このデータセットの時間帯ごとにシリーズボックスプロットを生成するにはどうすればよいですか？

Question

以下のサンプルデータがあれば、一連のボックスプロットを生成したいと思います.1時間に1つは「使用量」列の分布を示しています。 私はこの問題をあまりにも長い間戦ってきました。私は、日時変数をボックスプロットのグループ化として使用できる適切な形式にする正しい構文を理解できません。私はPOSIXctやPOSIXltにいくつかの異なる方法を試しましたが、それを行った後でも、時間単位に分解する方法を理解することはできません。

私はあなたの援助を大変うれしく思います。

例えば

df <- read.table(text="datetime,usage,available 
2016-05-25 10:00:59.000000,12,96 
      2016-05-25 09:00:59.000000,8,96 
      2016-05-25 08:00:59.000000,0,96 
      2016-05-25 07:00:59.000000,0,96 
      2016-05-25 06:00:59.000000,0,96 
      2016-05-25 05:00:59.000000,0,96 
      2016-05-25 04:00:59.000000,0,96 
      2016-05-25 03:00:59.000000,0,96 
      2016-05-25 02:00:59.000000,0,96 
      2016-05-25 01:00:59.000000,0,96 
      2016-05-25 00:00:59.000000,0,96 
      2016-05-24 23:00:59.000000,0,96 
      2016-05-24 22:00:59.000000,0,96 
      2016-05-24 21:00:59.000000,0,96 
      2016-05-24 20:00:59.000000,2,96 
      2016-05-24 19:00:59.000000,0,96 
      2016-05-24 18:00:59.000000,8,96 
      2016-05-24 17:00:59.000000,15,96 
      2016-05-24 16:00:59.000000,20,96 
      2016-05-24 15:00:59.000000,19,96 
      2016-05-24 14:00:59.000000,3,96 
      2016-05-24 13:00:59.000000,6,96 
      2016-05-24 12:00:59.000000,9,96 
      2016-05-24 11:00:59.000000,13,96 
      2016-05-24 10:00:59.000000,16,96 
      2016-05-24 09:00:59.000000,11,96 
      2016-05-24 08:00:59.000000,1,96 
      2016-05-24 07:00:59.000000,5,96 
      2016-05-24 06:00:59.000000,2,96 
      2016-05-24 05:00:59.000000,0,96 
      2016-05-24 04:00:59.000000,0,96 
      2016-05-24 03:00:59.000000,0,96 
      2016-05-24 02:00:59.000000,0,96 
      2016-05-24 01:00:59.000000,0,96 
      2016-05-24 00:00:59.000000,0,96 
      2016-05-23 23:00:59.000000,0,96 
      2016-05-23 22:00:59.000000,0,96 
      2016-05-23 21:00:59.000000,0,96 
      2016-05-23 20:00:59.000000,4,96 
      2016-05-23 19:00:59.000000,0,96 
      2016-05-23 18:00:59.000000,0,96 
      2016-05-23 17:00:59.000000,0,96 
      2016-05-23 16:00:59.000000,3,96 
      2016-05-23 15:00:59.000000,5,96 
      2016-05-23 14:00:59.000000,2,96 
      2016-05-23 13:00:59.000000,18,96 
      2016-05-23 12:00:59.000000,10,96 
      2016-05-23 11:00:59.000000,7,96 
      2016-05-23 10:00:59.000000,9,96 
      2016-05-23 09:00:59.000000,1,96 
      2016-05-23 08:00:59.000000,1,96 
      2016-05-23 07:00:59.000000,1,96 
      2016-05-23 06:00:59.000000,1,96 
      2016-05-23 05:00:59.000000,1,96 
      2016-05-23 04:00:59.000000,1,96 
      2016-05-23 03:00:59.000000,1,96 
      2016-05-23 02:00:59.000000,1,96 
      2016-05-23 01:00:59.000000,1,96 
      2016-05-23 00:00:59.000000,1,96", sep=",", header=T) 

Answer 1

df <- read.table(sep=",", header=T, text=" 
datetime,usage,available 
2016-05-25 10:00:59.000000,12,96 
2016-05-25 09:00:59.000000,8,96 
2016-05-25 08:00:59.000000,0,96 
2016-05-25 07:00:59.000000,0,96 
2016-05-25 06:00:59.000000,0,96 
2016-05-25 05:00:59.000000,0,96 
2016-05-25 04:00:59.000000,0,96 
2016-05-25 03:00:59.000000,0,96 
2016-05-25 02:00:59.000000,0,96 
2016-05-25 01:00:59.000000,0,96 
2016-05-25 00:00:59.000000,0,96 
2016-05-24 23:00:59.000000,0,96 
2016-05-24 22:00:59.000000,0,96 
2016-05-24 21:00:59.000000,0,96 
2016-05-24 20:00:59.000000,2,96 
2016-05-24 19:00:59.000000,0,96 
2016-05-24 18:00:59.000000,8,96 
2016-05-24 17:00:59.000000,15,96 
2016-05-24 16:00:59.000000,20,96 
2016-05-24 15:00:59.000000,19,96 
2016-05-24 14:00:59.000000,3,96 
2016-05-24 13:00:59.000000,6,96 
2016-05-24 12:00:59.000000,9,96 
2016-05-24 11:00:59.000000,13,96 
2016-05-24 10:00:59.000000,16,96 
2016-05-24 09:00:59.000000,11,96 
2016-05-24 08:00:59.000000,1,96 
2016-05-24 07:00:59.000000,5,96 
2016-05-24 06:00:59.000000,2,96 
2016-05-24 05:00:59.000000,0,96 
2016-05-24 04:00:59.000000,0,96 
2016-05-24 03:00:59.000000,0,96 
2016-05-24 02:00:59.000000,0,96 
2016-05-24 01:00:59.000000,0,96 
2016-05-24 00:00:59.000000,0,96 
2016-05-23 23:00:59.000000,0,96 
2016-05-23 22:00:59.000000,0,96 
2016-05-23 21:00:59.000000,0,96 
2016-05-23 20:00:59.000000,4,96 
2016-05-23 19:00:59.000000,0,96 
2016-05-23 18:00:59.000000,0,96 
2016-05-23 17:00:59.000000,0,96 
2016-05-23 16:00:59.000000,3,96 
2016-05-23 15:00:59.000000,5,96 
2016-05-23 14:00:59.000000,2,96 
2016-05-23 13:00:59.000000,18,96 
2016-05-23 12:00:59.000000,10,96 
2016-05-23 11:00:59.000000,7,96 
2016-05-23 10:00:59.000000,9,96 
2016-05-23 09:00:59.000000,1,96 
2016-05-23 08:00:59.000000,1,96 
2016-05-23 07:00:59.000000,1,96 
2016-05-23 06:00:59.000000,1,96 
2016-05-23 05:00:59.000000,1,96 
2016-05-23 04:00:59.000000,1,96 
2016-05-23 03:00:59.000000,1,96 
2016-05-23 02:00:59.000000,1,96 
2016-05-23 01:00:59.000000,1,96 
2016-05-23 00:00:59.000000,1,96") 
boxplot(df$usage~as.POSIXlt(df$datetime)$hour) 

私は数分に時間を変換し、最初の2つの列を保つ、ここhttp://stackoverflow.comになり

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