[R] make new collumns with conditions
Rui Barradas
ru|pb@rr@d@@ @end|ng |rom @@po@pt
Mon Jan 25 18:59:01 CET 2021
Hello,
Michael, you're is almost right. I copy&pasted the OP's data but with so
many blank spaces I had to put single quotes around those values and
column names. Then, when I wrote the answer, I also posted the output of
dput(d_vigi)
so that others that might want to give it a try would have their job
made easier.
To the OP: the code before "Data in dput format:" is a proposed
solution, not the structure(list(etc)), like Michael says.
If you run that statement, you will see the data as you've posted it,
even with the original column names.
Hope this helps,
Rui Barradas
Às 17:33 de 25/01/21, Michael Dewey escreveu:
> Dear Krissie
>
> I think you misunderstood Rui's response. He was generating some fake
> data to test the code not suggesting you rebuild your data frame.
>
> Michael
>
> On 25/01/2021 16:01, krissievdh wrote:
>> Hi,
>> Thanks for your response.
>>
>> I do get what you're doing. However, the table I sent is just a small
>> piece
>> of the complete database. So for me to have to add in everything with
>> structure list (c ......) by hand would be too much work.
>> Just to give you an idea, the database is around 16000 rows and has 40
>> columns with other variables that I do want to keep. So I kind of
>> want to
>> find a way to keep everything and just add a couple of columns with the
>> calculated time for vigilant behavior and the percentage.
>>
>> Still thanks for thinking with me. I am looking into the aggregate
>> function. Hopefully, this could be a solution.
>>
>> krissie
>>
>>
>>
>>
>>
>>
>> Op ma 25 jan. 2021 16:44 schreef Rui Barradas <ruipbarradas using sapo.pt>:
>>
>>> Hello,
>>>
>>> Try the following.
>>> First aggregate the data, then get the totals, then the percentages.
>>> Finally, put the species in the result.
>>>
>>>
>>> agg <- aggregate(formula = `duration(s)` ~ `observation nr` + `behavior
>>> type`,
>>> data = d_vigi,
>>> FUN = sum,
>>> subset = `behavior type` == 'Vigilant')
>>> agg$total <- tapply(d_vigi$`duration(s)`, d_vigi$`observation nr`, FUN =
>>> sum)
>>> agg$percent <- round(100 * agg$`duration(s)`/agg$total)
>>>
>>> res <- merge(agg, d_vigi[c(1, 3:4)])
>>> res[!duplicated(res), ]
>>>
>>>
>>> Data in dput format:
>>>
>>>
>>> d_vigi <-
>>> structure(list(`behavior type` = c("Non-vigilant", "Vigilant",
>>> "Vigilant", "Non-vigilant", "Vigilant", "Vigilant", "Non-vigilant",
>>> "Unkown"), `duration(s)` = c(5L, 2L, 2L, 3L, 7L, 2L, 1L, 2L),
>>> `observation nr` = c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L), species =
>>> c("red deer",
>>> "red deer", "red deer", "red deer", "red deer", "red deer",
>>> "red deer", "red deer")), class = "data.frame", row.names = c(NA,
>>> -8L))
>>>
>>>
>>> Hope this helps,
>>>
>>> Rui Barradas
>>>
>>> Às 13:57 de 25/01/21, krissievdh escreveu:
>>>> Hi,
>>>>
>>>> I have a dataset (d_vigi)with this kind of data:
>>>> behavior type duration(s) observation nr species
>>>> Non-vigilant 5 1 red deer
>>>> Vigilant 2 1 red deer
>>>> Vigilant 2 1 red deer
>>>> Non-vigilant 3 1 red deer
>>>> Vigilant 7 2 red deer
>>>> Vigilant 2 2 red deer
>>>> Non-vigilant 1 2 red deer
>>>> Unkown 2 2 red deer
>>>> Now I have to calculate the percentage of vigilant behavior spent per
>>>> observation.
>>>>
>>>> So eventually I will need to end up with something like this:
>>>> Observation nr Species vigilant(s) total (s) percentage of vigilant (%)
>>>> 1 red deer 4 12 33
>>>> 2 red deer 9 12 75
>>>>
>>>>
>>>> Now I know how to calculate the total amount of seconds per
>>>> observation.
>>>> But I don't know how I get to the total seconds of vigilant behavior
>>>> per
>>>> observation (red numbers). If I could get there I will know how to
>>>> calculate the percentage.
>>>>
>>>>
>>>> I calculated the total duration per observation this way:
>>>> for(id in d_vigi$Obs.nr){
>>>>
>>>>
>>> d_vigi$t.duration[d_vigi$Obs.nr==id]<-sum(d_vigi$'Duration.(s).x'[d_vigi$Obs.nr==id])
>>>
>>>> }
>>>>
>>>> this does work and gives me the total (s) but i don't know how to
>>>> get to
>>>> the sum of the seconds just for the vigilant per observation number. Is
>>>> there anyone who could help me?
>>>>
>>>> Thanks,
>>>> Krissie
>>>>
>>>> [[alternative HTML version deleted]]
>>>>
>>>> ______________________________________________
>>>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>>> PLEASE do read the posting guide
>>> http://www.R-project.org/posting-guide.html
>>>> and provide commented, minimal, self-contained, reproducible code.
>>>>
>>>
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
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