cg (version 1.0-3)

samplesizeGraph: Graph Estimated Sample Sizes

Description

Generic function to graph a table of estimated sample sizes, using a Sample Size table created by the cg package.

Usage

samplesizeGraph(sstable, Nscale = "log", mmdscale = "log", ...)

Arguments

sstable

A samplesizeTable created by a samplesizeTable method from the cg package.

Nscale

A character indicating whether the y-axis, which shows the estimated sample sizes, should be drawn on the log scale ("log") or the original scale ("original").

mmdscale

A character indicating whether the x-axis, which shows the minimum meaningful differences to be detected, should be drawn on the log scale ("log") or the original scale ("original").

...

Additional arguments, depending on the specific method written for the object. See the specific methods for additional details.

Value

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

See Also

samplesizeGraph.cgOneFactorSampleSizeTable

Examples

#### One Factor data

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

canine.samplesize <- samplesizeTable(canine.fit, direction="increasing", 
                                     mmdvec=c(10, 25, 50, 75, 100))

samplesizeGraph(canine.samplesize)

#### Paired Difference data
data(anorexiaFT)
anorexiaFT.data <- prepareCGPairedDifferenceData(anorexiaFT, format="groupcolumns",
                                                 analysisname="Anorexia FT",
                                                 endptname="Weight",
                                                 endptunits="lbs",
                                                 expunitname="Patient",
                                                 digits=1,
                                                 logscale=TRUE)
anorexiaFT.fit <- fit(anorexiaFT.data)

## The interest is in increased weight for the anorexia FT
## (family treatment) group of patients
anorexiaFT.samplesize <- samplesizeTable(anorexiaFT.fit, direction="increasing",
                         mmdvec=c(5, 10, 15, 20)) ## print method shows table

samplesizeGraph(anorexiaFT.samplesize)