So I changed it to date2.
fcast_arima_tbl <- forecast(fit_arima2, h = nrow(test_tbl)) %>%
sw_sweep(timetk_idx = TRUE, rename_index = "date2")
head(fcast_arima_tbl,n=10)
# A tibble: 10 x 7
date2 key NetEditRev lo.80 lo.95 hi.80 hi.95 <------Date2
<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
7 2017-01-07 actual 3111. NA NA NA NA
8 2017-01-08 actual 21.4 NA NA NA NA
9 2017-01-09 actual 63570. NA NA NA NA
10 2017-01-10 actual 50777 NA NA NA NA
Then I save it
fcast_arima_tbl %>% write_rds("00_model/fcast_arima_tbl.rds")
Then I read it back out as fcast_arima_tbl1
fcast_arima_tbl1 <- read_rds("00_model/fcast_arima_tbl.rds")
head(fcast_arima_tbl1)
head(fcast_arima_tbl1, n=10)
# A tibble: 10 x 7
date2 key NetEditRev lo.80 lo.95 hi.80 hi.95 <------Date2
<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
7 2017-01-07 actual 3111. NA NA NA NA
8 2017-01-08 actual 21.4 NA NA NA NA
9 2017-01-09 actual 63570. NA NA NA NA
10 2017-01-10 actual 50777 NA NA NA NA
However, when I try the plot again I get new error? Error in FUN(X[[i]], ...) :
object 'date2' not found
fcast_arima_tbl1 %>%
+ ggplot(aes(date2, 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")
Error in FUN(X[[i]], ...) : object 'date2' not found
Now I remain confused
However, I sure appreciate everyone's time, thank you.
WHP
-----Original Message-----
From: Bill Poling
Sent: Saturday, June 15, 2019 4:00 PM
To: Rui Barradas <ruipbarra...@sapo.pt>; Richard M. Heiberger <r...@temple.edu>
Cc: r-help (r-help@r-project.org) <r-help@r-project.org>; Eric Berger
<ericjber...@gmail.com>; Bill Poling <bill.pol...@zelis.com>
Subject: RE: [R] Help with a third ggplot error
Oh, yikes! Rui you are right.
1st I do this:
fit_arima2 <- train_tbl %>%
tk_ts(select = NetEditRev, frequency = 364) %>%
Arima(order = c(1,0,2), #this may be arima not Arima?
seasonal=c(0,1,0),
include.drift = TRUE)
Then when I use the forecast and sweep function I changed it (I guess) to date
#Forecast with Sweep Functions----
fcast_arima_tbl <- forecast(fit_arima2, h = nrow(test_tbl)) %>%
sw_sweep(timetk_idx = TRUE, rename_index = "date") #sweep converts it to a DF
Let me go back in the code and see if I can fix that, I will let you know, UGH!
WHP
From: Rui Barradas <ruipbarra...@sapo.pt>
Sent: Saturday, June 15, 2019 3:51 PM
To: Bill Poling <bill.pol...@zelis.com>; Richard M. Heiberger <r...@temple.edu>
Cc: r-help (r-help@r-project.org) <r-help@r-project.org>
Subject: Re: [R] Help with a third ggplot error
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 <mailto:r...@temple.edu>
> Sent: Saturday, June 15, 2019 3:17 PM
> To: Bill Poling <mailto:bill.pol...@zelis.com>
> Cc: r-help (mailto:r-help@r-project.org) <mailto:r-help@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.pol...@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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