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rbind does not check for column names when binding together vectors:
l = list(row1 = c(10, 20), row2 = c(20, 10)) names(l$row1) = c("A", "B") names(l$row2) = c("B", "A") l $row1 A B 10 20 $row2 B A 20 10 rbind(l$row1, l$row2) A B [1,] 10 20 [2,] 20 10 How can I produce this matrix from a number of list elements, insuring the column names are correctly matched across rows:
A B [1,] 10 20 [2,] 10 20 
929
0), rbind has the capacity to to join two data sets with the same name columns even if they are in different order.
Method 1 : Using plyr package rbind. fill() method in R is an enhancement of the rbind() method in base R, is used to combine data frames with different columns. The column names are number may be different in the input data frames. Missing columns of the corresponding data frames are filled with NA.
rbind() function in R Language is used to combine specified Vector, Matrix or Data Frame by rows. deparse. level: This value determines how the column names generated.
cbind() and rbind() both create matrices by combining several vectors of the same length. cbind() combines vectors as columns, while rbind() combines them as rows.
It seems that in current versions of R (I have version 3.3.0), rbind has the capacity to to join two data sets with the same name columns even if they are in different order.
df1 <- data.frame(a = c(1:5), c = c(LETTERS[1:5]),b=c(11:15)) df2 <- data.frame(a = c(6:10), b = c(16:20),c=c(LETTERS[6:10])) rbind(df1,df2) a c b 1 1 A 11 2 2 B 12 3 3 C 13 4 4 D 14 5 5 E 15 6 6 F 16 7 7 G 17 8 8 H 18 9 9 I 19 10 10 J 20 If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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