View source: R/predictScenarios.R
Executes tasks for the management source-change scenarios, including generating
load predictions for the scenario, saving the predictions to the 'predictScenarios.list', and
executing the mapping function 'predictMaps'.
Executed By:
interactiveBatchRun.R
controlFileTasksModel.R
goShinyPlot.R
Executes Routines:
batchMaps.R
named.list.R
outputSettings.R
predictMaps.R
predictScenariosOutCSV.R
predictScenariosPrep.R
unPackList.R
deliv_fraction.for
mptnoder.for
ptnoder.for
1 2 3 4 5 | predictScenarios(input, allMetrics, output_map_type, Rshiny,
estimate.input.list, predict.list, scenario.input.list, data_names,
JacobResults, if_predict, DataMatrix.list, SelParmValues, subdata,
file.output.list, add_vars, mapping.input.list, batch_mode,
RSPARROW_errorOption)
|
input |
top level interactive user input in Shiny app |
allMetrics |
character string of all load, yield, uncertainty, and data dictionary variables to map in shiny batch mode |
output_map_type |
character string control setting to identify type of map(s) to output to PDF file from "stream","catchment", or "both" |
Rshiny |
TRUE/FALSE indicating whether routine is being run from the Shiny app |
data_names |
data.frame of variable metadata from data_Dictionary.csv file |
JacobResults |
list output of Jacobian first-order partial derivatives of the model
residuals |
if_predict |
yes/no indicating whether or not prediction is run |
SelParmValues |
selected parameters from parameters.csv using condition
|
subdata |
data.frame input data (subdata) |
add_vars |
additional variables specified by the setting |
batch_mode |
yes/no character string indicating whether RSPARROW is being run in batch mode |
RSPARROW_errorOption |
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