[R] Help with a third ggplot error

[Rui Barradas]

Hello,

Inline.

Às 20:29 de 15/06/19, Bill Poling escreveu:
> Hello Richard, thank you for your response.
> 
> Here is what I get with your suggestion, however, I am unsure of what I am looking at, perhaps you can interpret.
> 
> I sure appreciate your help Sir!
> 
> g4 <- fcast_arima_tbl1 %>%
>    ggplot(aes(date, NetEditRev, color = key)) + #Now date due to sweep
>    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

Isn't column 'x' Date or Date2, with upper case 'D'?
You have date, a function:

R> date
function ()
.Internal(date())
<bytecode: 0x6c8a9b8>
<environment: namespace:base>


Hope this helps,

Rui Barradas



> 
> 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
> 
> #Call
>    rlang::last_error()
> #to see a backtrace you will have to figure out which of your variables is not properly specified.
> 
>    1. (function (x, ...) ...
>    2. ggplot2:::print.ggplot(x)
>    4. ggplot2:::ggplot_build.ggplot(x)
>    5. ggplot2:::by_layer(function(l, d) l$compute_aesthetics(d, plot))
>    6. ggplot2:::f(l = layers[[i]], d = data[[i]])
>    7. l$compute_aesthetics(d, plot)
>    8. ggplot2:::f(..., self = self)
>    9. ggplot2:::as_gg_data_frame(evaled)
>   12. tibble:::as_tibble.list(x)
>   13. tibble:::lst_to_tibble(x, .rows, .name_repair, col_lengths(x))
>   14. tibble:::check_valid_cols(x)
> 
> From: Richard M. Heiberger <rmh using temple.edu>
> Sent: Saturday, June 15, 2019 3:17 PM
> To: Bill Poling <Bill.Poling using zelis.com>
> Cc: r-help (r-help using r-project.org) <r-help using r-project.org>
> Subject: Re: [R] Help with a third ggplot error
> 
> you did something like this:
> 
>> mydf <- data.frame(y=1:16,
> + AA=rep(factor(letters[1:8]), 2),
> + BB=rep(factor(LETTERS[12:13]), each=8),
> + CC=rep(factor(rep(LETTERS[9:11], times=c(3,1,4))), 2))
>> ggplot(mydf, aes(ls, y))
> 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
> Call `rlang::last_error()` to see a backtrace
>>
> 
> you will have to figure out which of your variables is not properly specified.
> 
> Rich
> 
> On Fri, Jun 14, 2019 at 3:30 PM Bill Poling <mailto: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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