exceedance_profile | R Documentation |

Preprocessing the data and collecting information before performing the exceedance control. This step is developed for reducing the computational burder only. It is not related to statistics.

exceedance_profile(x, param)

`x` |
numeric, p-values from some tests (E.g T-test for high-thoughput gene data.), with each element representing a hypothesis. |

`param` |
exceedance_parameters object |

an exceedance_profile object

## The 3rd pvalue statistic param <- param_fast_GW(statistic = "kth_p", param1 = 3) ## generate p-values x <- rbeta(10, 1, 10) ## profile the data profile <- profile_pvalue(x,param) ## compute the 95% confidence envolop alpha <- 0.05 ## reject the first three hypotheses exceedance_confidence(profile, alpha, ri = 3) ## reject the hypothese which pvalues are equal to ## the first three samples. ## In other word, this is equivalent to reject the first three hypotheses exceedance_confidence(profile, alpha, rx = x[1:3]) ## reject the hypotheses which have the lowest 3 p-values exceedance_confidence(profile, alpha, sri = 3) ## Determine which hypotheses can be rejected while controlling the ## exceedance rate: P(FDP > bound) < alpha alpha <- 0.05 bound <- 0.2 exceedance_inference(profile, alpha, bound)

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