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While running the analysis with a time series dataset from a single individual, the following error occurred:
Calculate the 1th Component
Convergence reached at dif=3.40063312288588e-05, iter=2
Calculate the 2th Component
Convergence reached at dif=5.20076785560057e-05, iter=4
Error in data.frame(value = as.vector(tensor_est_agg[i, , ]), subID = rep(dimnames(tensor_est_agg)[[2]], :
argument implies differing number of rows: 51, 0, 1
This error seems to be related to the mismatch in the number of rows when creating a data.frame. The specific issue appears to be caused by dimensions within the tensor_est_agg object, which results in inconsistent row counts.
Please advise on how to resolve this issue when working with time series data for only one individual.
The text was updated successfully, but these errors were encountered:
Hi! Thanks for your interest in our method! Unfortunately TEMPTED is aimed at multi-subject longitudinal data. There are other methods suitable for time series data from a single subject.
Description:
While running the analysis with a time series dataset from a single individual, the following error occurred:
This error seems to be related to the mismatch in the number of rows when creating a
data.frame
. The specific issue appears to be caused by dimensions within thetensor_est_agg
object, which results in inconsistent row counts.Please advise on how to resolve this issue when working with time series data for only one individual.
The text was updated successfully, but these errors were encountered: