Hi,
I would appreciate if somebody could help me with following calculation.
I have a dataframe, by 10 minutes time, for mostly one year data. This is
small example:
> dput(test)
structure(list(jul = structure(c(14655, 14655, 14655, 14655,
14655, 14655, 14655, 14655, 14655, 14655, 14655, 14655, 14655,
14655, 14655, 14655), origin = structure(0, class = "Date")),
time = structure(c(1266258354, 1266258954, 1266259554, 1266260154,
1266260754, 1266261354, 1266261954, 1266262554, 1266263154,
1266263754, 1266264354, 1266264954, 1266265554, 1266266154,
1266266754, 1266267354), class = c("POSIXct", "POSIXt"), tzone =
"GMT"),
act = c(130, 23, 45, 200, 200, 200, 199, 150, 0, 0, 0, 0,
34, 200, 200, 145), day = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
0, 0, 0, 0, 0, 0)), .Names = c("jul", "time", "act", "day"
), class = "data.frame", row.names = c(510L, 512L, 514L, 516L,
518L, 520L, 522L, 524L, 526L, 528L, 530L, 532L, 534L, 536L, 538L,
540L))
Looks like this:
> test
jul time act day
510 14655 2010-02-15 18:25:54 130 1
512 14655 2010-02-15 18:35:54 23 1
514 14655 2010-02-15 18:45:54 45 1
516 14655 2010-02-15 18:55:54 200 1
518 14655 2010-02-15 19:05:54 200 1
520 14655 2010-02-15 19:15:54 200 1
522 14655 2010-02-15 19:25:54 199 1
524 14655 2010-02-15 19:35:54 150 1
526 14655 2010-02-15 19:45:54 0 1
528 14655 2010-02-15 19:55:54 0 1
530 14655 2010-02-15 20:05:54 0 0
532 14655 2010-02-15 20:15:54 0 0
534 14655 2010-02-15 20:25:54 34 0
536 14655 2010-02-15 20:35:54 200 0
538 14655 2010-02-15 20:45:54 200 0
540 14655 2010-02-15 20:55:54 145 0
What I would like to calculate is the number of consecutive occurrences of
values 200, 0 and together values from 1 til 199 (in fact the values that
differ from 200 and 0) in column "act".
I would like to get something like this (result$res)
> result
jul time act day res res2
510 14655 2010-02-15 18:25:54 130 1 3 3
512 14655 2010-02-15 18:35:54 23 1 3 3
514 14655 2010-02-15 18:45:54 45 1 3 3
516 14655 2010-02-15 18:55:54 200 1 3 3
518 14655 2010-02-15 19:05:54 200 1 3 3
520 14655 2010-02-15 19:15:54 200 1 3 3
522 14655 2010-02-15 19:25:54 199 1 2 2
524 14655 2010-02-15 19:35:54 150 1 2 2
526 14655 2010-02-15 19:45:54 0 1 4 2
528 14655 2010-02-15 19:55:54 0 1 4 2
530 14655 2010-02-15 20:05:54 0 0 4 2
532 14655 2010-02-15 20:15:54 0 0 4 2
534 14655 2010-02-15 20:25:54 34 0 1 1
536 14655 2010-02-15 20:35:54 200 0 2 2
538 14655 2010-02-15 20:45:54 200 0 2 2
540 14655 2010-02-15 20:55:54 145 0 1 1
And if possible, distinguish among day==1 and day==0 (see the "act" values
of 0 for example), results as in result$res2.
After it I would like to make a resume table per days (jul):
where maxres is max(result$res) for the "act" value
where minres is min(result$res) for the "act" value
where sumres is sum(result$res) for the "act" value (for example, if the
200 value ocurrs in different times per day(jul) consecutively 3, 5, 1, 6
and 7 times the sumres would be 3+5+1+6+7= 22)
something like this (this are made up numbers):
jul act maxres minres sumres
14655 0 4 1 25
14655 200 3 2 48
14655 1-199 3 1 71
14656 0 8 2 38
14656 200 15 3 60
14656 1-199 11 4 46
...
(theoretically the sum of sumres per day(jul) should be 144)
____________
> sessionInfo()
R version 2.15.2 (2012-10-26)
Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit)
____________
I hope my explanation is sufficient. I appreciate any hint.
Thank you,
Zuzana
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