r - 异常化函数的问题

Question

我需要使用“异常化”函数检查数据数组。

首先我连接了一些库

library(tidyverse)
library(anomalize)
library(dplyr)
library(zoo)
library(ggplot2)
library(forecast)
library(anytime)

然后我删除此任务不需要的所有列

trash1 <- ASD[, -2]
trash2 <- trash1[,-2]
trash3 <- trash2[,-2]
trash4 <- trash3[,-2]
trash5 <- trash4[,-2]
trash6 <- trash5[,-2]
trash7 <- trash6[,-4]
trash8 <- trash7[,-4]
view(trash8)

将类从因子更改为日期：

trash8$DMY <- as.Date(trash8$DMY, format="%d.%m.%y")

比我试图使这个异常化

trash_tbl <- as_tibble(trash8)
trash_tbl %>%
  time_decompose(Qp) %>%
  anomalize(remainder) %>%
  time_recompose() %>%
  plot_anomalies(time_recomposed = TRUE, ncol = 3 , alpha_dots = 0.5)

结果我有这个错误：

Converting from tbl_df to tbl_time.
Auto-index message: index = DMY
Note: Index not ordered. tibbletime assumes index is in ascending order. Results may not be as desired.
Error: Only year, quarter, month, week, and day periods are allowed for an index of class Date

请帮助我或说，我可以阅读什么来解决这个问题？

这是我的数据。DMY - 日期，MCC - 因子，Art - 数字，Qp - 数字，Ql - 因子

1    DMY        MCC      Art   Qp     Ql
1   2016-01-01 UA0000468 1801 3520    440
2   2016-01-01 UA0000468 3102 3024  604,8
3   2016-01-01 UA0000468 4419  270  521,1
4   2016-01-01 UA0000468 5537 1080 2084,4
5   2016-01-03 UA0010557 3528  180     36
6   2016-01-03 UA0010557 3529  198   39,6
...

标签： r