simConf {similarityRichards}R Documentation

Pointwise confidence intervals for 'simPlot'

Description

Pointwise confidence intervals are added to the plot of 'simPlot'.

Usage

simConf(Z, x = as.real(dimnames(Z)[[1]]), ylim = c(min(Z), max(Z)),
        log = "", lineLty = 2, lineCol = "black", lineLwd = 0.5,
        centerLty = 2, centerCol = "blue", centerLwd = 1,
        confCex = 1, confCol = "blue", confLwd = 1.5, ...)

Arguments

Z a matrix with dependent values.
ylim a numeric vector with the range of the y axis.
x a numeric vector with the independent values.
log the argument log to matplot.
lineLty a numeric value, lty for the line y = 100 %.
lineCol a text string, col for the line y = 100 %.
lineLwd a numeric value, lwd for the line y = 100 %.
centerLty a numeric value, lty for joining the means of the dependent values.
centerCol a text string, col for joining the means of the dependent values.
centerLwd a numeric value, lwd for joining the means of the dependent values.
confCex a numeric value, cex for the size of the 'square' of the confidence intervals.
confCol a text string, col of the confidence intervals.
confLwd a numeric value, lwd of the confidence intervals.
... additional arguments.

Details

Pointwise confidence intervals are computed and added to the plot of 'simPlot'.

Author(s)

Jens Henrik Badsberg


[Package similarityRichards version 0.5.0 Index]