maPlot.func {marray} | R Documentation

## Scatter-plots with fitted curves and text

### Description

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.

### Usage

    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),
             ...)

### Arguments

`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`.

### Author(s)

Sandrine Dudoit, http://www.stat.berkeley.edu/~sandrine.

### References

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`.

### Examples

    # See examples for maPlot.

[Package marray version 1.5.25 Index]