我已经在这个数据集上工作了一段时间，而且我很确定我将在下面显示的代码可以正常工作。重新启动R后，我意外遇到了错误：
Error in mutate_impl(.data, dots) :
Evaluation error: could not find function "day".
这是我正在使用的数据集的head()样本：
> head(finalresults_plot)
GMT_DATE GMT_TIME predicted
1: 6/1/2016 00:04:00 Foraging
2: 6/1/2016 00:08:00 Foraging
3: 6/1/2016 00:12:00 Foraging
4: 6/1/2016 00:16:00 Foraging
5: 6/1/2016 00:20:00 Foraging
6: 6/1/2016 00:24:00 Foraging
我想为其创建每小时的时间戳，而不是四分钟的时间戳。我有三个不同的predicted类别，所需的输出是一个表格，其中包含一天中每个小时（从0到23的每个小时的平均小时计数）。这是一个输出示例：
# hour predicted y ymin ymax
# 1 0 Feeding 0 0 0
# 2 0 Foraging 14.5 8.15 20.9
# 3 0 Standing 0 0 0
# 4 1 Feeding 6.5 -25.3 38.3
# 5 1 Foraging 2 -10.7 14.7
# 6 1 Standing 6.5 -12.6 25.6
# 7 2 Feeding 4.5 -1.85 10.9
# 8 2 Foraging 9 9 9
# 9 2 Standing 1.5 -4.85 7.85
# 10 3 Feeding 11 -14.4 36.4
这是我一直在使用的代码，带有相关的错误，如果有人发现错误了，我将不胜感激！：
> (agg_df <- finalresults_plot %>%
+ as_tibble() %>%
+ mutate(tms = as.POSIXct(paste0(GMT_DATE, "-", GMT_TIME), format = "%m/%d/%Y-%H:%M:%S"),
+ hour = hour(tms),
+ day = day(tms)) %>%
+ group_by(day, hour) %>%
+ summarise(tab = list(as.data.frame(table(predicted)))) %>%
+ unnest() %>%
+ group_by(hour, predicted) %>%
+ summarise(stats = list((mean_cl_normal(Freq)/29.5161291))) %>%
+ unnest())
Error in mutate_impl(.data, dots) :
Evaluation error: could not find function "day".
我可以上传可复制性示例：
> dput(finalresults_plot[c(1:600),])
structure(list(GMT_DATE = c("6/1/2016", "6/1/2016", "6/1/2016",
"6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016",
"6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016",
"6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016",
"6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016",
"6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016",
"6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016",
"6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016", "6/1/2016",
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"00:32:00", "00:36:00", "00:40:00", "00:44:00", "00:48:00", "00:52:00",
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"02:56:00", "03:00:00", "03:04:00", "03:08:00", "03:12:00", "03:16:00",
"03:20:00", "03:24:00", "03:28:00", "03:32:00", "03:36:00", "03:40:00",
"03:44:00", "03:48:00", "03:52:00", "03:56:00", "04:00:00", "04:04:00",
"04:08:00", "04:12:00", "04:16:00", "04:20:00", "04:24:00", "04:28:00",
"04:32:00", "04:36:00", "04:40:00", "04:44:00", "04:48:00", "04:52:00",
"04:56:00", "05:00:00", "05:04:00", "05:08:00", "05:12:00", "05:16:00",
"05:20:00", "05:24:00", "05:28:00", "05:32:00", "05:36:00", "05:40:00",
"05:44:00", "05:48:00", "05:52:00", "05:56:00", "06:00:00", "06:04:00",
"06:08:00", "06:12:00", "06:16:00", "06:20:00", "06:24:00", "06:28:00",
"06:32:00", "06:36:00", "06:40:00", "06:44:00", "06:48:00", "06:52:00",
"06:56:00", "07:00:00", "07:04:00", "07:08:00", "07:12:00", "07:16:00",
"07:20:00", "07:24:00", "07:28:00", "07:32:00", "07:36:00", "07:40:00",
"07:44:00", "07:48:00", "07:52:00", "07:56:00", "08:00:00", "08:04:00",
"08:08:00", "08:12:00", "08:16:00", "08:20:00", "08:24:00", "08:28:00",
"08:32:00", "08:36:00", "08:40:00", "08:44:00", "08:48:00", "08:52:00",
"08:56:00", "09:00:00", "09:04:00", "09:08:00", "09:12:00", "09:16:00",
"09:20:00", "09:24:00", "09:28:00", "09:32:00", "09:36:00", "09:40:00",
"09:44:00", "09:48:00", "09:52:00", "09:56:00", "10:00:00", "10:04:00",
"10:08:00", "10:12:00", "10:16:00", "10:20:00", "10:24:00", "10:28:00",
"10:32:00", "10:36:00", "10:40:00", "10:44:00", "10:48:00", "10:52:00",
"10:56:00", "11:00:00", "11:04:00", "11:08:00", "11:12:00", "11:16:00",
"11:20:00", "11:24:00", "11:28:00", "11:32:00", "11:36:00", "11:40:00",
"11:44:00", "11:48:00", "11:52:00", "11:56:00", "12:00:00", "12:04:00",
"12:08:00", "12:12:00", "12:16:00", "12:20:00", "12:24:00", "12:28:00",
"12:32:00", "12:36:00", "12:40:00", "12:44:00", "12:48:00", "12:52:00",
"12:56:00", "13:00:00", "13:04:00", "13:08:00", "13:12:00", "13:16:00",
"13:20:00", "13:24:00", "13:28:00", "13:32:00", "13:36:00", "13:40:00",
"13:44:00", "13:48:00", "13:52:00", "13:56:00", "14:00:00", "14:04:00",
"14:08:00", "14:12:00", "14:16:00", "14:20:00", "14:24:00", "14:28:00",
"14:32:00", "14:36:00", "14:40:00", "14:44:00", "14:48:00", "14:52:00",
"14:56:00", "15:00:00", "15:04:00", "15:08:00", "15:12:00", "15:16:00",
"15:20:00", "15:24:00", "15:28:00", "15:32:00", "15:36:00", "15:40:00",
"15:44:00", "15:48:00", "15:52:00", "15:56:00", "16:00:00"),
clas1 = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 1L, 3L, 3L, 3L, 3L, 3L, 1L,
1L, 1L, 3L, 3L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
3L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 3L,
1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L,
1L, 2L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 2L, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 3L, 3L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 1L, 3L, 1L,
1L, 3L, 1L, 3L, 1L, 1L, 3L, 3L, 3L, 3L, 1L, 1L, 3L, 3L, 2L,
2L, 1L, 3L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 1L, 3L, 3L, 3L, 3L,
1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 2L, 3L, 3L, 2L, 2L, 2L,
3L, 2L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 3L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 1L, 3L, 3L, 1L, 3L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 3L, 1L, 1L, 2L,
1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L,
2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 3L,
3L, 3L, 3L, 1L, 1L, 3L, 3L, 1L, 3L, 3L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 3L, 1L, 3L, 3L,
3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L,
2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 3L, 1L, 2L, 3L,
1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 3L, 3L,
1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 3L, 3L, 1L, 3L, 3L, 1L, 3L, 1L, 3L, 3L, 3L,
3L, 3L, 2L, 2L, 2L, 1L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 3L, 3L,
1L, 3L, 3L, 3L, 3L, 2L, 1L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 1L,
2L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 3L, 1L, 1L,
1L, 1L, 3L, 3L, 3L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 2L, 1L,
1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 3L, 3L,
3L, 3L, 3L, 3L, 3L), .Label = c("Feeding", "Foraging", "Standing"
), class = "factor")), row.names = c(NA, -600L), class = c("data.table",
"data.frame"), .internal.selfref = <pointer: 0x00000000026c1ef0>)