Let’s start with one of the most common obstacles to data analysis: working with data that’s stored in two different places. For example, suppose that you wanted to look at batting statistics for baseball players by age. In most baseball data sources (like the Baseball Databank data), player information (like ages) is kept in different files from performance data (like batting statistics). So you would need to combine two files to do this analysis. This section discusses several tools in R used for combining data sets.
R provides several functions that allow you to paste together multiple data structures into a single structure.
The simplest of these functions is
paste function allows you to concatenate
multiple character vectors into a single vector. (If you concatenate a
vector of another type, it will be coerced to a character vector
> x <- c("a", "b", "c", "d", "e") > y <- c("A", "B", "C", "D", "E") > paste(x,y)  "a A" "b B" "c C" "d D" "e E"
By default, values are separated by a space; you can specify
another separator (or none at all) with the
> paste(x, y, sep="-")  "a-A" "b-B" "c-C" "d-D" "e-E"
If you would like all of values in the returned vector to be
concatenated with one another (to return just a single value), then
specify a value for the
argument. The value of
will be used as the separator in this value:
> paste(x, y, sep="-", collapse="#")  "a-A#b-B#c-C#d-D#e-E" ...