ROOT   Reference Guide
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tStudent.py File Reference

## Detailed Description

Example macro describing the student t distribution

root[0]: .x tStudent.C

It draws the pdf, the cdf and then 10 quantiles of the t Student distribution

based on Magdalena Slawinska's tStudent.C

from ROOT import TH1D, TF1, TCanvas, kRed, kBlue
import ROOT
# This is the way to force load of MathMore in Cling
# Create the pdf and the cumulative distributions
n = 100
a = -5.
b = 5.
pdf = TF1("pdf", "ROOT::Math::tdistribution_pdf(x,3.0)", a, b)
cum = TF1("cum", "ROOT::Math::tdistribution_cdf(x,3.0)", a, b)
# Create the histogram and fill it with the quantiles
quant = TH1D("quant", "", 9, 0, 0.9)
for i in range(1, 10):
quant.Fill((i-0.5)/10.0, ROOT.Math.tdistribution_quantile(0.1 * i,
3.0))
# For each quantile fill with the pdf
xx = []
xx.append(-1.5)
for i in range(1, 9):
xx.append(quant.GetBinContent(i))
xx.append(1.5)
pdfq = []
for i in range(9):
nbin = int(n * (xx[i+1] - xx[i]) / 3.0 + 1.0)
name = "pdf%d" % i
pdfq.append(TH1D(name, "", nbin, xx[i], xx[i+1]))
for j in range(1, nbin):
x = j * (xx[i+1] - xx[i]) / nbin + xx[i]
pdfq[i].SetBinContent(j, ROOT.Math.tdistribution_pdf(x, 3))
# Create the Canvas and divide in four draws, for every draw set the line width
# the title, and the line color.
Canvas = TCanvas("DistCanvas", "Student Distribution graphs", 10, 10, 800, 700)
pdf.SetTitle("Student t distribution function")
cum.SetTitle("Cumulative for Student t")
quant.SetTitle("10-quantiles for Student t")
Canvas.Divide(2, 2)
Canvas.cd(1)
pdf.SetLineWidth(2)
pdf.DrawCopy()
Canvas.cd(2)
cum.SetLineWidth(2)
cum.SetLineColor(kRed)
cum.Draw()
Canvas.cd(3)
quant.Draw()
quant.SetLineWidth(2)
quant.SetLineColor(kBlue)
quant.SetStats(0)
Canvas.cd(4)
pdfq[0].SetTitle("Student t & its quantiles")
pdf.SetTitle("")
pdf.Draw()
pdfq[0].SetTitle("Student t & its quantiles")
# Set the colors in every quantile.
i = 1
for pd in pdfq[1:]:
pd.SetStats(0)
i += 1
pd.SetFillColor(i)
pd.Draw("same")
Canvas.Modified()
The Canvas class.
Definition TCanvas.h:23
1-Dim function class
Definition TF1.h:233
1-D histogram with a double per channel (see TH1 documentation)
Definition TH1.h:670
double tdistribution_pdf(double x, double r, double x0=0)
Probability density function of Student's t-distribution.
double tdistribution_quantile(double z, double r)
Inverse ( ) of the cumulative distribution function of the lower tail of Student's t-distribution (td...

Definition in file tStudent.py.