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2020-04-17 tc1518_M4SS - concerning warning message from run_computation #229
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This issue still occurs with ed0aed3. It has not been cleared as a side effect of other fixes. |
This issue still occurs with 9994c29. It has not been cleared as a side effect of other fixes to tc1518. |
The warning message no longer appears with latest commit cca452d. This issue can be closed. > paste(testcase.id, mct$MODEL, mct$DOSINGTYPE, mct$AUCMETHOD, mct$TIME, sep = ".")
[1] "tc1518.M4.SS.LINLOG.ACTUAL"
>
> #### Run computation engine ---------------------------------------------- ####
> ### Run computation
> # pretime <- Sys.time()
> results_list <- run_computation(data = d, map = mct, flag = flags,
+ parameterset = parameterset)
openNCA computation engine version 2.0.0
Computation Run Date/Time: 2020-08-28 14:19:51
unit_conversion : Unit Class 1 (Time) time_col: TMAXRATE MIDPTLAST TMAXRATE1 MIDPTLAST1 TLAG KELTMLO KELTMHI THALF MIDPT1 MIDPT2 TAU1 TOLD1 parameters are scaled from HR to HR via scaling factor: 1
unit_conversion : Unit Class 2 (Amount) amount_col: AMT.4.17 AMT.6.03 AMT.6.52 AMT.7.28 AMT.9.50 AMT.9.60 AMT.9.75 AMT.9.90 AMT.9.92 AMT.10.00 AMT.10.05 AMT.10.10 AMT.10.38 AMT.10.50 AMT.10.57 AMT.10.73 AMT.10.87 AMT.10.92 AMT.11.38 AMT.11.43 AMT.11.48 AMT.11.55 AMT.11.77 AMT.11.85 AMT.11.87 AMT.11.88 AMT.11.90 AMT.11.93 AMT.12.00 AMT.15.90 AMT.20.88 AMT.21.98 AMT.22.57 AMT.22.58 AMT.22.60 AMT.22.63 AMT.22.65 AMT.22.80 AMT.22.82 AMT.22.87 AMT.23.03 AMT.23.12 AMT.23.20 AMT.23.35 AMT.23.42 AMT.23.75 AMT.23.77 AMT.23.85 AMT.23.88 AMT.23.92 AMT.24.28 AE.4.17 AE.6.03 AE.6.52 AE.7.28 AE.9.50 AE.9.60 AE.9.75 AE.9.90 AE.9.92 AE.10.00 AE.10.05 AE.10.10 AE.10.38 AE.10.50 AE.10.57 AE.10.73 AE.10.87 AE.10.92 AE.11.38 AE.11.43 AE.11.48 AE.11.55 AE.11.77 AE.11.85 AE.11.87 AE.11.88 AE.11.90 AE.11.93 AE.12.00 AE.15.90 AE.20.88 AE.21.98 AE.22.57 AE.22.58 AE.22.60 AE.22.63 AE.22.65 AE.22.80 AE.22.82 AE.22.87 AE.23.03 AE.23.12 AE.23.20 AE.23.35 AE.23.42 AE.23.75 AE.23.77 AE.23.85 AE.23.88 AE.23.92 AE.24.28 AE AETAU1 parameters are scaled from NG to MG via scaling factor: 1e-06
unit_conversion : Unit Class 3 (Dose) dose_col: DOSE1 parameters are scaled from MG to MG via scaling factor: 1
unit_conversion : Unit Class 4 (Volume) volume_col: VOLSUM parameters are scaled from ML to L via scaling factor: 0.001
unit_conversion : Unit Class 6 (1/Time) kel_col: KEL parameters are scaled from 1/HR to 1/HR via scaling factor: 1
unit_conversion : Unit Class 11: ([Volume.Amount]/Volume) aurc_col: AURCALL AURCLAST AURC1 AURC2 AURC0_12 AURCINFO AURCINFP parameters are scaled from ML.NG/ML to ML.UG/ML via scaling factor: 0.001
unit_conversion : Unit Class 13: (Amount/Time) rate_col: MAXRATE RATELAST MAXRATE1 RATELAST1 RATE1 RATE2 parameters are scaled from NG/HR to UG/HR via scaling factor: 0.001
Warning messages:
1: In run_computation(data = d, map = mct, flag = flags, parameterset = parameterset) :
Map 'OPTMIZEKEL' does not have a valid value! Not using KEL optmization for this computation
2: In run_computation(data = d, map = mct, flag = flags, parameterset = parameterset) :
'TAUs and TOLDs values are not provided via 'flag'! Using values provided via 'data' instead (if present)!
3: In run_M4_SS_computation(data = merged_data, map = map_data, method = method, :
Flag 'FLGACCEPTKELCRIT' values provided via 'map' does not have a valid parameter name 'AUCXPCTP'
4: In run_M4_SS_computation(data = merged_data, map = map_data, method = method, :
Map 'OPTIMIZEKEL' does not have a valid value! Not using KEL optimization for this computation
5: In run_M4_SS_computation(data = merged_data, map = map_data, method = method, :
Flag 'FLGACCEPTKELCRIT' values provided via 'map' does not have a parameter name that is generated as an output 'KELRSQ'Flag 'FLGACCEPTKELCRIT' values provided via 'map' does not have a parameter name that is generated as an output 'KELNOPT'Flag 'FLGACCEPTKELCRIT' values provided via 'map' does not have a parameter name that is generated as an output 'KEL'
6: In unit_conversion(data = data_data, map = map_data, result = computation_df, :
'PKATPDU', 'PKCNCU' and 'DOSEUNI' #8# are not present in the dataset provided via 'map'
7: In unit_conversion(data = data_data, map = map_data, result = computation_df, :
'CONCU' #24# is not present in the dataset provided via 'map'
8: In unit_conversion(data = data_data, map = map_data, result = computation_df, :
'PKCNCU' and '' #14# are not present in the dataset provided via 'map'
9: In unit_conversion(data = data_data, map = map_data, result = computation_df, :
'PKCNCU', 'PKATPDU and '' #19# are not present in the dataset provided via 'map' |
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test case data for tc1518_M4SS is available on one drive
execution with commit b1c7cff
run_computation is generating a warning message that is quite concerning that there is something not correct in managing a time vector.
The text was updated successfully, but these errors were encountered: