rowname

I have a CSV file which somewhat looks like this: I need to cluster "NoOffaces" and count how many datasets has 1 face, 2 face and so on. Here is what I did in R : data<-read.csv('test.csv') a<-table(data$NoOffaces) a #for printing a And here is the output: 0 1 2 3 4 5 6 7 8 9 10 14 15 19 448 375 104 33 16 7 4 2 2 3 1 3 1 1 But, I want to give name to the first two rows so that it looks somewhat like this Faces :0 1 2 3 4 5 6 7 8 9 10 14 15 19 Count :448 375 104 33 16 7 4 2 2 3 1 3 1 1 I am not able to name the rows, also how to access the each value in the column? I am a beginner in R , some

Given a data.frame A, how can I use subscripted rows and columns names? Eventually I want produce a table through kable() in rmarkdown (output: word document). A <- data.frame(round(replicate(3, runif(2)),2)) rownames(A) <- c("Hola123", "Hola234") A X1 X2 X3 Hola123 0.47 0.55 0.66 Hola234 0.89 0.45 0.20 How could I make all numbers from row and column names subscripted when creating a table through kable(A)? I have tried: rownames(A) <- c(expression(Hola["123"]), expression(Hola["234"])) names(A) <- c(expression(X["1"]), expression(X["2"]), expression(X["3"])) But it does not appears

How can one determine the row index-numbers corresponding to particular row names? I have a vector of row names, and I would like to use these to obtain a vector of the corresponding row indices in a matrix. I tried row() and as.integer(rownames(matrix.object)) , but neither seems to work. In addition to which , you can look at match : m <- matrix(1:25, ncol = 5, dimnames = list(letters[1:5], LETTERS[1:5])) vec <- c("e", "a", "c") match(vec, rownames(m)) # [1] 5 1 3 Try which : which(rownames(matrix.object) %in% c("foo", "bar")) 来源： https://stackoverflow.com/questions/20663720/how-to-get-row

Closed. This question is off-topic. It is not currently accepting answers. Learn more . Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 6 years ago . I have a data frame with several rows. I want to select some rows with specific rownames (such as stu2,stu3,stu5,stu9 ) from this dataframe. The input example dataframe is as follows: attr1 attr2 attr3 attr4 stu1 0 0 1 0 stu2 -1 1 -1 1 stu3 1 -1 0 -1 stu4 1 -1 1 -1 stu5 -1 1 0 1 stu6 1 -1 1 0 stu7 -1 -1 -1 1 stu8 1 -1 0 -1 stu9 -1 -1 1 -1 stu10 -1 1 0 1 Expected output: attr1 attr2 attr3 attr4 stu2