Barkas:Normal Distribution PDF.svg

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Ringkesan

Panyandra
English: A selection of Normal Distribution Probability Density Functions (PDFs). Both the mean, μ, and variance, σ², are varied. The key is given on the graph.
Tanggal
Sumber self-made, Mathematica, Inkscape
Juru pangarang Inductiveload
Idin
(Nganggo manèh barkas iki)
Public domain Kula, sing nduwèni hak cipta karya iki, nerbitaké karya iki nèng domain umum. Iki kanggo nèng saubenging dunya.
Nèng saperangan nagara iki mungkin ora dièntokaké; yèn mangkono:
Kula ngawèhaké sapa waé hak migunakaké karya iki kanggo maksud apa waé, tanpa katemton apa waé, kajaba ana katemton kuwi dibutuhaké déning hukum.
SVG genesis
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The source code of this SVG is invalid due to an error.
 
W3C-tidak sah Gambar vektor ini dibuat menggunakan R
 
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Kode sumber
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R code

Plot[
 {
  PDF[NormalDistribution[1, Sqrt[2]], x],
  PDF[NormalDistribution[2, 1], x],
  PDF[NormalDistribution[3, Sqrt[3]], x],
    },
 {x, -5, 5},
 PlotRange -> All,
 Axes -> False]

Data

#			Normal Distribution PDF
#range
x=seq(-5,5,length=200)
#plot each curve
plot(x,dnorm(x,mean=0,sd=sqrt(.2)),type="l",lwd=2,col="blue",main='Normal Distribution PDF',xlim=c(-5,5),ylim=c(0,1),xlab='X',
ylab='φμ, σ²(X)')
curve(dnorm(x,mean=0,sd=1), add=TRUE,type="l",lwd=2,col="red")
curve(dnorm(x,mean=0,sd=sqrt(5)), add=TRUE,type="l",lwd=2,col="brown")
curve(dnorm(x,mean=-2,sd=sqrt(.5)), add=TRUE,type="l",lwd=2,col="green")

Text

#                    Normal Distribution
import numpy as np
import matplotlib.pyplot as plt 

def make_gauss(N, sig, mu):
    return lambda x: N/(sig * (2*np.pi)**.5) * np.e ** (-(x-mu)**2/(2 * sig**2))

def main():
    ax = plt.figure().add_subplot(1,1,1)
    x = np.arange(-5, 5, 0.01)
    s = np.sqrt([0.2, 1, 5, 0.5])
    m = [0, 0, 0, -2] 
    c = ['b','r','y','g']

    for sig, mu, color in zip(s, m, c): 
        gauss = make_gauss(1, sig, mu)(x)
        ax.plot(x, gauss, color, linewidth=2)

    plt.xlim(-5, 5)
    plt.ylim(0, 1)
    plt.legend(['0.2', '1.0', '5.0', '0.5'], loc='best')
    plt.show()

if __name__ == '__main__':
   main()

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gegambaran

sejak Indonesia

2 April 2008

Sajarahing berkas

Klik ing tanggal/wektuné saprelu ndeleng rupané barkasé nalika tanggal iku.

Tanggal/WektuGambar cilikAlang ujurNaragunaTanggepan
saiki29 April 2016 16.06Gambar cilik kanggo owahan 29 April 2016 16.06720 × 460 (63 KB)RayhemLighten background grid
22 Sèptèmber 2009 17.19Gambar cilik kanggo owahan 22 Sèptèmber 2009 17.19720 × 460 (65 KB)StpashaTrying again, there seems to be a bug with previous upload…
22 Sèptèmber 2009 17.15Gambar cilik kanggo owahan 22 Sèptèmber 2009 17.15720 × 460 (65 KB)StpashaCurves are more distinguishable; numbers correctly rendered in roman style instead of italic
27 Juni 2009 14.07Gambar cilik kanggo owahan 27 Juni 2009 14.07720 × 460 (55 KB)Autiwafichier environ 2 fois moins gros. Purgé des définitions inutiles, et avec des plots optimisés au niveau du nombre de points.
5 Sèptèmber 2008 18.22Gambar cilik kanggo owahan 5 Sèptèmber 2008 18.22720 × 460 (109 KB)PatríciaRfrom http://tools.wikimedia.pl/~beau/imgs/ (recovering lost file)
2 April 2008 19.09Ora ana miniatur (109 KB)Inductiveload{{Information |Description=A selection of Normal Distribution Probability Density Functions (PDFs). Both the mean, ''μ'', and variance, ''σ²'', are varied. The key is given on the graph. |Source=self-made, Mathematica, Inkscape |Date=02/04/2008 |Author

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