figure_removeOutlyingPoints

A binary figure image with detected points (an
<code>EBImage</code> object).
See: <code>figure_detectAllPoints</code>

aDetectedPlot

A binary figure image with detected X-axis (an EBImage object).
See: <code>figure_detectAxis</code>

xAxis

A binary figure image with detected Y-axis (an EBImage object).
   See: <code>figure_detectAxis</code>

yAxis

Removes all detected points outside of axis range.  Requires three detected
images: one based on <code><a href="/link/figure_detectAllPoints?package=metagear&version=0.1" rd-options="" data-mini-rdoc="metagear::figure_detectAllPoints">figure_detectAllPoints</a></code>, and two others based on
detected X- and Y-axes (i.e. <code><a href="/link/figure_detectAxis?package=metagear&version=0.1" rd-options="" data-mini-rdoc="metagear::figure_detectAxis">figure_detectAxis</a></code>)

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effect sizes with a common control); and finally summaries that replicate analyses and outputs from widely used but no longer updated meta-analysis software.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

Description

Usage

Arguments

Value