simConf {similarityRichards} | R Documentation |
Pointwise confidence intervals are added to the plot of 'simPlot'.
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, ...)
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. |
Pointwise confidence intervals are computed and added to the plot of 'simPlot'.
Jens Henrik Badsberg