I have calculated the maximum counts per month in this data.frame:
counts <- data.frame(year = sort(rep(2000:2009, 12)), month = rep(month.abb,10), count
An alternate without conversion:
count_max[order(match(count_max$month, month.abb)), ]
# month max.count
# 5 Jan 466
# 4 Feb 356
# 8 Mar 496
# 1 Apr 489
# 9 May 498
# 7 Jun 497
# 6 Jul 491
# 2 Aug 446
# 12 Sep 414
# 11 Oct 490
# 10 Nov 416
# 3 Dec 475
Note that in your example, match(count...)
returns the position of a given month in month.abb
, which is what you want to sort by. You came real close, but instead of sorting by that vector, you subsetted by it. So, for example, August is the 2nd value in your original DF, but the 8th value in month.abb
, so the match value for the 2nd value in your subset vector is 8, which means you are going to put the 8th row of your original data frame (in your case March), into the second position of your new DF, instead of ranking the 2nd row in your original DF into 8th position of the new one.
The distinction is a bit of a brain twister, but if you think it through it should make sense.