An error occurred while fitting the model to the simulated data. Could you help me troubleshoot this issue?
The errors are as follows:
Filtering for all-zero features/samples…
Data appears to be count table. Fitting library size distribution…
Fitting EM algorithm…
EM iteration 1
Error in if ((slope1 <= slopes[2] & slopes[2] <= slope2) | (slope1 >= :
missing value where TRUE/FALSE needed
Calls: system.time … resolve.list → signalConditionsASAP → signalConditions
In addition: Warning messages:
1: UNRELIABLE VALUE: One of the ‘future.apply’ iterations (‘future_vapply-1’) unexpectedly generated random numbers without declaring so. There is a risk that those random numbers are not statistically sound and the overall results might be invalid. To fix this, specify ‘future.seed=TRUE’. This ensures that proper, parallel-safe random numbers are produced via the L’Ecuyer-CMRG method. To disable this check, use ‘future.seed = NULL’, or set option ‘future.rng.onMisuse’ to “ignore”.
2: UNRELIABLE VALUE: One of the ‘future.apply’ iterations (‘future_vapply-2’) unexpectedly generated random numbers without declaring so. There is a risk that those random numbers are not statistically sound and the overall results might be invalid. To fix this, specify ‘future.seed=TRUE’. This ensures that proper, parallel-safe random numbers are produced via the L’Ecuyer-CMRG method. To disable this check, use ‘future.seed = NULL’, or set option ‘future.rng.onMisuse’ to “ignore”.
3: UNRELIABLE VALUE: One of the ‘future.apply’ iterations (‘future_vapply-3’) unexpectedly generated random numbers without declaring so. There is a risk that those random numbers are not statistically sound and the overall results might be invalid. To fix this, specify ‘future.seed=TRUE’. This ensures that proper, parallel-safe random numbers are produced via the L’Ecuyer-CMRG method. To disable this check, use ‘future.seed = NULL’, or set option ‘future.rng.onMisuse’ to “ignore”.
4: UNRELIABLE VALUE: One of the ‘future.apply’ iterations (‘future_vapply-4’) unexpectedly generated random numbers without declaring so. There is a risk that those random numbers are not statistically sound and the overall results might be invalid. To fix this, specify ‘future.seed=TRUE’. This ensures that proper, parallel-safe random numbers are produced via the L’Ecuyer-CMRG method. To disable this check, use ‘future.seed = NULL’, or set option ‘future.rng.onMisuse’ to “ignore”.
5: UNRELIABLE VALUE: One of the ‘future.apply’ iterations (‘future_vapply-5’) unexpectedly generated random numbers without declaring so. There is a risk that those random numbers are not statistically sound and the overall results might be invalid. To fix this, specify ‘future.seed=TRUE’. This ensures that proper, parallel-safe random numbers are produced via the L’Ecuyer-CMRG method. To disable this check, use ‘future.seed = NULL’, or set option ‘future.rng.onMisuse’ to “ignore”.
6: UNRELIABLE VALUE: One of the ‘future.apply’ iterations (‘future_vapply-6’) unexpectedly generated random numbers without declaring so. There is a risk that those random numbers are not statistically sound and the overall results might be invalid. To fix this, specify ‘future.seed=TRUE’. This ensures that proper, parallel-safe random numbers are produced via the L’Ecuyer-CMRG method. To disable this check, use ‘future.seed = NULL’, or set option ‘future.rng.onMisuse’ to “ignore”.