Description Usage Arguments Details Value Author(s) See Also Examples

The function calculates the 2-sided p-value of the Wald-Wolfowitz runs test after dichotomizing the input vector

1 | ```
runs.pvalue(y, pmethod = c("exact", "normal", "cc"))
``` |

`y` |
Numeric vector of data values. |

`pmethod` |
A character string describing the method for the p-value calculation of the runs
test. |

This function calculates the 2-sided p-value of the runs.test.

The large sample approximations are an adaption from the codes for `runs.test()`

found in the R-packages lawstat and tseries.

The aim of this own was to avoid the heavy footprint of both packages for this small
package.

The user can choose the application of a continuity correction to the normal
approximation like a SAS implementation http://support.sas.com/kb/33/092.html uses
or like SPSS if n<50.

The exact distribution of runs and the p-value based on it are described in the manual
of SPSS "Exact tests" to be found f.i. http://www.sussex.ac.uk/its/pdfs/SPSS_Exact_Tests_21.pdf.

If `pmethod="exact"`

is chosen and n>30 and n1>12 and n2>12 (see `pruns.exact`

)
the continuity corrected version of the normal approximation is used to save time and memory.

Numeric p-value of the 2-sided test.

D. Labes

adapted from `runs.test()`

package lawstat

Authors: Wallace Hui, Yulia R. Gel, Joseph L. Gastwirth, Weiwen Miao

and from `runs.test()`

package tseries

Author: A. Trapletti

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
# alternating sequence 1,2,1,2 ...
# maybe seen as numeric representation of 'TR','RT' ...
# and is used in that way here in this package
x <- rep(c(1, 2), 6)
runs.pvalue(x, pmethod="normal")
# should give 0.002464631
# exact p-value
runs.pvalue(x, pmethod="exact")
# should give 0.004329004
#
# same for 3 numbers (numeric representation of 3 sequences)
x <- rep(c(1, 2, 3),4)
runs.pvalue(x, pmethod="normal")
# should give 0.2502128
# i.e. is seen as compatible with a random sequence!
# exact p-value, default i.e. must not given exolicitely
runs.pvalue(x)
# should give 0.3212121
# i.e. is seen even more as compatible with a random sequence!
``` |

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