mutate_impl(.data,dots) 中的错误：评估错误：Date 类的索引仅允许年、季度、月、周和日周期

我在用Anomalize包来检测异常，但即使我已经定义了，我还是收到了提到的错误Date作为索引：

示例代码：

x <- as.data.frame(data %>%
  group_by(date,acc_id) %>%
  summarise(count = as.numeric(n_distinct(d_id))) %>%
  ungroup())

x$acc_id <- as.character(x$acc_id)

x <- x %>% 
  tibbletime::as_tbl_time(index = date)


x %>%
  time_decompose(count, method = "twitter", trend = "2 months") %>%
  anomalize(remainder, method = "gesd") %>%
  time_recompose() %>%
  plot_anomalies(time_recomposed = TRUE)

错误 ：

mutate_impl(.data,dots) 中的错误：评估错误：仅年份， 索引允许季度、月、周和日周期 班级日期。

dput(head(x))

structure(list(date = structure(c(17532, 17532, 17532,  17532, 17532, 17532), class = "Date"), acc_id = c("a44444",  "gg555", "0195459b-5809-4b54-89b5-1a4376c9f126",  "ggg6546", "hhjh77",  "hhjh68777"), count = c(3, 1, 1, 1,  1, 1)), .Names = c("date", "acc_id", "count"), row.names = c(NA, 
-6L), class = c("tbl_time", "tbl_df", "tbl", "data.frame"), index_quo = ~date, index_time_zone = "UTC")

我的目标是按日期和其他一些因素进行分组，而不仅仅是日期。

我遇到过同样的问题。对我有帮助的是正确定义你的日期格式：

library(tibbletime)
x <- as_tbl_time(x, index = date)

x %>% 
  as_period("daily")