figure_detectAxis

A binary figure image (an EBImage object).
See: <code><a href="/link/figure_transformToBinary?package=metagear&version=0.1" rd-options="" data-mini-rdoc="metagear::figure_transformToBinary">figure_transformToBinary</a></code>

aBinaryPlot

The axis to be detected from a figure: can
be <code>X</code> or <code>Y</code>.

axis_type

An integer used to designate the thickness of the
axis lines on a figure.  Close alignment to the thickness of the axis
on a figure will improve axis detection.

axis_thickness

A value designating the sensitivity of identifying
   straight lines on a figure.  A smaller number results in a higher
   sensitivity to identify axes.

sensitivity

Attempts to detect either the X (horizontal) or Y (vertical) axis from
a plotted figure.

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effect sizes with a common control); and finally summaries that replicate analyses and outputs from widely used but no longer updated meta-analysis software.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.

figure_detectAxis: Detect an axis from a figure image.

Description

Usage

Arguments

Value

See Also