termplot {stats} | R Documentation |

Plots regression terms against their predictors, optionally with standard errors and partial residuals added.

termplot(model, data=NULL, envir=environment(formula(model)), partial.resid=FALSE, rug=FALSE, terms=NULL, se=FALSE, xlabs=NULL, ylabs=NULL, main = NULL, col.term = 2, lwd.term = 1.5, col.se = "orange", lty.se = 2, lwd.se = 1, col.res = "gray", cex = 1, pch = par("pch"), col.smth = "darkred", lty.smth = 2, span.smth = 2/3, ask = interactive() && nb.fig < n.tms && .Device != "postscript", use.factor.levels = TRUE, smooth = NULL, ...)

`model` |
fitted model object |

`data` |
data frame in which variables in `model` can be
found |

`envir` |
environment in which variables in `model` can be found |

`partial.resid` |
logical; should partial residuals be plotted? |

`rug` |
add rugplots (jittered 1-d histograms) to the axes? |

`terms` |
which terms to plot (default `NULL` means all terms) |

`se` |
plot pointwise standard errors? |

`xlabs` |
vector of labels for the x axes |

`ylabs` |
vector of labels for the y axes |

`main` |
logical, or vector of main titles; if `TRUE` , the
model's call is taken as main title, `NULL` or `FALSE` mean
no titles. |

`col.term, lwd.term` |
color and line width for the “term curve”,
see `lines` . |

`col.se, lty.se, lwd.se` |
color, line type and line width for the
“twice-standard-error curve” when `se = TRUE` . |

`col.res, cex, pch` |
color, plotting character expansion and type
for partial residuals, when `partial.resid = TRUE` , see
`points` . |

`ask` |
logical; if `TRUE` , the user is asked before
each plot, see `par(ask=.)` . |

`use.factor.levels` |
Should x-axis ticks use factor levels or numbers for factor terms? |

`smooth` |
`NULL` or a function with the same arguments as
`panel.smooth` to draw a smooth through the partial
residuals for non-factor terms |

`lty.smth,col.smth, span.smth` |
Passed to `smooth` |

`...` |
other graphical parameters |

The model object must have a `predict`

method that accepts
`type=terms`

, eg `glm`

in the **base** package,
`coxph`

and `survreg`

in
the **survival** package.

For the `partial.resid=TRUE`

option it must have a
`residuals`

method that accepts `type="partial"`

,
which `lm`

and `glm`

do.

The `data`

argument should rarely be needed, but in some cases
`termplot`

may be unable to reconstruct the original data
frame. Using `na.action=na.exclude`

makes these problems less likely.

Nothing sensible happens for interaction terms.

For (generalized) linear models, `plot.lm`

and
`predict.glm`

.

had.splines <- "package:splines" %in% search() if(!had.splines) rs <- require(splines) x <- 1:100 z <- factor(rep(LETTERS[1:4],25)) y <- rnorm(100,sin(x/10)+as.numeric(z)) model <- glm(y ~ ns(x,6) + z) par(mfrow=c(2,2)) ## 2 x 2 plots for same model : termplot(model, main = paste("termplot( ", deparse(model$call)," ...)")) termplot(model, rug=TRUE) termplot(model, partial=TRUE, se = TRUE, main = TRUE) termplot(model, partial=TRUE, smooth=panel.smooth,span.smth=1/4) if(!had.splines && rs) detach("package:splines")

[Package *stats* version 2.5.0 Index]