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,
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532703L, 532703L, 532703L, 532703L, 532703L, 532703L, 532703L,
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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,
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532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
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532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
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532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
532705L, 532705L, 532705L, 532705L, 532705L, 532705L, 532705L,
532705L, 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,
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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,
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-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 <smartpink...@yahoo.com> wrote:
> Hi,
>
> I couldn't find any attached data. Could you dput() the data?
> A.K.
>
>
>
> ----- Original Message -----
> From: HJ YAN <yhj...@googlemail.com>
> To: r-help@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@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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