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btergm (version 1.7.3)

gof-plot: Plot and print methods for gof output.

Description

Plot and print methods for goodness-of-fit output for network models.

Usage

## S3 method for class 'boxplot':
plot(x, relative = TRUE, transform = function(x) x, 
    xlim = NULL, main = x$label, xlab = x$label, ylab = "Frequency", 
    border = "darkgray", boxplot.lwd = 0.8, outline = FALSE, 
    median = TRUE, median.col = "black", median.lty = "solid", 
    median.lwd = 2, mean = TRUE, mean.col = "black", 
    mean.lty = "dashed", mean.lwd = 1, ...)

## S3 method for class 'gof': plot(x, mfrow = TRUE, ...)

## S3 method for class 'pr': plot(x, add = FALSE, main = x$label, avg = c("none", "horizontal", "vertical", "threshold"), spread.estimate = c("boxplot", "stderror", "stddev"), lwd = 3, rgraph = TRUE, col = "#5886be", random.col = "#5886be44", pr.poly = 0, ...)

## S3 method for class 'roc': plot(x, add = FALSE, main = x$label, avg = c("none", "horizontal", "vertical", "threshold"), spread.estimate = c("boxplot", "stderror", "stddev"), lwd = 3, rgraph = TRUE, col = "#bd0017", random.col = "#bd001744", ...)

## S3 method for class 'rocpr': plot(x, main = x$label, roc.avg = c("none", "horizontal", "vertical", "threshold"), roc.spread.estimate = c("boxplot", "stderror", "stddev"), roc.lwd = 3, roc.rgraph = TRUE, roc.col = "#bd0017", roc.random.col = "#bd001744", pr.avg = c("none", "horizontal", "vertical", "threshold"), pr.spread.estimate = c("boxplot", "stderror", "stddev"), pr.lwd = 3, pr.rgraph = TRUE, pr.col = "#5886be", pr.random.col = "#5886be44", pr.poly = 0, ...)

## S3 method for class 'univariate': plot(x, main = x$label, sim.hist = TRUE, sim.bar = TRUE, sim.density = TRUE, obs.hist = FALSE, obs.bar = TRUE, obs.density = TRUE, sim.adjust = 1, obs.adjust = 1, sim.lwd = 2, obs.lwd = 2, sim.col = "black", obs.col = "red", ...)

## S3 method for class 'boxplot': print(x, ...)

## S3 method for class 'gof': print(x, ...)

## S3 method for class 'pr': print(x, ...)

## S3 method for class 'roc': print(x, ...)

## S3 method for class 'rocpr': print(x, ...)

## S3 method for class 'univariate': print(x, ...)

Arguments

add
Add the ROC and/or PR curve to an existing plot?
avg
Averaging pattern for the ROC and PR curve(s) if multiple target time steps were used. Allowed values are "none" (plot all curves separately), "horizontal" (horizontal averaging), "vertical" (vertical averaging), and
border
Color of the borders of the boxplots.
boxplot.lwd
Line width of boxplot.
col
Color of the ROC or PR curve.
lwd
Line width.
main
Main title of a GOF plot.
mean
Plot the mean curve for the observed network?
mean.col
Color of the mean of the observed network statistic.
mean.lty
Line type of mean line. For example "dashed" or "solid".
mean.lwd
Line width of mean line.
median
Plot the median curve for the observed network?
median.col
Color of the median of the observed network statistic.
median.lty
Line type of median line. For example "dashed" or "solid".
median.lwd
Line width of median line.
mfrow
Should the GOF plots come out separately (mfrow = FALSE), or should all statistics be aligned in a single diagram (mfrow = TRUE)? Returning the plots separately can be helpful if the output is redirected to a multipage PDF or TIF
obs.adjust
Bandwidth adjustment parameter for the density curve.
obs.bar
Draw a bar for the median of the statistic for the observed networks?
obs.col
Color for the observed network(s).
obs.density
Draw a density curve fot the statistic for the observed networks?
obs.hist
Draw a histogram for the observed networks?
obs.lwd
Line width for the observed network(s).
outline
Print outliers in the boxplots?
pr.avg
Averaging pattern for the PR curve(s) if multiple target time steps were used. Allowed values are "none" (plot all curves separately), "horizontal" (horizontal averaging), "vertical" (vertical averaging), and "
pr.col
Color of the PR curve.
pr.lwd
Line width.
pr.poly
If a value of 0 is set, nothing special happens. If a value of 1 is set, a straight line is fitted through the PR curve and displayed. Values between 2 and 9 fit higher-order polynomial curves through th
pr.random.col
Color of the PR curve of the random graph prediction.
pr.rgraph
Should an PR curve also be drawn for a random graph? This serves as a baseline against which to compare the actual PR curve.
pr.spread.estimate
When multiple target time steps are used and curve averaging is enabled, the variation around the average curve can be visualized as standard error bars ("stderror"), standard deviation bars ("stddev"), or by using box plots (
random.col
Color of the ROC or PR curve of the random graph prediction.
relative
Print relative frequencies (as opposed to absolute frequencies) of a statistic on the y axis?
rgraph
Should an ROC or PR curve also be drawn for a random graph? This serves as a baseline against which to compare the actual ROC or PR curve.
roc.avg
Averaging pattern for the ROC curve(s) if multiple target time steps were used. Allowed values are "none" (plot all curves separately), "horizontal" (horizontal averaging), "vertical" (vertical averaging), and
roc.col
Color of the ROC curve.
roc.lwd
Line width.
roc.random.col
Color of the ROC curve of the random graph prediction.
roc.rgraph
Should an ROC curve also be drawn for a random graph? This serves as a baseline against which to compare the actual ROC curve.
roc.spread.estimate
When multiple target time steps are used and curve averaging is enabled, the variation around the average curve can be visualized as standard error bars ("stderror"), standard deviation bars ("stddev"), or by using box plots (
sim.adjust
Bandwidth adjustment parameter for the density curve.
sim.bar
Draw a bar for the median of the statistic for the simulated networks?
sim.col
Color for the simulated networks.
sim.density
Draw a density curve fot the statistic for the simulated networks?
sim.hist
Draw a histogram for the simulated networks?
sim.lwd
Line width for the simulated networks.
spread.estimate
When multiple target time steps are used and curve averaging is enabled, the variation around the average curve can be visualized as standard error bars ("stderror"), standard deviation bars ("stddev"), or by using box plots (
transform
A function which transforms the y values used for the boxplots. For example, if some of the values become very large and make the output illegible, transform = function(x) x^0.1 or a similar transformation of the values can be used. Note that
x
An object created by one of the gof methods.
xlab
Label of the x-axis of a GOF plot.
xlim
Horizontal limit of the boxplots. Only the maximum value must be provided, e.g., xlim = 8.
ylab
Label of the y-axis of a GOF plot.
...
Arbitrary further arguments.

Details

These plot and print methods serve to display the output generated by the gof function and its methods. See the help page of gof-methods for details on how to compute gof.

See Also

btergm-package gof gof-methods gof-statistics