[R] binning dates by decade for simulated data

[jtgarcia]

I have a simulated matrix of dates that I generated from a probability
function. Each column represents a single iteration.

I would like to bin each run _separately_ by decades and dump them into a
new matrix where each column is the length of all decades a single run with
the number dates binned by decade. 

I have successfully done this for a single vector of dates, but not for a
matrix:

"dates" is a vector of observed data representing when certain trees
established in a population

#-----find min and max decade -----#

	minDecade <- min(dates)
	maxDecade <- max(dates)

#-----create vector of decades -----#
	
	allDecades <- seq(minDecade, 2001, by=10) 

#-----make empty vector of same length as decade vector-----#
	
	bin.vec <- rep(0,length(allDecades))

#-----populate bin.vec (empty vector) with the number of trees in each
decade-----#

	for (i in 1:length(allDecades)) {
			
			bin.vec[i] <- length(which(dates==allDecades[i]))
		}
			

bin.vec : [1]    0  0  0  0  0  0  0  0  0  0  1  1  1  0  1  2  0  1
               [19]  3  0  1  3  8  5  9  8  5  5  4 10  3  6  9 17 32 37
               [37] 35 25 31 41 41 44 45 40 50 43 59 42 46 28 16 18 20 16
               [55] 11  4  7  1


My matrix looks like this (it actually had 835 rows, I used head (x) just to
demonstrate).

head(bin.mat)
     [,1]     [,2]     [,3]   [,4]   [,5]    [,6]    [,7]   [,8]    [,9]    
[,10]
[1,] 1831 1811 1841 1881 1851 1871 1921 1821 1781  1561
[2,] 1851 1931 1821 1701 1841 1961 1941 1931 1891  1841
[3,] 1751 1861 1861 1751 1841 1841 1771 1971 1811  1871
[4,] 1831 1871 1741 1881 1871 1771 1821 1901 1901  1851
[5,] 1681 1861 1871 1811 1711 1931 1891 1771 1811  1821
[6,] 1931 1841 1841 1861 1831 1881 1601 1861 1891  1891

Each column is a separate run (runs <- 10 ) .  How can I bin each column
into decades separately?

I'll bet this is super easy, but my R-skills are seriously limited!!!

Thanks for any help!
~Jeff

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