public static StudyData GetInstance()
{
if (instance == null)
{
instance = new StudyData();
}
return(instance);
}
/**
* Load and parse data from dat_mes.csv
*/
internal static void LoadData(StudyData studyData)
{
if (IsDataLoaded)
{
return;
}
List <string[]> rows = new List <string[]>();
using (StreamReader reader = File.OpenText("Data/dat_mes.csv"))
{
while (reader.Peek() >= 0)
{
string line = reader.ReadLine();
string[] rowArray = CSVRowToStringArray(line);
if (rowArray.Length > 0)
{
rows.Add(rowArray);
}
}
}
string[] headers = rows[0];
rows.Remove(headers);
/**
* Parse each row array into a Study object.
* Assumes CSV column ordering:
* id,PublicationYear,n,r,VariablesControlled,StudyDesign,
* AdherenceMeasure,ConscientiousnessMeasure ,MeanAge,MethodologicalQuality
*/
foreach (string[] row in rows)
{
PublicationYear publicationYear = studyData.PublicationYears.AddUnique(row[1]);
CorrelationCoefficient correlationCoefficient = studyData.CorrelationCoefficients.AddUnique(row[2]);
SampleSize sampleSize = studyData.SampleSizes.AddUnique(row[3]);
VariablesControlled variablesControlled = studyData.VariablesControlled.AddUnique(row[4]);
StudyDesign studyDesign = studyData.StudyDesigns.AddUnique(row[5]);
AdherenceMeasure adherenceMeasure = studyData.AdherenceMeasures.AddUnique(row[6]);
ConscientiousnessMeasure conscientiousnessMeasure = studyData.ConscientiousnessMeasures.AddUnique(row[7]);
MeanAge meanAge = studyData.MeanAges.AddUnique(row[8]);
MethodologicalQuality methodologicalQuality = studyData.MethodologicalQualities.AddUnique(row[9]);
Study newStudy = new Study
{
Id = row[0],
PublicationYear = publicationYear,
CorrelationCoefficient = correlationCoefficient,
SampleSize = sampleSize,
VariablesControlled = variablesControlled,
StudyDesign = studyDesign,
AdherenceMeasure = adherenceMeasure,
ConscientiousnessMeasure = conscientiousnessMeasure,
MeanAge = meanAge,
MethodologicalQuality = methodologicalQuality
};
studyData.Studies.Add(newStudy);
}
IsDataLoaded = true;
}