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R Programmingprogramming~10 mins

Sorting with order() in R Programming - Step-by-Step Execution

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Concept Flow - Sorting with order()
Input vector
↓
Call order()
↓
Compute indices for sorted order
↓
Use indices to reorder vector
↓
Return sorted vector
The order() function finds the positions that would sort a vector, then we use these positions to rearrange the vector in sorted order.
Execution Sample
R Programming
x <- c(30, 10, 20)
idx <- order(x)
sorted_x <- x[idx]
print(sorted_x)
This code sorts the vector x by getting the order indices and then reordering x accordingly.
Execution Table
StepActionInput/VariableResult/Output
1Define vector xx = c(30, 10, 20)x = (30, 10, 20)
2Call order(x)x = (30, 10, 20)idx = (2, 3, 1)
3Reorder x using idxx = (30, 10, 20), idx = (2, 3, 1)sorted_x = (10, 20, 30)
4Print sorted_xsorted_x = (10, 20, 30)Output: 10 20 30
💡 All steps complete, vector sorted using order indices.
Variable Tracker
VariableStartAfter Step 2After Step 3Final
x(30, 10, 20)(30, 10, 20)(30, 10, 20)(30, 10, 20)
idxundefined(2, 3, 1)(2, 3, 1)(2, 3, 1)
sorted_xundefinedundefined(10, 20, 30)(10, 20, 30)
Key Moments - 2 Insights
Why does order(x) return indices instead of the sorted values directly?
order(x) returns the positions that would sort x, not the sorted values themselves. This lets you reorder x or related vectors consistently, as shown in step 2 of the execution_table.
How does using idx to reorder x produce the sorted vector?
Using x[idx] rearranges x by the positions in idx, which are sorted order indices. This is shown in step 3 where sorted_x becomes (10, 20, 30).
Visual Quiz - 3 Questions
Test your understanding
Look at the execution_table, what is the value of idx after step 2?
A(1, 2, 3)
B(3, 1, 2)
C(2, 3, 1)
D(10, 20, 30)
💡 Hint
Check the 'Result/Output' column for step 2 in execution_table.
At which step is the vector actually sorted?
AStep 1
BStep 3
CStep 2
DStep 4
💡 Hint
Look for when sorted_x is assigned the reordered vector in execution_table.
If x was c(5, 3, 8), what would order(x) return?
A(2, 1, 3)
B(1, 2, 3)
C(3, 2, 1)
D(2, 3, 1)
💡 Hint
order(x) returns indices that sort x ascending; check variable_tracker logic.
Concept Snapshot
order(x) returns indices that sort vector x.
Use x[order(x)] to get sorted values.
Indices show positions of sorted elements.
Useful for sorting related data consistently.
Works for numeric, character, and factor vectors.
Full Transcript
This visual trace shows how the R function order() works to sort a vector. First, we define a vector x with values 30, 10, and 20. Then, order(x) returns the indices (2, 3, 1) which represent the positions of x's elements in ascending order. Using these indices to reorder x gives the sorted vector (10, 20, 30). Finally, printing sorted_x outputs the sorted values. This method separates finding the order from applying it, which is useful for sorting multiple related vectors the same way.

Practice

(1/5)
1. What does the order() function in R do?
easy
A. Sorts the vector and returns the sorted values directly
B. Removes duplicates from a vector
C. Returns the indices that would sort a vector in ascending order
D. Calculates the sum of all elements in a vector

Solution

  1. Step 1: Understand the purpose of order()

    The order() function returns the positions (indices) that would sort the vector, not the sorted vector itself.
  2. Step 2: Differentiate from sort()

    Unlike sort(), which returns sorted values, order() returns the order of indices to rearrange the vector.
  3. Final Answer:

    Returns the indices that would sort a vector in ascending order -> Option C
  4. Quick Check:

    order() = indices for sorting [OK]
Hint: Remember: order() gives positions, sort() gives sorted values [OK]
Common Mistakes:
  • Confusing order() with sort()
  • Expecting order() to return sorted values
  • Using order() to remove duplicates
2. Which of the following is the correct syntax to sort a vector v in decreasing order using order()?
easy
A. v[sort(v, decreasing = TRUE)]
B. order(v, decreasing = TRUE)
C. sort(order(v), decreasing = TRUE)
D. v[order(v, decreasing = TRUE)]

Solution

  1. Step 1: Use order() with decreasing = TRUE

    To sort vector v in decreasing order, use order(v, decreasing = TRUE) to get indices for sorting from largest to smallest.
  2. Step 2: Index vector v with order()

    Use these indices to reorder v as v[order(v, decreasing = TRUE)].
  3. Final Answer:

    v[order(v, decreasing = TRUE)] -> Option D
  4. Quick Check:

    v[order(v, decreasing=TRUE)] sorts descending [OK]
Hint: Index vector with order() for sorting, add decreasing=TRUE for reverse [OK]
Common Mistakes:
  • Using order() without indexing the vector
  • Trying to sort order() output directly
  • Using sort() on order() output incorrectly
3. What is the output of the following R code?
v <- c(4, 2, 9, 7)
v[order(v)]
medium
A. [1] 2 4 7 9
B. [1] 4 2 9 7
C. [1] 9 7 4 2
D. [1] 2 7 4 9

Solution

  1. Step 1: Calculate order(v)

    For v = c(4, 2, 9, 7), order(v) returns indices that sort v: positions of values in ascending order are 2 (2), 1 (4), 4 (7), 3 (9).
  2. Step 2: Index v with order(v)

    Using these indices: v[c(2,1,4,3)] gives 2 4 7 9.
  3. Final Answer:

    [1] 2 4 7 9 -> Option A
  4. Quick Check:

    v[order(v)] = sorted vector ascending [OK]
Hint: order() gives indices to sort; index vector to get sorted values [OK]
Common Mistakes:
  • Expecting order() to return sorted values directly
  • Mixing up indices and values
  • Incorrect indexing order
4. Identify the error in the following R code snippet:
v <- c(5, 3, 8, 1)
sorted_v <- order(v)
print(sorted_v)
medium
A. order() returns indices, not sorted values; should index v with order(v)
B. Missing parentheses in order function call
C. Vector v is not defined before order()
D. print() cannot display vectors

Solution

  1. Step 1: Understand what order() returns

    order(v) returns the indices that would sort v, not the sorted vector itself.
  2. Step 2: Correct usage to get sorted vector

    To get sorted values, use v[order(v)]. The code assigns indices to sorted_v, so printing it shows positions, not sorted values.
  3. Final Answer:

    order() returns indices, not sorted values; should index v with order(v) -> Option A
  4. Quick Check:

    order() = indices, index vector to sort [OK]
Hint: Use v[order(v)] to get sorted vector, not order(v) alone [OK]
Common Mistakes:
  • Expecting order() to return sorted vector
  • Printing order() output directly
  • Confusing order() with sort()
5. Given two related vectors names <- c("Anna", "Bob", "Cara") and scores <- c(88, 95, 90), how do you sort names by scores in descending order using order()?
hard
A. order(names, decreasing = TRUE)[scores]
B. names[order(scores, decreasing = TRUE)]
C. scores[order(names, decreasing = TRUE)]
D. sort(names, by = scores, decreasing = TRUE)

Solution

  1. Step 1: Use order() on scores with decreasing = TRUE

    To sort names by scores descending, get indices with order(scores, decreasing = TRUE).
  2. Step 2: Index names with these order indices

    Use these indices to reorder names: names[order(scores, decreasing = TRUE)].
  3. Final Answer:

    names[order(scores, decreasing = TRUE)] -> Option B
  4. Quick Check:

    Index names by order(scores, decreasing=TRUE) [OK]
Hint: Sort related vectors by ordering one, index the other [OK]
Common Mistakes:
  • Trying to sort names directly by scores without order()
  • Using sort() with non-existent 'by' argument
  • Mixing order() arguments or indexing incorrectly
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