Description Usage Arguments Details Value Note See Also Examples

Uses the main output and some error messages from R function 'predict' but gives you more output. (Error messages are not reliable when used in Splus.)

1 | ```
predict20x(object, newdata, cilevel = 0.95, digit = 3, print.out = TRUE, ...)
``` |

`object` |
an |

`newdata` |
prediction data frame. |

`cilevel` |
confidence level of the interval. |

`digit` |
decimal numbers after the point. |

`print.out` |
if |

`...` |
optional arguments that are passed to the generic 'predict' |

Note: The data frame, newdata, must have the same column order and data types (e.g. numeric or factor) as those used in fitting the model.

`frame` |
vector or matrix including predicted values, confidence intervals and predicted intervals. |

`fit` |
prediction values. |

`se.fit` |
standard error of predictions. |

`residual.scale` |
residual standard deviations. |

`df` |
degrees of freedom for residual. |

`cilevel` |
confidence level of the interval. |

This function is deprecated. It will be removed in future versions of the package.

this function is deprecated as it is never used in class any more. We prefer the standard `predict`

method.

`predict`

, `predict.lm`

, `as.data.frame`

.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
# Zoo data
data(zoo.df)
zoo.df = within(zoo.df, {day.type = factor(day.type)})
zoo.fit = lm(log(attendance) ~ time + sun.yesterday + nice.day + day.type + tv.ads,
data = zoo.df)
pred.zoo = data.frame(time = 8, sun.yesterday = 10.8, nice.day = 0,
day.type = factor(3), tv.ads = 1.181)
predict20x(zoo.fit, pred.zoo)
# Peruvian Indians data
data(peru.df)
peru.fit = lm(BP ~ age + years + I(years^2) + weight + height, data = peru.df)
pred.peru = data.frame(age = 21, years = 2, `I(years^2)` = 2, weight = 71, height = 1629)
predict20x(peru.fit, pred.peru)
``` |

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