random_N

A string that defines what sampling distribution to generate
random N.  The default is <code>"NegativeBinomial"</code> but a <code>"Poisson"</code>
distribution can also be used.

method

The population mean (mu) if <code>"NegativeBinomial"</code>, or the lambda
(dispersion parameter) if <code>"Poisson"</code>.  The default is 15, which will
generate sample sizes that on average will center around N = 15.

mean

A non-negative integer that specifies the minimum sample size that
can be generated.  Default is N = 3.

Dispersion parameter for the <code>"Negative Binomial"</code> distribution
   that must be strictly positive, but need not be integer.  Default is 15,
   which creates a long tail for random N's ranging to about N = 60.  Increase
   value to create a l

NB_size

Generates random sample sizes (N) by either sampling from a Negative Binomial
   or Poisson distribution.

Functionalities for facilitating systematic reviews, data extractions, and meta-analyses.  It includes a GUI (graphical user interface) to help screen the abstracts and titles of bibliographic data; tools to assign screening effort across multiple collaborators/reviewers and to assess inter-reviewer reliability; tools to help automate the download and retrieval of journal PDF articles from online databases; automated data extractions from scatter-plots; PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagrams; simple imputation tools to fill gaps in incomplete or missing study parameters; generation of random effects sizes for Hedges' d, log response ratio, odds ratio, and correlation coefficients for Monte Carlo experiments; covariance equations for modelling dependencies among multiple effect sizes (e.g., effect sizes with a common control); and finally summaries that replicate analyses and outputs from widely used but no longer updated meta-analysis software.  Funding for this package was supported by National Science Foundation (NSF) grants DBI-1262545 and DEB-1451031.

random_N: Random generation of sample sizes (N) for study outcomes.

Description

Usage

Arguments

Value