Forecasting

Hi, great piece of software,

All other models work, except this one, probably with the ts code part.

Posting the error message file here:

Error Message:

Erro de script do R.
Loading required package: scales
Loading required package: forecast
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

as.Date, as.Date.numeric

Loading required package: timeDate
Loading required package: methods
This is forecast 7.1

Error in if (frequency > 1 && abs(frequency - round(frequency)) < ts.eps) frequency <- round(frequency) :
missing value where TRUE/FALSE needed
Calls: ts
Execution halted

Stack Trace:

Invocation Stack Trace:

ID de atividade
e5ab37b4-ff68-4eeb-9ac7-d3cc346b8037

Hora
Fri Aug 19 2016 00:14:08 GMT+0100 (Hora de Verão de GMT)

Versão
2.37.4464.361 (PBIDesktop)

Client Error Code
ServiceErrorToClientError

Error Details
Erro de script do R.
Loading required package: scales
Loading required package: forecast
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

as.Date, as.Date.numeric

Loading required package: timeDate
Loading required package: methods
This is forecast 7.1

Error in if (frequency > 1 && abs(frequency - round(frequency)) < ts.eps) frequency <- round(frequency) :
missing value where TRUE/FALSE needed
Calls: ts
Execution halted

Stack Trace
Microsoft.PowerBI.ExploreServiceCommon.ScriptHandlerException: Erro de script do R.
Loading required package: scales
Loading required package: forecast
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

as.Date, as.Date.numeric

Loading required package: timeDate
Loading required package: methods
This is forecast 7.1

Error in if (frequency > 1 && abs(frequency - round(frequency)) < ts.eps) frequency <- round(frequency) :
missing value where TRUE/FALSE needed
Calls: ts
Execution halted
---> Microsoft.PowerBI.Radio.RScriptRuntimeException: Erro de script do R.
Loading required package: scales
Loading required package: forecast
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

as.Date, as.Date.numeric

Loading required package: timeDate
Loading required package: methods
This is forecast 7.1

Error in if (frequency > 1 && abs(frequency - round(frequency)) < ts.eps) frequency <- round(frequency) :
missing value where TRUE/FALSE needed
Calls: ts
Execution halted

em Microsoft.PowerBI.Radio.RScriptWrapper.RunScript(String originalScript, Int32 timeoutMs)
em Microsoft.PowerBI.Client.Windows.R.RScriptHandler.GenerateVisual(String script, String inputVariableName, IDataReader dataReader, Nullable`1 viewportWidthPx, Nullable`1 viewportHeightPx)
--- Fim do rastreio da pilha de excepção interna ---
em Microsoft.PowerBI.Client.Windows.R.RScriptHandler.GenerateVisual(String script, String inputVariableName, IDataReader dataReader, Nullable`1 viewportWidthPx, Nullable`1 viewportHeightPx)
em Microsoft.PowerBI.ExploreServiceCommon.ScriptVisualCommandFlow.RunInternal(Stream dataShapeResultStream, QueryBindingDescriptor& bindingDescriptor)
em Microsoft.PowerBI.ExploreServiceCommon.ScriptVisualCommandFlow.Run(Stream dataShapeResultStream, QueryBindingDescriptor& bindingDescriptor)
em Microsoft.PowerBI.ExploreHost.SemanticQuery.ExecuteSemanticQueryFlow.TransformDataShapeResult(QueryCommand transformCommand, String dataShapeId, SemanticQueryDataShapeCommand command, Stream dataShapeResultStream, QueryBindingDescriptor& bindingDescriptor)
em Microsoft.PowerBI.ExploreHost.SemanticQuery.ExecuteSemanticQueryFlow.ProcessAndWriteDataQuery(IQueryResultDataWriter queryResultDataWriter, DataShapeGenerationContext dsqGenContext, EntityDataModel model, DataQuery query, ServiceErrorStatusCode& serviceErrorStatusCode)
em Microsoft.PowerBI.ExploreHost.SemanticQuery.ExecuteSemanticQueryFlow.ProcessAndWriteSemanticQueryCommands(IQueryResultsWriter queryResultsWriter, ExecuteSemanticQueryRequest request, IConceptualSchema conceptualSchema, EntityDataModel model)

If only one time series selected, visual does appear, but prediction model transforms into an useless predictive model.

Keep it up with the good work.