random_N

Number of sample sizes to generate.

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 longer tail of random sample sizes.

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; figure and image extractions
from PDFs; web scraping of citations; automated and manual data extraction
from scatter-plot and bar-plot images; 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widely used but no longer updated meta-analysis software (i.e., metawin).
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