Question

我正在绘制一些数据记录的开始和结束时间。下面是我正在使用的数据框架，而不是我制作的。基本上我有2个循环遍历我的数据，寻找开始和结束时间，每个循环产生一个数据帧，然后粘贴到“数据原始”。

现在我想提醒我的观察者每个离散数据集的开始和结束时间是什么，并且暂时只用不同颜色着色标记为“开始”和“结束”的点就足够了。老实说，虽然我想让这个更加花哨的画一个框周围的框，褪色的背景与交替的颜色，如果可能使用我选择作为角落的点。这样第一个“开始”点是1个角，第一个“结束”点是下一个角。没有任何线索是可能的，虽然我想在跑之前我会爬行。

下面是我正在使用的数据框和我用来标记点的ggplot2函数。

老实说，我觉得这是一个非常简单的问题，因为我对ggplot如何映射或优先处理数据缺乏了解。

require(ggplot2)

dataraw <- structure(list(Time = c(1383817893L, 1383817970L, 1383818010L, 
        1383818080L, 1383818170L, 1383818250L, 1383817923L, 1383818003L, 
        1383818043L, 1383818113L, 1383818203L, 1383818286L, 1383817890L, 
        1383817893L, 1383817896L, 1383817899L, 1383817902L, 1383817905L, 
        1383817908L, 1383817911L, 1383817914L, 1383817917L, 1383817920L, 
        1383817923L, 1383817970L, 1383817973L, 1383817976L, 1383817979L, 
        1383817982L, 1383817985L, 1383817988L, 1383817991L, 1383817994L, 
        1383817997L, 1383818000L, 1383818003L, 1383818010L, 1383818013L, 
        1383818016L, 1383818019L, 1383818022L, 1383818025L, 1383818028L, 
        1383818031L, 1383818034L, 1383818037L, 1383818040L, 1383818043L, 
        1383818080L, 1383818083L, 1383818086L, 1383818089L, 1383818092L, 
        1383818095L, 1383818098L, 1383818101L, 1383818104L, 1383818107L, 
        1383818110L, 1383818113L, 1383818170L, 1383818173L, 1383818176L, 
        1383818179L, 1383818182L, 1383818185L, 1383818188L, 1383818191L, 
        1383818194L, 1383818197L, 1383818200L, 1383818203L, 1383818250L, 
        1383818253L, 1383818256L, 1383818259L, 1383818262L, 1383818265L, 
        1383818268L, 1383818271L, 1383818274L, 1383818277L, 1383818280L, 
        1383818283L, 1383818286L), value = c(4307L, 4748L, 5419L, 4663L, 
        4779L, 4532L, 5539L, 4589L, 5541L, 5403L, 5277L, 5183L, 4246L, 
        4307L, 4368L, 4416L, 4930L, 5417L, 5444L, 5461L, 5485L, 5507L, 
        5520L, 5539L, 4748L, 4730L, 4741L, 4706L, 4717L, 4684L, 4673L, 
        4673L, 4660L, 4651L, 4585L, 4589L, 5419L, 5463L, 5487L, 5510L, 
        5513L, 5535L, 5535L, 5538L, 5532L, 5543L, 5534L, 5541L, 4663L, 
        4632L, 4598L, 4586L, 4577L, 4565L, 4546L, 5316L, 5348L, 5340L, 
        5363L, 5403L, 4779L, 4790L, 4790L, 4779L, 4762L, 4771L, 5249L, 
        5294L, 5286L, 5290L, 5267L, 5277L, 4532L, 4361L, 4327L, 4319L, 
        4307L, 4288L, 4285L, 5098L, 5151L, 5158L, 5163L, 5177L, 5183L
        ), variable = c("Start", "Start", "Start", "Start", "Start", 
        "Start", "End", "End", "End", "End", "End", "End", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1", 
        "rawPressure1", "rawPressure1", "rawPressure1", "rawPressure1"
        )), .Names = c("Time", "value", "variable"), row.names = c(NA, 
        85L), class = "data.frame")


    p <- ggplot(dataraw,aes(Time, value,group=variable)) +
                geom_point(aes(colour=variable))

编辑：这是上一个发现“开始”和“结束”的循环，它确实复制了数据。如下所述，最好将start和end添加为一个因子，而不是将其复制并将其添加为变量。

dataraw <-structure(list(Time = c(1383817890L, 1383817893L, 1383817896L, 
1383817899L, 1383817902L, 1383817905L, 1383817908L, 1383817911L, 
1383817914L, 1383817917L, 1383817920L, 1383817923L, 1383817970L, 
1383817973L, 1383817976L, 1383817979L, 1383817982L, 1383817985L, 
1383817988L, 1383817991L, 1383817994L, 1383817997L, 1383818000L, 
1383818003L, 1383818010L, 1383818013L, 1383818016L, 1383818019L, 
1383818022L, 1383818025L, 1383818028L, 1383818031L, 1383818034L, 
1383818037L, 1383818040L, 1383818043L, 1383818080L, 1383818083L, 
1383818086L, 1383818089L, 1383818092L, 1383818095L, 1383818098L, 
1383818101L, 1383818104L, 1383818107L, 1383818110L, 1383818113L, 
1383818170L, 1383818173L, 1383818176L, 1383818179L, 1383818182L, 
1383818185L, 1383818188L, 1383818191L, 1383818194L, 1383818197L, 
1383818200L, 1383818203L, 1383818250L, 1383818253L, 1383818256L, 
1383818259L, 1383818262L, 1383818265L, 1383818268L, 1383818271L, 
1383818274L, 1383818277L, 1383818280L, 1383818283L, 1383818286L
), variable = 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
), .Label = "rawPressure1", class = "factor"), value = c(4246L, 
4307L, 4368L, 4416L, 4930L, 5417L, 5444L, 5461L, 5485L, 5507L, 
5520L, 5539L, 4748L, 4730L, 4741L, 4706L, 4717L, 4684L, 4673L, 
4673L, 4660L, 4651L, 4585L, 4589L, 5419L, 5463L, 5487L, 5510L, 
5513L, 5535L, 5535L, 5538L, 5532L, 5543L, 5534L, 5541L, 4663L, 
4632L, 4598L, 4586L, 4577L, 4565L, 4546L, 5316L, 5348L, 5340L, 
5363L, 5403L, 4779L, 4790L, 4790L, 4779L, 4762L, 4771L, 5249L, 
5294L, 5286L, 5290L, 5267L, 5277L, 4532L, 4361L, 4327L, 4319L, 
4307L, 4288L, 4285L, 5098L, 5151L, 5158L, 5163L, 5177L, 5183L
), dt = c(3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 47L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 7L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 37L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 57L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
47L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, NA)), .Names = c("Time", 
"variable", "value", "dt"), row.names = c(NA, -73L), class = "data.frame")

这是通过下面的循环推送的数据框。

这些循环只是简单地说出了我认为是每个离散数据集的开始和结束时间。而不是Rbind点我应该为数据点添加一个因子。

Start <- data.frame()

for (i in 2:(length(dataraw[,1])-1))
{
  if (( i == 2) ||  (dataraw$dt[i-1] > 3 && dataraw$dt[i]==3)) { 
  Start <- rbind(Start,c(dataraw[i,1],dataraw[i,3]))

  }

  {next}
}
colnames(Start) <- c('Time','value')
Start$variable <- paste("Start")

End <- data.frame()
for (i in 1:(length(dataraw[,1])))
{ 
  if (( dataraw$dt[i] > 3 && dataraw$dt[i-1]==3) || is.na(dataraw$dt[i])==TRUE) { 
    End <- rbind(End,c(dataraw[i,1],dataraw[i,3]))

  }

{next}
}
colnames(End) <- c('Time','value')
End$variable <- paste("End")
Events <- rbind(Start,End)
dataraw <- dataraw[,1:3]
dataraw <- rbind(Events,dataraw)

Answer 1

我认为您可能会以错误的形式提供您正在尝试执行的操作的数据。

开始时间和结束时间似乎是作为新点而不是旧点的属性创建的？所以ggplot在同一时间和rawPressure1绘制两个点，隐藏彩色的点。

编辑：如果在循环结束时，不使用rbind组合数据帧，请使用merge，然后删除额外的列。这会创建一个数据框，其中包含点，它们的值以及开始，结束或NA的因子。然后可以使用这个新因子对点进行着色。

因此，代替循环的最后一行，添加这两行

data <- merge(x = dataraw, y = Events, by = "Time", all.x = T)
data <- data[,c(1,3,5)]

这将创建具有Start / End的数据帧作为适当时间的属性。

然后像以前一样密谋

p <- ggplot(data,aes(Time, rawPressure1))+
           geom_point(aes(colour= factor(pos)))
p

Answer 2

如果我理解你（你的主要问题是情节）你应该尝试 qplot ;

查看此tutorial

打印重叠点ggplot2时间序列数据

2 个答案: