[R] Detect and replace omitted data
David Winsemius
dwinsemius at comcast.net
Tue Oct 18 21:19:55 CEST 2011
On Oct 18, 2011, at 2:53 PM, Dennis Murphy wrote:
> Prompted by David's xtabs() suggestion, one way to do what I think the
> OP wants is to
> * define day and unit as factors whose levels comprise the full range
> of desired values;
> * use xtabs();
> * return the result as a data frame.
> Something like
>
> x <- data.frame( day = factor(rep(c(4, 6), each = 8), levels = 4:6),
> unit = factor(c(1:8, seq(2,16,2)), levels = 1:16),
> value = floor(rnorm(16,25,10)) )
> as.data.frame(with(x, xtabs(value ~ unit + day)))
Oh, ... sometimes I'm "slow". Dennis' code has it's virtues, but
sometimes people want to avoid factors. Could also create a zero-
numeric-matrix to fill the interiors and rbind to the analysis matrix
just in the data= input to xtabs:
zeroes <- cbind(day =seq( min(day), max(day), by=1),
unit=seq(min(unit), max(unit), by=1),
value=0) # ignore warning
xtabs(value~day+unit, data=rbind(x, zeroes) )
unit
day 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
4 25 34 3 25 38 18 19 33 0 0 0 0 0 0 0 0
5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
6 0 22 0 42 0 37 0 4 0 12 0 31 0 17 0 28
--
David.
>
> HTH,
> Dennis
>
> On Tue, Oct 18, 2011 at 11:33 AM, David Winsemius
> <dwinsemius at comcast.net> wrote:
>>
>> On Oct 18, 2011, at 2:24 PM, Sarah Goslee wrote:
>>
>>> Hi Jonny,
>>>
>>> On Tue, Oct 18, 2011 at 1:02 PM, Jonny Armstrong
>>> <jonny5armstrong at gmail.com> wrote:
>>>>
>>>> I am analyzing the spatial distribution of fish in a stream. The
>>>> stream
>>>> is
>>>> divided into equally sized units, and the number of fish in each
>>>> unit is
>>>> counted. My problem is that my dataset is missing rows where the
>>>> count in
>>>> a
>>>> unit equals zero. I need to create zero data for the missing units.
>>>>
>>>> For example:
>>>> day<-(c(rep(4,8),rep(6,8)))
>>>> unit<-c(seq(1,8,1),seq(2,16,2))
>>>> value<-floor(rnorm(16,25,10))
>>>> x<-cbind(day,unit,value)
>>>
>>> Thanks for the actual reproducible example.
>>>
>>>> x
>>>> day unit value
>>>> [1,] 4 1 19
>>>> [2,] 4 2 15
>>>> [3,] 4 3 16
>>>> [4,] 4 4 20
>>>> [5,] 4 5 17
>>>> [6,] 4 6 15
>>>> [7,] 4 7 14
>>>> [8,] 4 8 29
>>>> [9,] 6 2 18
>>>> [10,] 6 4 22
>>>> [11,] 6 6 27
>>>> [12,] 6 8 16
>>>> [13,] 6 10 45
>>>> [14,] 6 12 36
>>>> [15,] 6 14 34
>>>> [16,] 6 16 13
>>>>
>>>> Lets say the stream has 16 units. For each day, I want to fill in
>>>> rows
>>>> for
>>>> any missing units (e.g., units 9-16 for day 4, the odd numbered
>>>> units on
>>>> day
>>>> 6) with values of zero.
>>
>> I could not figure out what you wanted precisely. If "day" is the row
>> designator, and you want values by 'unit' and 'day' with zeros for
>> the
>> missing, then that is exactly what `xtab` delivers:
>>
>>> xtabs(value ~ day+unit, data=x)
>> unit
>> day 1 2 3 4 5 6 7 8 10 12 14 16
>> 4 25 34 3 25 38 18 19 33 0 0 0 0
>> 6 0 22 0 42 0 37 0 4 12 31 17 28
>>
>> You cannot get much more concise than that.
>>
>> --
>> david.
>>>
>>> Here's one option, though it may not be terribly concise:
>>>
>>> all.samples <- expand.grid(day=unique(x[,"day"]), unit=1:16)
>>> all.samples <- all.samples[order(all.samples[,"day"],
>>> all.samples[,"unit"]),]
>>> x.final <- merge(x, all.samples, all.y=TRUE)
>>> x.final[is.na(x.final[,"value"]), "value"] <- 0
>>>
>>> Sarah
>>>
>>>> Does anyone know a relatively concise way to do this?
>>>> Thank you.
>>>>
>>>> [[alternative HTML version deleted]]
>>>>
>>>
>>> --
>>> Sarah Goslee
>>> http://www.functionaldiversity.org
>>>
>>> ______________________________________________
>>> R-help at r-project.org mailing list
>>> 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.
>>
>> David Winsemius, MD
>> West Hartford, CT
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> 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.
>>
David Winsemius, MD
West Hartford, CT
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