private static void WriteErrorHistogram(string message, IEnumerable <double> pre, IEnumerable <double> post,
ISpectralAnalysisWriter writer)
{
writer.WriteLine("");
writer.WriteLine(message);
var preHist =
MatchCountHistogramBuilder.CreateResidualHistogram(-.5, .5, .01, pre);
var postHist =
MatchCountHistogramBuilder.CreateResidualHistogram(-.5, .5, .01, post);
writer.WriteLine("Value\t False Matches\t True Matches");
for (var index = 0; index < preHist.Bins.Count; index++)
{
var preValue = preHist.Bins[index];
writer.WriteLine(string.Format("{0}\t{1}\t{2}",
preValue,
preHist.Data[index],
postHist.Data[index]));
}
}
public void Write(SpectralAnalysis analysis)
{
Open();
WriteLine("[Test]");
WriteLine("[Datasets]");
foreach (var name in analysis.DatasetNames)
{
WriteLine(name);
}
WriteLine("[Histogram]");
var falseMatches = MatchCountHistogramBuilder.SimilarityScore(0,
1,
.05,
analysis.Matches.Where(x => x.IsValidMatch == AnchorPointMatchType.FalseMatch));
var trueMatches = MatchCountHistogramBuilder.SimilarityScore(0,
1,
.05,
analysis.Matches.Where(x => x.IsValidMatch == AnchorPointMatchType.TrueMatch));
var allMatches = MatchCountHistogramBuilder.SimilarityScore(0, 1, .05, analysis.Matches);
WriteLine("Value\t False Matches\t True Matches\t All");
for (var i = 0; i < falseMatches.Bins.Count; i++)
{
var score = falseMatches.Bins[i];
WriteLine(string.Format("{0}\t{1}\t{2}\t{3}",
score,
falseMatches.Data[i],
trueMatches.Data[i],
allMatches.Data[i]));
}
// Determine how many matches we have
WriteLine();
}
public void Write(SpectralAnalysis analysis)
{
Open();
WriteLine("[Test]");
WriteLine("[Datasets]");
foreach (var name in analysis.DatasetNames)
{
WriteLine(name);
}
WriteLine("[Histogram]");
var falseMatches = MatchCountHistogramBuilder.SimilarityScore(0,
1,
.05,
analysis.Matches.Where(x => x.IsValidMatch == AnchorPointMatchType.FalseMatch));
var trueMatches = MatchCountHistogramBuilder.SimilarityScore(0,
1,
.05,
analysis.Matches.Where(x => x.IsValidMatch == AnchorPointMatchType.TrueMatch));
var allMatches = MatchCountHistogramBuilder.SimilarityScore(0, 1, .05, analysis.Matches);
WriteLine("Value\t False Matches\t True Matches");
for (var i = 0; i < falseMatches.Bins.Count; i++)
{
var score = falseMatches.Bins[i];
WriteLine(string.Format("{0}\t{1}\t{2}\t{3}",
score,
falseMatches.Data[i],
trueMatches.Data[i],
allMatches.Data[i]));
}
// Determine how many matches we have
WriteLine("[Matches]");
var datasetX = new Dictionary <int, List <SpectralAnchorPoint> >();
// Here we tally the number of matches
foreach (var match in analysis.Matches)
{
var scanX = match.AnchorPointX.Scan;
if (!datasetX.ContainsKey(scanX))
{
datasetX.Add(scanX, new List <SpectralAnchorPoint>());
}
// making sure to attribute true positive matches
match.AnchorPointX.IsTrue = match.IsValidMatch == AnchorPointMatchType.TrueMatch;
datasetX[scanX].Add(match.AnchorPointX);
}
var maxMatch = 0;
var matchCount = new Dictionary <int, int>();
var multipleTrue = new Dictionary <int, int>();
foreach (var points in datasetX.Values)
{
// Then we go through the list...
// count the number of true matches
var total = points.Count;
var totalTrue = points.Count(x => x.IsTrue);
// first time to see this match total...then make a new list
maxMatch = Math.Max(maxMatch, total);
if (!matchCount.ContainsKey(total))
{
matchCount.Add(total, 0);
}
// if we have more than one entry for this spectrum
// and we have more than one true positive...lets add him up
if (total >= 1 && totalTrue > 0)
{
if (!multipleTrue.ContainsKey(totalTrue))
{
multipleTrue.Add(totalTrue, 0);
}
multipleTrue[totalTrue]++;
}
matchCount[total]++;
}
WriteLine("Num Matches\tTotal\tTotal True");
for (var i = 1; i < maxMatch; i++)
{
var totalTrue = 0;
var total = 0;
if (multipleTrue.ContainsKey(i))
{
totalTrue = multipleTrue[i];
}
if (matchCount.ContainsKey(i))
{
total = matchCount[i];
}
WriteLine(string.Format("{0}\t{1}\t{2}", i, total, totalTrue));
}
WriteLine();
Close();
}
