plot.rangeList: Plot the semivariance estimates overlaid with the covariance...

In cammiller/imagingPC: Analysis of Imaging Mass Spectrometry Data using a Process Convolution Approach

Description

plot.rangeList uses the S3 plot methods in the geoR package to plot the semivariance estimates and then overlay the fitted covariance model.

Usage

## S3 method for class 'rangeList'
plot(object)

Arguments

object

An object of class "rangeList".

Value

A plot or plots or the semivariance estimates overlaid with the fitted covariance model. If there was no spatial variable provided in the estRange function then only a single plot is produced. This is equivalent to the plots produced by geoR. However, if a spatial variable was provided, then plot.rangeList produces a plot for every level of that variable.

References

Cressie, N and Hawkins, DM. 1980. Robust estimation of the variogram: I. Journal of the International Association for Mathematical Geology, 12(2):115-125.

Examples

data("TAMdata")
# The dataset is trimmed only for the speed of the example
TAMdata <- TAMdata[TAMdata$subject < 3, ]
TAMdata <- rScale(TAMdata, subjectVar = 'subject', sampleVar = 'ROI',
                  xCoord = 'x', yCoord = 'y')
rangs <- estRange(TAMdata, outcome = 'X1282.auc', spatialVar = 'TAM',
                  semivEst = 'modulus', logTransform = TRUE)
plot(rangs)

cammiller/imagingPC documentation built on June 28, 2019, 12:04 a.m.