Description Usage Arguments Value Author(s) See Also Examples

View source: R/plotEtAlquickPredict.R

`plot`

, `lines`

, `image`

, `contour`

and `persp`

methods for
`quickPredict`

objects.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
## S3 method for class 'quickPredict'
plot(x, y, xFct = function(x) x, style = c("band",
"simple"), ylim, meanCol = 2, meanWD = 2, bandCol = "grey50", xlab,
ylab, ...)
## S3 method for class 'quickPredict'
lines(x, what = c("mean", "upr", "lwr"),
xFct = function(x) x, ...)
## S3 method for class 'quickPredict'
image(x, main, xlab, ylab, ...)
## S3 method for class 'quickPredict'
contour(x, what = c("mean", "sd"), main, xlab, ylab, add,
...)
## S3 method for class 'quickPredict'
persp(x, what = c("mean", "sd"), main, xlab, ylab, zlab, ...)
``` |

`x` |
a |

`y` |
Not used but required by the plot method definition. |

`xFct` |
a function applied to the |

`style` |
a character string, either |

`ylim` |
see |

`meanCol` |
the color used to display the estimated mean of the term
(see argument |

`meanWD` |
the width used to display the estimated mean of the term
(see argument |

`bandCol` |
the color of the confidence interval ribbon when one is is drawn. |

`xlab, ylab, zlab` |
see |

`main` |
see |

`what` |
for |

`add` |
see |

`...` |
additional arguments to |

Nothing returned, these functions are used for their side effects: plots are generated or modified.

Christophe Pouzat [email protected]

`quickPredict`

,
`plot`

,
`lines`

`image`

,
`contour`

,
`persp`

,
`plot.ssanova`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ```
## Not run:
## Follow up of ssanova example of gss
data(nox)
nox.fit <- ssanova(log10(nox)~comp*equi,data=nox)
## get prediction for the first term, comp
comp.pred <- quickPredict(nox.fit)
## plot result with method plot for quickPredict objects
plot(comp.pred)
## get prediction for the second term, equi using the binary version
equi.pred <- nox.fit
plot(equi.pred)
## get prediction for the interaction term, comp:equi
comp.equi.pred <- nox.fit
## use image method image
image(comp.equi.pred)
## use contour method
contour(comp.equi.pred,col=2,lwd=2,labcex=1.5)
contour(comp.equi.pred,what="sd",lty=3,labcex=1.2,add=TRUE)
## use persp method
persp(comp.equi.pred,theta=-10,phi=20)
## End(Not run)
``` |

STAR documentation built on May 30, 2017, 3:06 a.m.

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