Here we explain how to write an R program to sort a given data frame by multiple column(s). Here we are using a built-in function order() for this sorting. The order() function helps to returns a permutation. It rearranges its first argument into ascending or descending order, breaking ties by further arguments. The syntax of order() is like
order(…, na.last = TRUE, decreasing = FALSE,
method = c("auto", "shell", "radix"))
Here dots(....) is the sequence of numeric, complex, character, or logical vectors or a classed R object. If na.last is TRUE, missing values in the data are put last; if FALSE, they are put first and the next is the method to be used here partial matches are allowed.
Below are the steps used in the R program to sort a given data frame by multiple column(s). In this R program, we directly give the data frame to a built-in function. Here we are using variables E, N, S, A, Q for holding different types of vectors. Call the function data.frame() for creating data frame. Finally, Sort a given data frame by multiple column(s) by calling like E[with(E, order(N, S)), ]
STEP 1: Assign variables E,N,S,A,Q with vector values
STEP 2: First print original vector values
STEP 3: Sort a given data frame by multiple column(s) by E[with(E, order(N, S)), ]
STEP 4: Assign the result data frame into E
STEP 5: Print the final data frame
E = data.frame(
N = c('Jhon', 'Hialy', 'Albert', 'James', 'Delma'),
S = c(10, 9.5, 12.2, 11, 8),
A = c(2, 1, 2, 4, 1),
Q = c('yes', 'no', 'yes', 'no', 'no')
)
print("Original dataframe:")
print(E)
print("dataframe after sorting 'N' and 'S' columns:")
E = E[with(E, order(N, S)), ]
print(E)
[1] "Original dataframe:"
name score attempts qualify
1 Jhon 10 2 yes
2 Hialy 9.5 1 no
3 Albert 12.2 2 yes
4 James 11 4 no
5 Delma 8 1 no
[1] "dataframe after sorting 'N' and 'S' columns:"
N S A Q
3 Albert 12.2 2 yes
5 Delma 8.0 1 no
2 Hialy 9.5 1 no
4 James 11.0 4 no
1 Jhon 10.0 2 yes
