Is this what you want?
tapply(x$count, list(x$delta_ts, x$status), sum)
ASSIGNED CLOSED NEW RESOLVED
2008-02-212 NA 20
2008-02-220 0 61
2008-02-232 1 120
2008-02-247 4 162
2008-02-252 6 225
2008-02-266 8 383
2008-02-27 NA 3 565
2008-02-28 NA 3 565
On Thu, Feb 28, 2008 at 8:22 PM, obradoa [EMAIL PROTECTED] wrote:
I am having hard time tabulating data in a dataframe, and getting a single
table for an answer. I am trying to tabulate all counts for given
status on a given date.
I have a data frame such as:
delta_ts status count
1 2008-02-27 CLOSED 3
2 2008-02-27 NEW56
3 2008-02-27 RESOLVED 5
4 2008-02-21 ASSIGNED 1
5 2008-02-21 ASSIGNED 1
6 2008-02-21 NEW 2
7 2008-02-21 RESOLVED 0
8 2008-02-22 ASSIGNED 0
9 2008-02-22 CLOSED 0
10 2008-02-22 NEW 6
11 2008-02-22 RESOLVED 1
12 2008-02-23 ASSIGNED 2
13 2008-02-23 CLOSED 1
14 2008-02-23 NEW12
15 2008-02-23 RESOLVED 0
16 2008-02-24 ASSIGNED 7
17 2008-02-24 CLOSED 4
18 2008-02-24 NEW16
19 2008-02-24 RESOLVED 2
20 2008-02-25 ASSIGNED 2
21 2008-02-25 CLOSED 6
22 2008-02-25 NEW22
23 2008-02-25 RESOLVED 5
24 2008-02-26 ASSIGNED 6
25 2008-02-26 CLOSED 8
26 2008-02-26 NEW38
27 2008-02-26 RESOLVED 3
28 2008-02-28 CLOSED 3
29 2008-02-28 NEW56
30 2008-02-28 RESOLVED 5
When I do table on that frame I get a long list that looks like this:
table(data)
, , count = 0
status
delta_ts ASSIGNED CLOSED NEW RESOLVED
2008-02-210 0 01
2008-02-221 1 00
2008-02-230 0 01
2008-02-240 0 00
2008-02-250 0 00
2008-02-260 0 00
2008-02-270 0 00
2008-02-280 0 00
and so on all the way up to
, , count = 56
status
delta_ts ASSIGNED CLOSED NEW RESOLVED
2008-02-210 0 00
2008-02-220 0 00
2008-02-230 0 00
2008-02-240 0 00
2008-02-250 0 00
2008-02-260 0 00
2008-02-270 0 10
2008-02-280 0 10
What I actually want is for my counts to be properly tabulated in one single
table that looks something like this.
delta_ts ASSIGNED CLOSED NEW RESOLVED
2008-02-212 5 915
and so on...
Any ideas what I am doing wrong?
Thanks!
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do, not how you want to do it.
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