#include "TGraph2D.h"
#include "TGraph.h"
#include "TGraphErrors.h"
+#include "TMultiGraph.h"
+#include "TCanvas.h"
+#include "TLatex.h"
+#include "TCut.h"
//
// includes neccessary for test functions
}
-TGraph * TStatToolkit::MakeGraphSparse(TTree * tree, const char * expr, const char * cut, Int_t mstyle, Int_t mcolor, Float_t msize){
+TGraph * TStatToolkit::MakeGraphSparse(TTree * tree, const char * expr, const char * cut, Int_t mstyle, Int_t mcolor, Float_t msize, Float_t offset){
//
// Make a sparse draw of the variables
// Writen by Weilin.Yu
graphNew->SetMarkerStyle(mstyle);
graphNew->SetMarkerColor(mcolor);
if (msize>0) graphNew->SetMarkerSize(msize);
+ for(Int_t i=0;i<graphNew->GetN();i++) graphNew->GetX()[i]+=offset;
delete [] tempArray;
delete [] index;
delete [] newBins;
return graphNew;
}
+
+
+//
+// function used for the trending
+//
+
+Int_t TStatToolkit::MakeStatAlias(TTree * tree, const char * expr, const char * cut, const char * alias)
+{
+ //
+ // Add alias using statistical values of a given variable.
+ // (by MI, Patrick Reichelt)
+ //
+ // tree - input tree
+ // expr - variable expression
+ // cut - selection criteria
+ // Output - return number of entries used to define variable
+ // In addition mean, rms, median, and robust mean and rms (choosing fraction of data with smallest RMS)
+ //
+ // Example usage:
+ /*
+ Example usage to create the robust estimators for variable expr="QA.TPC.CPass1.meanTPCncl" and create a corresponding
+ aliases with the prefix alias[0]="ncl", calculated using fraction alias[1]="0.90"
+
+ TStatToolkit::MakeStatAlias(tree,"QA.TPC.CPass1.meanTPCncl","QA.TPC.CPass1.status>0","ncl:0.9");
+ root [4] tree->GetListOfAliases().Print()
+ OBJ: TNamed ncl_Mean (122.120387+0)
+ OBJ: TNamed ncl_RMS (33.509623+0)
+ OBJ: TNamed ncl_Median (130.964333+0)
+ OBJ: TNamed ncl_Mean90 (131.503862+0)
+ OBJ: TNamed ncl_RMS90 (3.738260+0)
+ */
+ //
+ Int_t entries= tree->Draw(expr,cut,"goff");
+ if (entries<=1){
+ printf("Expression or cut not valid:\t%s\t%s\n", expr, cut);
+ return 0;
+ }
+ //
+ TObjArray* oaAlias = TString(alias).Tokenize(":");
+ if (oaAlias->GetEntries()<2) return 0;
+ Float_t entryFraction = atof( oaAlias->At(1)->GetName() );
+ //
+ Double_t median = TMath::Median(entries,tree->GetV1());
+ Double_t mean = TMath::Mean(entries,tree->GetV1());
+ Double_t rms = TMath::RMS(entries,tree->GetV1());
+ Double_t meanEF=0, rmsEF=0;
+ TStatToolkit::EvaluateUni(entries, tree->GetV1(), meanEF, rmsEF, entries*entryFraction);
+ //
+ tree->SetAlias(Form("%s_Mean",oaAlias->At(0)->GetName()), Form("(%f+0)",mean));
+ tree->SetAlias(Form("%s_RMS",oaAlias->At(0)->GetName()), Form("(%f+0)",rms));
+ tree->SetAlias(Form("%s_Median",oaAlias->At(0)->GetName()), Form("(%f+0)",median));
+ tree->SetAlias(Form("%s_Mean%d",oaAlias->At(0)->GetName(),Int_t(entryFraction*100)), Form("(%f+0)",meanEF));
+ tree->SetAlias(Form("%s_RMS%d",oaAlias->At(0)->GetName(),Int_t(entryFraction*100)), Form("(%f+0)",rmsEF));
+ delete oaAlias;
+ return entries;
+}
+
+Int_t TStatToolkit::SetStatusAlias(TTree * tree, const char * expr, const char * cut, const char * alias)
+{
+ //
+ // Add alias to trending tree using statistical values of a given variable.
+ // (by MI, Patrick Reichelt)
+ //
+ // format of expr : varname (e.g. meanTPCncl)
+ // format of cut : char like in TCut
+ // format of alias: alias:query:entryFraction(EF) (fraction of entries used for uniformity evaluation)
+ // e.g.: varname_Out:(abs(varname-meanEF)>6.*rmsEF):0.8
+ // available internal variables are: 'varname, median, meanEF, rms, rmsEF'
+ // in the alias, 'varname' will be replaced by its content, and 'EF' by the percentage (e.g. meanEF -> mean80)
+ //
+ /* Example usage:
+ 1.) Define robust mean
+
+ TStatToolkit::SetStatusAlias(tree, "meanTPCnclF", "meanTPCnclF>0", "meanTPCnclF_meanEF:meanEF:0.80") ;
+ -->
+ root [10] tree->GetListOfAliases()->Print()
+ Collection name='TList', class='TList', size=1
+ OBJ: TNamed meanTPCnclF_mean80 0.899308
+ 2.) create alias outlyers - 6 sigma cut
+ TStatToolkit::SetStatusAlias(tree, "meanTPCnclF", "meanTPCnclF>0", "meanTPCnclF_Out:(abs(meanTPCnclF-meanEF)>6.*rmsEF):0.8") meanTPCnclF_Out ==> (abs(meanTPCnclF-0.899308)>6.*0.016590)
+ 3.) the same functionality as in 2.)
+ TStatToolkit::SetStatusAlias(tree, "meanTPCnclF", "meanTPCnclF>0", "varname_Out2:(abs(varname-meanEF)>6.*rmsEF):0.8")
+ ->
+ meanTPCnclF_Out2 ==> (abs(meanTPCnclF-0.899308)>6.*0.016590)
+ */
+ //
+ TObjArray* oaVar = TString(expr).Tokenize(":");
+ char varname[50];
+ //char var_x[50];
+ snprintf(varname,50,"%s", oaVar->At(0)->GetName());
+ //snprintf(var_x ,50,"%s", oaVar->At(1)->GetName());
+ TCut userCut(cut);
+ TObjArray* oaAlias = TString(alias).Tokenize(":");
+ Float_t entryFraction = atof( oaAlias->At(2)->GetName() );
+ //
+ Int_t entries = tree->Draw(expr, userCut, "goff");
+ if (entries<=1){
+ printf("Expression or cut not valid:\t%s\t%s\n", expr, cut);
+ return 0;
+ }
+ //printf(" entries (via tree->Draw(...)) = %d\n",entries);
+ Double_t mean = TMath::Mean(entries,tree->GetV1());
+ Double_t median = TMath::Median(entries,tree->GetV1());
+ Double_t rms = TMath::RMS(entries,tree->GetV1());
+ Double_t meanEF=0, rmsEF=0;
+ TStatToolkit::EvaluateUni(entries, tree->GetV1(), meanEF, rmsEF, entries*entryFraction);
+ //printf("%s\t%f\t%f\t%f\t%f\n",varname, median, meanEF, rms, rmsEF);
+ //
+ TString sAlias( oaAlias->At(0)->GetName() );
+ sAlias.ReplaceAll("varname",varname);
+ sAlias.ReplaceAll("MeanEF", Form("mean%1.0f",entryFraction*100) );
+ sAlias.ReplaceAll("RMSEF", Form("rms%1.0f",entryFraction*100) );
+ TString sQuery( oaAlias->At(1)->GetName() );
+ sQuery.ReplaceAll("varname",varname);
+ sQuery.ReplaceAll("MeanEF", Form("%f",meanEF) );
+ sQuery.ReplaceAll("RMSEF", Form("%f",rmsEF) ); //make sure to replace 'rmsEF' before 'rms'...
+ sQuery.ReplaceAll("Median", Form("%f",median) );
+ sQuery.ReplaceAll("RMS", Form("%f",rms) );
+ sQuery.ReplaceAll("Mean", Form("%f",mean) );
+ printf("%s\n", sQuery.Data());
+ //
+ char query[200];
+ char aname[200];
+ snprintf(query,200,"%s", sQuery.Data());
+ snprintf(aname,200,"%s", sAlias.Data());
+ tree->SetAlias(aname, query);
+ return entries;
+}
+
+TMultiGraph* TStatToolkit::MakeStatusMultGr(TTree * tree, const char * expr, const char * cut, const char * alias, Int_t igr)
+{
+ //
+ // Compute a trending multigraph that shows for which runs a variable has outliers.
+ // (by MI, Patrick Reichelt)
+ //
+ // format of expr : varname:xaxis (e.g. meanTPCncl:run)
+ // format of cut : char like in TCut
+ // format of alias: (1):(varname_Out==0):(varname_Out)[:(varname_Warning):...]
+ // in the alias, 'varname' will be replaced by its content (e.g. varname_Out -> meanTPCncl_Out)
+ // note: the aliases 'varname_Out' etc have to be defined by function 'SetStatisticAlias(...)'
+ // counter igr is used to shift the multigraph in y when filling a TObjArray.
+ //
+ TObjArray* oaVar = TString(expr).Tokenize(":");
+ char varname[50];
+ char var_x[50];
+ snprintf(varname,50,"%s", oaVar->At(0)->GetName());
+ snprintf(var_x ,50,"%s", oaVar->At(1)->GetName());
+ TCut userCut(cut);
+ TString sAlias(alias);
+ sAlias.ReplaceAll("varname",varname);
+ TObjArray* oaAlias = TString(sAlias.Data()).Tokenize(":");
+ //
+ char query[200];
+ TMultiGraph* multGr = new TMultiGraph();
+ Int_t marArr[6] = {24+igr%2, 20+igr%2, 20+igr%2, 20+igr%2, 22, 23};
+ Int_t colArr[6] = {kBlack, kBlack, kRed, kOrange, kMagenta, kViolet};
+ Double_t sizArr[6] = {1.2, 1.1, 1.0, 1.0, 1, 1};
+ const Int_t ngr = oaAlias->GetEntriesFast();
+ for (Int_t i=0; i<ngr; i++){
+ if (i==2) continue; // the Fatal(Out) graph will be added in the end to be plotted on top!
+ snprintf(query,200, "%f*(%s-0.5):%s", 1.+igr, oaAlias->At(i)->GetName(), var_x);
+ multGr->Add( (TGraphErrors*) TStatToolkit::MakeGraphSparse(tree,query,userCut,marArr[i],colArr[i],sizArr[i]) );
+ }
+ snprintf(query,200, "%f*(%s-0.5):%s", 1.+igr, oaAlias->At(2)->GetName(), var_x);
+ multGr->Add( (TGraphErrors*) TStatToolkit::MakeGraphSparse(tree,query,userCut,marArr[2],colArr[2],sizArr[2]) );
+ //
+ multGr->SetName(varname);
+ multGr->SetTitle(varname); // used for y-axis labels. // details to be included!
+ return multGr;
+}
+
+
+void TStatToolkit::AddStatusPad(TCanvas* c1, Float_t padratio, Float_t bottommargin)
+{
+ //
+ // add pad to bottom of canvas for Status graphs (by Patrick Reichelt)
+ // call function "DrawStatusGraphs(...)" afterwards
+ //
+ TCanvas* c1_clone = (TCanvas*) c1->Clone("c1_clone");
+ c1->Clear();
+ // produce new pads
+ c1->cd();
+ TPad* pad1 = new TPad("pad1", "pad1", 0., padratio, 1., 1.);
+ pad1->Draw();
+ pad1->SetNumber(1); // so it can be called via "c1->cd(1);"
+ c1->cd();
+ TPad* pad2 = new TPad("pad2", "pad2", 0., 0., 1., padratio);
+ pad2->Draw();
+ pad2->SetNumber(2);
+ // draw original canvas into first pad
+ c1->cd(1);
+ c1_clone->DrawClonePad();
+ pad1->SetBottomMargin(0.001);
+ pad1->SetRightMargin(0.01);
+ // set up second pad
+ c1->cd(2);
+ pad2->SetGrid(3);
+ pad2->SetTopMargin(0);
+ pad2->SetBottomMargin(bottommargin); // for the long x-axis labels (runnumbers)
+ pad2->SetRightMargin(0.01);
+}
+
+
+void TStatToolkit::DrawStatusGraphs(TObjArray* oaMultGr)
+{
+ //
+ // draw Status graphs into active pad of canvas (by MI, Patrick Reichelt)
+ // ...into bottom pad, if called after "AddStatusPad(...)"
+ //
+ const Int_t nvars = oaMultGr->GetEntriesFast();
+ TGraph* grAxis = (TGraph*) ((TMultiGraph*) oaMultGr->At(0))->GetListOfGraphs()->At(0);
+ grAxis->SetMaximum(0.5*nvars+0.5);
+ grAxis->SetMinimum(0);
+ grAxis->GetYaxis()->SetLabelSize(0);
+ Int_t entries = grAxis->GetN();
+ printf("entries (via GetN()) = %d\n",entries);
+ grAxis->GetXaxis()->SetLabelSize(5.7*TMath::Min(TMath::Max(5./entries,0.01),0.03));
+ grAxis->GetXaxis()->LabelsOption("v");
+ grAxis->Draw("ap");
+ //
+ // draw multigraphs & names of status variables on the y axis
+ for (Int_t i=0; i<nvars; i++){
+ ((TMultiGraph*) oaMultGr->At(i))->Draw("p");
+ TLatex* ylabel = new TLatex(-0.1, 0.5*i+0.5, ((TMultiGraph*) oaMultGr->At(i))->GetTitle());
+ ylabel->SetTextAlign(32); //hor:right & vert:centered
+ ylabel->SetTextSize(0.025/gPad->GetHNDC());
+ ylabel->Draw();
+ }
+}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff