Description Usage Arguments Details Examples

Plot a trend on log-log paper.

1 2 3 4 5 6 7 8 9 10 11 12 | ```
LogLogPlot(
frame,
xvar,
yvar,
title,
...,
use_coord_trans = FALSE,
point_color = "black",
linear_color = "#018571",
quadratic_color = "#a6611a",
smoothing_color = "blue"
)
``` |

`frame` |
data frame to get values from |

`xvar` |
name of the independent (input or model) column in frame |

`yvar` |
name of the dependent (output or result to be modeled) column in frame |

`title` |
title to place on plot |

`...` |
no unnamed argument, added to force named binding of later arguments. |

`use_coord_trans` |
logical if TRUE, use coord_trans instead of |

`point_color` |
the color of the data points |

`linear_color` |
the color of the linear growth lines |

`quadratic_color` |
the color of the quadratic growth lines |

`smoothing_color` |
the color of the smoothing line through the data |

This plot is intended for plotting functions that are observed costs or durations as a function of problem size. In this case we expect the ideal or expected cost function to be non-decreasing. Any negative trends are assumed to arise from the noise model. The graph is specialized to compare non-decreasing linear and non-decreasing quadratic growth.

Some care must be taken in drawing conclusions from log-log plots, as the transform is fairly violent. Please see: "(Mar's Law) Everything is linear if plotted log-log with a fat magic marker" (from Akin's Laws of Spacecraft Design https://spacecraft.ssl.umd.edu/akins_laws.html), and "So You Think You Have a Power Law" http://bactra.org/weblog/491.html.

1 2 3 4 | ```
set.seed(5326)
frm = data.frame(x = 1:20)
frm$y <- 5 + frm$x + 0.2 * frm$x * frm$x + 0.1*abs(rnorm(nrow(frm)))
WVPlots::LogLogPlot(frm, "x", "y", title="Example Trend")
``` |

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