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 <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?
>
>
> Confidentiality Notice This message is sent from Zelis. ...{{dropped:13}}
>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
