ERROR: Non-numeric argument in refitting ARIMA model in R
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I have built a ARIMA model with the following code:
fit = arima(PS_data,order=c(1,1,9))
Then, when i want to refit the built model above with a new dataset, problem comes and this error came out:
Error in abs(model$arma[c(3, 4, 7)]) : non-numeric argument to
mathematical function
I have tried to convert the new dataset to numeric type, but it still doesn't work. Any solution for to solve this issue?
Here's my code for refitting process:
Test.data <- import("Test_Data_set.csv")
Test.data$Quantity <- sapply(Test.data$Quantity,as.numeric)
class(Test.data$Quantity) #it shown "numeric"
refit <- Arima(Test.data$Quantity,model=fit) #error out from here
Thanks!!
r rstudio arima
asked Nov 10 at 20:10
jklove
14
add a comment |
up vote
-1
down vote
favorite
I have built a ARIMA model with the following code:
fit = arima(PS_data,order=c(1,1,9))
Then, when i want to refit the built model above with a new dataset, problem comes and this error came out:
Error in abs(model$arma[c(3, 4, 7)]) : non-numeric argument to
mathematical function
I have tried to convert the new dataset to numeric type, but it still doesn't work. Any solution for to solve this issue?
Here's my code for refitting process:
Test.data <- import("Test_Data_set.csv")
Test.data$Quantity <- sapply(Test.data$Quantity,as.numeric)
class(Test.data$Quantity) #it shown "numeric"
refit <- Arima(Test.data$Quantity,model=fit) #error out from here
Thanks!!
r rstudio arima
asked Nov 10 at 20:10
jklove
14
add a comment |
up vote
-1
down vote
favorite
up vote
-1
down vote
favorite
I have built a ARIMA model with the following code:
fit = arima(PS_data,order=c(1,1,9))
Then, when i want to refit the built model above with a new dataset, problem comes and this error came out:
Error in abs(model$arma[c(3, 4, 7)]) : non-numeric argument to
mathematical function
I have tried to convert the new dataset to numeric type, but it still doesn't work. Any solution for to solve this issue?
Here's my code for refitting process:
Test.data <- import("Test_Data_set.csv")
Test.data$Quantity <- sapply(Test.data$Quantity,as.numeric)
class(Test.data$Quantity) #it shown "numeric"
refit <- Arima(Test.data$Quantity,model=fit) #error out from here
Thanks!!
r rstudio arima
asked Nov 10 at 20:10
jklove
14
I have built a ARIMA model with the following code:
fit = arima(PS_data,order=c(1,1,9))
Then, when i want to refit the built model above with a new dataset, problem comes and this error came out:
Error in abs(model$arma[c(3, 4, 7)]) : non-numeric argument to
mathematical function
I have tried to convert the new dataset to numeric type, but it still doesn't work. Any solution for to solve this issue?
Here's my code for refitting process:
Test.data <- import("Test_Data_set.csv")
Test.data$Quantity <- sapply(Test.data$Quantity,as.numeric)
class(Test.data$Quantity) #it shown "numeric"
refit <- Arima(Test.data$Quantity,model=fit) #error out from here
Thanks!!
r rstudio arima
r rstudio arima
asked Nov 10 at 20:10
jklove
14
asked Nov 10 at 20:10
jklove
14
asked Nov 10 at 20:10
jklove
14
asked Nov 10 at 20:10
jklove
14
asked Nov 10 at 20:10
jklove
14
14
add a comment |
add a comment |
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