## 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, ...)
"none" (plot all curves separately), "horizontal" (horizontal averaging), "vertical" (vertical averaging), andmfrow = 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"none" (plot all curves separately), "horizontal" (horizontal averaging), "vertical" (vertical averaging), and "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"stderror"), standard deviation bars ("stddev"), or by using box plots ("none" (plot all curves separately), "horizontal" (horizontal averaging), "vertical" (vertical averaging), and "stderror"), standard deviation bars ("stddev"), or by using box plots ("stderror"), standard deviation bars ("stddev"), or by using box plots (transform = function(x) x^0.1 or a similar transformation of the values can be used. Note thatgof methods.xlim = 8.gof function and its methods. See the help page of gof-methods for details on how to compute gof.