[R] Help with a third ggplot error

[Eric Berger]

Is this supposed to be a reprex? I don't see where train_tbl is defined.

On Fri, Jun 14, 2019 at 10:30 PM Bill Poling <Bill.Poling using zelis.com> wrote:

> #RStudio Version 1.2.1335
> sessionInfo()
> #R version 3.5.3 (2019-03-11)
> #Platform: x86_64-w64-mingw32/x64 (64-bit)
> #Running under: Windows >= 8 x64 (build 9200)
>
> Hello I am fitting an Arima model and all appears to go well until I get
> to the ggplot, (again, lots of laughs).
> Deja Vu all over again! (God I hope it's not a typo!)
>
> The error at the point of the plot is:
> # Don't know how to automatically pick scale for object of type function.
> Defaulting to continuous.
> # Error: All columns in a tibble must be 1d or 2d objects:
> # * Column `x` is function
>
> I hope someone recognizes my problem.
>
> Thank you for any assistance.
>
> #Here is the code and particulars of the data being plotted
>
> #Fit the arima model
>
> fit_arima2 <- train_tbl %>%
>   tk_ts(select = NetEditRev, frequency = 364) %>%
>   Arima(order = c(1,0,2),
>         seasonal=c(0,1,0),
>         include.drift = TRUE)
>
> #Forecast with Sweep Functions----
>
> fcast_arima_tbl <- forecast(fit_arima2, h = nrow(test_tbl)) %>%
>   sw_sweep(timetk_idx = TRUE, rename_index = "date")
>
> #Save the DF
>
> fs::dir_create("00_model")
>
> fcast_arima_tbl %>% write_rds("00_model/fcast_arima_tbl.rds")
>
> fcast_arima_tbl1 <- read_rds("00_model/fcast_arima_tbl.rds")
>
> head(fcast_arima_tbl1)
>
> # A tibble: 6 x 7
>   date       key    NetEditRev lo.80 lo.95 hi.80 hi.95
>   <date>     <chr>       <dbl> <dbl> <dbl> <dbl> <dbl>
> 1 2017-01-01 actual      -923.    NA    NA    NA    NA
> 2 2017-01-02 actual     19222.    NA    NA    NA    NA
> 3 2017-01-03 actual     -8397.    NA    NA    NA    NA
> 4 2017-01-04 actual     37697.    NA    NA    NA    NA
> 5 2017-01-05 actual     46075.    NA    NA    NA    NA
> 6 2017-01-06 actual     38329.    NA    NA    NA    NA
>
> str(fcast_arima_tbl1)
> Classes 'tbl_df', 'tbl' and 'data.frame':892 obs. of  7 variables:
>  $ date      : Date, format: "2017-01-01" "2017-01-02" "2017-01-03"
> "2017-01-04" ...
>  $ key       : chr  "actual" "actual" "actual" "actual" ...
>  $ NetEditRev: num  -923 19222 -8397 37697 46075 ...
>  $ lo.80     : num  NA NA NA NA NA NA NA NA NA NA ...
>  $ lo.95     : num  NA NA NA NA NA NA NA NA NA NA ...
>  $ hi.80     : num  NA NA NA NA NA NA NA NA NA NA ...
>  $ hi.95     : num  NA NA NA NA NA NA NA NA NA NA ...
>
> #Plot the model
>
> g4 <- fcast_arima_tbl1 %>%
>   ggplot(aes(date, NetEditRev, color = key)) +
>   geom_point(data = test_tbl %>% mutate(key = "actual")) +
>   geom_point(alpha = 0.5) +
>   theme_tq() +
>   scale_color_tq() +
>   labs(title = "ARIMA(1,0,2)(0,1,0 with Drift For Net Edit Revenue")
>
> g4
> # Don't know how to automatically pick scale for object of type function.
> Defaulting to continuous.
> # Error: All columns in a tibble must be 1d or 2d objects:
> # * Column `x` is function
>
> ggplotly(g4) %>%
>   layout(xaxis = list(rangeslider = list(type = "date")))
> # Don't know how to automatically pick scale for object of type function.
> Defaulting to continuous.
> # Error: All columns in a tibble must be 1d or 2d objects:
> # * Column `x` is function
>
>
> #Alternative changes that I have tried based on google searches, but have
> their own errors.
>
> # g4 <- fcast_arima_tbl1 %>%
> #   ggplot(aes(date, NetEditRev, color = key)) +
> #   geom_point(data = test_tbl %>% filter(key = "actual")) + #Try using
> filter
> #   geom_point(alpha = 0.5) +
> #   theme_tq() +
> #   scale_color_tq() +
> #   labs(title = "ARIMA(1,0,2)(0,1,0 with Drift For Net Edit Revenue")
> # #Error: `key` (`key = "actual"`) must not be named, do you need `==`?
> #
> # g4 <- fcast_arima_tbl1 %>%
> #   ggplot(aes(date, NetEditRev, color = key)) +
> #   geom_point(data = test_tbl %>% filter(key == "actual")) + #Try using
> filter with ==
> #   geom_point(alpha = 0.5) +
> #   theme_tq() +
> #   scale_color_tq() +
> #   labs(title = "ARIMA(1,0,2)(0,1,0 with Drift For Net Edit Revenue")
> # #Error: object 'key' not found
> #
> # g4 <- fcast_arima_tbl1 %>%
> #   ggplot(aes(date, NetEditRev, color = key)) +
> #   geom_point(data = test_tbl) +
> #   filter(fcast_arima_tbl1$key = "actual") + #Try filter with
> fcast_arima_tbl1$key and repositioned with +
> #   geom_point(alpha = 0.5) +
> #   theme_tq() +
> #   scale_color_tq() +
> #   labs(title = "ARIMA(1,0,2)(0,1,0 with Drift For Net Edit Revenue")
> # #Error: Cannot add ggproto objects together. Did you forget to add this
> object to a ggplot object?
>
>
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