Hi Marna, Okay. I think I have a better idea now. I still don't quite get what "output" represents, but I think the "table" you want is something like what is produced by this code:
birdlevels<-c("0","SiteA","SiteB","SiteC")
raw.data<-data.frame(T2010=factor(rep("SiteA",11),levels=birdlevels),
T2011=factor(c("0","SiteC","SiteA","0","SiteA","0","SiteA","0",
"SiteB","SiteB","SiteB"),levels=birdlevels),
T2012=factor(c("SiteA","SiteA","SiteA","0","SiteA","0","0",
"SiteB","SiteB","0","SiteB"),levels=birdlevels))
birdcol<-c("gray","red","green","blue")
library(plotrix)
sizetree(raw.data,col=list(birdcol,birdcol,birdcol),
main="Counts at release/capture sites")
and attached below. That is, I think what you want is a display of the
spatial transitions of the birds over time. If I'm correct, then maybe a
table like this will help:
2010 2011 2012
Site A 11 3 4
Site B 0 3 3
Site C 0 1 0
Unknown 0 4 4
Jim
On Sat, Dec 19, 2015 at 4:57 AM, Marna Wagley <marna.wag...@gmail.com>
wrote:
> Dear Jim,
> I am sorry for not explaining the question in a clear way. I am trying to
> explain it, let's see how much clear I can make it.
>
> For the given example, (raw.data). Let's say, the 11 birds were marked and
> released at site A in a landscape (a combination of sites siteA, siteB,
> site C) in 2010.
>
> In 2011, we revisited at the sites (siteA, SiteB, SiteC), among the 11
> birds, we recaptured 3 individuals at Site A, 3 at Site B, 1 at site C but
> we could not see 4 individuals at any sites.
>
> Again in 2012, we revisited at the sites (SiteA, SiteB, SiteC), we again
> recaptured 2 individuals which was recaptured at Site A in 2011 but 1
> individual could not seen at any sites (in another words: in 2011 at the
> site A we had recaptured 3 individuals, among them 2 were again seen at
> site A, but we could not see one individual in any sites).
>
> Similarly,we had recaptured 3 individuals in 2011 at the site B, but in
> 2012, among three individuals, one was again recaptured in Site B but 2
> individuals could not be seen at any sites.
>
> Likewise, for SiteC in 2012, we had recaptured 1 at that site (siteC), but
> in next year (2012), we could not see at any of the sites.
>
> Again, we had not seen 4 individuals in 2011, but later in 2012, among
> these 4 individuals, we recaptured one individual for each site B and C,
> and 2 individuals could not be seen.
>
> I have given the example dataset. If it is really confusing and takes your
> lots of time, please forget it, I will try to do in Excel manually,but it
> is taking so much time and easily making errors. Your help will be very
> useful.
>
> Sincerely,
>
>
> raw.data<-structure(list(Time1 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 1L), .Label = "SiteA", class = "factor"), Time2 =
> structure(c(1L, 4L, 2L, 1L, 2L, 1L, 2L, 1L, 3L, 3L, 3L), .Label = c("0",
> "SiteA",
> "SiteB", "SiteC"), class = "factor"), Time3 = structure(c(2L,
> 2L, 2L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 3L), .Label = c("0", "SiteA",
> "SiteB"), class = "factor")), .Names = c("Time1", "Time2", "Time3"
> ), class = "data.frame", row.names = c(NA, -11L))
>
> raw.data
>
> #####
> table.format<-structure(list(Time1 = structure(c(NA, NA, NA, NA, NA, 1L,
> NA,NA, NA, NA, NA, NA, NA, NA, NA, NA), .Label = "Released A", class =
> "factor"),Time2 = structure(c(NA, NA, 2L, NA, NA, NA, 3L, NA, NA, NA,
> 4L, NA, NA, NA, 1L, NA), .Label = c("NotSeen", "Re-captured.at.A",
> "Re-captured.at.B", "Re-captured.at.C"), class = "factor"),
> Time3 = structure(c(2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L,
> 4L, 1L, 2L, 3L, 4L, 1L), .Label = c("NotSeen", "Re-captured.at.A",
> "Re-captured.at.B", "Re-captured.at.C"), class = "factor")), .Names =
> c("Time1","Time2", "Time3"), class = "data.frame", row.names = c(NA, -16L
> ))
>
> table.format
>
> ###
> output<-structure(list(Time1 = c(NA, NA, NA, NA, NA, 11L, NA, NA, NA,
> NA, NA, NA, NA, NA, NA, NA), Time2 = c(NA, NA, 3L, NA, NA, NA,
> 3L, NA, NA, NA, 1L, NA, NA, NA, 4L, NA), Time3 = c(2L, NA, NA,
> 1L, NA, 2L, NA, 1L, 1L, NA, NA, NA, 1L, 1L, NA, 2L)), .Names = c("Time1",
> "Time2", "Time3"), class = "data.frame", row.names = c(NA, -16L
> ))
>
> output
>
> ##################################################
> ####################################################
>
>
> On Thu, Dec 17, 2015 at 11:38 PM, Jim Lemon <drjimle...@gmail.com> wrote:
>
>> Hi Marna,
>> A bit hard to understand. If raw.data is a record of 11 individuals
>> released at site A at Time 1 and recaptured at either A or B or neither at
>> Time2 or Time3, it doesn't seem to bear any consistent relationship to the
>> numeric coding in table.format or the output at the bottom. Could you
>> explain what the correspondence between the tables is?
>>
>> Jim
>>
>>
>> On Fri, Dec 18, 2015 at 2:33 PM, Marna Wagley <marna.wag...@gmail.com>
>> wrote:
>>
>>> Hi R users,
>>> I am struggling to create a table in R. I did in Excel but I have a lots
>>> of
>>> data and thought it might be easy in R but I am new in R. How to get
>>> "output table" for this example data?
>>>
>>> This is an example.
>>>
>>> #####
>>> raw.data<-structure(list(Time1 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
>>> 1L, 1L, 1L, 1L), .Label = "SiteA", class = "factor"), Time2 =
>>> structure(c(1L,
>>> 4L, 2L, 1L, 2L, 1L, 2L, 1L, 3L, 3L, 3L), .Label = c("0", "SiteA",
>>> "SiteB", "SiteC"), class = "factor"), Time3 = structure(c(2L,
>>> 2L, 2L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 3L), .Label = c("0", "SiteA",
>>> "SiteB"), class = "factor")), .Names = c("Time1", "Time2", "Time3"
>>> ), class = "data.frame", row.names = c(NA, -11L))
>>>
>>> raw.data
>>>
>>> #####
>>> table.format<-structure(list(Time1 = structure(c(NA, NA, NA, NA, NA, 1L,
>>> NA,
>>> NA, NA, NA, NA, NA, NA, NA, NA, NA), .Label = "Released A", class =
>>> "factor"),
>>> Time2 = structure(c(NA, NA, 2L, NA, NA, NA, 3L, NA, NA, NA,
>>> 4L, NA, NA, NA, 1L, NA), .Label = c("Dead", "Re-captured.at.A",
>>> "Re-captured.at.B", "Re-captured.at.C"), class = "factor"),
>>> Time3 = structure(c(2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L,
>>> 4L, 1L, 2L, 3L, 4L, 1L), .Label = c("Dead", "Re-captured.at.A",
>>> "Re-captured.at.B", "Re-captured.at.C"), class = "factor")), .Names =
>>> c("Time1",
>>> "Time2", "Time3"), class = "data.frame", row.names = c(NA, -16L
>>> ))
>>>
>>> table.format
>>>
>>> ###
>>> output<-structure(list(Time1 = c(NA, NA, NA, NA, NA, 11L, NA, NA, NA,
>>> NA, NA, NA, NA, NA, NA, NA), Time2 = c(NA, NA, 3L, NA, NA, NA,
>>> 3L, NA, NA, NA, 1L, NA, NA, NA, 4L, NA), Time3 = c(2L, NA, NA,
>>> 1L, NA, 2L, NA, 1L, 1L, NA, NA, NA, 1L, 1L, NA, 2L)), .Names = c("Time1",
>>> "Time2", "Time3"), class = "data.frame", row.names = c(NA, -16L
>>> ))
>>>
>>> output
>>>
>>> I want to get the table like "output". Any possibility to get it in R?
>>>
>>> I will really appreciate for your help. I am struggling to create this
>>> type of table.
>>>
>>>
>>> Sincerely,
>>> Marna
>>>
>>> [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> R-help@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.
>>>
>>
>>
>
birdsites.pdf
Description: Adobe PDF document
______________________________________________ R-help@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.
