Merge together multiple dataframes

I'm working on a script where I want to create one dataframe from a series of files with annual baseball data in them.

I'm relatively new to R and I feel like the way I wrote get_seasons_range() is probably more like writing C# in R, rather than doing it the idiomatic R way. Is there a cleaner way to do this?

read_season <- function(yearID) {
  season = read.csv(paste("../retrosheetData/gamelog/GL", yearID, ".TXT", sep=""))
  glheaders = read.csv("../retrosheetData/gamelog/game_log_header.csv")
  names(season) = names(glheaders)
  return(season)
}

read_season_range <- function(year_range) {
  seasons = read_season(year_range[1])

  for(y in year_range) {
    if(y == year_range[1])
      next

    s = read_season(y)
    seasons = rbind(seasons, s)
  }

  return(seasons)
}

sixties = read_season_range(1960:1969)

The for loop can be replaced with a lapply statement.
Using base R functions, your read_season_range example is equivalent to the following one-liner:

sixties <- do.call(rbind, lapply(1960:1969, read_season))

or to wrap it in a function:

read_season_range <- function(year_range) {
  do.call(rbind, lapply(year_range, read_season))
}

StackExchange Code Review Q#113374, answer score: 5