The cbind serve as in R, trim for column-bind, will also be impaired to mix vectors, matrices and information frames by way of column.
Refer to examples display the way to worth this serve as in follow.
Instance 1: Cbind Vectors right into a Matrix
Refer to code presentations the way to worth cbind to column-bind two vectors right into a unmarried matrix:
#develop two vectors a <- c(1, 3, 3, 4, 5) b <- c(7, 7, 8, 3, 2) #cbind the 2 vectors right into a matrix new_matrix <- cbind(a, b) #view matrix new_matrix a b [1,] 1 7 [2,] 3 7 [3,] 3 8 [4,] 4 3 [5,] 5 2 #view elegance of new_matrix elegance(new_matrix) [1] "matrix" "array"
Instance 2: Cbind Vector to a Knowledge Body
Refer to code presentations the way to worth cbind to column-bind a vector to an present knowledge body:
#develop knowledge body df <- knowledge.body(a=c(1, 3, 3, 4, 5), b=c(7, 7, 8, 3, 2), c=c(3, 3, 6, 6, 8)) #outline vector d <- c(11, 14, 16, 17, 22) #cbind vector to knowledge body df_new <- cbind(df, d) #view knowledge body df_new a b c d 1 1 7 3 11 2 3 7 3 14 3 3 8 6 16 4 4 3 6 17 5 5 2 8 22
Be aware that R will throw an error if the field of the vector isn’t the similar because the field of the columns within the present knowledge body.
Instance 3: Cbind A couple of Vectors to a Knowledge Body
Refer to code presentations the way to worth cbind to column-bind a couple of vectors to an present knowledge body:
#develop knowledge body df <- knowledge.body(a=c(1, 3, 3, 4, 5), b=c(7, 7, 8, 3, 2), c=c(3, 3, 6, 6, 8)) #outline vectors d <- c(11, 14, 16, 17, 22) e <- c(34, 35, 36, 36, 40) #cbind vectors to knowledge body df_new <- cbind(df, d, e) #view knowledge body df_new a b c d e 1 1 7 3 11 34 2 3 7 3 14 35 3 3 8 6 16 36 4 4 3 6 17 36 5 5 2 8 22 40
Instance 4: Cbind Two Knowledge Frames
Refer to code presentations the way to worth cbind to column-bind two knowledge frames into one knowledge body:
#develop two knowledge frames df1 <- knowledge.body(a=c(1, 3, 3, 4, 5), b=c(7, 7, 8, 3, 2), c=c(3, 3, 6, 6, 8)) df2 <- knowledge.body(d=c(11, 14, 16, 17, 22), e=c(34, 35, 36, 36, 40)) #cbind two knowledge frames into one knowledge body df_new <- cbind(df1, df2) #view knowledge body df_new a b c d e 1 1 7 3 11 34 2 3 7 3 14 35 3 3 8 6 16 36 4 4 3 6 17 36 5 5 2 8 22 40
Bonus: If you wish to store in combination vectors, matrices, or knowledge frames by way of rows, you’ll impaired the rbind serve as in lieu.
