Calculation of fp and fn based on a vector of p-values
FP和FN的计算基础上的p-值的向量
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Based on a vector of p-values the proportion false positive (fp) and the proportion false negative are calculated for each entry, assuming that one to be the last to be called significant. The sum of fp and fn is also calculated (errors). Furthermore, an
基于p值向量比例的假阳性(FP)和假阴性比例计算每个条目,假设一个是被称为显着。 FP和FN的总和计算(错误)。此外,
用法----------Usage----------
fp.fn(ps = pvals, B = 100)
参数----------Arguments----------
参数:ps
a vector of p-values
p值向量
参数:B
the number of bootstrap loops done by the function estimatep0 called by fp.fn
通过函数estimatep0称为由fp.fn的数量,引导循环
值----------Value----------
A list with components
与组件列表
参数:p0
the estimated proportion unchamged
估计比例unchamged
参数:fp
the estimated proportion false positives
估计比例误报
参数:fn
the estimated proportion false negatives
估计比例的假阴性
参数:N
the number of the p-value (significance level) that gives minimum fp + fn
p值(显着性水平),使最低FP + FN