我正在尝试在R dygraphs中绘制以下时间序列data.frame。
str(data.frame)
'data.frame': 1440 obs. of 2 variables:
$ Tm : POSIXct, format: "2015-12-08 08:00:00" "2015-12-08 08:01:00" "2015-12-08 08:02:00" "2015-12-08 08:03:00" ...
$ ydata: num 84.2 84.2 84.3 84.6 84.4 ...
下面提到了一个样本数据表。
445 2015-12-08 15:24:00 91.984
446 2015-12-08 15:25:00 92.330
447 2015-12-08 15:26:00 91.982
448 2015-12-08 15:27:00 92.022
449 2015-12-08 15:28:00 91.829
450 2015-12-08 15:29:00 91.984
451 2015-12-08 15:30:00 91.638
452 2015-12-08 15:31:00 91.443
453 2015-12-08 15:32:00 91.368
454 2015-12-08 15:33:00 91.637
455 2015-12-08 15:34:00 91.405
456 2015-12-08 15:35:00 91.478
457 2015-12-08 15:36:00 91.367
458 2015-12-08 15:37:00 91.328
459 2015-12-08 15:38:00 90.595
460 2015-12-08 15:39:00 90.285
461 2015-12-08 15:40:00 90.326
462 2015-12-08 15:41:00 90.364
463 2015-12-08 15:42:00 90.365
464 2015-12-08 15:43:00 90.673
465 2015-12-08 15:44:00 89.979
466 2015-12-08 15:45:00 90.403
467 2015-12-08 15:46:00 90.481
468 2015-12-08 15:47:00 90.326
469 2015-12-08 15:48:00 90.404
470 2015-12-08 15:49:00 90.250
471 2015-12-08 15:50:00 90.365
472 2015-12-08 15:51:00 90.789
473 2015-12-08 15:52:00 90.983
474 2015-12-08 15:53:00 91.253
475 2015-12-08 15:54:00 91.176
476 2015-12-08 15:55:00 91.253
477 2015-12-08 15:56:00 91.445
478 2015-12-08 15:57:00 91.176
479 2015-12-08 15:58:00 91.435
480 2015-12-08 15:59:00 91.368
481 2015-12-08 16:00:00 90.906
482 2015-12-08 16:01:00 91.251
483 2015-12-08 16:02:00 90.944
484 2015-12-08 16:03:00 90.596
485 2015-12-08 16:04:00 91.484
486 2015-12-08 16:05:00 91.368
487 2015-12-08 16:06:00 91.483
488 2015-12-08 16:07:00 91.330
489 2015-12-08 16:08:00 91.522
490 2015-12-08 16:09:00 91.907
491 2015-12-08 16:10:00 91.831
492 2015-12-08 16:11:00 91.598
493 2015-12-08 16:12:00 91.676
494 2015-12-08 16:13:00 91.869
495 2015-12-08 16:14:00 91.945
496 2015-12-08 16:15:00 91.793
497 2015-12-08 16:16:00 92.293
498 2015-12-08 16:17:00 92.754
499 2015-12-08 16:18:00 93.139
500 2015-12-08 16:19:00 93.023
501 2015-12-08 16:20:00 92.946
502 2015-12-08 16:21:00 92.947
503 2015-12-08 16:22:00 93.063
504 2015-12-08 16:23:00 93.178
505 2015-12-08 16:24:00 93.293
506 2015-12-08 16:25:00 93.178
507 2015-12-08 16:26:00 93.101
508 2015-12-08 16:27:00 92.638
509 2015-12-08 16:28:00 92.445
510 2015-12-08 16:29:00 92.987
511 2015-12-08 16:30:00 93.102
512 2015-12-08 16:31:00 93.410
513 2015-12-08 16:32:00 93.293
514 2015-12-08 16:33:00 93.795
515 2015-12-08 16:34:00 93.642
516 2015-12-08 16:35:00 93.564
517 2015-12-08 16:36:00 93.140
518 2015-12-08 16:37:00 93.024
519 2015-12-08 16:38:00 93.064
520 2015-12-08 16:39:00 93.025
521 2015-12-08 16:40:00 92.985
522 2015-12-08 16:41:00 91.677
523 2015-12-08 16:42:00 91.908
524 2015-12-08 16:43:00 92.099
525 2015-12-08 16:44:00 91.984
526 2015-12-08 16:45:00 91.638
527 2015-12-08 16:46:00 91.408
528 2015-12-08 16:47:00 90.789
529 2015-12-08 16:48:00 90.520
530 2015-12-08 16:49:00 91.523
531 2015-12-08 16:50:00 90.790
532 2015-12-08 16:51:00 89.786
533 2015-12-08 16:52:00 89.633
534 2015-12-08 16:53:00 89.518
535 2015-12-08 16:54:00 90.288
536 2015-12-08 16:55:00 90.441
537 2015-12-08 16:56:00 89.864
538 2015-12-08 16:57:00 89.595
539 2015-12-08 16:58:00 89.480
540 2015-12-08 16:59:00 89.632
我可以使用ggplot成功获得输出但是当我尝试使用dygraph时，我收到以下错误。
dygraph(data.frame)
Error in as.POSIXlt.character(x, tz, ...) :
character string is not in a standard unambiguous format
有什么想法吗？
答案 0 :(得分：0)
请参阅下面的代码。但是，一个重要的建议是不要使用内置函数名作为对象名。在运行以下代码之前，还要确保您的Tm列是一个字符，而不是一个因素。
require(xts)
stopifnot(class(dta$Tm) == "character") # make sure it's not a factor!
dta$Tm <- as.POSIXct(dta$Tm, format = "%d/%m/%Y %H:%M:%S")
dta <- xts(dta$ydata, order.by = dta$Tm)
dygraph(dta)