如何在dygraph图中添加部分阴影的误差线

Question

我是R软件的新手。我的CSV数据包含超过10,000个单位（行）和两个变量（列）。使用数据记录器每20分钟（每天72次）记录数据六个月。这里使用R。

绘制样本数据和dygraph

dput（穗）

tzone = "", tclass = c("POSIXct", "POSIXt")), .indexCLASS = c("POSIXct", 
"POSIXt"), tclass = c("POSIXct", "POSIXt"), .indexTZ = "", tzone = "", class = c("xts", 
"zoo"))

Names = c("Datetime", 
"Temp", "RH", "X"), class = "data.frame", row.names = c(NA, -5552L
))

Datetime          Temp    RH
2014-08-30 8:00   21.6    70.3
2014-08-30 8:20   21.7    69.8
2014-08-30 8:40   22.1    70.3
2014-08-30 9:00   22.5    70.8
2014-08-30 9:20   22.7    70.9
2014-08-30 9:40   23.3    71.5
2014-08-30 10:00  23.4    70.4
2014-08-30 10:20  23.8    71.3
2014-08-30 10:40  24.4    71.6
2014-08-30 11:00  25      71.7
2014-08-30 11:20  25.7    68.2
2014-08-30 11:40  25.8    63.8
2014-08-30 12:00  26.4    63.9
2014-08-30 12:20  27.5    65.1
2014-08-30 12:40  28.1    62.6
2014-08-30 13:00  28.4    61.1
2014-08-30 13:20  28.4    60.1
2014-08-30 13:40  28.2    59.3
2014-08-30 14:00  28      58.3
2014-08-30 14:20  27.6    56.9
2014-08-30 14:40  27.4    57.1
2014-08-30 15:00  27.3    57.3
2014-08-30 15:20  27.4    57.5
2014-08-30 15:40  27.4    57.4
2014-08-30 16:00  27.5    57.2
2014-08-30 16:20  27.6    57.2
2014-08-30 16:40  27.6    57
2014-08-30 17:00  27.5    55.8
2014-08-30 17:20  27.4    55.8
2014-08-30 17:40  27.3    55.4
2014-08-30 18:00  27.2    55.8
2014-08-30 18:20  27.1    55.8
2014-08-30 18:40  27      55.8
2014-08-30 19:00  26.8    55.4
2014-08-30 19:20  26.6    55.6
2014-08-30 19:40  26.5    55.3
2014-08-30 20:00  26.1    54.7
2014-08-30 20:20  25.8    54.5
2014-08-30 20:40  25.5    55.3
2014-08-30 21:00  25.4    55.6
2014-08-30 21:20  25.4    55.9
2014-08-30 21:40  25.4    56.1
2014-08-30 22:00  25.4    56.1
2014-08-30 22:20  24.8    55.9
2014-08-30 22:40  24.3    56.6
2014-08-30 23:00  23.8    57.4
2014-08-30 23:20  23.5    58
2014-08-30 23:40  23.1    58.6
2014-08-31 0:00   22.9    59.2
2014-08-31 0:20   22.6    59.8
2014-08-31 0:40   22.4    60.3
2014-08-31 1:00   22.3    60.8
2014-08-31 1:20   22.1    61.3
2014-08-31 1:40   22  61.7
2014-08-31 2:00   21.8    62.2
2014-08-31 2:20   21.7    62.6
2014-08-31 2:40   21.6    63
2014-08-31 3:00   21.6    63.4
2014-08-31 3:20   21.5    63.7
2014-08-31 3:40   21.4    64
2014-08-31 4:00   21.4    64.4
2014-08-31 4:20   21.3    64.7
2014-08-31 4:40   21.2    65
2014-08-31 5:00   21.2    65.2
2014-08-31 5:20   21.1    65.5
2014-08-31 5:40   21.1    65.8
2014-08-31 6:00   21.1    65.9
2014-08-31 6:20   21      66.2
2014-08-31 6:40   21      66.4
2014-08-31 7:00   21.1    67.3
2014-08-31 7:20   21.2    68.1
2014-08-31 7:40   21.6    67.6
2014-08-31 8:00   21.7    67.9
2014-08-31 8:20   22.1    68.9
2014-08-31 8:40   22.1    67.7
2014-08-31 9:00   22.1    68
2014-08-31 9:20   22.7    70.4
2014-08-31 9:40   24.9    70.6
2014-08-31 10:00  26.2    62.3
2014-08-31 10:20  26.8    62.4
2014-08-31 10:40  27.6    62.4
2014-08-31 11:00  27.8    60.3
2014-08-31 11:20  27.7    58.1
2014-08-31 11:40  27.2    56.4
2014-08-31 12:00  28.8    51.6
2014-08-31 12:20  27.5    54.8
2014-08-31 12:40  27.2    55.6
2014-08-31 13:00  27.9    58.5
2014-08-31 13:20  27.3    58.6
2014-08-31 13:40  27.2    58.4
2014-08-31 14:00  27      59
2014-08-31 14:20  26.7    59.3
2014-08-31 14:40  26.8    59.4
2014-08-31 15:00  26.2    58.2
2014-08-31 15:20  25.6    58.3
2014-08-31 15:40  26      59.6
2014-08-31 16:00  26.8    61.5
2014-08-31 16:20  27.6    61.8
2014-08-31 16:40  27.8    61.2
2014-08-31 17:00  27.7    59.2
2014-08-31 17:20  28.1    59.3
2014-08-31 17:40  28.5    58.4
2014-08-31 18:00  28.5    57.7
2014-08-31 18:20  28.9    57.3
2014-08-31 18:40  29.3    53.3
2014-08-31 19:00  28.6    51.5
2014-08-31 19:20  27.8    51.2
2014-08-31 19:40  27.1    51.5
2014-08-31 20:00  26.6    51.9
2014-08-31 20:20  26.3    53.2
2014-08-31 20:40  25.7    55.2
2014-08-31 21:00  25.2    68.1
2014-08-31 21:20  26      58.1
2014-08-31 21:40  25      58.3
2014-08-31 22:00  24.5    59.1
2014-08-31 22:20  23.8    59.2
2014-08-31 22:40  23.3    59.7
2014-08-31 23:00  22.9    60.3
2014-08-31 23:20  22.6    61.1
2014-08-31 23:40  22.5    61.5
2014-09-01 0:00   22.4    61.9
2014-09-01 0:20   22.3    62.2
2014-09-01 0:40   22.3    62.6
2014-09-01 1:00   22.2    62.9
2014-09-01 1:20   22.2    63.1
2014-09-01 1:40   22.1    63.4
2014-09-01 2:00   22.2    63.8
2014-09-01 2:20   22.2    64.1
2014-09-01 2:40   22.2    64.4
2014-09-01 3:00   22.1    64.7
2014-09-01 3:20   22.1    65
2014-09-01 3:40   22.1    65.4

Preharvest<- read.csv("C:/Users/User/Desktop/Preharvest.csv")
Preharvest1<- as.data.frame(Preharvest  , header=True)
library(dygraphs)
library(xts)
s <-xts(Preharvest1[, 2:3], order.by=as.POSIXct(Preharvest1$Datetime))  
dygraph(s)

Sample dygraph

但是，我想让dygraph带有时间序列的部分阴影误差条。这里的样本dygraph是从我想要的互联网上获取的。

enter image description here

是否有人帮助我并根据具有部分阴影的数据的每日平均值来指导使用带有误差线的dygraph？