Perform sign test on one-sample data, which is one of the oldest non-parametric statistical methods. Assume that X comes from a continuous distribution with median = v ( unknown ). Test the null hypothesis H0: median of X v = mu ( mu is the location parameter and is given in the test ) v.s. the alternative hypothesis H1: v > mu ( or v < mu or v != mu ) and calculate the p-value. When the sample size is large, perform the asymptotic sign test. In both ways, calculate the R-estimate of location of X and the distribution free confidence interval for mu.

Version: | 1.5.1 |

Published: | 2015-05-30 |

Author: | Yeyun Yu and Ting Yang |

Maintainer: | Ting Yang <707237077 at qq.com> |

License: | GPL-2 |

NeedsCompilation: | no |

CRAN checks: | signmedian.test results |

Reference manual: | signmedian.test.pdf |

Package source: | signmedian.test_1.5.1.tar.gz |

Windows binaries: | r-devel: signmedian.test_1.5.1.zip, r-release: signmedian.test_1.5.1.zip, r-oldrel: signmedian.test_1.5.1.zip |

OS X binaries: | r-release: signmedian.test_1.5.1.tgz, r-oldrel: signmedian.test_1.5.1.tgz |

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