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Computes the critical value for Kolmogorov-Smirnov's \(D_n\), for sample sizes \(n \ge 10\) and confidence level 95%.
KSd(n)
The critical value for D (two-sided) for significance level 0.05 (or confidence level 95%).
the sample size, n >= 10.
n >= 10
Kjetil Halvorsen and Martin Maechler
Based on tables values given in the reference below. For \(n\le 80\) uses interpolations from exact values, elsewhere uses asymptotic approximation.
Peter J. Bickel and Kjell A. Doksum (1977), Mathematical Statistics: Basic Ideas and Selected Topics. Holden Day. Section 9.6 and table IX.
Is used from ecdf.ksCI.
ecdf.ksCI
KSd(90) KSd(1:9)# now works op <- par(mfrow=c(2,1)) plot(KSd, 10, 150)# nice abline(v = c(75,85), col = "gray") plot(KSd, 79, 81, n = 1001)# *very* tiny discontinuity at 80 par(op)
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