text.dt.madlib {PivotalR} | R Documentation

## Add labels onto the figure generated by plot.dt.madlib

### Description

This is a function which adds labels to the plot generated by `plot.dt.madlib`.

### Usage

        ## S3 method for class 'dt.madlib'
    text(x, splits = TRUE, label, FUN = text, all = FALSE,
        pretty = NULL, digits = getOption("digits") - 3L, use.n = FALSE, fancy
        = FALSE, fwidth = 0.8, fheight = 0.8, bg = par("bg"), minlength = 1L, ...)

### Arguments

`x` | The fitted tree from the result of `madlib.rpart`
`splits` | A boolean, if TRUE, labels the splits with the criterion for the split.
`label` | This is currently ignored.
`FUN` | The name of a labeling function, e.g. text
`all` | A boolean, if TRUE, labels all the nodes, otherwise just the terminal nodes.
`pretty` | An alternative to the `minlength` argument.
`digits` | Number of significant digits to include in numeric labels.
`use.n` | A boolean, if TRUE, adds to label (\#events level1/ \#events level2/etc. for classification and n for regression)
`fancy` | A boolean, if TRUE, represents internal nodes by ellipses and leaves by rectangles.
`fwidth` | Controls the width of the ellipses and rectangles if fancy=TRUE.
`fheight` | Controls the height of the ellipses and rectangles if fancy=TRUE.
`bg` | The color used to paint the background if fancy=TRUE.
`minlength` | The length to use for factor labels.
`...` | Other graphical parameters to be supplied as input to this function (see `par`).

### Author(s)

Author: Predictive Analytics Team at Pivotal Inc.

Maintainer: Frank McQuillan, Pivotal Inc. fmcquillan@pivotal.io

### References

[1] Documentation of decision tree in MADlib 1.6, http://doc.madlib.net/latest/

### See Also

`madlib.rpart` is the wrapper for MADlib's tree_train function for decision trees. `plot.dt.madlib`, `print.dt.madlib` are visualization functions for a model fitted through madlib.rpart

`predict.dt.madlib` is a wrapper for MADlib's predict function for decision trees.

`madlib.lm`, `madlib.glm`, `madlib.summary`, `madlib.arima`, `madlib.elnet` are all MADlib wrapper functions.

### Examples

    ## Not run:

    ## set up the database connection
    ## Assume that .port is port number and .dbname is the database name
    cid <- db.connect(port = .port, dbname = .dbname, verbose = FALSE)

    x <- as.db.data.frame(abalone, conn.id = cid, verbose = FALSE)

    key(x) <- "id"
    fit <- madlib.rpart(rings < 10 ~ length + diameter + height + whole + shell,
           data=x, parms = list(split='gini'), control = list(cp=0.005))

    plot(fit, uniform=TRUE)
    text(fit, use.n=TRUE, all=TRUE)

    db.disconnect(cid)

    ## End(Not run)

[Package PivotalR version 0.1.18.3.1 Index]