1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plotResiduals.R
\name{plotResiduals}
\alias{plotResiduals}
\title{Create residual plots for prediction objects or benchmark results.}
\usage{
plotResiduals(
obj,
type = "scatterplot",
loess.smooth = TRUE,
rug = TRUE,
pretty.names = TRUE
)
}
\arguments{
\item{obj}{(\link{Prediction} | \link{BenchmarkResult})\cr
Input data.}
\item{type}{Type of plot. Can be \dQuote{scatterplot}, the default. Or
\dQuote{hist}, for a histogram, or in case of classification problems
a barplot, displaying the residuals.}
\item{loess.smooth}{(\code{logical(1)})\cr
Should a loess smoother be added to the plot? Defaults to \code{TRUE}.
Only applicable for regression tasks and if \code{type} is set to \code{scatterplot}.}
\item{rug}{(\code{logical(1)})\cr
Should marginal distributions be added to the plot? Defaults to \code{TRUE}.
Only applicable for regression tasks and if \code{type} is set to \code{scatterplot}.}
\item{pretty.names}{(\code{logical(1)})\cr
Whether to use the short name of the learner instead of its ID in labels.
Defaults to \code{TRUE}. \cr
Only applicable if a \link{BenchmarkResult}
is passed to \code{obj} in the function call, ignored otherwise.}
}
\value{
ggplot2 plot object.
}
\description{
Plots for model diagnostics. Provides scatterplots of true vs. predicted values
and histograms of the model's residuals.
}
\seealso{
Other plot:
\code{\link{createSpatialResamplingPlots}()},
\code{\link{plotBMRBoxplots}()},
\code{\link{plotBMRRanksAsBarChart}()},
\code{\link{plotBMRSummary}()},
\code{\link{plotCalibration}()},
\code{\link{plotCritDifferences}()},
\code{\link{plotLearningCurve}()},
\code{\link{plotPartialDependence}()},
\code{\link{plotROCCurves}()},
\code{\link{plotThreshVsPerf}()}
}
\concept{plot}
|
