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在聚合 R 中处理 NA

[英]Handling NAs in aggregate R

 原文  2016-04-18 16:37:57  3   1    r/ datetime/ time-series/ aggregate

问题描述

我有一个数据框dt ：

structure(list(datetime = structure(c(1427846400, 1427850000, 
1427853600, 1427857200, 1427860800, 1427864400, 1427868000, 1427871600, 
1427875200, 1427878800, 1427882400, 1427886000, 1427889600, 1427893200, 
1427896800, 1427900400, 1427904000, 1427907600, 1427911200, 1427914800, 
1427918400, 1427922000, 1427925600, 1427929200, 1427932800, 1427936400, 
1427940000, 1427943600, 1427947200, 1427950800), class = c("POSIXct", 
"POSIXt"), tzone = "GMT"), precip = c(NA, 0.2, NA, 0.1, NA, NA, 
0.4, 0.1, 0.2, 0.3, 1.1, 1, 0.8, 0.5, 0.5, NA, NA, 0.4, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), bin = structure(c(1L, 
1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 
3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L), .Label = c("2015-04-01 00:00:00", 
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), class = "factor")), .Names = c("datetime", "precip", "bin"
), row.names = c(NA, 30L), class = "data.frame")

其目的是聚集dt$precip由bin和回NAs ，其中dt$precip拥有所有NAs在bin和忽略NAs在那里的价值观和NAs的箱共存。 我试过：

tri <- aggregate(dt$precip, list(dt$bin), FUN=sum, na.rm=T)

tri
              Group.1   x
1 2015-04-01 00:00:00 0.3
2 2015-04-01 06:00:00 3.1
3 2015-04-01 12:00:00 2.2
4 2015-04-01 18:00:00 0.0
5 2015-04-02 00:00:00 0.0

求和并删除/忽略前 3 个正确的 bin 中的 NA。 但是，它在最后两个 bin 中插入zeros而不是NAs 。 我需要NAs 。

我试过了：

tri <- aggregate(dt$precip, list(dt$bin), FUN=sum, na.rm=TRUE, na.action=na.omit)

Error in FUN(X[[1L]], ...) : invalid 'type' (closure) of argument

和

tri <- aggregate(dt$precip, list(dt$bin), function(x) sum(x, na.rm=TRUE), na.action = na.pass)

Error in FUN(X[[1L]], ...) : 
  unused argument (na.action = function (object, ...) 
object)

tri <- aggregate(dt$precip, list(dt$bin), FUN=sum, na.rm=TRUE, na.action="na.pass")

Error in FUN(X[[1L]], ...) : invalid 'type' (character) of argument

我在这里缺少什么吗？ 我有超过 20,000 个文件，我的整个代码都以aggregate函数为中心。 我知道存在使用dplyr和data.table等的其他方法，但我会欣赏使用aggregate的解决方案，尤其是在list对象中。

1 个解决方案

解决方案1
 1 已采纳  2016-04-18 16:46:31

我们可以创建一个例外返回NA时， all在“雨”特定“本”的元素是NA或else获得sum使用na.rm=TRUE

 aggregate(precip~bin, dt,FUN = function(x)
      if(all(is.na(x))) NA else sum(x, na.rm=TRUE), na.action=na.pass)
 #                     bin precip
 #1 2015-04-01 00:00:00    0.3
 #2 2015-04-01 06:00:00    3.1
 #3 2015-04-01 12:00:00    2.2
 #4 2015-04-01 18:00:00     NA
 #5 2015-04-02 00:00:00     NA

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