cg (version 1.0-3)

pointGraph: Graph Individual Data Points of Groups

Description

Generic function to create point graphs (a.k.a. dot plot, strip plot, one-dimensional scatter plot) of a data object created by the cg package.

Usage

pointGraph(data, ...)

Arguments

data

A data object created with a prepare function or method from the cg package. The only class of object currently valid is cgOneFactorData, which is created by the prepareCGOneFactorData function.

...

Additional arguments, depending on the specific method written for the object. Currently, there is only one such specific method; see pointGraph.cgOneFactorData for any additional arguments that can be specified.

Value

The main purpose is the side effect of graphing to the current device. See the specific methods for discussion of any return values.

Details

Individual points are jittered, and open circles are used to alleviate potential overlap and the danger of representing multiple points as a single point.

The point graph is a vertical dot plot or strip plot, with separate areas for each group in the data set, and light gray lines between the groups. For censored data, left-censored values are shown as a shallow "V", which is actually just a rotated downward "<" sign.="" similarly,="" right-censored="" values="" are="" shown="" as="" a="" deeper="" "^",="" which="" is="" rotated="" upward="" "="">" sign.

Minimum and maximum values from ranges of data are respectively labeled in the bottom and top left corners of graph regions. Tick marks are attempted to be chosen wisely. For log-scaled axes in particular, leading digits of 2, 5, and 10 for values are included if possible. Since the algorithm is empirical, the ticklabels argument is available for further refinement or complete replacement of tickmarks.

See Also

pointGraph.cgOneFactorData

Examples

data(canine)
canine.data <- prepareCGOneFactorData(canine, format="groupcolumns",
                                      analysisname="Canine",
                                      endptname="Prostate Volume",
                                      endptunits=expression(plain(cm)^3),
                                      digits=1, logscale=TRUE, refgrp="CC")
pointGraph(canine.data)

# Graph the data on the original scale instead of the log scale.
pointGraph(canine.data, logscale=FALSE)

## Censored Data
data(gmcsfcens)
gmcsfcens.data <- prepareCGOneFactorData(gmcsfcens, format="groupcolumns",
                                         analysisname="cytokine",
                                         endptname="GM-CSF (pg/ml)",
                                         logscale=TRUE)
pointGraph(gmcsfcens.data)