pilotData: User friendly interface to class "PilotData"

In SSPA: General Sample Size and Power Analysis for Microarray and Next-Generation Sequencing Data

Description

User friendly interface to class "PilotData"

Usage

pilotData(
  statistics = NULL,
  samplesize = NULL,
  distribution = c("norm", "t", "f", "chisq"),
  ...
)

Arguments

statistics	vector of test statistics
samplesize	total sample size of the pilot-data or effective sample size in two-group case (see Details for more information).
distribution	type of the null/alternative distribution, one of 'norm', 't', 'f' or 'chisq'
...	additional arguments for the distribution like degrees of freedom

Details

details follow In the two-group case the effective sample size is defined as the square-root of the inverse of 1/n1 + 1/n2.

Value

object of class "PilotData"

Author(s)

Maarten van Iterson

Examples

pd <- pilotData(statistics=rnorm(100), samplesize=10, distribution="norm")
pd
plot(pd)

Example output

Loading required package: qvalue
Loading required package: lattice
Loading required package: limma
Formal class 'PilotData' [package "SSPA"] with 5 slots
  ..@ statistics  : num [1:100] -0.902 -0.994 0.971 -0.976 1.341 ...
  ..@ samplesize  : num 10
  ..@ pvalues     : num [1:100] 0.367 0.32 0.331 0.329 0.18 ...
  ..@ distribution: chr "norm"
  ..@ args        : list()

SSPA documentation built on Nov. 8, 2020, 5:50 p.m.