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R Programmingprogramming~10 mins

Type checking and conversion in R Programming - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to check if the variable x is numeric.

R Programming
is_numeric <- is[1](x)
Drag options to blanks, or click blank then click option'
Anumeric
Attempts:
3 left
💡 Hint
Common Mistakes
Using is.integer() instead of is.numeric()
Using typeof() instead of is.numeric()
2fill in blank
medium

Complete the code to convert the variable y to a character type.

R Programming
y_char <- as[1](y)
Drag options to blanks, or click blank then click option'
Anumeric
Bcharacter
Clogical
Dinteger
Attempts:
3 left
💡 Hint
Common Mistakes
Using as.numeric() instead of as.character()
Using as.logical() instead of as.character()
3fill in blank
hard

Fix the error in the code to check if z is a logical type.

R Programming
is_logical <- is[1](z)
Drag options to blanks, or click blank then click option'
Alogical
Bnumeric
Ccharacter
Dinteger
Attempts:
3 left
💡 Hint
Common Mistakes
Using is.numeric() instead of is.logical()
Using is.character() instead of is.logical()
4fill in blank
hard

Fill both blanks to create a named vector with names as characters and values as numeric.

R Programming
vec <- c([1] = 1, [2] = 2)
Drag options to blanks, or click blank then click option'
A"a"
B"1"
C"b"
D"2"
Attempts:
3 left
💡 Hint
Common Mistakes
Using numbers as names without quotes
Using unquoted names
5fill in blank
hard

Fill all three blanks to create a list with a numeric, a character, and a logical element.

R Programming
my_list <- list(num = [1], char = [2], logi = [3])
Drag options to blanks, or click blank then click option'
A42
B"hello"
CTRUE
DFALSE
Attempts:
3 left
💡 Hint
Common Mistakes
Putting numbers inside quotes for numeric
Using FALSE instead of TRUE for logical

Practice

(1/5)
1. Which function in R checks if a variable is of numeric type?
easy
A. as.character()
B. as.numeric()
C. is.character()
D. is.numeric()

Solution

  1. Step 1: Understand type checking functions

    Functions starting with is. check the type of a variable.
  2. Step 2: Identify the correct function for numeric check

    is.numeric() returns TRUE if the variable is numeric.
  3. Final Answer:

    is.numeric() -> Option D
  4. Quick Check:

    Type check numeric = is.numeric() [OK]
Hint: Use is.type() to check type, as.type() to convert [OK]
Common Mistakes:
  • Confusing is.numeric() with as.numeric()
  • Using as.character() to check type
  • Using is.character() for numeric check
2. Which of the following is the correct way to convert a character vector c("1", "2", "3") to numeric in R?
easy
A. is.numeric(c("1", "2", "3"))
B. as.numeric(c("1", "2", "3"))
C. as.character(c(1, 2, 3))
D. is.character(c(1, 2, 3))

Solution

  1. Step 1: Identify conversion functions

    as.numeric() converts data to numeric type.
  2. Step 2: Apply conversion to character vector

    Using as.numeric(c("1", "2", "3")) converts strings to numbers 1, 2, 3.
  3. Final Answer:

    as.numeric(c("1", "2", "3")) -> Option B
  4. Quick Check:

    Convert char to numeric = as.numeric() [OK]
Hint: Use as.numeric() to convert strings to numbers [OK]
Common Mistakes:
  • Using is.numeric() instead of as.numeric()
  • Trying to convert numeric to character for numeric conversion
  • Confusing is.character() with conversion functions
3. What will be the output of the following R code?
vec <- c("10", "20", "30")
num_vec <- as.numeric(vec)
is.numeric(num_vec)
medium
A. TRUE
B. FALSE
C. Error
D. NA

Solution

  1. Step 1: Convert character vector to numeric

    as.numeric(vec) changes strings "10", "20", "30" to numbers 10, 20, 30.
  2. Step 2: Check if converted vector is numeric

    is.numeric(num_vec) returns TRUE because num_vec is numeric.
  3. Final Answer:

    TRUE -> Option A
  4. Quick Check:

    as.numeric() converts, is.numeric() confirms [OK]
Hint: as.numeric() converts, is.numeric() checks type [OK]
Common Mistakes:
  • Expecting FALSE because original was character
  • Thinking as.numeric() returns character
  • Confusing is.numeric() with as.numeric()
4. Identify the error in the following R code snippet:
val <- "123abc"
num_val <- as.numeric(val)
print(num_val)
medium
A. No error, prints 123
B. Syntax error due to quotes
C. Prints NA with a warning
D. Prints 0 without warning

Solution

  1. Step 1: Attempt to convert mixed string to numeric

    as.numeric("123abc") cannot convert because of non-numeric characters.
  2. Step 2: Result of conversion

    It returns NA and shows a warning about NAs introduced by coercion.
  3. Final Answer:

    Prints NA with a warning -> Option C
  4. Quick Check:

    Invalid numeric conversion = NA + warning [OK]
Hint: Invalid numeric strings convert to NA with warning [OK]
Common Mistakes:
  • Expecting partial numeric conversion
  • Ignoring warning messages
  • Assuming syntax error due to quotes
5. You have a list lst <- list("5", 10, "abc", "15.5"). Which R code correctly converts all elements to numeric, replacing non-convertible values with 0?
hard
A. sapply(lst, function(x) if(is.na(as.numeric(x))) 0 else as.numeric(x))
B. sapply(lst, function(x) as.numeric(x))
C. sapply(lst, function(x) if(is.na(as.numeric(x))) as.numeric(x) else 0)
D. sapply(lst, function(x) if(is.numeric(x)) x else 0)

Solution

  1. Step 1: Convert each element to numeric and check for NA

    Use as.numeric(x) inside a function and check if result is NA.
  2. Step 2: Replace NA with 0, else keep numeric value

    If as.numeric(x) is NA, return 0; otherwise return the numeric value.
  3. Final Answer:

    sapply(lst, function(x) if(is.na(as.numeric(x))) 0 else as.numeric(x)) -> Option A
  4. Quick Check:

    Replace NA with 0 using conditional inside sapply [OK]
Hint: Use is.na(as.numeric(x)) to detect and replace [OK]
Common Mistakes:
  • Not checking for NA after conversion
  • Replacing numeric values incorrectly
  • Confusing condition logic in if-else
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