我需要使用“ Anomalize”功能检查数据数组。
首先，我连接了一些库
library(tidyverse)
library(anomalize)
library(dplyr)
library(zoo)
library(ggplot2)
library(forecast)
library(anytime)
然后我删除该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)
将类别从“因子”更改为“日期”：
trash8$DMY <- as.Date(trash8$DMY, format="%d.%m.%y")
比起我，我尝试将其废止
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)
结果是我出现此错误：
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
请帮我解决这个问题，或者说，我可以读到什么来解决该问题？
这是我的数据。 DMY-日期，MCC-因子，艺术-数值，Qp-数值，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
...