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I am trying to run a piece of code following strict instructions from https://otexts.com/fpp3/graphics-exercises.html

I am using the following packages

library(tsibble)
library(tidyverse)
library(tsibbledata)
library(fable)
library(fpp3)
library(forecast)
library(ggplot2)
library(ggfortify)

I ran the following lines of code in order to get a timeseries object (aus_retail) 

set.seed(12345678)
myseries <- aus_retail %>%
 filter(`Series ID` == sample(aus_retail$`Series ID`,1))

As an exercise, the author suggests in the page above: "Explore your chosen retail time series using the following functions:"

autoplot(), ggseasonplot(), ggsubseriesplot(), gglagplot(), ggAcf()

So, i tried to run the following line of code

forecast::ggseasonplot(x = myseries)

Which answered me the following error:

Error in forecast::ggseasonplot(x = myseries$Turnover) : 
  autoplot.seasonplot requires a ts object, use x=object

Reading the function help, there is a Example with the AirPassengers dataset (base), which is not even a ts object

Examples

ggseasonplot(AirPassengers, year.labels=TRUE, continuous=TRUE)

which runs as below

enter image description here

The code runs without the others parameters too

 ggseasonplot(AirPassengers)

enter image description here

Why the function keeps asking me for a ts object even though i input one to it?

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2 回答 2

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为此表示歉意！fpp3 书仍在编写中（feasts/fable/tsibble 仍在开发中）。

您在上面找到的链接代码来自旧版本的 feasts，它不再是最新的。可以看到 Q6 中使用了正确的功能，但 Q4 中的功能错误地没有更新。

而不是ggseasonplot()，应该说gg_season()。类似的适用于其他函数名称。

相应的代码如下：

library(fpp3)
set.seed(12345678)
myseries <- aus_retail %>%
  filter(`Series ID` == sample(aus_retail$`Series ID`,1))
myseries %>% 
  autoplot(Turnover)


myseries %>% 
  gg_season(Turnover)


myseries %>% 
  gg_subseries(Turnover)


myseries %>% 
  gg_lag(Turnover)


myseries %>% 
  ACF(Turnover) %>% 
  autoplot()

由reprex 包（v0.3.0）于 2020 年 1 月 23 日创建

于 2020-01-23T02:56:18.027 回答
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在 Rstudio 社区寻找解决方案，我找到了 Rob Hyndman 对此问题的答案 https://community.rstudio.com/t/can-not-use-autoplot-with-a-tsibble/41297

因此，您必须通过 as.ts 函数将类更改为 ts。

因此，为了使用 ggseasonplot 函数，代码应如下所示：

forecast::ggseasonplot(x = as.ts(myseries))
于 2020-01-16T01:36:08.107 回答