Autoplot plots ONLY the forecast for ETS using fable for time series in R
I've been playing around with forecast, fable, and tibble, and was working through Rob Hyndman's examples HERE. When I get to the end of the "auscafe" example, the autoplot that comes out is ONLY for the forecast, not the original plot PLUS the forecast as shown (and expected).
What am I missing here?
library(fpp2)
library(tsibble)
library(fable)
data("auscafe")
# Make auscafe a tsibble and confirm
cafe <- as_tsibble(auscafe)
cafe
# Take a look
autoplot(cafe)
# ETS model noodling after Hyndman's 2018 presentation
# https://robjhyndman.com/seminars/isf-fable/
cafe %>% ETS(value) %>% summary
cafe %>% ETS(value) %>% forecast() %>% summary()
cafe %>% ETS(value) %>% forecast() %>% summary(level=90)
# See Hyndman slide 11: He gets the original series PLUS the forecast
# When I run this, I get a plot of ONLY the forecast,
# i.e., 2008-07 to 2010-07
cafe %>% ETS(value) %>% forecast() %>% autoplot()
r timeserieschart fable
asked Dec 31 '18 at 18:39
StephSteph
415
add a comment |
I've been playing around with forecast, fable, and tibble, and was working through Rob Hyndman's examples HERE. When I get to the end of the "auscafe" example, the autoplot that comes out is ONLY for the forecast, not the original plot PLUS the forecast as shown (and expected).
What am I missing here?
library(fpp2)
library(tsibble)
library(fable)
data("auscafe")
# Make auscafe a tsibble and confirm
cafe <- as_tsibble(auscafe)
cafe
# Take a look
autoplot(cafe)
# ETS model noodling after Hyndman's 2018 presentation
# https://robjhyndman.com/seminars/isf-fable/
cafe %>% ETS(value) %>% summary
cafe %>% ETS(value) %>% forecast() %>% summary()
cafe %>% ETS(value) %>% forecast() %>% summary(level=90)
# See Hyndman slide 11: He gets the original series PLUS the forecast
# When I run this, I get a plot of ONLY the forecast,
# i.e., 2008-07 to 2010-07
cafe %>% ETS(value) %>% forecast() %>% autoplot()
r timeserieschart fable
asked Dec 31 '18 at 18:39
StephSteph
415
thanks for bringing this issue up. I've tried using some of these packages in the past, and I think that they are still in the developmental stages. I know it's not much of an answer for now (I couldn't even get tsibble correctly installed on my computer today), but maybe someone else will have one soon.
– shuckle
Dec 31 '18 at 22:49
1
Yep. I also had to try a couple of times to get tsibble installed. I found that restarting the R session helped, as does detaching all other packages. I'm also having trouble with the ARIMA function in fable throwing inexplicable errors. There seems to be some "arguing" when you have forecast and fable loaded at the same time. Harumf. Oh well, all part of the process I guess.
– Steph
Dec 31 '18 at 23:20
add a comment |
I've been playing around with forecast, fable, and tibble, and was working through Rob Hyndman's examples HERE. When I get to the end of the "auscafe" example, the autoplot that comes out is ONLY for the forecast, not the original plot PLUS the forecast as shown (and expected).
What am I missing here?
library(fpp2)
library(tsibble)
library(fable)
data("auscafe")
# Make auscafe a tsibble and confirm
cafe <- as_tsibble(auscafe)
cafe
# Take a look
autoplot(cafe)
# ETS model noodling after Hyndman's 2018 presentation
# https://robjhyndman.com/seminars/isf-fable/
cafe %>% ETS(value) %>% summary
cafe %>% ETS(value) %>% forecast() %>% summary()
cafe %>% ETS(value) %>% forecast() %>% summary(level=90)
# See Hyndman slide 11: He gets the original series PLUS the forecast
# When I run this, I get a plot of ONLY the forecast,
# i.e., 2008-07 to 2010-07
cafe %>% ETS(value) %>% forecast() %>% autoplot()
r timeserieschart fable
asked Dec 31 '18 at 18:39
StephSteph
415
I've been playing around with forecast, fable, and tibble, and was working through Rob Hyndman's examples HERE. When I get to the end of the "auscafe" example, the autoplot that comes out is ONLY for the forecast, not the original plot PLUS the forecast as shown (and expected).
What am I missing here?
library(fpp2)
library(tsibble)
library(fable)
data("auscafe")
# Make auscafe a tsibble and confirm
cafe <- as_tsibble(auscafe)
cafe
# Take a look
autoplot(cafe)
# ETS model noodling after Hyndman's 2018 presentation
# https://robjhyndman.com/seminars/isf-fable/
cafe %>% ETS(value) %>% summary
cafe %>% ETS(value) %>% forecast() %>% summary()
cafe %>% ETS(value) %>% forecast() %>% summary(level=90)
# See Hyndman slide 11: He gets the original series PLUS the forecast
# When I run this, I get a plot of ONLY the forecast,
# i.e., 2008-07 to 2010-07
cafe %>% ETS(value) %>% forecast() %>% autoplot()
r timeserieschart fable
r timeserieschart fable
asked Dec 31 '18 at 18:39
StephSteph
415
asked Dec 31 '18 at 18:39
StephSteph
415
asked Dec 31 '18 at 18:39
StephSteph
415
asked Dec 31 '18 at 18:39
StephSteph
415
asked Dec 31 '18 at 18:39
StephSteph
415
415
thanks for bringing this issue up. I've tried using some of these packages in the past, and I think that they are still in the developmental stages. I know it's not much of an answer for now (I couldn't even get tsibble correctly installed on my computer today), but maybe someone else will have one soon.
– shuckle
Dec 31 '18 at 22:49
1
Yep. I also had to try a couple of times to get tsibble installed. I found that restarting the R session helped, as does detaching all other packages. I'm also having trouble with the ARIMA function in fable throwing inexplicable errors. There seems to be some "arguing" when you have forecast and fable loaded at the same time. Harumf. Oh well, all part of the process I guess.
– Steph
Dec 31 '18 at 23:20
add a comment |
thanks for bringing this issue up. I've tried using some of these packages in the past, and I think that they are still in the developmental stages. I know it's not much of an answer for now (I couldn't even get tsibble correctly installed on my computer today), but maybe someone else will have one soon.
– shuckle
Dec 31 '18 at 22:49
1
Yep. I also had to try a couple of times to get tsibble installed. I found that restarting the R session helped, as does detaching all other packages. I'm also having trouble with the ARIMA function in fable throwing inexplicable errors. There seems to be some "arguing" when you have forecast and fable loaded at the same time. Harumf. Oh well, all part of the process I guess.
– Steph
Dec 31 '18 at 23:20
thanks for bringing this issue up. I've tried using some of these packages in the past, and I think that they are still in the developmental stages. I know it's not much of an answer for now (I couldn't even get tsibble correctly installed on my computer today), but maybe someone else will have one soon.
– shuckle
Dec 31 '18 at 22:49
thanks for bringing this issue up. I've tried using some of these packages in the past, and I think that they are still in the developmental stages. I know it's not much of an answer for now (I couldn't even get tsibble correctly installed on my computer today), but maybe someone else will have one soon.
– shuckle
Dec 31 '18 at 22:49
1
1
Yep. I also had to try a couple of times to get tsibble installed. I found that restarting the R session helped, as does detaching all other packages. I'm also having trouble with the ARIMA function in fable throwing inexplicable errors. There seems to be some "arguing" when you have forecast and fable loaded at the same time. Harumf. Oh well, all part of the process I guess.
– Steph
Dec 31 '18 at 23:20
Yep. I also had to try a couple of times to get tsibble installed. I found that restarting the R session helped, as does detaching all other packages. I'm also having trouble with the ARIMA function in fable throwing inexplicable errors. There seems to be some "arguing" when you have forecast and fable loaded at the same time. Harumf. Oh well, all part of the process I guess.
– Steph
Dec 31 '18 at 23:20
add a comment |
1 Answer
1
active
oldest
votes
I also posted this on the tidyverts/fable git repo and got this excellent response from Mitchell O'Hara-Wild:
Since the presentation the package has undergone several changes as we
figure out the best way to implement the features.
At the time of the presentation, the fable package was simply a
wrapper to the forecast package, and so fable::ARIMA would call
forecast::auto.arima. Since then, the ARIMA method has been
re-implemented from scratch, and as the error states, currently does
not support selection of differences. For now, the order of
integration must be specified with model specials. For example,
pdq(d=1) + PDQ(D=1) would include both a seasonal and non-seasonal
difference. This functionality will be added in the near future.
We've also changed how forecasts work. Forecasts now contain only
future predicted values, and so the data used to train the model is no
longer included. The historical data for the forecasts can be included
by providing the data as the first argument to autoplot.
prison %>% ETS(count) %>% forecast() %>% autoplot(prison)
answered Jan 1 at 15:31
StephSteph
415
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53990482%2fautoplot-plots-only-the-forecast-for-ets-using-fable-for-time-series-in-r%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I also posted this on the tidyverts/fable git repo and got this excellent response from Mitchell O'Hara-Wild:
Since the presentation the package has undergone several changes as we
figure out the best way to implement the features.
At the time of the presentation, the fable package was simply a
wrapper to the forecast package, and so fable::ARIMA would call
forecast::auto.arima. Since then, the ARIMA method has been
re-implemented from scratch, and as the error states, currently does
not support selection of differences. For now, the order of
integration must be specified with model specials. For example,
pdq(d=1) + PDQ(D=1) would include both a seasonal and non-seasonal
difference. This functionality will be added in the near future.
We've also changed how forecasts work. Forecasts now contain only
future predicted values, and so the data used to train the model is no
longer included. The historical data for the forecasts can be included
by providing the data as the first argument to autoplot.
prison %>% ETS(count) %>% forecast() %>% autoplot(prison)
answered Jan 1 at 15:31
StephSteph
415
add a comment |
I also posted this on the tidyverts/fable git repo and got this excellent response from Mitchell O'Hara-Wild:
Since the presentation the package has undergone several changes as we
figure out the best way to implement the features.
At the time of the presentation, the fable package was simply a
wrapper to the forecast package, and so fable::ARIMA would call
forecast::auto.arima. Since then, the ARIMA method has been
re-implemented from scratch, and as the error states, currently does
not support selection of differences. For now, the order of
integration must be specified with model specials. For example,
pdq(d=1) + PDQ(D=1) would include both a seasonal and non-seasonal
difference. This functionality will be added in the near future.
We've also changed how forecasts work. Forecasts now contain only
future predicted values, and so the data used to train the model is no
longer included. The historical data for the forecasts can be included
by providing the data as the first argument to autoplot.
prison %>% ETS(count) %>% forecast() %>% autoplot(prison)
answered Jan 1 at 15:31
StephSteph
415
add a comment |
I also posted this on the tidyverts/fable git repo and got this excellent response from Mitchell O'Hara-Wild:
Since the presentation the package has undergone several changes as we
figure out the best way to implement the features.
At the time of the presentation, the fable package was simply a
wrapper to the forecast package, and so fable::ARIMA would call
forecast::auto.arima. Since then, the ARIMA method has been
re-implemented from scratch, and as the error states, currently does
not support selection of differences. For now, the order of
integration must be specified with model specials. For example,
pdq(d=1) + PDQ(D=1) would include both a seasonal and non-seasonal
difference. This functionality will be added in the near future.
We've also changed how forecasts work. Forecasts now contain only
future predicted values, and so the data used to train the model is no
longer included. The historical data for the forecasts can be included
by providing the data as the first argument to autoplot.
prison %>% ETS(count) %>% forecast() %>% autoplot(prison)
answered Jan 1 at 15:31
StephSteph
415
I also posted this on the tidyverts/fable git repo and got this excellent response from Mitchell O'Hara-Wild:
Since the presentation the package has undergone several changes as we
figure out the best way to implement the features.
At the time of the presentation, the fable package was simply a
wrapper to the forecast package, and so fable::ARIMA would call
forecast::auto.arima. Since then, the ARIMA method has been
re-implemented from scratch, and as the error states, currently does
not support selection of differences. For now, the order of
integration must be specified with model specials. For example,
pdq(d=1) + PDQ(D=1) would include both a seasonal and non-seasonal
difference. This functionality will be added in the near future.
We've also changed how forecasts work. Forecasts now contain only
future predicted values, and so the data used to train the model is no
longer included. The historical data for the forecasts can be included
by providing the data as the first argument to autoplot.
prison %>% ETS(count) %>% forecast() %>% autoplot(prison)
answered Jan 1 at 15:31
StephSteph
415
answered Jan 1 at 15:31
StephSteph
415
answered Jan 1 at 15:31
StephSteph
415
answered Jan 1 at 15:31
StephSteph
415
415
add a comment |
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53990482%2fautoplot-plots-only-the-forecast-for-ets-using-fable-for-time-series-in-r%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
thanks for bringing this issue up. I've tried using some of these packages in the past, and I think that they are still in the developmental stages. I know it's not much of an answer for now (I couldn't even get tsibble correctly installed on my computer today), but maybe someone else will have one soon.
– shuckle
Dec 31 '18 at 22:49
1
Yep. I also had to try a couple of times to get tsibble installed. I found that restarting the R session helped, as does detaching all other packages. I'm also having trouble with the ARIMA function in fable throwing inexplicable errors. There seems to be some "arguing" when you have forecast and fable loaded at the same time. Harumf. Oh well, all part of the process I guess.
– Steph
Dec 31 '18 at 23:20