figure_transformToBinary

The original figure image (an <code>EBImage</code> object).

aFigure

A proportion from zero to one designating the gray-scale
threshold to convert pixels into black or white.  Pixel intensities below
the proportion will be converted to black, and those above white.  Helps
remove noise and increase contrast among candida

threshold

If <code>TRUE</code> then fills empty points/symbols in figure.

point_fill

An integer used to designate the size of the points
   to fill.  Increase value to better fill empty points.

point_tolerance

Transforms a figure into a black and white image.  This pre-processing of the
image is necessary to help identify objects within the figure (e.g., axes,
plotted points).

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effect sizes with a common control); and finally summaries that replicate analyses and outputs from widely used but no longer updated meta-analysis software.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_transformToBinary: Transforms figure to binary image.

Description

Usage

Arguments

Value