Q.Suppose you have two data frames described by the following:

DF1 <- data.frame(wages1 = rlnorm(100, meanlog = log(50000)), pension1 = rlnorm(100, meanlog = log(1e+05)))

DF2 <- data.frame(wages2 = rlnorm(100, meanlog = log(50000)), pension2 = rlnorm(100, meanlog = log(1e+05)))

Use the map2 function to create a function that adds the two together and generates a combined household income data frame called hhinc.

Q.Return to the wage data we generated in Question 3. S uppose each wage dataset had IDs as shown below:

DF1 <- data.frame(wages1 = rlnorm(100, meanlog = log(50000)), pension1 = rlnorm(100, meanlog = log(1e+05)), hhid = 1:100)

DF2 <- data.frame(wages2 = rlnorm(100, meanlog = log(50000)), pension2 = rlnorm(100, meanlog = log(1e+05)), hhid = 1:100)

Merge the two data frames using plyr join.