order.test | R Documentation |
The Order test for testing random number generators.
order.test(u, d = 3, echo = TRUE)
u |
sample of random numbers in ]0,1[. |
echo |
logical to plot detailed results, default |
d |
a numeric for the dimension, see details. When necessary
we assume that |
We consider a vector u
, realisation of i.i.d. uniform random
variables U_1, \dots, U_n
.
The Order test works on a sequence of d-uplets (x,y,z
when
d=3
) of uniform i.i.d.
random variables. The triplet is build from the vector u
. The number of
permutation among the components of a triplet is 3!=6
, i.e. x<y<z
,
x<z<y
, y<x<z
, y<z<x
, z<x<y
and z<y<x
. The
Marsaglia test computes the empirical of the different permutations as well
as the theoretical one n/6
where n
is the number of triplets.
Finally the chi-squared statistic is
S = \sum_{j=0}^{6} \frac{n_j - n/6)^2}{n/6}.
a list with the following components :
statistic
the value of the chi-squared statistic.
p.value
the p-value of the test.
observed
the observed counts.
expected
the expected counts under the null hypothesis.
residuals
the Pearson residuals, (observed - expected) / sqrt(expected).
Christophe Dutang.
Planchet F., Jacquemin J. (2003), L'utilisation de methodes de simulation en assurance. Bulletin Francais d'Actuariat, vol. 6, 11, 3-69. (available online)
L'Ecuyer P. (2001), Software for uniform random number generation distinguishing the good and the bad. Proceedings of the 2001 Winter Simulation Conference. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1109/WSC.2001.977250")}
L'Ecuyer P. (2007), Test U01: a C library for empirical testing of random number generators. ACM Trans. on Mathematical Software 33(4), 22. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1145/1268776.1268777")}
other tests of this package freq.test
, serial.test
, poker.test
,
gap.test
and coll.test
ks.test
for the Kolmogorov Smirnov test and acf
for
the autocorrelation function.
# (1) mersenne twister vs torus
#
order.test(runif(6000))
order.test(torus(6000))
# (2)
#
order.test(runif(4000), 4)
order.test(torus(4000), 4)
# (3)
#
order.test(runif(5000), 5)
order.test(torus(5000), 5)
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