Next, we will read in a few rows of the file (using the nrow parameters), and then run a str() function on the input to see which variables are contained within the file. There are several metrics in the file related to medicare enrollment. We will just concentrate on the total enrollment metrics, and not utilize some of the other sub-segments (such as military and private insurance) for this chapter:
x <- read.csv("x <- read.csv("hihist2bedit.csv", nrow = 10)"
str(x)
> 'data.frame': 10 obs. of 13 variables:
> $ Year : Factor w/ 10 levels "2003","2004 (4)",..: 10 9 8 7 6 5
4 3 2 1
> $ Year.1 : int 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003
> $ Total.People: num 311116 308827 306553 304280 301483 ...
> $ Total : num 263165 260214 256603 255295 256702 ...
> $ pritotal : num 198812 197323 196147 196245 202626 ...
> $ priemp : num 170877 170102 169372 170762 177543 ...
> $ pridirect : num...
