#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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