invTranPlot | R Documentation |

`invTranPlot`

draws a two-dimensional scatterplot of *Y* versus
*X*, along with the OLS
fit from the regression of *Y* on
*(X?^(lam)-1)/lam*. `invTranEstimate`

finds the nonlinear least squares estimate of *lambda* and its
standard error.

invTranPlot(x, ...) ## S3 method for class 'formula' invTranPlot(x, data, subset, na.action, id=FALSE, ...) ## Default S3 method: invTranPlot(x, y, lambda=c(-1, 0, 1), robust=FALSE, lty.lines=rep(c("solid", "dashed", "dotdash", "longdash", "twodash"), length=1 + length(lambda)), lwd.lines=2, col=carPalette()[1], col.lines=carPalette(), xlab=deparse(substitute(x)), ylab=deparse(substitute(y)), family="bcPower", optimal=TRUE, key="auto", id=FALSE, grid=TRUE, ...) invTranEstimate(x, y, family="bcPower", confidence=0.95, robust=FALSE)

`x` |
The predictor variable, or a formula with a single response and a single predictor |

`y` |
The response variable |

`data` |
An optional data frame to get the data for the formula |

`subset` |
Optional, as in |

`na.action` |
Optional, as in |

`lambda` |
The powers used in the plot. The optimal power than minimizes
the residual sum of squares is always added unless optimal is |

`robust` |
If |

`family` |
The transformation family to use, |

`confidence` |
returns a profile likelihood confidence interval for the optimal
transformation with this confidence level. If |

`optimal` |
Include the optimal value of lambda? |

`lty.lines` |
line types corresponding to the powers |

`lwd.lines` |
the width of the plotted lines, defaults to 2 times the standard |

`col` |
color(s) of the points in the plot. If you wish to distinguish points
according to the levels of a factor, we recommend using symbols, specified with
the |

`col.lines` |
color of the fitted lines corresponding to the powers. The
default is to use the colors returned by |

`key` |
The default is |

`xlab` |
Label for the horizontal axis. |

`ylab` |
Label for the vertical axis. |

`id` |
controls point identification; if |

`...` |
Additional arguments passed to the plot method, such as |

`grid` |
If TRUE, the default, a light-gray background grid is put on the graph |

`invTranPlot`

plots a graph and returns a data frame with *lam* in the
first column, and the residual sum of squares from the regression
for that *lam* in the second column.

`invTranEstimate`

returns a list with elements `lambda`

for the
estimate, `se`

for its standard error, and `RSS`

, the minimum
value of the residual sum of squares.

Sanford Weisberg, sandy@umn.edu

Fox, J. and Weisberg, S. (2011)
*An R Companion to Applied Regression*, Second Edition, Sage.

Prendergast, L. A., & Sheather, S. J. (2013)
On sensitivity of inverse response plot estimation and the benefits of a robust estimation approach. *Scandinavian Journal of Statistics*, 40(2), 219-237.

Weisberg, S. (2014) *Applied Linear Regression*, Fourth Edition, Wiley, Chapter 7.

`inverseResponsePlot`

,`optimize`

with(UN, invTranPlot(ppgdp, infantMortality)) with(UN, invTranEstimate(ppgdp, infantMortality))

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