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

arun smartpink111 at yahoo.com
Thu Sep 6 17:41:25 CEST 2012


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, 
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>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
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>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
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>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 532704L, 
>532704L, 532704L, 532704L, 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, 
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>381L, 382L, 383L, 384L, 385L, 386L, 387L, 388L, 389L, 390L, 391L, 
>392L, 393L, 394L, 395L, 396L, 397L, 398L, 399L, 400L, 401L, 402L, 
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>425L, 426L, 427L, 428L, 429L, 430L, 431L, 432L, 433L, 434L, 435L, 
>436L, 437L, 438L, 439L, 440L, 441L, 442L, 443L, 444L, 445L, 446L, 
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>487L, 488L, 489L, 490L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 
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>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, 
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>156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 
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>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 
>0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 
>0.04, 0.04, 0.04, 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
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>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.
>>
>>
>




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