2

这是我的数据框的样子；

                Zaman Operasyon             Paket
1 2013-01-18 21:39:00 installed linux-api-headers
2 2013-01-18 21:39:00 installed            tzdata
3 2013-01-18 21:39:00 installed             glibc
4 2013-01-18 21:39:00 installed           ncurses
5 2013-01-18 21:39:00 installed          readline
6 2013-01-18 21:39:00 installed              bash

Zaman 是一个 POSIXct，其他 2 个列是因子。我想计算每天分组的行数。我试过了，

> aggregate(data,by=list(data$Zaman),FUN=sum)
Error occured: Summary.POSIXct(c(1358537940, 1358537940, 1358537940, 1358537940,  : 
  'sum' not defined for "POSIXt" objects
> aggregate(data,by=list(data$Zaman),FUN=count)
Error occured: match.fun(FUN) : Couldn't find 'count' object

我怎样才能做到这一点？

的输出dput(data)

dput(data)
structure(list(Zaman = structure(c(1358537940, 1358537940, 1358537940, 
1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 
1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 
1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 
1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 
1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 
1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 
1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 
1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 
1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 
1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 1358537940, 
1358537940, 1358537940, 1358537940, 1358538000, 1358538000, 1358538000, 
1358538000, 1358538000, 1358538000, 1358538000, 1358538000, 1358538000, 
1358538000, 1358538000, 1358538000, 1358538000, 1358538000, 1358538000, 
1358538000, 1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 
1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 
1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 
1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 
1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 
1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 
1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 
1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 1358538060, 
1358538720, 1358549220, 1358549580, 1358549580, 1358550240, 1358550240, 
1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 
1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 
1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 
1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 
1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 
1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 
1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 
1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 
1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 
1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 
1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 1358550240, 
1358550300, 1358550300, 1358550300, 1358550300, 1358550300, 1358550300, 
1358550300, 1358550300, 1358550300, 1358550360, 1358550360, 1358550360, 
1358550360, 1358550480, 1358550480, 1358550480, 1358550660, 1358550660, 
1358550660, 1358550660, 1358550660, 1358550660, 1358550660, 1358550660, 
1358550660, 1358550840, 1358551140, 1358551140, 1358551140, 1358551140, 
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1358551140, 1358551140, 1358551140, 1358551140, 1358551140, 1358551140, 
1358551140, 1358551140, 1358551140, 1358551140, 1358551140, 1358551140, 
1358551140, 1358551140, 1358551140, 1358551140, 1358551140, 1358551140, 
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1358551140, 1358551140, 1358551140, 1358551140, 1358551140, 1358551140, 
1358551140, 1358551140, 1358551140, 1358551140, 1358551140, 1358551140, 
1358551140, 1358551200, 1358551200, 1358551200, 1358551200, 1358551200, 
1358551200, 1358551200, 1358551200, 1358551200, 1358551320, 1358551320, 
1358551320, 1358551320, 1358551320, 1358551320, 1358551800, 1358552580, 
1358552580, 1358553300, 1358553300, 1358553300, 1358553300, 1358553300, 
1358553720, 1358553720, 1358554320, 1358554320, 1358554320, 1358554320, 
1358554320, 1358554380, 1358554380, 1358555100, 1358555100, 1358555100, 
1358555280, 1358555280, 1358555280, 1358555460, 1358555460, 1358555460, 
1358555460, 1358555460, 1358555460, 1358555460, 1358555460, 1358555460, 
1358555520, 1358555520, 1358555520, 1358555520, 1358555520, 1358555520, 
1358555520, 1358555520, 1358555520, 1358555520, 1358555520, 1358555520, 
1358555520, 1358555520, 1358555640, 1358556240, 1358556240, 1358556240, 
1358556240, 1358556300, 1358556300, 1358556300, 1358557020, 1358557860, 
1358558280, 1358558280, 1358558280, 1358558280, 1358558280, 1358558280, 
1358558280, 1358558280, 1358558280, 1358558280, 1358558280, 1358558280, 
1358558280, 1358558280, 1358559660, 1358559660, 1358559900, 1358559900, 
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1358708700, 1358708700, 1358708700, 1358708700, 1358708700, 1358708760, 
1358709600, 1358726940, 1358726940, 1358726940, 1358726940, 1358727000, 
1358727000, 1358768340, 1358768340, 1358856660, 1358856660, 1358856660, 
1358856660, 1358856660, 1358856660, 1358856720, 1358856720, 1358856720, 
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1358857260, 1358857260, 1358857260, 1358857260, 1358857260, 1358857260, 
1358857260, 1358857260, 1358857260, 1358857260, 1358857260, 1358857260, 
1358857260, 1358857260, 1358857260, 1358857260, 1358857260, 1358857260, 
1358857260, 1358857260, 1358857260, 1358857260, 1358857260, 1358857260, 
1358857260, 1358857260, 1358857260, 1358857260, 1358857380, 1358857380, 
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1358858460, 1358858520, 1358859780, 1358859840, 1358859840, 1358862600, 
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1358944080, 1358949840, 1358949840, 1358949840, 1358949840, 1358949840, 
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1358949960, 1358949960, 1358949960, 1358949960, 1358949960, 1358949960, 
1358949960, 1358949960, 1358949960, 1358949960, 1358950020, 1358950020, 
1358950020, 1358950020, 1358966040, 1358966040, 1358966040, 1358966040, 
1358966040, 1358966100, 1358966520, 1358966520, 1358966640, 1358966640, 
1358967000, 1358967000, 1358967000, 1358967000, 1358967000, 1358967000, 
1358967000, 1358970720, 1358970720, 1358970720, 1358970720, 1358970720, 
1358970720, 1358970720, 1358970720, 1359120240, 1359120240, 1359120240, 
1359120240, 1359120240, 1359120240, 1359120240, 1359120240, 1359120240, 
1359120420, 1359194820, 1359194820, 1359194820, 1359194820, 1359223080, 
1359223080, 1359223080, 1359223080, 1359223080, 1359223080, 1359223080, 
1359224100), class = c("POSIXct", "POSIXt"), tzone = ""), Operasyon = structure(c(1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 
1L, 1L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
3L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("installed", 
"removed", "upgraded"), class = "factor"), Paket = structure(c(381L, 
563L, 126L, 406L, 506L, 23L, 31L, 108L, 56L, 654L, 50L, 257L, 
330L, 429L, 428L, 17L, 3L, 130L, 227L, 49L, 517L, 51L, 256L, 
250L, 530L, 573L, 77L, 179L, 86L, 57L, 437L, 247L, 125L, 204L, 
209L, 177L, 652L, 547L, 61L, 466L, 52L, 62L, 64L, 70L, 84L, 87L, 
104L, 116L, 143L, 170L, 111L, 438L, 420L, 315L, 271L, 207L, 210L, 
172L, 185L, 190L, 189L, 545L, 191L, 198L, 217L, 379L, 382L, 400L, 
218L, 399L, 380L, 383L, 388L, 554L, 144L, 291L, 391L, 392L, 394L, 
405L, 409L, 528L, 32L, 324L, 53L, 472L, 270L, 220L, 455L, 65L, 
135L, 139L, 427L, 8L, 426L, 435L, 436L, 285L, 336L, 288L, 469L, 
470L, 471L, 511L, 549L, 548L, 551L, 572L, 575L, 586L, 612L, 389L, 
20L, 21L, 24L, 25L, 80L, 91L, 402L, 282L, 193L, 40L, 468L, 106L, 
273L, 331L, 390L, 433L, 457L, 546L, 192L, 588L, 587L, 649L, 354L, 
97L, 248L, 94L, 359L, 289L, 237L, 456L, 348L, 592L, 350L, 205L, 
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641L, 643L, 393L, 645L, 646L, 647L, 88L, 358L, 352L, 648L, 630L, 
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171L, 430L, 48L, 351L, 365L, 533L, 325L, 410L, 424L, 136L, 268L, 
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542L, 356L, 76L, 103L, 161L, 214L, 260L, 412L, 201L, 460L, 531L, 
541L, 47L, 13L, 59L, 12L, 162L, 163L, 60L, 246L, 286L, 555L, 
556L, 562L, 603L, 370L, 343L, 605L, 155L, 423L, 156L, 4L, 36L, 
340L, 287L, 341L, 327L, 157L, 333L, 604L, 458L, 459L, 482L, 292L, 
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611L, 613L, 614L, 413L, 597L, 245L, 520L, 372L, 39L, 544L, 443L, 
120L, 63L, 89L, 321L, 314L, 6L, 401L, 90L, 577L, 378L, 516L, 
386L, 169L, 552L, 557L, 166L, 145L, 122L, 122L, 145L, 166L, 278L, 
500L, 501L, 534L, 496L, 480L, 485L, 478L, 495L, 371L, 67L, 68L, 
10L, 513L, 452L, 448L, 617L, 486L, 492L, 490L, 494L, 487L, 497L, 
121L, 203L, 85L, 568L, 653L, 425L, 9L, 566L, 408L, 590L, 102L, 
228L, 229L, 230L, 294L, 145L, 124L, 322L, 255L, 323L, 565L, 316L, 
168L, 544L, 479L, 481L, 243L, 66L, 215L, 419L, 596L, 95L, 311L, 
176L, 407L, 504L, 505L, 509L, 178L, 30L, 41L, 263L, 422L, 302L, 
175L, 300L, 384L, 301L, 303L, 304L, 305L, 75L, 543L, 16L, 567L, 
510L, 267L, 579L, 536L, 141L, 532L, 499L, 235L, 462L, 11L, 174L, 
72L, 119L, 96L, 128L, 196L, 182L, 416L, 1L, 239L, 236L, 521L, 
523L, 241L, 240L, 269L, 329L, 387L, 242L, 275L, 656L, 550L, 283L, 
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4

5 回答 5

5

你必须表达你想要的日子；这应该可以解决问题：

table(factor(format(data$Zaman,"%D")))
于 2013-01-27T16:39:45.477 回答
3

Use cut，它具有对使用日期的内置支持：

attributes(data$Zaman)$tzone <- "GMT"
table(cut(data$Zaman, "1 day"))
#
# 2013-01-18 2013-01-19 2013-01-20 2013-01-21 2013-01-22 2013-01-23 2013-01-24 2013-01-25 2013-01-26 
#        339        209         20          8         76         56          0         10         12 

table(cut(data$Zaman, "2 days"))
#
# 2013-01-18 2013-01-20 2013-01-22 2013-01-24 2013-01-26 
#        548         28        132         10         12
于 2013-01-27T16:50:42.013 回答
3

对于这些任务，我偏爱 data.table：

library(data.table)
dt <- as.data.table(df)
dt[,days:=format(Zaman,"%d.%m.%Y")]
dt[,.N,by=days]

         days   N
1: 18.01.2013 133
2: 19.01.2013 415
3: 20.01.2013  20
<snip>
于 2013-01-27T16:51:17.810 回答
1

由于没有名为 的函数，您会收到 count 错误count。

但是你可以使用countpackage plyr：

 count(dat, vars = 'Zaman')
                 Zaman freq
1  2013-01-18 20:39:00   66
2  2013-01-18 20:40:00   16
3  2013-01-18 20:41:00   47
4  2013-01-18 20:52:00    1
5  2013-01-18 23:47:00    1
6  2013-01-18 23:53:00    2
7  2013-01-19 00:04:00   68
8  2013-01-19 00:05:00    9
9  2013-01-19 00:06:00    4
10 2013-01-19 00:08:00    3
11 2013-01-19 00:11:00    9
12 2013-01-19 00:14:00    1
13 2013-01-19 00:19:00   89
14 2013-01-19 00:20:00    9
于 2013-01-27T16:44:48.987 回答
0

也许您只是在寻找length功能？

> aggregate(data,by=list(data$zaman),FUN=length)
              Group.1 zaman oper paket
1 2013-01-18 21:39:00     6    6     6
于 2013-01-27T16:45:13.603 回答