Combine

You now know the female proportion borrowing for urban and rural areas for all years. However, the result resides in a list. Converting this list to a matrix or data frame may sometimes be convenient in case you want to calculate any summary statistics or visualize the results. In this exercise, you will combine the results into a matrix.

This exercise is part of the course

Scalable Data Processing in R

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Exercise instructions

all_years from the previous exercise is available in your workspace.

Call Reduce() on all_years to combine the results from the previous exercise. The function to apply here is rbind (short for row bind).
Use the dimnames() function to add row and column names to this matrix, prop_female.
- The rownames are the names() of the list all_years.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Collect the results as rows in a matrix
prop_female <- ___(___, ___)

# Rename the row and column names
___(prop_female) <- list(___, c("prop_female_urban", "prop_femal_rural"))

# View the matrix
prop_female

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