R forecast autoplot or hchart
up vote
0
down vote
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would like to do multiple arima time series plot for each - Cooked and market - as shown in the image below. Have tried both autoplot and hchart but both does not work. Please advise and assist. Any help would be very much appreciated.
forecast1<-ts(lapply(arima, function(x) forecast(auto.arima(x), level=95)))
autoplot(forecast1)
hchart(forecast1)
r highcharts arima forecast
edited Nov 9 at 22:21
s_t
2,9552928
asked Nov 9 at 16:02
Joyce
12
add a comment |
up vote
0
down vote
favorite
would like to do multiple arima time series plot for each - Cooked and market - as shown in the image below. Have tried both autoplot and hchart but both does not work. Please advise and assist. Any help would be very much appreciated.
forecast1<-ts(lapply(arima, function(x) forecast(auto.arima(x), level=95)))
autoplot(forecast1)
hchart(forecast1)
r highcharts arima forecast
edited Nov 9 at 22:21
s_t
2,9552928
asked Nov 9 at 16:02
Joyce
12
2
Right now we can't tell exactly what your problem is or what you want your finished chart to look like - could you please edit your question to include reproducible data, specify what you mean by "does not work" (error message? or plot doesn't look as expected?), and show us what you want the plot to look like.
– Jan Boyer
Nov 9 at 16:29
Need a lot more info
– jlbriggs
Nov 11 at 18:17
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
would like to do multiple arima time series plot for each - Cooked and market - as shown in the image below. Have tried both autoplot and hchart but both does not work. Please advise and assist. Any help would be very much appreciated.
forecast1<-ts(lapply(arima, function(x) forecast(auto.arima(x), level=95)))
autoplot(forecast1)
hchart(forecast1)
r highcharts arima forecast
edited Nov 9 at 22:21
s_t
2,9552928
asked Nov 9 at 16:02
Joyce
12
would like to do multiple arima time series plot for each - Cooked and market - as shown in the image below. Have tried both autoplot and hchart but both does not work. Please advise and assist. Any help would be very much appreciated.
forecast1<-ts(lapply(arima, function(x) forecast(auto.arima(x), level=95)))
autoplot(forecast1)
hchart(forecast1)
r highcharts arima forecast
r highcharts arima forecast
edited Nov 9 at 22:21
s_t
2,9552928
asked Nov 9 at 16:02
Joyce
12
edited Nov 9 at 22:21
s_t
2,9552928
asked Nov 9 at 16:02
Joyce
12
edited Nov 9 at 22:21
s_t
2,9552928
edited Nov 9 at 22:21
s_t
2,9552928
edited Nov 9 at 22:21
s_t
2,9552928
2,9552928
asked Nov 9 at 16:02
Joyce
12
asked Nov 9 at 16:02
Joyce
12
asked Nov 9 at 16:02
Joyce
12
12
2
Right now we can't tell exactly what your problem is or what you want your finished chart to look like - could you please edit your question to include reproducible data, specify what you mean by "does not work" (error message? or plot doesn't look as expected?), and show us what you want the plot to look like.
– Jan Boyer
Nov 9 at 16:29
Need a lot more info
– jlbriggs
Nov 11 at 18:17
add a comment |
2
Right now we can't tell exactly what your problem is or what you want your finished chart to look like - could you please edit your question to include reproducible data, specify what you mean by "does not work" (error message? or plot doesn't look as expected?), and show us what you want the plot to look like.
– Jan Boyer
Nov 9 at 16:29
Need a lot more info
– jlbriggs
Nov 11 at 18:17
2
2
Right now we can't tell exactly what your problem is or what you want your finished chart to look like - could you please edit your question to include reproducible data, specify what you mean by "does not work" (error message? or plot doesn't look as expected?), and show us what you want the plot to look like.
– Jan Boyer
Nov 9 at 16:29
Right now we can't tell exactly what your problem is or what you want your finished chart to look like - could you please edit your question to include reproducible data, specify what you mean by "does not work" (error message? or plot doesn't look as expected?), and show us what you want the plot to look like.
– Jan Boyer
Nov 9 at 16:29
Need a lot more info
– jlbriggs
Nov 11 at 18:17
Need a lot more info
– jlbriggs
Nov 11 at 18:17
add a comment |
1 Answer
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I took the step of turning the data into a time series before using the forecast algorithm. Then printing the chart is just a matter of using apply on the new list that is generated. Please see the code below.
Year <- seq(2012, 2018)
Cooked <- c(157.4, 157.2, 168.8, 192.3, 201.8, 233.4, 241.2)
Market <- c(51.7, 44.9, 49.5, 53.6, 57.2, 54.1, 53.5)
df <- as.data.frame(cbind(Year, Cooked, Market))
ts_df <- ts(df[, -1], start = 2012, frequency = 1)
library(forecast)
forecast1<-lapply(ts_df, function(x) forecast(auto.arima(x), level=95))
lapply(forecast1, function(x) autoplot(x))
I recommend in future questions, putting the data together in a similar script to help us help you.
answered Nov 9 at 16:42
Richard Lusch
421416
add a comment |
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
I took the step of turning the data into a time series before using the forecast algorithm. Then printing the chart is just a matter of using apply on the new list that is generated. Please see the code below.
Year <- seq(2012, 2018)
Cooked <- c(157.4, 157.2, 168.8, 192.3, 201.8, 233.4, 241.2)
Market <- c(51.7, 44.9, 49.5, 53.6, 57.2, 54.1, 53.5)
df <- as.data.frame(cbind(Year, Cooked, Market))
ts_df <- ts(df[, -1], start = 2012, frequency = 1)
library(forecast)
forecast1<-lapply(ts_df, function(x) forecast(auto.arima(x), level=95))
lapply(forecast1, function(x) autoplot(x))
I recommend in future questions, putting the data together in a similar script to help us help you.
answered Nov 9 at 16:42
Richard Lusch
421416
add a comment |
up vote
0
down vote
I took the step of turning the data into a time series before using the forecast algorithm. Then printing the chart is just a matter of using apply on the new list that is generated. Please see the code below.
Year <- seq(2012, 2018)
Cooked <- c(157.4, 157.2, 168.8, 192.3, 201.8, 233.4, 241.2)
Market <- c(51.7, 44.9, 49.5, 53.6, 57.2, 54.1, 53.5)
df <- as.data.frame(cbind(Year, Cooked, Market))
ts_df <- ts(df[, -1], start = 2012, frequency = 1)
library(forecast)
forecast1<-lapply(ts_df, function(x) forecast(auto.arima(x), level=95))
lapply(forecast1, function(x) autoplot(x))
I recommend in future questions, putting the data together in a similar script to help us help you.
answered Nov 9 at 16:42
Richard Lusch
421416
add a comment |
up vote
0
down vote
up vote
0
down vote
I took the step of turning the data into a time series before using the forecast algorithm. Then printing the chart is just a matter of using apply on the new list that is generated. Please see the code below.
Year <- seq(2012, 2018)
Cooked <- c(157.4, 157.2, 168.8, 192.3, 201.8, 233.4, 241.2)
Market <- c(51.7, 44.9, 49.5, 53.6, 57.2, 54.1, 53.5)
df <- as.data.frame(cbind(Year, Cooked, Market))
ts_df <- ts(df[, -1], start = 2012, frequency = 1)
library(forecast)
forecast1<-lapply(ts_df, function(x) forecast(auto.arima(x), level=95))
lapply(forecast1, function(x) autoplot(x))
I recommend in future questions, putting the data together in a similar script to help us help you.
answered Nov 9 at 16:42
Richard Lusch
421416
I took the step of turning the data into a time series before using the forecast algorithm. Then printing the chart is just a matter of using apply on the new list that is generated. Please see the code below.
Year <- seq(2012, 2018)
Cooked <- c(157.4, 157.2, 168.8, 192.3, 201.8, 233.4, 241.2)
Market <- c(51.7, 44.9, 49.5, 53.6, 57.2, 54.1, 53.5)
df <- as.data.frame(cbind(Year, Cooked, Market))
ts_df <- ts(df[, -1], start = 2012, frequency = 1)
library(forecast)
forecast1<-lapply(ts_df, function(x) forecast(auto.arima(x), level=95))
lapply(forecast1, function(x) autoplot(x))
I recommend in future questions, putting the data together in a similar script to help us help you.
answered Nov 9 at 16:42
Richard Lusch
421416
answered Nov 9 at 16:42
Richard Lusch
421416
answered Nov 9 at 16:42
Richard Lusch
421416
answered Nov 9 at 16:42
Richard Lusch
421416
421416
add a comment |
add a comment |
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2
Right now we can't tell exactly what your problem is or what you want your finished chart to look like - could you please edit your question to include reproducible data, specify what you mean by "does not work" (error message? or plot doesn't look as expected?), and show us what you want the plot to look like.
– Jan Boyer
Nov 9 at 16:29
Need a lot more info
– jlbriggs
Nov 11 at 18:17