) > t(matrix(rep(x,5),nc=5)) Regards, Peng

Dear R´ers.. In this mock dataset how can I generate a logical variable based on whether just tes or tes3 are NA in each row?? test<-sample(c("A",NA,"B"),100,replace=T) test2<-sample(c("A",NA,"B"),100,replace=T) test3<-sample(c("A",NA,"B"),100,replace=T) tes<-cbind(test,test2,test3)

I have browsed the archive, and played around with a whole bunch of ways of approaching the problem, and I cannot get the answer that I want. I have a list with 2000 elements. Each element is a data frame with 2 columns. As an example, see element 1999 below. [[1999]] H N 6 0.54 26 10 0.31 13 11 0.12 34 13 0.00 38 4 0.59 37 16 0.44 9 19 0.08 13 14 0.64 39 8

read.table terminates the program if the input file is empty. Is there way to let the program continue and return me a NULL instead of terminating the program? $ Rscript read_empty.R > read.table("empty_data.txt") Error in read.table("empty_data.txt") : no lines available in input Execution halted $ cat read_empty.R read.table("empty_data.txt") $ cat

Dear all, I am using grep but I did not understand the problem as I am doing something wrong.Please help me. I am using this code- sf=data.frame(sapply(df[],function(x) grep('\\.&\\,', df[,9]))) the thing is i have a data frame(df) like this- 10 135349467 g G 4 0 0 5 ,,,., 10 135349468 t T 2 0 0 5 ,,c., 10 135349469 g G 7 0 0 5 ,,a., 10 135349470 c C 8 0 0 5 ,,,., 10 135349471

How might one calculate standard deviation, row-wise, for the numeric values in a data frame such as this one V1 V2 V3 V4 V5 1 rs11089130 0.4565 0.4574 0.4569 0.4572 2 rs738829 0.6548 0.6519 0.6448 0.6549 3 rs915674 0.7503 0.7500 0.7517 0.7502 and place the standard deviation in a 6th column called “std_dev”? Regards, Jim [[alternative HTML version deleted]]

I don't find a function to print a string to file. Would somebody let me know what function I should use?

Hi, I am wondering if some experienced users would help put the ready-to-run code of the examples in the manuals. It would help new users learn R faster by putting all the examples in an ready-to-run R script file. Can somebody help do so sometime and post the code along with the pdf manuals? http://cran.r-project.org/manuals.html Regards, Peng

Hi - I apologize for the 2nd post, but I think my question from a few weeks ago may have been overlooked on a Friday afternoon. I might be missing something very obvious, but is it widely known that the aggregate function handles missing values differently depending if a data frame or a formula is the first argument ? For example, (d<- data.frame(sex=rep(0:1,each=3),

Hi, x=matrix(1:60,nr=6) I can refer the last 2 rows by x[5:6,] If I don't know the total number of rows is 6, is there a way to refer the last 2 rows? Regards, Peng

Hi All, I'm trying to delete a row from my dataframe "pop" without changing the indexing (column 0) as follows: >pop id birth size xloc yloc weight energy gonad consumed 1 1 36 13 34 43 0 18 0 0 2 2 36 10 39 38 0 18 0 0 3 3 36 10 37 35 0 18 0 0 4 4 36 10 31 25 0

Hi, > x=c(rep(1,3),rep(3,2)) > x [1] 1 1 1 3 3 > duplicated(x) [1] FALSE TRUE TRUE FALSE TRUE > As shown in the above code, 'duplicated' doesn't return 'F' for the first '1' and first '3' in 'x'. I am wondering if there is a function that can return an indicator for any element whether it appears in a vector twice or more. Regards, Peng

I found this paper on ANOVA on unequal error variance. Has this be incorporated to any R package? Is there any textbook that discuss the problem of ANOVA on unequal error variance in general? http://www.jstor.org/stable/2532947?cookieSet=1