maPlot.func {marray}R Documentation

Scatter-plots with fitted curves and text


This function produces scatter-plots of x vs. y. It also allows the user to highlight and annotate subsets of points on the plot, and display fitted curves from robust local regression or other smoothing procedures.


maPlot.func(x, y, z, 
        lines.func = maLowessLines(subset = TRUE, f = 0.3, col = 1:length(unique(z)), lty = 1, lwd = 2.5),
        text.func = maText(), 
        legend.func = maLegendLines(legend = as.character(unique(z)), col = 1:length(unique(z)), lty = 1, lwd = 2.5, ncol = 1),


x A "numeric" vector for the abscissa.
y A "numeric" vector for the ordinates.
z A vector of statistic used to stratify the data, smoothed curves are fitted separately within values of z
lines.func A function for computing and plotting smoothed fits of y as a function of x, separately within values of z, e.g. maLoessLines.
text.func A function for highlighting a subset of points, e.g., maText.
legend.func A function for adding a legend to the plot, e.g. maLegendLines.
... Optional graphical parameters, see par.


Sandrine Dudoit,


S. Dudoit and Y. H. Yang. (2002). Bioconductor R packages for exploratory analysis and normalization of cDNA microarray data. In G. Parmigiani, E. S. Garrett, R. A. Irizarry and S. L. Zeger, editors, The Analysis of Gene Expression Data: Methods and Software, Springer, New York.

See Also

maPlot, maLoessLines, maLegendLines, maText, plot, lowess, loess, legend.


# See examples for maPlot.

[Package marray version 1.8.0 Index]