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HJ YAN

2012-Sep-05 23:57 UTC

[R] Summarizing data containing data/time information (as factor)

Dear R user

I want to create a table (as below) to summarize the attached data
(Test.csv, which can be read into R by using 'read.csv(Test.csv,
header=F)'
), to indicate the day that there are any data available, e.g.value=1 if
there are any data available for that day, otherwise value=0.


              28/04     29/04    30/04    01/05   02/05
532703     0              1         1           1        0
532704     1              1         1           1        1
532705     0              0         1           1        0

Only Column A (Names: automatically stored as integer if being read into R)
and Column B (date/time: automatically stored as factor if being read into
R) are useful for this task.

Could anyone kindly provide me some hints/ideas about how to write some
code to to this job please?


Many thanks in advance!

Best wishes
HJ

arun

2012-Sep-06 01:08 UTC

head link

[R] Summarizing data containing data/time information (as factor)

Hi,

I couldn't find any attached data.? Could you dput() the data?
A.K.

----- Original Message -----
From: HJ YAN <yhj204 at googlemail.com>
To: r-help at r-project.org
Cc: 
Sent: Wednesday, September 5, 2012 7:57 PM
Subject: [R] Summarizing data containing data/time information (as factor)

Dear R user

I want to create a table (as below) to summarize the attached data
(Test.csv, which can be read into R by using 'read.csv(Test.csv,
header=F)'
), to indicate the day that there are any data available, e.g.value=1 if
there are any data available for that day, otherwise value=0.

? ? ? ? ? ? ? 28/04? ?  29/04? ? 30/04? ? 01/05?  02/05
532703? ?  0? ? ? ? ? ? ? 1? ? ? ?  1? ? ? ? ?  1? ? ? ? 0
532704? ?  1? ? ? ? ? ? ? 1? ? ? ?  1? ? ? ? ?  1? ? ? ? 1
532705? ?  0? ? ? ? ? ? ? 0? ? ? ?  1? ? ? ? ?  1? ? ? ? 0

Only Column A (Names: automatically stored as integer if being read into R)
and Column B (date/time: automatically stored as factor if being read into
R) are useful for this task.

Could anyone kindly provide me some hints/ideas about how to write some
code to to this job please?

Many thanks in advance!

Best wishes
HJ

______________________________________________
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

2012-Sep-06 02:48 UTC

head link

[R] Summarizing data containing data/time information (as factor)

On Sep 5, 2012, at 4:57 PM, HJ YAN wrote:
> Dear R user
> 
> I want to create a table (as below) to summarize the attached data
> (Test.csv, which can be read into R by using 'read.csv(Test.csv,
header=F)'
> ),
Unfortunately you did not read theinformation about posting attachments
carefully enough and you csv filewas scrubbed by the mailserver.. I will attempt
to recreate it:> dat <- read.table(text="             28/04     29/04    30/04   
01/05   02/05+ 532703     0              1         1           1        0
+ 532704     1              1         1           1        1
+ 532705     0              0         1           1        0",
header=TRUE)> sdat <- stack(dat)
> sdat$id <- rownames(dat)
> sdat2 <- sdat[sdat$values>0, c(3,2,1)]
> sdat2$ind <- factor( sub("\\.", "/", sdat2$ind))
> sdat2$ind <- factor( sub("X", "", sdat2$ind))
At this point I think I have something similar to your original and will show
how xtabs() can be used:
> xtabs(values ~id+ind, data=sdat2)        ind
id       01/05 02/05 28/04 29/04 30/04
  532703     1     0     0     1     1
  532704     1     1     1     1     1
  532705     1     0     0     0     1

The dates are not sorted the same but if you used Date formatted values, they
might.
> sdat2$dt <- as.Date( sdat2$ind, format="%d/%m")
> xtabs(values ~id+dt, data=sdat2)        dt
id       2012-04-28 2012-04-29 2012-04-30 2012-05-01 2012-05-02
  532703          0          1          1          1          0
  532704          1          1          1          1          1
  532705          0          0          1          1          0

> to indicate the day that there are any data available, e.g.value=1 if
> there are any data available for that day, otherwise value=0.
> 
> 
>              28/04     29/04    30/04    01/05   02/05
> 532703     0              1         1           1        0
> 532704     1              1         1           1        1
> 532705     0              0         1           1        0
> 
> Only Column A (Names: automatically stored as integer if being read into R)
> and Column B (date/time: automatically stored as factor if being read into
> R) are useful for this task.
> 
> Could anyone kindly provide me some hints/ideas about how to write some
> code to to this job please?
> 
> 
> Many thanks in advance!
> 
> Best wishes
> HJ
> ______________________________________________
> 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
Alameda, CA, USA

arun

2012-Sep-06 15:41 UTC

head link

[R] Summarizing data containing data/time information (as factor)

HI HJ,
No problem.


The gsub() was used to just format your date column to make almost the way you
wanted the results:
dat2$date
# [1] "2012-04-29" "2012-04-30" "2012-05-01"
"2012-04-28" "2012-04-29"
?#[6] "2012-04-30" "2012-05-01" "2012-05-02"
"2012-04-30" "2012-05-01"



gsub(".*-(.*)-(.*)","\\2/\\1",dat2$date)
?#[1] "29/04" "30/04" "01/05" "28/04"
"29/04" "30/04" "01/05" "02/05"
"30/04"
#[10] "01/05"


#Suppose I just reverse the contents inside the second " ".
gsub(".*-(.*)-(.*)","\\1/\\2",dat2$date)
?#[1] "04/29" "04/30" "05/01" "04/28"
"04/29" "04/30" "05/01" "05/02"
"04/30"
#[10] "05/01"
#From the p.s., I guess you understand the difference.

#The contents inside the first " " are the pattern we match, and the
second " " are the replacement.?

#Now, the ".*-(.*)-(.*)" -first .* will match all the contents before
"-" in dat2$date.? I used brackets (.*) for the second and third so
that it could be select those specifically and use it #as replacement \\1 and
\\2 inside the second " ".


#If you want to learn regular expressions, there are a lot of resources on the
net.
#For example:
http://www.regular-expressions.info/
http://gnosis.cx/publish/programming/regular_expressions.html

A.K.

________________________________
From: HJ YAN <yhj204 at googlemail.com>
To: arun <smartpink111 at yahoo.com> 
Sent: Thursday, September 6, 2012 10:49 AM
Subject: Re: [R] Summarizing data containing data/time information (as factor)


Wow! Thanks so much Arun!!?

I like this piece of code very much, ?especially using 'aggregate()' to
solve my problem. ?Marvellous!

The code does what I wanted perfectly. ?May I just ask how the ?gsub() bit
works, e.g. now I understand it replace the pattern in the first part, and
`(.*)` groups everything between the two '-' in my date/time data, but I
did not get how the second part works (e.g. '\\2/\\1')?? ?I think this
gsub() and grep() are very useful for coding, so?if there is a good source
(better than using help(grub)) ?to learn them that can be recommended that would
be very much grateful. ?

Massive thanks again!

p.s. I just learned using as.Date and mended the following code to make the
table in?Chronological order as I originally wanted,?
e.g. ?'?28/04 ?29/04 ?30/04 ?01/05 02/05'? rather than ?'01/05 02/05
28/04 29/04 30/04'

dat2$date1<-as.Date(gsub(".*-(.*)-(.*)","\\2/\\1",dat2$date),format="%d/%m")

HJ?



On Thu, Sep 6, 2012 at 1:40 PM, arun <smartpink111 at yahoo.com> wrote:

Hi,>May be this is what you wanted:
>I named your dput() data as dat1.
>?source("HuYan.txt")
>head(dat1)
>dat1$date<- as.Date(dat1$V2,format="%d/%m/%Y %H:%M")
>dat2<-aggregate(V3~date+V1,data=dat1,mean)
>dat2$date1<-gsub(".*-(.*)-(.*)","\\2/\\1",dat2$date)
>?dat2$V3<-1
>?xtabs(V3~V1+date1,data=dat2)
>??????? date1
>V1?????? 01/05 02/05 28/04 29/04 30/04
>
>? 532703???? 1???? 0???? 0???? 1???? 1
>
>? 532704???? 1???? 1???? 1???? 1???? 1
>? 532705???? 1???? 0???? 0???? 0???? 1
>A.K.
>
>
>
>
>
>
>
>________________________________
>From: HJ YAN <yhj204 at googlemail.com>
>To: arun <smartpink111 at yahoo.com>
>Cc: r-help at r-project.org; dwinsemius at comcast.net
>Sent: Thursday, September 6, 2012 5:02 AM
>Subject: Re: [R] Summarizing data containing data/time information (as
factor)
>
>
>
>
>
>
>
>Hi Arun and David
>
>
>Thanks a lot for your reply and sorry for sending the csv file. ?(p.s.?I can
download my csv file from the email I sent, so I'm not sure why this doesn`t
work for other users...)
>
>
>Anyway, below I used dput() ?and I am attaching the output from R:?
>
>
>structure(list(V1 = c(532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,?
>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,?
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,?
>532705L, 532705L, 532705L, 532705L), V2 = structure(c(258L, 259L,?
>260L, 261L, 262L, 263L, 264L, 265L, 266L, 267L, 268L, 269L, 270L,?
>271L, 272L, 273L, 274L, 275L, 276L, 277L, 278L, 279L, 280L, 281L,?
>282L, 283L, 284L, 285L, 286L, 287L, 288L, 289L, 290L, 291L, 292L,?
>293L, 294L, 295L, 296L, 297L, 298L, 299L, 300L, 301L, 302L, 303L,?
>304L, 305L, 306L, 307L, 308L, 309L, 310L, 311L, 312L, 313L, 314L,?
>315L, 316L, 317L, 318L, 319L, 320L, 321L, 322L, 323L, 324L, 325L,?
>326L, 327L, 328L, 329L, 330L, 331L, 332L, 333L, 334L, 335L, 336L,?
>337L, 338L, 339L, 340L, 341L, 342L, 343L, 344L, 345L, 346L, 347L,?
>348L, 349L, 350L, 351L, 352L, 353L, 354L, 355L, 356L, 357L, 358L,?
>359L, 360L, 361L, 362L, 363L, 364L, 365L, 366L, 367L, 368L, 369L,?
>370L, 371L, 372L, 373L, 374L, 375L, 376L, 377L, 378L, 379L, 380L,?
>381L, 382L, 383L, 384L, 385L, 386L, 387L, 388L, 389L, 390L, 391L,?
>392L, 393L, 394L, 395L, 396L, 397L, 398L, 399L, 400L, 401L, 402L,?
>403L, 404L, 405L, 406L, 407L, 408L, 409L, 410L, 411L, 412L, 413L,?
>414L, 415L, 416L, 417L, 418L, 419L, 420L, 421L, 422L, 423L, 424L,?
>425L, 426L, 427L, 428L, 429L, 430L, 431L, 432L, 433L, 434L, 435L,?
>436L, 437L, 438L, 439L, 440L, 441L, 442L, 443L, 444L, 445L, 446L,?
>447L, 448L, 449L, 450L, 451L, 452L, 453L, 454L, 455L, 456L, 457L,?
>458L, 459L, 460L, 461L, 462L, 463L, 464L, 465L, 466L, 467L, 468L,?
>469L, 470L, 471L, 472L, 473L, 474L, 475L, 476L, 477L, 478L, 479L,?
>480L, 481L, 482L, 483L, 484L, 485L, 486L, 487L, 488L, 489L, 490L,?
>1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,?
>15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L,?
>28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L,?
>41L, 42L, 43L, 44L, 194L, 195L, 196L, 197L, 198L, 199L, 200L,?
>201L, 202L, 203L, 204L, 205L, 206L, 207L, 208L, 209L, 210L, 211L,?
>212L, 213L, 214L, 215L, 216L, 217L, 218L, 219L, 220L, 221L, 222L,?
>223L, 224L, 225L, 226L, 227L, 228L, 229L, 230L, 231L, 232L, 233L,?
>234L, 235L, 236L, 237L, 238L, 239L, 240L, 241L, 242L, 243L, 244L,?
>245L, 246L, 247L, 248L, 249L, 250L, 251L, 252L, 253L, 254L, 255L,?
>256L, 257L, 258L, 259L, 260L, 261L, 262L, 263L, 264L, 265L, 266L,?
>267L, 268L, 269L, 270L, 271L, 272L, 273L, 274L, 275L, 276L, 277L,?
>278L, 279L, 280L, 281L, 282L, 283L, 284L, 285L, 286L, 287L, 288L,?
>289L, 290L, 291L, 292L, 293L, 294L, 295L, 296L, 297L, 298L, 299L,?
>300L, 301L, 302L, 303L, 304L, 305L, 306L, 307L, 308L, 309L, 310L,?
>311L, 312L, 313L, 314L, 315L, 316L, 317L, 318L, 319L, 320L, 321L,?
>322L, 323L, 324L, 325L, 326L, 327L, 328L, 329L, 330L, 331L, 332L,?
>333L, 334L, 335L, 336L, 337L, 338L, 339L, 340L, 341L, 342L, 343L,?
>344L, 345L, 346L, 347L, 348L, 349L, 350L, 351L, 352L, 353L, 354L,?
>355L, 356L, 357L, 358L, 359L, 360L, 361L, 362L, 363L, 364L, 365L,?
>366L, 367L, 368L, 369L, 370L, 371L, 372L, 373L, 374L, 375L, 376L,?
>377L, 378L, 379L, 380L, 381L, 382L, 383L, 384L, 385L, 386L, 387L,?
>388L, 389L, 390L, 391L, 392L, 393L, 394L, 395L, 396L, 397L, 398L,?
>399L, 400L, 401L, 402L, 403L, 404L, 405L, 406L, 407L, 408L, 409L,?
>410L, 411L, 412L, 413L, 414L, 415L, 416L, 417L, 418L, 419L, 420L,?
>421L, 422L, 423L, 424L, 425L, 426L, 427L, 428L, 429L, 430L, 431L,?
>432L, 433L, 434L, 435L, 436L, 437L, 438L, 439L, 440L, 441L, 442L,?
>443L, 444L, 445L, 446L, 447L, 448L, 449L, 450L, 451L, 452L, 453L,?
>454L, 455L, 456L, 457L, 458L, 459L, 460L, 461L, 462L, 463L, 464L,?
>465L, 466L, 467L, 468L, 469L, 470L, 471L, 472L, 473L, 474L, 475L,?
>476L, 477L, 478L, 479L, 480L, 481L, 482L, 483L, 484L, 485L, 486L,?
>487L, 488L, 489L, 490L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,?
>11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L,?
>24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L,?
>37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L,?
>50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L,?
>63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L,?
>76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L,?
>89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L,?
>101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L,?
>112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 122L,?
>123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 132L, 133L,?
>134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L,?
>145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L,?
>156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L,?
>167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L, 175L, 176L, 177L,?
>178L, 179L, 180L, 181L, 182L, 183L, 184L, 185L, 186L, 187L, 188L,?
>189L, 190L, 191L, 192L, 193L, 471L, 472L, 473L, 474L, 475L, 476L,?
>477L, 478L, 479L, 480L, 481L, 482L, 483L, 484L, 485L, 486L, 487L,?
>488L, 489L, 490L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,?
>12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L,?
>25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L,?
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>113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 122L, 123L,?
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>"30/04/2012 22:40", "30/04/2012 22:50", "30/04/2012
23:00", "30/04/2012 23:10",?
>"30/04/2012 23:20", "30/04/2012 23:30", "30/04/2012
23:40", "30/04/2012 23:50"
>), class = "factor"), V3 = c(0.03, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03,?
>0.04, 0.04, 0.04, 0.03, 0.03, 0.03, 0.03, 0.03, 0.04, 0.03, 0.03,?
>0.03, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.03, 0.03,?
>0.03, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.03, 0.03, 0.04,?
>0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.04, 0.03, 0.04, 0.03,?
>0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04,?
>0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.03, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.03,?
>0.04, 0.04, 0.03, 0.04, 0.03, 0.04, 0.04, 0.03, 0.03, 0.04, 0.04,?
>0.04, 0.04, 0.03, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.03, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.03, 0.03, 0.03, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04,?
>0.04, 0.03, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.03, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.03, 0.03, 0.04, 0.04, 0.03, 0.04, 0.04, 0.03, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.03,?
>0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.03,?
>0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,?
>0.04, 0.04, 0.04, 0.04)), .Names = c("V1", "V2",
"V3"), class = "data.frame", row.names = c(NA,?
>-912L))
>
>
>Let make my question clearer:
>
>I want to make summary of the data above into a table as below to show
the?days that there are any data available, e.g.value=1 if
>there are any data available for that day, otherwise value=0. There are
three id in my data: 532703, 532704 and 532705. data are collected at 10 minutes
interval each day (e.g. 144 observations for a day if no missing data).?
>
>
>? ? ? ? ? ? ? 28/04? ? ?29/04? ? 30/04? ? 01/05? ?02/05
>532703? ? ?0? ? ? ? ? ? ? 1? ? ? ? ?1? ? ? ? ? ?1? ? ? ? 0
>532704? ? ?1? ? ? ? ? ? ? 1? ? ? ? ?1? ? ? ? ? ?1? ? ? ? 1
>532705? ? ?0? ? ? ? ? ? ? 0? ? ? ? ?1? ? ? ? ? ?1? ? ? ? 0
>
>
>
>Sorry for the confusion to David, and hope this is clear now.
>
>Many thanks again.
>
>Best wishes,
>
>HJ
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>On Thu, Sep 6, 2012 at 2:08 AM, arun <smartpink111 at yahoo.com>
wrote:
>
>Hi,
>>
>>I couldn't find any attached data.? Could you dput() the data?
>>A.K.
>>
>>
>>
>>
>>----- Original Message -----
>>From: HJ YAN <yhj204 at googlemail.com>
>>To: r-help at r-project.org
>>Cc:
>>Sent: Wednesday, September 5, 2012 7:57 PM
>>Subject: [R] Summarizing data containing data/time information (as
factor)
>>
>>Dear R user
>>
>>I want to create a table (as below) to summarize the attached data
>>(Test.csv, which can be read into R by using 'read.csv(Test.csv,
header=F)'
>>), to indicate the day that there are any data available, e.g.value=1 if
>>there are any data available for that day, otherwise value=0.
>>
>>
>>? ? ? ? ? ? ? 28/04? ? ?29/04? ? 30/04? ? 01/05? ?02/05
>>532703? ? ?0? ? ? ? ? ? ? 1? ? ? ? ?1? ? ? ? ? ?1? ? ? ? 0
>>532704? ? ?1? ? ? ? ? ? ? 1? ? ? ? ?1? ? ? ? ? ?1? ? ? ? 1
>>532705? ? ?0? ? ? ? ? ? ? 0? ? ? ? ?1? ? ? ? ? ?1? ? ? ? 0
>>
>>Only Column A (Names: automatically stored as integer if being read into
R)
>>and Column B (date/time: automatically stored as factor if being read
into
>>R) are useful for this task.
>>
>>Could anyone kindly provide me some hints/ideas about how to write some
>>code to to this job please?
>>
>>
>>Many thanks in advance!
>>
>>Best wishes
>>HJ
>>
>>______________________________________________
>>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.
>>
>>
>

HJ YAN

2012-Sep-18 11:21 UTC

head link

[R] Summarizing data containing data/time information (as factor)

Dear Arun and David

For the same dataset I sent in my previous email (I am attaching my
data 'Data20120918.tex' as txt file this time as required),  how could I
create a subset only contains data  collected between 29/04/2012  12:00 --
01/05/2012 12:00, where the time format in the date/time column is
'dd/mm/yyyy hh:mm'?

Many thanks again in advance!

HJ
p.s. in this case I'm not too sure whether I should open a new question or
just do a reply like this one, as I was thinking this question needs
relevant knowledge to the question in my previous email...?

















On Tue, Sep 11, 2012 at 12:52 PM, arun <smartpink111 at yahoo.com> wrote:
>
>
> Hi HJ,
> No problem.
> Arun
>
> ________________________________
> From: HJ YAN <yhj204 at googlemail.com>
> To: arun <smartpink111 at yahoo.com>
> Sent: Tuesday, September 11, 2012 4:58 AM
> Subject: Re: [R] Summarizing data containing data/time information (as
> factor)
>
>
> Hi Arun
>
> I've been out for a conference these days so sorry for getting back
late.
>
> Just wanted to say THANK YOU SO MUCH for your patient explanation. I'll
> have a good look and learn those conventions before sending next question
> to R help.
>
> Also thanks VERY much for the R code hints! Really helpful!
>
> Have a good day!
> Cheers
> HJ
>
> On Thu, Sep 6, 2012 at 4:41 PM, arun <smartpink111 at yahoo.com>
wrote:
>
> HI HJ,
> >No problem.
> >
> >
> >The gsub() was used to just format your date column to make almost the
> way you wanted the results:
> >dat2$date
> ># [1] "2012-04-29" "2012-04-30"
"2012-05-01" "2012-04-28" "2012-04-29"
> > #[6] "2012-04-30" "2012-05-01"
"2012-05-02" "2012-04-30" "2012-05-01"
> >
> >
> >
> >
> >gsub(".*-(.*)-(.*)","\\2/\\1",dat2$date)
> > #[1] "29/04" "30/04" "01/05"
"28/04" "29/04" "30/04" "01/05"
"02/05"
> "30/04"
> >#[10] "01/05"
> >
> >
> >#Suppose I just reverse the contents inside the second " ".
> >gsub(".*-(.*)-(.*)","\\1/\\2",dat2$date)
> > #[1] "04/29" "04/30" "05/01"
"04/28" "04/29" "04/30" "05/01"
"05/02"
> "04/30"
> >#[10] "05/01"
> >#From the p.s., I guess you understand the difference.
> >
> >#The contents inside the first " " are the pattern we match,
and the
> second " " are the replacement.
> >
> >#Now, the ".*-(.*)-(.*)" -first .* will match all the
contents before "-"
> in dat2$date.  I used brackets (.*) for the second and third so that it
> could be select those specifically and use it #as replacement \\1 and \\2
> inside the second " ".
> >
> >
> >#If you want to learn regular expressions, there are a lot of resources
> on the net.
> >#For example:
> >http://www.regular-expressions.info/
> >http://gnosis.cx/publish/programming/regular_expressions.html
> >
> >
> >A.K.
> >
> >________________________________
> >From: HJ YAN <yhj204 at googlemail.com>
> >To: arun <smartpink111 at yahoo.com>
> >Sent: Thursday, September 6, 2012 10:49 AM
> >
> >Subject: Re: [R] Summarizing data containing data/time information (as
> factor)
> >
> >
> >Wow! Thanks so much Arun!!
> >
> >I like this piece of code very much,  especially using
'aggregate()' to
> solve my problem.  Marvellous!
> >
> >The code does what I wanted perfectly.  May I just ask how the  gsub()
> bit works, e.g. now I understand it replace the pattern in the first part,
> and `(.*)` groups everything between the two '-' in my date/time
data, but
> I did not get how the second part works (e.g. '\\2/\\1')??  I think
this
> gsub() and grep() are very useful for coding, so if there is a good source
> (better than using help(grub))  to learn them that can be recommended that
> would be very much grateful.
> >
> >Massive thanks again!
> >
> >p.s. I just learned using as.Date and mended the following code to make
> the table in Chronological order as I originally wanted,
> >e.g.  ' 28/04  29/04  30/04  01/05 02/05'  rather than 
'01/05 02/05
> 28/04 29/04 30/04'
> >
>
>
>dat2$date1<-as.Date(gsub(".*-(.*)-(.*)","\\2/\\1",dat2$date),format="%d/%m")
> >
> >HJ
> >
> >
> >
> >On Thu, Sep 6, 2012 at 1:40 PM, arun <smartpink111 at yahoo.com>
wrote:
> >
> >Hi,
> >>May be this is what you wanted:
> >>I named your dput() data as dat1.
> >> source("HuYan.txt")
> >>head(dat1)
> >>dat1$date<- as.Date(dat1$V2,format="%d/%m/%Y %H:%M")
> >>dat2<-aggregate(V3~date+V1,data=dat1,mean)
>
>>dat2$date1<-gsub(".*-(.*)-(.*)","\\2/\\1",dat2$date)
> >> dat2$V3<-1
> >> xtabs(V3~V1+date1,data=dat2)
> >>        date1
> >>V1       01/05 02/05 28/04 29/04 30/04
> >>
> >>  532703     1     0     0     1     1
> >>
> >>  532704     1     1     1     1     1
> >>  532705     1     0     0     0     1
> >>A.K.
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>________________________________
> >>From: HJ YAN <yhj204 at googlemail.com>
> >>To: arun <smartpink111 at yahoo.com>
> >>Cc: r-help at r-project.org; dwinsemius at comcast.net
> >>Sent: Thursday, September 6, 2012 5:02 AM
> >>Subject: Re: [R] Summarizing data containing data/time information
(as
> factor)
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>Hi Arun and David
> >>
> >>
> >>Thanks a lot for your reply and sorry for sending the csv file. 
(p.s. I
> can download my csv file from the email I sent, so I'm not sure why
this
> doesn`t work for other users...)
> >>
> >>
> >>Anyway, below I used dput()  and I am attaching the output from R:
> >>
> >>
> >>structure(list(V1 = c(532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
> >>532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L,
> >>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
> >>532705L, 532705L, 532705L, 532705L), V2 = structure(c(258L, 259L,
> >>260L, 261L, 262L, 263L, 264L, 265L, 266L, 267L, 268L, 269L, 270L,
> >>271L, 272L, 273L, 274L, 275L, 276L, 277L, 278L, 279L, 280L, 281L,
> >>282L, 283L, 284L, 285L, 286L, 287L, 288L, 289L, 290L, 291L, 292L,
> >>293L, 294L, 295L, 296L, 297L, 298L, 299L, 300L, 301L, 302L, 303L,
> >>304L, 305L, 306L, 307L, 308L, 309L, 310L, 311L, 312L, 313L, 314L,
> >>315L, 316L, 317L, 318L, 319L, 320L, 321L, 322L, 323L, 324L, 325L,
> >>326L, 327L, 328L, 329L, 330L, 331L, 332L, 333L, 334L, 335L, 336L,
> >>337L, 338L, 339L, 340L, 341L, 342L, 343L, 344L, 345L, 346L, 347L,
> >>348L, 349L, 350L, 351L, 352L, 353L, 354L, 355L, 356L, 357L, 358L,
> >>359L, 360L, 361L, 362L, 363L, 364L, 365L, 366L, 367L, 368L, 369L,
> >>370L, 371L, 372L, 373L, 374L, 375L, 376L, 377L, 378L, 379L, 380L,
> >>381L, 382L, 383L, 384L, 385L, 386L, 387L, 388L, 389L, 390L, 391L,
> >>392L, 393L, 394L, 395L, 396L, 397L, 398L, 399L, 400L, 401L, 402L,
> >>403L, 404L, 405L, 406L, 407L, 408L, 409L, 410L, 411L, 412L, 413L,
> >>414L, 415L, 416L, 417L, 418L, 419L, 420L, 421L, 422L, 423L, 424L,
> >>425L, 426L, 427L, 428L, 429L, 430L, 431L, 432L, 433L, 434L, 435L,
> >>436L, 437L, 438L, 439L, 440L, 441L, 442L, 443L, 444L, 445L, 446L,
> >>447L, 448L, 449L, 450L, 451L, 452L, 453L, 454L, 455L, 456L, 457L,
> >>458L, 459L, 460L, 461L, 462L, 463L, 464L, 465L, 466L, 467L, 468L,
> >>469L, 470L, 471L, 472L, 473L, 474L, 475L, 476L, 477L, 478L, 479L,
> >>480L, 481L, 482L, 483L, 484L, 485L, 486L, 487L, 488L, 489L, 490L,
> >>1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,
> >>15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L,
> >>28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L,
> >>41L, 42L, 43L, 44L, 194L, 195L, 196L, 197L, 198L, 199L, 200L,
> >>201L, 202L, 203L, 204L, 205L, 206L, 207L, 208L, 209L, 210L, 211L,
> >>212L, 213L, 214L, 215L, 216L, 217L, 218L, 219L, 220L, 221L, 222L,
> >>223L, 224L, 225L, 226L, 227L, 228L, 229L, 230L, 231L, 232L, 233L,
> >>234L, 235L, 236L, 237L, 238L, 239L, 240L, 241L, 242L, 243L, 244L,
> >>245L, 246L, 247L, 248L, 249L, 250L, 251L, 252L, 253L, 254L, 255L,
> >>256L, 257L, 258L, 259L, 260L, 261L, 262L, 263L, 264L, 265L, 266L,
> >>267L, 268L, 269L, 270L, 271L, 272L, 273L, 274L, 275L, 276L, 277L,
> >>278L, 279L, 280L, 281L, 282L, 283L, 284L, 285L, 286L, 287L, 288L,
> >>289L, 290L, 291L, 292L, 293L, 294L, 295L, 296L, 297L, 298L, 299L,
> >>300L, 301L, 302L, 303L, 304L, 305L, 306L, 307L, 308L, 309L, 310L,
> >>311L, 312L, 313L, 314L, 315L, 316L, 317L, 318L, 319L, 320L, 321L,
> >>322L, 323L, 324L, 325L, 326L, 327L, 328L, 329L, 330L, 331L, 332L,
> >>333L, 334L, 335L, 336L, 337L, 338L, 339L, 340L, 341L, 342L, 343L,
> >>344L, 345L, 346L, 347L, 348L, 349L, 350L, 351L, 352L, 353L, 354L,
> >>355L, 356L, 357L, 358L, 359L, 360L, 361L, 362L, 363L, 364L, 365L,
> >>366L, 367L, 368L, 369L, 370L, 371L, 372L, 373L, 374L, 375L, 376L,
> >>377L, 378L, 379L, 380L, 381L, 382L, 383L, 384L, 385L, 386L, 387L,
> >>388L, 389L, 390L, 391L, 392L, 393L, 394L, 395L, 396L, 397L, 398L,
> >>399L, 400L, 401L, 402L, 403L, 404L, 405L, 406L, 407L, 408L, 409L,
> >>410L, 411L, 412L, 413L, 414L, 415L, 416L, 417L, 418L, 419L, 420L,
> >>421L, 422L, 423L, 424L, 425L, 426L, 427L, 428L, 429L, 430L, 431L,
> >>432L, 433L, 434L, 435L, 436L, 437L, 438L, 439L, 440L, 441L, 442L,
> >>443L, 444L, 445L, 446L, 447L, 448L, 449L, 450L, 451L, 452L, 453L,
> >>454L, 455L, 456L, 457L, 458L, 459L, 460L, 461L, 462L, 463L, 464L,
> >>465L, 466L, 467L, 468L, 469L, 470L, 471L, 472L, 473L, 474L, 475L,
> >>476L, 477L, 478L, 479L, 480L, 481L, 482L, 483L, 484L, 485L, 486L,
> >>487L, 488L, 489L, 490L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,
> >>11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L,
> >>24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L,
> >>37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L,
> >>50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L,
> >>63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L,
> >>76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L,
> >>89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L,
> >>101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L,
> >>112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 122L,
> >>123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 132L, 133L,
> >>134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L,
> >>145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L,
> >>156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L,
> >>167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L, 175L, 176L, 177L,
> >>178L, 179L, 180L, 181L, 182L, 183L, 184L, 185L, 186L, 187L, 188L,
> >>189L, 190L, 191L, 192L, 193L, 471L, 472L, 473L, 474L, 475L, 476L,
> >>477L, 478L, 479L, 480L, 481L, 482L, 483L, 484L, 485L, 486L, 487L,
> >>488L, 489L, 490L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
> >>12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L,
> >>25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L,
> >>38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L,
> >>51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L,
> >>64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L,
> >>77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L,
> >>90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L,
> >>102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L,
> >>113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 122L, 123L,
> >>124L, 125L), .Label = c("01/05/2012 00:00",
"01/05/2012 00:10",
> >>"01/05/2012 00:20", "01/05/2012 00:30",
"01/05/2012 00:40", "01/05/2012
> 00:50",
> >>"01/05/2012 01:00", "01/05/2012 01:10",
"01/05/2012 01:20", "01/05/2012
> 01:30",
> >>"01/05/2012 01:40", "01/05/2012 01:50",
"01/05/2012 02:00", "01/05/2012
> 02:10",
> >>"01/05/2012 02:20", "01/05/2012 02:30",
"01/05/2012 02:40", "01/05/2012
> 02:50",
> >>"01/05/2012 03:00", "01/05/2012 03:10",
"01/05/2012 03:20", "01/05/2012
> 03:30",
> >>"01/05/2012 03:40", "01/05/2012 03:50",
"01/05/2012 04:00", "01/05/2012
> 04:10",
> >>"01/05/2012 04:20", "01/05/2012 04:30",
"01/05/2012 04:40", "01/05/2012
> 04:50",
> >>"01/05/2012 05:00", "01/05/2012 05:10",
"01/05/2012 05:20", "01/05/2012
> 05:30",
> >>"01/05/2012 05:40", "01/05/2012 05:50",
"01/05/2012 06:00", "01/05/2012
> 06:10",
> >>"01/05/2012 06:20", "01/05/2012 06:30",
"01/05/2012 06:40", "01/05/2012
> 06:50",
> >>"01/05/2012 07:00", "01/05/2012 07:10",
"01/05/2012 07:20", "01/05/2012
> 07:30",
> >>"01/05/2012 07:40", "01/05/2012 07:50",
"01/05/2012 08:00", "01/05/2012
> 08:10",
> >>"01/05/2012 08:20", "01/05/2012 08:30",
"01/05/2012 08:40", "01/05/2012
> 08:50",
> >>"01/05/2012 09:00", "01/05/2012 09:10",
"01/05/2012 09:20", "01/05/2012
> 09:30",
> >>"01/05/2012 09:40", "01/05/2012 09:50",
"01/05/2012 10:00", "01/05/2012
> 10:10",
> >>"01/05/2012 10:20", "01/05/2012 10:30",
"01/05/2012 10:40", "01/05/2012
> 10:50",
> >>"01/05/2012 11:00", "01/05/2012 11:10",
"01/05/2012 11:20", "01/05/2012
> 11:30",
> >>"01/05/2012 11:40", "01/05/2012 11:50",
"01/05/2012 12:00", "01/05/2012
> 12:10",
> >>"01/05/2012 12:20", "01/05/2012 12:30",
"01/05/2012 12:40", "01/05/2012
> 12:50",
> >>"01/05/2012 13:00", "01/05/2012 13:10",
"01/05/2012 13:20", "01/05/2012
> 13:30",
> >>"01/05/2012 13:40", "01/05/2012 13:50",
"01/05/2012 14:00", "01/05/2012
> 14:10",
> >>"01/05/2012 14:20", "01/05/2012 14:30",
"01/05/2012 14:40", "01/05/2012
> 14:50",
> >>"01/05/2012 15:00", "01/05/2012 15:10",
"01/05/2012 15:20", "01/05/2012
> 15:30",
> >>"01/05/2012 15:40", "01/05/2012 15:50",
"01/05/2012 16:00", "01/05/2012
> 16:10",
> >>"01/05/2012 16:20", "01/05/2012 16:30",
"01/05/2012 16:40", "01/05/2012
> 16:50",
> >>"01/05/2012 17:00", "01/05/2012 17:10",
"01/05/2012 17:20", "01/05/2012
> 17:30",
> >>"01/05/2012 17:40", "01/05/2012 17:50",
"01/05/2012 18:00", "01/05/2012
> 18:10",
> >>"01/05/2012 18:20", "01/05/2012 18:30",
"01/05/2012 18:40", "01/05/2012
> 18:50",
> >>"01/05/2012 19:00", "01/05/2012 19:10",
"01/05/2012 19:20", "01/05/2012
> 19:30",
> >>"01/05/2012 19:40", "01/05/2012 19:50",
"01/05/2012 20:00", "01/05/2012
> 20:10",
> >>"01/05/2012 20:20", "01/05/2012 20:30",
"01/05/2012 20:40", "01/05/2012
> 20:50",
> >>"01/05/2012 21:00", "01/05/2012 21:10",
"01/05/2012 21:20", "01/05/2012
> 21:30",
> >>"01/05/2012 21:40", "01/05/2012 21:50",
"01/05/2012 22:00", "01/05/2012
> 22:10",
> >>"01/05/2012 22:20", "01/05/2012 22:30",
"01/05/2012 22:40", "01/05/2012
> 22:50",
> >>"01/05/2012 23:00", "01/05/2012 23:10",
"01/05/2012 23:20", "01/05/2012
> 23:30",
> >>"01/05/2012 23:40", "01/05/2012 23:50",
"02/05/2012 00:00", "02/05/2012
> 00:10",
> >>"02/05/2012 00:20", "02/05/2012 00:30",
"02/05/2012 00:40", "02/05/2012
> 00:50",
> >>"02/05/2012 01:00", "02/05/2012 01:10",
"02/05/2012 01:20", "02/05/2012
> 01:30",
> >>"02/05/2012 01:40", "02/05/2012 01:50",
"02/05/2012 02:00", "02/05/2012
> 02:10",
> >>"02/05/2012 02:20", "02/05/2012 02:30",
"02/05/2012 02:40", "02/05/2012
> 02:50",
> >>"02/05/2012 03:00", "02/05/2012 03:10",
"02/05/2012 03:20", "02/05/2012
> 03:30",
> >>"02/05/2012 03:40", "02/05/2012 03:50",
"02/05/2012 04:00", "02/05/2012
> 04:10",
> >>"02/05/2012 04:20", "02/05/2012 04:30",
"02/05/2012 04:40", "02/05/2012
> 04:50",
> >>"02/05/2012 05:00", "02/05/2012 05:10",
"02/05/2012 05:20", "02/05/2012
> 05:30",
> >>"02/05/2012 05:40", "02/05/2012 05:50",
"02/05/2012 06:00", "02/05/2012
> 06:10",
> >>"02/05/2012 06:20", "02/05/2012 06:30",
"02/05/2012 06:40", "02/05/2012
> 06:50",
> >>"02/05/2012 07:00", "02/05/2012 07:10",
"02/05/2012 07:20", "02/05/2012
> 07:30",
> >>"02/05/2012 07:40", "02/05/2012 07:50",
"02/05/2012 08:00", "28/04/2012
> 22:30",
> >>"28/04/2012 22:40", "28/04/2012 22:50",
"28/04/2012 23:00", "28/04/2012
> 23:10",
> >>"28/04/2012 23:20", "28/04/2012 23:30",
"28/04/2012 23:40", "28/04/2012
> 23:50",
> >>"29/04/2012 00:00", "29/04/2012 00:10",
"29/04/2012 00:20", "29/04/2012
> 00:30",
> >>"29/04/2012 00:40", "29/04/2012 00:50",
"29/04/2012 01:00", "29/04/2012
> 01:10",
> >>"29/04/2012 01:20", "29/04/2012 01:30",
"29/04/2012 01:40", "29/04/2012
> 01:50",
> >>"29/04/2012 02:00", "29/04/2012 02:10",
"29/04/2012 02:20", "29/04/2012
> 02:30",
> >>"29/04/2012 02:40", "29/04/2012 02:50",
"29/04/2012 03:00", "29/04/2012
> 03:10",
> >>"29/04/2012 03:20", "29/04/2012 03:30",
"29/04/2012 03:40", "29/04/2012
> 03:50",
> >>"29/04/2012 04:00", "29/04/2012 04:10",
"29/04/2012 04:20", "29/04/2012
> 04:30",
> >>"29/04/2012 04:40", "29/04/2012 04:50",
"29/04/2012 05:00", "29/04/2012
> 05:10",
> >>"29/04/2012 05:20", "29/04/2012 05:30",
"29/04/2012 05:40", "29/04/2012
> 05:50",
> >>"29/04/2012 06:00", "29/04/2012 06:10",
"29/04/2012 06:20", "29/04/2012
> 06:30",
> >>"29/04/2012 06:40", "29/04/2012 06:50",
"29/04/2012 07:00", "29/04/2012
> 07:10",
> >>"29/04/2012 07:20", "29/04/2012 07:30",
"29/04/2012 07:40", "29/04/2012
> 07:50",
> >>"29/04/2012 08:00", "29/04/2012 08:10",
"29/04/2012 08:20", "29/04/2012
> 08:30",
> >>"29/04/2012 08:40", "29/04/2012 08:50",
"29/04/2012 09:00", "29/04/2012
> 09:10",
> >>"29/04/2012 09:20", "29/04/2012 09:30",
"29/04/2012 09:40", "29/04/2012
> 09:50",
> >>"29/04/2012 10:00", "29/04/2012 10:10",
"29/04/2012 10:20", "29/04/2012
> 10:30",
> >>"29/04/2012 10:40", "29/04/2012 10:50",
"29/04/2012 11:00", "29/04/2012
> 11:10",
> >>"29/04/2012 11:20", "29/04/2012 11:30",
"29/04/2012 11:40", "29/04/2012
> 11:50",
> >>"29/04/2012 12:00", "29/04/2012 12:10",
"29/04/2012 12:20", "29/04/2012
> 12:30",
> >>"29/04/2012 12:40", "29/04/2012 12:50",
"29/04/2012 13:00", "29/04/2012
> 13:10",
> >>"29/04/2012 13:20", "29/04/2012 13:30",
"29/04/2012 13:40", "29/04/2012
> 13:50",
> >>"29/04/2012 14:00", "29/04/2012 14:10",
"29/04/2012 14:20", "29/04/2012
> 14:30",
> >>"29/04/2012 14:40", "29/04/2012 14:50",
"29/04/2012 15:00", "29/04/2012
> 15:10",
> >>"29/04/2012 15:20", "29/04/2012 15:30",
"29/04/2012 15:40", "29/04/2012
> 15:50",
> >>"29/04/2012 16:00", "29/04/2012 16:10",
"29/04/2012 16:20", "29/04/2012
> 16:30",
> >>"29/04/2012 16:40", "29/04/2012 16:50",
"29/04/2012 17:00", "29/04/2012
> 17:10",
> >>"29/04/2012 17:20", "29/04/2012 17:30",
"29/04/2012 17:40", "29/04/2012
> 17:50",
> >>"29/04/2012 18:00", "29/04/2012 18:10",
"29/04/2012 18:20", "29/04/2012
> 18:30",
> >>"29/04/2012 18:40", "29/04/2012 18:50",
"29/04/2012 19:00", "29/04/2012
> 19:10",
> >>"29/04/2012 19:20", "29/04/2012 19:30",
"29/04/2012 19:40", "29/04/2012
> 19:50",
> >>"29/04/2012 20:00", "29/04/2012 20:10",
"29/04/2012 20:20", "29/04/2012
> 20:30",
> >>"29/04/2012 20:40", "29/04/2012 20:50",
"29/04/2012 21:00", "29/04/2012
> 21:10",
> >>"29/04/2012 21:20", "29/04/2012 21:30",
"29/04/2012 21:40", "29/04/2012
> 21:50",
> >>"29/04/2012 22:00", "29/04/2012 22:10",
"29/04/2012 22:20", "29/04/2012
> 22:30",
> >>"29/04/2012 22:40", "29/04/2012 22:50",
"29/04/2012 23:00", "29/04/2012
> 23:10",
> >>"29/04/2012 23:20", "29/04/2012 23:30",
"29/04/2012 23:40", "29/04/2012
> 23:50",
> >>"30/04/2012 00:00", "30/04/2012 00:10",
"30/04/2012 00:20", "30/04/2012
> 00:30",
> >>"30/04/2012 00:40", "30/04/2012 00:50",
"30/04/2012 01:00", "30/04/2012
> 01:10",
> >>"30/04/2012 01:20", "30/04/2012 01:30",
"30/04/2012 01:40", "30/04/2012
> 01:50",
> >>"30/04/2012 02:00", "30/04/2012 02:10",
"30/04/2012 02:20", "30/04/2012
> 02:30",
> >>"30/04/2012 02:40", "30/04/2012 02:50",
"30/04/2012 03:00", "30/04/2012
> 03:10",
> >>"30/04/2012 03:20", "30/04/2012 03:30",
"30/04/2012 03:40", "30/04/2012
> 03:50",
> >>"30/04/2012 04:00", "30/04/2012 04:10",
"30/04/2012 04:20", "30/04/2012
> 04:30",
> >>"30/04/2012 04:40", "30/04/2012 04:50",
"30/04/2012 05:00", "30/04/2012
> 05:10",
> >>"30/04/2012 05:20", "30/04/2012 05:30",
"30/04/2012 05:40", "30/04/2012
> 05:50",
> >>"30/04/2012 06:00", "30/04/2012 06:10",
"30/04/2012 06:20", "30/04/2012
> 06:30",
> >>"30/04/2012 06:40", "30/04/2012 06:50",
"30/04/2012 07:00", "30/04/2012
> 07:10",
> >>"30/04/2012 07:20", "30/04/2012 07:30",
"30/04/2012 07:40", "30/04/2012
> 07:50",
> >>"30/04/2012 08:00", "30/04/2012 08:10",
"30/04/2012 08:20", "30/04/2012
> 08:30",
> >>"30/04/2012 08:40", "30/04/2012 08:50",
"30/04/2012 09:00", "30/04/2012
> 09:10",
> >>"30/04/2012 09:20", "30/04/2012 09:30",
"30/04/2012 09:40", "30/04/2012
> 09:50",
> >>"30/04/2012 10:00", "30/04/2012 10:10",
"30/04/2012 10:20", "30/04/2012
> 10:30",
> >>"30/04/2012 10:40", "30/04/2012 10:50",
"30/04/2012 11:00", "30/04/2012
> 11:10",
> >>"30/04/2012 11:20", "30/04/2012 11:30",
"30/04/2012 11:40", "30/04/2012
> 11:50",
> >>"30/04/2012 12:00", "30/04/2012 12:10",
"30/04/2012 12:20", "30/04/2012
> 12:30",
> >>"30/04/2012 12:40", "30/04/2012 12:50",
"30/04/2012 13:00", "30/04/2012
> 13:10",
> >>"30/04/2012 13:20", "30/04/2012 13:30",
"30/04/2012 13:40", "30/04/2012
> 13:50",
> >>"30/04/2012 14:00", "30/04/2012 14:10",
"30/04/2012 14:20", "30/04/2012
> 14:30",
> >>"30/04/2012 14:40", "30/04/2012 14:50",
"30/04/2012 15:00", "30/04/2012
> 15:10",
> >>"30/04/2012 15:20", "30/04/2012 15:30",
"30/04/2012 15:40", "30/04/2012
> 15:50",
> >>"30/04/2012 16:00", "30/04/2012 16:10",
"30/04/2012 16:20", "30/04/2012
> 16:30",
> >>"30/04/2012 16:40", "30/04/2012 16:50",
"30/04/2012 17:00", "30/04/2012
> 17:10",
> >>"30/04/2012 17:20", "30/04/2012 17:30",
"30/04/2012 17:40", "30/04/2012
> 17:50",
> >>"30/04/2012 18:00", "30/04/2012 18:10",
"30/04/2012 18:20", "30/04/2012
> 18:30",
> >>"30/04/2012 18:40", "30/04/2012 18:50",
"30/04/2012 19:00", "30/04/2012
> 19:10",
> >>"30/04/2012 19:20", "30/04/2012 19:30",
"30/04/2012 19:40", "30/04/2012
> 19:50",
> >>"30/04/2012 20:00", "30/04/2012 20:10",
"30/04/2012 20:20", "30/04/2012
> 20:30",
> >>"30/04/2012 20:40", "30/04/2012 20:50",
"30/04/2012 21:00", "30/04/2012
> 21:10",
> >>"30/04/2012 21:20", "30/04/2012 21:30",
"30/04/2012 21:40", "30/04/2012
> 21:50",
> >>"30/04/2012 22:00", "30/04/2012 22:10",
"30/04/2012 22:20", "30/04/2012
> 22:30",
> >>"30/04/2012 22:40", "30/04/2012 22:50",
"30/04/2012 23:00", "30/04/2012
> 23:10",
> >>"30/04/2012 23:20", "30/04/2012 23:30",
"30/04/2012 23:40", "30/04/2012
> 23:50"
> >>), class = "factor"), V3 = c(0.03, 0.04, 0.04, 0.04,
0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03,
> >>0.04, 0.04, 0.04, 0.03, 0.03, 0.03, 0.03, 0.03, 0.04, 0.03, 0.03,
> >>0.03, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.03, 0.03,
> >>0.03, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.03, 0.03, 0.04,
> >>0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.04, 0.03, 0.04, 0.03,
> >>0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04,
> >>0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.03, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.03,
> >>0.04, 0.04, 0.03, 0.04, 0.03, 0.04, 0.04, 0.03, 0.03, 0.04, 0.04,
> >>0.04, 0.04, 0.03, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.03, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.03, 0.03, 0.03, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04,
> >>0.04, 0.03, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.03, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.03, 0.03, 0.04, 0.04, 0.03, 0.04, 0.04, 0.03, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.03, 0.03,
> >>0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.03,
> >>0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
> >>0.04, 0.04, 0.04, 0.04)), .Names = c("V1",
"V2", "V3"), class > "data.frame", row.names =
c(NA,
> >>-912L))
> >>
> >>
> >>Let make my question clearer:
> >>
> >>I want to make summary of the data above into a table as below to
show
> the days that there are any data available, e.g.value=1 if
> >>there are any data available for that day, otherwise value=0. There
are
> three id in my data: 532703, 532704 and 532705. data are collected at 10
> minutes interval each day (e.g. 144 observations for a day if no missing
> data).
> >>
> >>
> >>              28/04     29/04    30/04    01/05   02/05
> >>532703     0              1         1           1        0
> >>532704     1              1         1           1        1
> >>532705     0              0         1           1        0
> >>
> >>
> >>
> >>Sorry for the confusion to David, and hope this is clear now.
> >>
> >>Many thanks again.
> >>
> >>Best wishes,
> >>
> >>HJ
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>On Thu, Sep 6, 2012 at 2:08 AM, arun <smartpink111 at
yahoo.com> wrote:
> >>
> >>Hi,
> >>>
> >>>I couldn't find any attached data.  Could you dput() the
data?
> >>>A.K.
> >>>
> >>>
> >>>
> >>>
> >>>----- Original Message -----
> >>>From: HJ YAN <yhj204 at googlemail.com>
> >>>To: r-help at r-project.org
> >>>Cc:
> >>>Sent: Wednesday, September 5, 2012 7:57 PM
> >>>Subject: [R] Summarizing data containing data/time information
(as
> factor)
> >>>
> >>>Dear R user
> >>>
> >>>I want to create a table (as below) to summarize the attached
data
> >>>(Test.csv, which can be read into R by using
'read.csv(Test.csv,
> header=F)'
> >>>), to indicate the day that there are any data available,
e.g.value=1 if
> >>>there are any data available for that day, otherwise value=0.
> >>>
> >>>
> >>>              28/04     29/04    30/04    01/05   02/05
> >>>532703     0              1         1           1        0
> >>>532704     1              1         1           1        1
> >>>532705     0              0         1           1        0
> >>>
> >>>Only Column A (Names: automatically stored as integer if being
read
> into R)
> >>>and Column B (date/time: automatically stored as factor if
being read
> into
> >>>R) are useful for this task.
> >>>
> >>>Could anyone kindly provide me some hints/ideas about how to
write some
> >>>code to to this job please?
> >>>
> >>>
> >>>Many thanks in advance!
> >>>
> >>>Best wishes
> >>>HJ
> >>>
> >>>______________________________________________
> >>>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.
> >>>
> >>>
> >>
> >
>-------------- next part --------------
structure(list(V1 = c(532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 
532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 
532705L, 532705L, 532705L, 532705L), V2 = structure(c(258L, 259L, 
260L, 261L, 262L, 263L, 264L, 265L, 266L, 267L, 268L, 269L, 270L, 
271L, 272L, 273L, 274L, 275L, 276L, 277L, 278L, 279L, 280L, 281L, 
282L, 283L, 284L, 285L, 286L, 287L, 288L, 289L, 290L, 291L, 292L, 
293L, 294L, 295L, 296L, 297L, 298L, 299L, 300L, 301L, 302L, 303L, 
304L, 305L, 306L, 307L, 308L, 309L, 310L, 311L, 312L, 313L, 314L, 
315L, 316L, 317L, 318L, 319L, 320L, 321L, 322L, 323L, 324L, 325L, 
326L, 327L, 328L, 329L, 330L, 331L, 332L, 333L, 334L, 335L, 336L, 
337L, 338L, 339L, 340L, 341L, 342L, 343L, 344L, 345L, 346L, 347L, 
348L, 349L, 350L, 351L, 352L, 353L, 354L, 355L, 356L, 357L, 358L, 
359L, 360L, 361L, 362L, 363L, 364L, 365L, 366L, 367L, 368L, 369L, 
370L, 371L, 372L, 373L, 374L, 375L, 376L, 377L, 378L, 379L, 380L, 
381L, 382L, 383L, 384L, 385L, 386L, 387L, 388L, 389L, 390L, 391L, 
392L, 393L, 394L, 395L, 396L, 397L, 398L, 399L, 400L, 401L, 402L, 
403L, 404L, 405L, 406L, 407L, 408L, 409L, 410L, 411L, 412L, 413L, 
414L, 415L, 416L, 417L, 418L, 419L, 420L, 421L, 422L, 423L, 424L, 
425L, 426L, 427L, 428L, 429L, 430L, 431L, 432L, 433L, 434L, 435L, 
436L, 437L, 438L, 439L, 440L, 441L, 442L, 443L, 444L, 445L, 446L, 
447L, 448L, 449L, 450L, 451L, 452L, 453L, 454L, 455L, 456L, 457L, 
458L, 459L, 460L, 461L, 462L, 463L, 464L, 465L, 466L, 467L, 468L, 
469L, 470L, 471L, 472L, 473L, 474L, 475L, 476L, 477L, 478L, 479L, 
480L, 481L, 482L, 483L, 484L, 485L, 486L, 487L, 488L, 489L, 490L, 
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 
15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 
28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 
41L, 42L, 43L, 44L, 194L, 195L, 196L, 197L, 198L, 199L, 200L, 
201L, 202L, 203L, 204L, 205L, 206L, 207L, 208L, 209L, 210L, 211L, 
212L, 213L, 214L, 215L, 216L, 217L, 218L, 219L, 220L, 221L, 222L, 
223L, 224L, 225L, 226L, 227L, 228L, 229L, 230L, 231L, 232L, 233L, 
234L, 235L, 236L, 237L, 238L, 239L, 240L, 241L, 242L, 243L, 244L, 
245L, 246L, 247L, 248L, 249L, 250L, 251L, 252L, 253L, 254L, 255L, 
256L, 257L, 258L, 259L, 260L, 261L, 262L, 263L, 264L, 265L, 266L, 
267L, 268L, 269L, 270L, 271L, 272L, 273L, 274L, 275L, 276L, 277L, 
278L, 279L, 280L, 281L, 282L, 283L, 284L, 285L, 286L, 287L, 288L, 
289L, 290L, 291L, 292L, 293L, 294L, 295L, 296L, 297L, 298L, 299L, 
300L, 301L, 302L, 303L, 304L, 305L, 306L, 307L, 308L, 309L, 310L, 
311L, 312L, 313L, 314L, 315L, 316L, 317L, 318L, 319L, 320L, 321L, 
322L, 323L, 324L, 325L, 326L, 327L, 328L, 329L, 330L, 331L, 332L, 
333L, 334L, 335L, 336L, 337L, 338L, 339L, 340L, 341L, 342L, 343L, 
344L, 345L, 346L, 347L, 348L, 349L, 350L, 351L, 352L, 353L, 354L, 
355L, 356L, 357L, 358L, 359L, 360L, 361L, 362L, 363L, 364L, 365L, 
366L, 367L, 368L, 369L, 370L, 371L, 372L, 373L, 374L, 375L, 376L, 
377L, 378L, 379L, 380L, 381L, 382L, 383L, 384L, 385L, 386L, 387L, 
388L, 389L, 390L, 391L, 392L, 393L, 394L, 395L, 396L, 397L, 398L, 
399L, 400L, 401L, 402L, 403L, 404L, 405L, 406L, 407L, 408L, 409L, 
410L, 411L, 412L, 413L, 414L, 415L, 416L, 417L, 418L, 419L, 420L, 
421L, 422L, 423L, 424L, 425L, 426L, 427L, 428L, 429L, 430L, 431L, 
432L, 433L, 434L, 435L, 436L, 437L, 438L, 439L, 440L, 441L, 442L, 
443L, 444L, 445L, 446L, 447L, 448L, 449L, 450L, 451L, 452L, 453L, 
454L, 455L, 456L, 457L, 458L, 459L, 460L, 461L, 462L, 463L, 464L, 
465L, 466L, 467L, 468L, 469L, 470L, 471L, 472L, 473L, 474L, 475L, 
476L, 477L, 478L, 479L, 480L, 481L, 482L, 483L, 484L, 485L, 486L, 
487L, 488L, 489L, 490L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 
11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 
24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 
37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 
50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 
63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 
76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 
89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 
101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 
112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 122L, 
123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 
134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L, 
145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L, 
156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 
167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L, 175L, 176L, 177L, 
178L, 179L, 180L, 181L, 182L, 183L, 184L, 185L, 186L, 187L, 188L, 
189L, 190L, 191L, 192L, 193L, 471L, 472L, 473L, 474L, 475L, 476L, 
477L, 478L, 479L, 480L, 481L, 482L, 483L, 484L, 485L, 486L, 487L, 
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