R中的hms difftime类型的问题
[英]Issue with hms difftime type in R
问题描述
I have two dataframes that are very similar that I am trying to rbind together, but am running into an issue. 
我有两个非常相似的数据框，试图将它们绑定在一起，但是遇到了问题。 I used dput() to grab 3 columns (one of which is problematic) and 10 rows from each dataframe. 我使用dput（）从每个数据帧中捕获3列（其中一个有问题）和10行。
str1 = structure(list(period_type = c("half", "half", "half", "half",
"half", "half", "half", "half", "half", "half"), period_number = c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), clock = structure(c("72000",
"70800", "69720", "69600", "69480", "68280", "67200", "66780",
"65160", "65160"), class = c("hms", "difftime"), units = "secs")), row.names = c(NA,
10L), class = "data.frame")
str2 = structure(list(period_type = c("half", "half", "half", "half",
"half", "half", "half", "half", "half", "half"), period_number = c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), clock = structure(c(72000,
71640, 70140, 70020, 69720, 69720, 69720, 69720, 69300, 67860
), class = c("hms", "difftime"), units = "secs")), row.names = c(NA,
10L), class = "data.frame")
> head(plyr::rbind.fill(str1, str2))
period_type period_number clock
1 half 1 NA:NA:NANA
2 half 1 NA:NA:NANA
3 half 1 NA:NA:NANA
4 half 1 NA:NA:NANA
5 half 1 NA:NA:NANA
6 half 1 NA:NA:NANA
When I perform rbind.fill the clock column turns into NA:NA:NANA, which is frustrating. 当我执行rbind.fill ，时钟列变成NA：NA：NANA，这令人沮丧。 When I check the classes for the clock column in each dataframe, they "appear" to be the same: 当我检查每个数据帧中clock列的类时，它们“看起来”是相同的：
> class(str1$clock)
[1] "hms" "difftime"
> class(str2$clock)
[1] "hms" "difftime"
...however, what the dput() has fortunately revealed to me is that the values in the clock vector are strings for str1 and numbers for str2. ...但是，幸运的是dput()向我揭示的是，时钟向量中的值是str1的字符串和str2的数字。 Again I did not create these demo str dataframes from scratch, they are from my full dataframes, so this is clearly a different in the clock column between dataframes. 再次，我没有从头开始创建这些demo str数据帧，它们是从我的完整数据帧创建的，因此这在数据帧之间的clock列中显然是不同的。
How can I fix either of these so that the column types are consistent? 我该如何解决这些问题，以使列类型保持一致？ Thanks in advance!! 提前致谢！！
1 个解决方案
解决方案1
1 2019-05-03 01:49:23
This is not really an explanation why plyr::rbind.fill did not work, but the following does work 这是不是真的，为什么解释plyr::rbind.fill 没有工作，但下面不工作
library(hms)
do.call(rbind, list(str1, str2))
# period_type period_number clock
#1 half 1 20:00:00
#2 half 1 19:40:00
#3 half 1 19:22:00
#4 half 1 19:20:00
#5 half 1 19:18:00
#6 half 1 18:58:00
#7 half 1 18:40:00
#8 half 1 18:33:00
#9 half 1 18:06:00
#10 half 1 18:06:00
#11 half 1 20:00:00
#12 half 1 19:54:00
#13 half 1 19:29:00
#14 half 1 19:27:00
#15 half 1 19:22:00
#16 half 1 19:22:00
#17 half 1 19:22:00
#18 half 1 19:22:00
#19 half 1 19:15:00
#20 half 1 18:51:00
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