Correlation analysis in R Programming - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to calculate the correlation between two numeric vectors x and y.

R Programming

correlation <- cor(x, y, method = [1])

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

A"pearson"

B"spearman"

C"kendall"

D"linear"

Attempts:

3 left

💡 Hint

Common Mistakes

Using an invalid method name like "linear" causes an error.

Confusing method names with other correlation types.

The default and most common method for correlation is "pearson" which measures linear correlation.

2fill in blank

medium

Complete the code to calculate the correlation matrix of the dataframe df.

R Programming

cor_matrix <- cor([1])

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

Adf

Bdata

Cmatrix

Dlist

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a list instead of a dataframe causes an error.

Passing an undefined variable name.

The function cor() expects a numeric matrix or dataframe. Here, df is the dataframe containing numeric columns.

3fill in blank

hard

Fix the error in the code to calculate the Spearman correlation between vectors a and b.

R Programming

correlation <- cor(a, b, method = [1])

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

ASpearman

Bspearman

C"spearman"

DSPEARMAN

Attempts:

3 left

💡 Hint

Common Mistakes

Not using quotes around the method name causes an error.

Using incorrect capitalization without quotes.

The method argument requires the method name as a string, so it must be in quotes.

4fill in blank

hard

Fill both blanks to calculate the correlation matrix of numeric columns only from df.

R Programming

numeric_df <- df[sapply(df, [1])]
cor_matrix <- cor(numeric_df, method = [2])

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

Ais.numeric

Bis.character

C"pearson"

D"kendall"

Attempts:

3 left

💡 Hint

Common Mistakes

Selecting non-numeric columns causes errors in cor().

Using method names without quotes.

Use is.numeric to select numeric columns, and "pearson" as the correlation method for linear correlation.

5fill in blank

hard

Fill all three blanks to calculate the correlation between x and y using Spearman method and round the result to 3 decimals.

R Programming

result <- round(cor([1], [2], method = [3]), 3)

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

Ax

By

C"spearman"

D"pearson"

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect variable names.

Not quoting the method name causes errors.

Use variables x and y as inputs, and specify the method as "spearman" in quotes. Then round the result to 3 decimal places.