Practical Predictive Analytics

Merging scores back into the original dataframe

We will augment the original x2 dataframe with this new information by merging back by category, and then by sorting the dataframe by the rank of the coefficient. This will allow us to use this as a proxy for trend:

x2x <- x2 %>% left_join(xx4, by = "cat") %>% arrange(coef.rank, cat)# exclude some columns so as to fit on one pagehead(x2x[, c(-2, -3, -4, -8)]) > Source: local data frame [6 x 7]> >                   cat Year.1 Total.People    Total Not.Covered.Pct>                (fctr)  (int)        (dbl)    (dbl)           (dbl)> 1 MALE 18 to 24 YEARS   2012     15142.04 11091.86       0.2674787> 2 MALE 18 to 24 YEARS   2011     15159.87 11028.75       0.2725034> 3 MALE 18 to 24 YEARS   2010     14986.02 10646.88       0.2895460> 4 MALE 18 to 24 YEARS 2010 14837.14 10109.82 0.3186139 ...