similar to: rowsum

Hello I would appreciate your help on the followig. I want to generate random binary matrices but I need to discard those with all-1 rows. That is, for a 10x10 matrix with five 1's [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 0 0 0 0 0 0 0 0 0 1 [2,] 0 0 0 0 0 0 1 0 0 0 [3,] 0 0 0 0 0 0 1

Hi. I have a problem that I can't seem to find an optimal way of solving other than by doing things manually. I'm trying to subset a data frame by the number of observations that occurred at a given row but want to take into account the number of observations of preceding rows. Here's an example. I'm looking at intervals of data [10,20), [10, 30), ....., [10,120) which contain a

Good Evening Is there a setting that I can change in R so that I get either a warning or an error message if I reference non-existent data in a data frame? For example I get no warning or error message with the following: > set.seed(2013) > df0=data.frame(cbind(x=rnorm(1000),y=rnorm(1000))) > df0$z=df0$w > head(df0) x y 1 -0.09202453 1.51179695 2 0.78901912

Hola Consulto por un problema que no consigo resolver. Tengo un dataframe con muchas columnas todas de texto. Cada columna tiene solamente un valor válido y el resto son NAs. También cada fila tiene un único valor válido. Quiero colapsar ese data frame en uno que tenga solamente una fila y todas las columnas. Intenté con loops, while, apply y otros parecidos pero no lo logro El ejemplo del

?s 22:50 de 17/10/2024, Sparks, John escreveu: > Hi R Helpers, > > I have been looking for an example of how to execute different dplyr mutate statements on the same dataframe in a single step. I show how to do what I want to do by going from df0 to df1 to df2 to df3 by applying a mutate statement to each dataframe in sequence, but I would like to know if there is a way to execute this

Javier Muchas gracias por su respuesta Aunque no está funcionando, pues si ejecuto: EncDTE1<- t.EncDTE1[ !is.na(t.EncDTE1$Var1),] obtengo Var1, Var2, Var3,...Varn con datos "texto", NA, NA....NA Pero al ejecutar EncDTE1<- t.EncDTE1[ !is.na(t.EncDTE1$Var2),] obtengo Var1, Var2, Var3,...Varn con datos NA,"texto", NA....NA Estoy tratando de dar la vuelta con el loop

Hi R Helpers, I have been looking for an example of how to execute different dplyr mutate statements on the same dataframe in a single step. I show how to do what I want to do by going from df0 to df1 to df2 to df3 by applying a mutate statement to each dataframe in sequence, but I would like to know if there is a way to execute this in a single step; so simply go from df0 to df1 while executing

Hola a todos, -Estoy estudiando el efecto de dos genotipos (~tratamientos) en la aparición de síndrome metabólico (MetS) con datos longitudinales recogidos a tiempo 0,7,10,15,20 y 25 años. -He hecho un dataframe con las siguientes variables MetS: Síndrome Metabólico (Si=1,No=0) bmi: Indice de masa corporal (IMC) cuando se produce la conversión a MetS+ . Para los que permancen MetS-, esta variable

Hi all, I'm trying to use the package read.table within a foreach loop. I'm grabbing 500M rows of data at a time from two different files and then doing an aggregate/tapply like function in read.table after that. I had planned on doing a foreach loop 39 times at once for the 39 files I have, but obviously that won't work until I figure out why the segfault is occurring. The

(a) In R 2.12.2 rowsum can overflow if given an integer input: > rowsum(c(2e9L, 2e9L), c("a", "a")) [,1] a -294967296 > 2^32 + .Last.value [,1] a 4e+09 Should it be changed to coerce its x argument to numeric (double precision) so it always returns a numeric output? (b) When rowsum is given an x containing both NaN and NA it appears to use the last

If all rows are in the same "group", rowsum() returns a vector instead of a (1xN) matrix, contrary to documentation: R> print(z <- rowsum(matrix(1:12, 3,4), rep("x",3))) [1] 6 15 24 33 R> dim(z) NULL It worked correctly in version 1.4.0 but was broken by version 1.6.1. I'm currently using 1.7.1 under Solaris 2.8. --please do not edit the information

Hi, The result of rowsum() in R doesn't have the dimnames I'd expect, e.g.: > rowsum(matrix(1:12, 3,4), c("Y","X","Y")) [,1] [,2] [,3] [,4] 1 2 5 8 11 2 4 10 16 22 whereas S-Plus gives the more useful result: [,1] [,2] [,3] [,4] X 2 5 8 11 Y 4 10 16 22 This is because R's rowsum() code gives

The result of rowsum() in R doesn't have the dimnames I'd expect, e.g.: > rowsum(matrix(1:12, 3,4), c("Y","X","Y")) [,1] [,2] [,3] [,4] 1 2 5 8 11 2 4 10 16 22 whereas S-Plus gives the more useful result: [,1] [,2] [,3] [,4] X 2 5 8 11 Y 4 10 16 22 This is because R's rowsum() code gives the

'rowsum()' seems to add row names to the resulting matrix, corresponding to the respective 'group' values. This is very handy, but it is not documented. Should the documentation mention it so it could be relied upon as part of API? Cheers, Ott -- Ott Toomet Visiting Researcher School of Information Mary Gates Hall, Suite 310 University of Washington Seattle, WA 98195

Hi-- This is a question with a trivial and obvious answer, I'm sure, but I can't seem to find it in the help files and books that I have handy. I have a dataframe consisting of two columns, "Gene_Name," a list of gene symbols, and "Number," a numeric measure of how frequently a tag representing that gene showed up in a SAGE library. Several of the genes are

> with the entirely different rowSums, but it has been around > for a long time.) A lot longer than rowSums ... > Bill Dunlap > Spotfire, TIBCO Software --- This made me smile. The rowsums function was originally an internal part of the survival package, used for fast computation of certain sums when there is a cluster() statement. It was Statistical

Dear list, I have some trouble generating a frequency table over a number of vectors. Creating these tables over simple numbers is no problem with table() > table(c(1,1,1,3,4,5)) 1 3 4 5 3 1 1 1 , but how can i for example turn: 0 1 0 0 0 1 0 1 0 1 0 0 0 1 0 1 0 0 into 0 0 1 1 1 0 0 2 0 1 0 3 My second problem is, sorting rows and columns of a matrix by the rowSums/colSums. I did it

Hi, If df is a dataframe, its last column can't be deleted using "[<-", but other columns can be deleted this way. Example: > (df <- df0 <- data.frame(x = 1:3, y = 4:6, z = 7:9)) x y z 1 1 4 7 2 2 5 8 3 3 6 9 > df[, "z"] <- NULL Error in x[[jj]] : subscript out of bounds > df[, 3] <- NULL Error in x[[jj]] : subscript out of bounds >

Dear R buddies, This weekend I became interested in solving Google Code Jam problems using R. I guess R may work very well in this kind of contests but the input of file has been a problem for me. Take this case for example (http://code.google.com/codejam/contest/dashboard?c=agdjb2RlamFtchALEghjb250ZXN0cxjRzBQM), the files are usually of the form: A(number of lines for group 1) a11 a12 a13 a21

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