rbind

I use R to generate a toy set data.frame(name = c("Tom", "Shane", "Daniel", "Akira", "Jack", "Zoe"), c1 = c(1,2,3,0,5,0), c2 = c(0, 3, 5, 0,4,0), c3 = c(0, 0,1,0,0,3), c4=c(0,0,0,1,0,0)) which is displayed below: I only care about the columns c1, c2, c3, c4 , and if a specific row has more than one value, which is greater than 0. we need to duplicate rows to make sure that there are only one value, which is greater than 0, and then remove the original row. For instance, the second row has two values are greater than 0 (c1: 2, c2: 3), then we have to duplicate that row to two, which looks like

After cbind or rbind -ing a table object (for example, adding a margin of sums or somesuch), names of dimnames get lost (see y ). I found this "workaround" but was wondering if there's an out of the bag solution to this that looks less hacky. Perhaps something that can be done on the fly? I would like to keep the object of class table . > (x <- table(1:3, sample(1:3), dnn = c("rows", "cols"))) cols rows 1 2 3 1 1 0 0 2 0 0 1 3 0 1 0 > (y <- cbind(x, "4" = 4:6)) # "rows" and "cols" get lost 1 2 3 4 1 1 0 0 4 2 0 0 1 5 3 0 1 0 6 > names(dimnames(y)) <- names(dimnames(x)) > y cols rows 1 2 3 4 1

There are other issues here addressing the same question, but I don't realize how to solve my problem based on it. So, I have 5 data frames that I want to merge rows in one unique data frame using rbind, but it returns the error: "Error in row.names<-.data.frame ( *tmp* , value = value) : 'row.names' duplicated not allowed In addition: Warning message: non-unique values when setting 'row.names': ‘1’, ‘10’, ‘100’, ‘1000’, ‘10000’, ‘100000’, ‘1000000’, ‘1000001 [....]" The data frames have the same columns but different number of rows. I thought the rbind command took the first column as row

Say I have two vectors v1 and v2 and that I want to call rbind(v1, v2) . However, supposed length(v1) > length(v2) . From the documentation I have read that the shorter vector will be recycled. Here is an example of this "recycling": > v1 <- c(1, 2, 3, 4, 8, 5, 3, 11) > v2 <- c(9, 5, 2) > rbind(v1, v2) [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] v1 1 2 3 4 8 5 3 11 v2 9 5 2 9 5 2 9 5 Is there any straightforward way I can stop v2 from being recycled and instead make the remaining entries 0? Is there a better way to build vectors and matrices? All help is greatly appreciated! Ricardo Saporta use

I have this df1: A B C 1 2 3 5 7 9 where A B C are columns names. I have another df2 with one column: A 1 2 3 4 I would like to append df2 for each column of df1, creating this final dataframe: A B C 1 2 3 5 7 9 1 1 1 2 2 2 3 3 3 4 4 4 is it possible to do it? data.frame(sapply(df1, c, unlist(df2)), row.names = NULL) # A B C #1 1 2 3 #2 5 7 9 #3 1 1 1 #4 2 2 2 #5 3 3 3 #6 4 4 4 DATA df1 = structure(list(A = c(1L, 5L), B = c(2L, 7L), C = c(3L, 9L)), .Names = c("A", "B", "C"), class = "data.frame", row.names = c(NA, -2L)) df2 = structure(list(A = 1:4), .Names = "A", class = "data.frame", row