Transpose and inverse in R Programming - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to transpose matrix m.

R Programming

t_m <- [1](m)

Drag options to blanks, or click blank then click option'

Atranspose

Bt

Cinv

Dsolve

Attempts:

3 left

💡 Hint

Common Mistakes

Using solve() instead of t() for transpose

Using inv() which is not a base R function

The t() function transposes a matrix in R.

2fill in blank

medium

Complete the code to find the inverse of matrix m.

R Programming

inv_m <- [1](m)

Drag options to blanks, or click blank then click option'

Asolve

Binverse

Ct

Dinv

Attempts:

3 left

💡 Hint

Common Mistakes

Using t() which transposes, not inverts

Using inv() which is not a base R function

The solve() function computes the inverse of a matrix in R.

3fill in blank

hard

Fix the error in the code to correctly compute the inverse of matrix m.

R Programming

inverse_m <- [1](m)

Drag options to blanks, or click blank then click option'

Atranspose

Binv

Ct

Dsolve

Attempts:

3 left

💡 Hint

Common Mistakes

Using inv() which is not defined

Using t() which transposes instead of inverts

Only solve() correctly computes the inverse in base R.

4fill in blank

hard

Fill both blanks to create a matrix m and then transpose it.

R Programming

m <- matrix(c(1, 2, 3, 4), nrow = [1], ncol = [2])
t_m <- t(m)

Drag options to blanks, or click blank then click option'

A2

B3

C4

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Setting nrow or ncol incorrectly causing dimension mismatch

The matrix has 2 rows and 2 columns as per the data vector length.

5fill in blank

hard

Fill all three blanks to create a matrix, find its inverse, and then transpose the inverse.

R Programming

m <- matrix(c(4, 7, 2, 6), nrow = [1], ncol = [2])
inv_m <- [3](m)
t_inv_m <- t(inv_m)

Drag options to blanks, or click blank then click option'

A2

Csolve

Dt

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong dimensions for the matrix

Using t() instead of solve() for inversion

The matrix is 2x2, solve() finds its inverse, then t() transposes it.