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VizOR (version 0.8-5)

Graphical Visualization Tools for Complex Observational Data with Focus on Health Sciences

Description

Provides individual- and aggregate-level graphical depictions of patterns of treatment and response in patient registries, and a graphical tool for examining potential for confounding in analyses of observational data.

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Version

Install

install.packages('VizOR')

Monthly Downloads

31

Version

0.8-5

License

GPL (>= 2)

Maintainer

David C. Norris

Last Published

December 14th, 2016

Functions in VizOR (0.8-5)

color.colored

Returns the vector of colors associated with the factor levels.
color

Generic function color
[.colored

Index a colored vector
droplevels.colored

Drop unused levels from a colored factor
beNiceToLaTeX

Sanitize deparsed R expressions for inclusion in LaTeX documents. Percent signs and ampersands appearing in R expressions must be escaped for inclusion in LaTeX documents.
fastback

fastback
key.colored

Extract the color key from a colored factor
key

Generic function 'key'
relevel.colored

Reorder levels of a colored factor.
radarplot

A multidimensional 'Table 1 at-a-glance'
alphatize

Apply alpha transparency to a color vector
panel.marginal.density

panel.marginal.density
panel.radarplot

Panel function for multidimensional 'Table 1 at-a-glance' See radarplot
plotbraids

plotbraids
colored

Create a colored factor, an object of class c('colored','factor') or c('colored','ordered'), from a character vector or factor x.
remvar

remvar
representNA.data.frame

Apply the representNA function to all columns of a data frame
controller

Provides a GUI panel offering dynamic control of the adjust-to settings of the partial effects plot of an rms fit object.
predReg

Registry Ensemble Prediction
timeline

A color-coded treatment time-line, with overlaid events
representNA

Convert "NA"s to NAs
prepanel.prevalence

Adapts y-axis limits to prevalence range and any nonzero box width
VizOR-package

Graphical visualization tools for complex observational data (VizOR). Package functionality includes individual- and aggregate-level graphics depicting patterns of treatment and response in patient registries, and a graphical tool for identifying potential for confounding in analyses of observational data.
vlbw

Data on 671 very low birth weight infants
panel.plotbraids

panel.plotbraids
panel.prevalence

Treatment Prevalence vs Duration graphic