WeatherPlay: Weather Conditions and Playing a Game

In partykitR1: A Toolkit for Recursive Partytioning (R1 Series)

Description

Artificial data set concerning the conditions suitable for playing some unspecified game.

Usage

data("WeatherPlay")

Format

A data frame containing 14 observations on 5 variables.

outlook

factor.

temperature

numeric.

humidity

numeric.

windy

factor.

play

factor.

Source

Table 1.3 in Witten and Frank (2011).

References

Witten IH, Frank E (2011). Data Mining: Practical Machine Learning Tools and Techniques. 3rd Edition, Morgan Kaufmann, San Francisco.

See Also

party, partynode, partysplit

Examples

## load weather data
data("WeatherPlay", package = "partykitR1")
WeatherPlay

## construct simple tree
pn <- partynode(1L,
  split = partysplit(1L, index = 1:3),
  kids = list(
    partynode(2L,
      split = partysplit(3L, breaks = 75),
      kids = list(
        partynode(3L, info = "yes"),
        partynode(4L, info = "no"))),
    partynode(5L, info = "yes"),
    partynode(6L,
      split = partysplit(4L, index = 1:2),
      kids = list(
        partynode(7L, info = "yes"),
        partynode(8L, info = "no")))))
pn

## couple with data
py <- party(pn, WeatherPlay)

## print/plot/predict
print(py)
plot(py)
predict(py, newdata = WeatherPlay)

## customize printing
print(py,
  terminal_panel = function(node) paste(": play=", info_node(node), sep = ""))

partykitR1 documentation built on May 2, 2019, 6:13 p.m.