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Leer Challenge: Reshaping Data | Core R Data Structures for EDA
Essential R Data Structures for Exploratory Data Analysis
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bookChallenge: Reshaping Data

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You are given a data frame in wide format, where each row represents a subject and each column (apart from the first) represents a measurement variable.

  • Convert the input data frame from wide format to long format so that each measurement for each subject appears as a separate row. The resulting long format data frame should have columns for the subject, the variable name, and the value.
  • After reshaping, calculate the mean value for each variable across all subjects. Store these results in a summary data frame with one row per variable and columns for the variable name and its mean value.
  • Return a list with two elements: the reshaped long format data frame (named long_df) and the summary data frame (named summary_df).
  • Ensure the column names in the long format data frame are: Subject, variable, and value. The summary data frame should have columns: variable and value (the mean).
  • Use only base R functions for data manipulation.

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