multiecdf {geneplotter} | R Documentation

## Multiple empirical cumulative distribution functions (ecdf) and densities

### Description

Plot multiple empirical cumulative distribution functions (ecdf) and densities with user interface similar to that of `boxplot`.

### Usage

    multiecdf(x, ...)
    ## S3 method for class 'formula':
    multiecdf(formula, data = NULL, ..., na.action = NULL)
    ## Default S3 method:
    multiecdf(x, xlim, col, do.points=FALSE, subsample=TRUE, ...)

    multidensity(x, ...)
    ## S3 method for class 'formula':
    multidensity(formula, data = NULL, main, xlab, ..., na.action = NULL)
    ## Default S3 method:
    multidensity(x, bw="nrd0", xlim, ylim, col, main, xlab, ...)

### Arguments

`formula` | a formula, such as `y ~ grp`, where `y` is a numeric vector of data values to be split into groups according to the grouping variable `grp` (usually a factor).
`data` | a data.frame (or list) from which the variables in `formula` should be taken.
`na.action` | a function which indicates what should happen when the data contain `NA`s. The default is to ignore missing values in either the response or the group.
`x` | a list of numeric vectors.
`bw` | the smoothing bandwidth, see the manual page for `density`. If `bw` is a character string specifying a rule to choose the bandwidth, this rule is applied to `x[[1]]` and then the same numerical value of `bw` is used throughout.
`xlim` | Range of the x axis. If missing, the data range is used.
`ylim` | Range of the y axis. If missing, the range of the density estimates is used.
`col` | Line colors. If missing, the `Set1` palette from RColorBrewer is used.
`main` | Plot title.
`xlab` | x-axis label.
`do.points` | logical; if `TRUE`, also draw points at the knot locations.
`subsample` | logical; if `TRUE`, subsamples of size 1000 are used to compute and plot the ecdf for list items with many observations (`>1000`)
`...` | Further arguments that get passed on to the `plot` functions.

### Details

The usefulness of `multidensity` can vary, depending on the data and because of smoothing artifacts. `multiecdf` will in many cases be preferable.

### Value

For the `multidensity` functions, a list of `density` objects.

### Author(s)

Wolfgang Huber http://www.ebi.ac.uk/huber

### See Also

`boxplot`, `ecdf` `density`

### Examples

      f = 1 + (runif(1000)>0.5)
      x = rnorm(length(f), mean=f, sd=f)

      multiecdf(x~f)
      multidensity(x~f)

[Package geneplotter version 1.14.0 Index]