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使用grep在R中提取和平均每月数据？

[英]Extracting and averaging monthly data in R using grep?

 原文  2013-02-03 15:04:21  4   1    r/ aggregate/ subset/ posixct

问题描述

In advance I have to say that I'm truly sorry for poor formatting!事先我不得不说，我真的很抱歉格式不正确！ I just can not seem to get a hang of it... I am also an R noob.我似乎无法掌握它......我也是一个 R 菜鸟。

So, I have a 80 files containing information on 80 individual fish's movements;因此，我有 80 个文件，其中包含 80 条鱼的运动信息；

> head(PAVdata)
   X  meanlat meanlong meandepth mindepth maxdepth depthrange rec numhits            datetime mon      X.1       Y        Z
1 23 58.39601 8.708952  6.493529     5.72     7.47       1.75   4      17 2012-05-11 11:15:00   1 482986.7 6472838 6.493529
2 24 58.39618 8.710993  4.035588     1.76     7.47       5.71   6      34 2012-05-11 11:45:00   1 483106.1 6472855 4.035588
3 25 58.39615 8.710919  6.037692     3.08     8.35       5.27   6      26 2012-05-11 12:15:00   1 483101.8 6472853 6.037692
4 26 58.39556 8.710654  3.987500     2.20     6.16       3.96   5      16 2012-05-11 12:45:00   1 483086.0 6472787 3.987500
5 27 58.39617 8.711363  2.944615     2.20     3.96       1.76   6      26 2012-05-11 13:15:00   1 483127.8 6472855 2.944615
6 28 58.39628 8.710904  2.860000     2.20     3.52       1.32   6      24 2012-05-11 13:45:00   1 483101.0 6472867 2.860000

But the columns in interest is datetime and Z , where Z is depth.但感兴趣的列是datetime和Z ，其中 Z 是深度。

What I am aiming to do is;我的目标是；

  • Get a daily and monthly average of depth获取每日和每月平均深度
  • Get a daily and monthly min & max (look at amplitude)获取每日和每月的最小值和最大值（查看幅度）

What I've tried so far is;到目前为止我尝试过的是；

june<-c(PAVdata$datetime[grep("^2012-07",as.character(PAVdata$datetime))])六月<-c(PAVdata$datetime[grep("^2012-07",as.character(PAVdata$datetime))])

Which yield something thats completely farfetched to me这产生了对我来说完全牵强的东西

head(june) [1] 2390 2391 2392 2393 2394 2395负责人（六月） [1] 2390 2391 2392 2393 2394 2395

I was reading about subset and aggregate and POSIXlt and tapply and zoo and wanted to try these, but I seemed to get the error that there was an length diff ..我正在阅读有关子集和聚合以及POSIXlt和tapply和zoo 的内容，并想尝试这些，但我似乎得到了一个错误，即存在长度差异 ..

Heres an attempt with the POSIXlt;这是 POSIXlt 的尝试；

PAVdata$datetime <- strftime(as.POSIXlt(PAVdata$datetime,format="%Y-%m-%d %H:%M:%S"),format='%b') PAVdata$datetime <- strftime(as.POSIXlt(PAVdata$datetime,format="%Y-%m-%d %H:%M:%S"),format='%b')

june_Monthly_Avg <- ave(PAVdata$Z,PAVdata$datetime,FUN=mean) june_Monthly_Avg <- ave(PAVdata$Z,PAVdata$datetime,FUN=mean)

head(june_Monthly_Avg) [1] 9.341862 9.341862 9.341862 9.341862 9.341862 9.341862头（june_Monthly_Avg）[1] 9.341862 9.341862 9.341862 9.341862 9.341862 9.341862

And the whole thing consisted of the same numbers... Think I'm most def using the commando very wrong.整个事情由相同的数字组成......认为我最清楚地使用突击队非常错误。

But then I tried something simpler;但后来我尝试了一些更简单的方法；

juni_Monthly_Avg <- ave(PAVdata$Z,PAVdata$datetime,FUN=mean) juni_Monthly_Avg <- ave(PAVdata$Z,PAVdata$datetime,FUN=mean)

head(juni_Monthly_Avg)头（juni_Monthly_Avg）

[1] 6.493529 4.035588 6.037692 3.987500 2.944615 2.860000 [1] 6.493529 4.035588 6.037692 3.987500 2.944615 2.860000

Confusing to me, seeing that for June I should only get ONE value.让我困惑的是，看到 6 月份我应该只得到一个值。 So far I reckon grep looks most promising, but I can't seem to get my head around it.到目前为止，我认为grep看起来最有希望，但我似乎无法理解它。 Been trawling The R Book and the interwebs and of course SO for a couple days now and decided to cry out for help before I pull out all my hair (and before consulting my supervisors).一直在搜索 R Book 和互联网，当然还有几天，我决定在拔掉所有头发之前（以及在咨询我的主管之前）大声呼救。

Thanks ^_^谢谢^_^

> dput(head(PAVdata))
structure(list(X = 23:28, meanlat = c(58.3960117647059, 58.3961761764706, 
58.3961507692308, 58.395558125, 58.3961726923077, 58.3962804166667
), meanlong = c(8.70895176470588, 8.71099294117647, 8.71091923076923, 
8.71065375, 8.71136346153846, 8.71090416666667), meandepth = c(6.49352941176471, 
4.03558823529412, 6.03769230769231, 3.9875, 2.94461538461538, 
2.86), mindepth = c(5.72, 1.76, 3.08, 2.2, 2.2, 2.2), maxdepth = c(7.47, 
7.47, 8.35, 6.16, 3.96, 3.52), depthrange = c(1.75, 5.71, 5.27, 
3.96, 1.76, 1.32), rec = c(4L, 6L, 6L, 5L, 6L, 6L), numhits = c(17L, 
34L, 26L, 16L, 26L, 24L), datetime = structure(1:6, .Label = c("2012-06-01 00:15:00", "2012-06-01 00:45:00", 
"2012-06-01 01:15:00", "2012-06-01 01:45:00", "2012-06-01 02:15:00", 
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"2012-07-10 22:15:00", "2012-07-10 22:45:00", "2012-07-10 23:15:00", 
"2012-07-10 23:45:00"), class = "factor"), mon = c(1L, 1L, 1L, 
1L, 1L, 1L), X.1 = c(482986.747312444, 483106.142664631, 483101.821796104, 
483086.019405256, 483127.799620954, 483101.003261731), Y = c(6472837.55691427, 
6472855.34802117, 6472852.53770682, 6472786.61976395, 6472854.86710904, 
6472866.97636095), Z = c(6.49352941176471, 4.03558823529412, 
6.03769230769231, 3.9875, 2.94461538461538, 2.86)), .Names = c("X", 
"meanlat", "meanlong", "meandepth", "mindepth", "maxdepth", "depthrange", 
"rec", "numhits", "datetime", "mon", "X.1", "Y", "Z"), row.names = c(NA, 
6L), class = "data.frame")
>

1 个解决方案

解决方案1
 3 已采纳  2013-02-03 16:06:16

You look that You tray many things but you don't try one thing in a good way.你看起来你托盘很多东西，但你没有以好的方式尝试一件事。

For example using POSIXlt , dat here is your PAVdata object例如使用POSIXlt ，这里的 dat 是您的 PAVdata 对象

ll <- as.POSIXlt(dat$datetime)
dat$hours <- ll$hour              ## I create a variable hour
dat$days <- ll$mday               ## I create a variable day
dat$months <- ll$mon              ## I create a variable month

Now i can use this variable to average by group.现在我可以使用这个变量按组平均。

here a solution using plyr package.这里使用plyr包的解决方案。

 ddply(dat,.(months,days),summarise, m =  mean(meandepth))    ## I group by months and days
  months days        m
1      4   11 4.393154
> ddply(dat,.(months,days,hours),summarise, m =  mean(meandepth)) 
  months days hours        m
1      4   11    11 5.264558
2      4   11    12 5.012596
3      4   11    13 2.902308

Whatever you use, try to use one thing in a good way.无论您使用什么，请尝试以好的方式使用一件事。 Generally there are many method to do such things in R.通常在 R 中有很多方法可以做这样的事情。

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