Description Usage Arguments Details Value References See Also Examples

The plot method for `regvec3d`

objects uses the low-level graphics tools in this package to draw 3D and 3D
vector diagrams reflecting the partial and marginal
relations of `y`

to `x1`

and `x2`

in a bivariate multiple linear regression model,
`lm(y ~ x1 + x2)`

.

The `summary`

method prints the vectors and their vector lengths, followed by the `summary`

for the model.

Print method for regvec3d objects

1 2 3 4 5 6 7 8 9 10 11 12 | ```
## S3 method for class 'regvec3d'
plot(x, y, dimension = 3, col = c("black", "red", "blue",
"brown", "lightgray"), col.plane = "gray", cex.lab = 1.2, show.base = 2,
show.marginal = FALSE, show.hplane = TRUE, show.angles = TRUE,
error.sphere = c("none", "e", "y.hat"), scale.error.sphere = x$scale,
level.error.sphere = 0.95, grid = FALSE, add = FALSE, ...)
## S3 method for class 'regvec3d'
summary(object, ...)
## S3 method for class 'regvec3d'
print(x, ...)
``` |

`x` |
A “regvec3d” object |

`y` |
Ignored; only included for compatibility with the S3 generic |

`dimension` |
Number of dimensions to plot: |

`col` |
A vector of 5 colors. |

`col.plane` |
Color of the base plane in a 3D plot or axes in a 2D plot |

`cex.lab` |
character expansion applied to vector labels. May be a number or numeric vector corresponding to the the
rows of |

`show.base` |
If |

`show.marginal` |
If |

`show.hplane` |
If |

`show.angles` |
If |

`error.sphere` |
Plot a sphere (or in 2D, a circle) of radius proportional to the length of
the residual vector, centered either at the origin ( |

`scale.error.sphere` |
Whether to scale the error sphere if |

`level.error.sphere` |
The confidence level for the error sphere, applied if |

`grid` |
If |

`add` |
If |

`...` |
Parameters passed down to functions [unused now] |

`object` |
A |

A 3D diagram shows the vector `y`

and the plane formed by the predictors,
`x1`

and `x2`

, where all variables are represented in deviation form, so that
the intercept need not be included.

A 2D diagram, using the first two columns of the result, can be used to show the projection
of the space in the `x1`

, `x2`

plane.

The drawing functions `vectors`

and `link{vectors3d}`

used by the `plot.regvec3d`

method only work
reasonably well if the variables are shown on commensurate scales, i.e., with
either `scale=TRUE`

or `normalize=TRUE`

.

None

Fox, J. (2016). *Applied Regression Analysis and Generalized Linear Models*, 3rd ed., Sage, Chapter 10.

Other vector diagrams: `Proj`

,
`arc`

, `arrows3d`

,
`corner`

, `pointOnLine`

,
`regvec3d`

, `vectors3d`

,
`vectors`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
if (require(carData)) {
data("Duncan", package="carData")
dunc.reg <- regvec3d(prestige ~ income + education, data=Duncan)
plot(dunc.reg)
plot(dunc.reg, dimension=2)
plot(dunc.reg, error.sphere="e")
summary(dunc.reg)
# Example showing Simpson's paradox
data("States", package="carData")
states.vec <- regvec3d(SATM ~ pay + percent, data=States, scale=TRUE)
plot(states.vec, show.marginal=TRUE)
plot(states.vec, show.marginal=TRUE, dimension=2)
summary(states.vec)
}
``` |

matlib documentation built on April 4, 2018, 5:03 p.m.

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