Description Usage Arguments Value See Also Examples
The part
function takes an S3
object generated by
evalmod
and calculate partial AUCs and Standardized partial
AUCs of ROC and Precision-Recall curves.
Standardized pAUCs are standardized to the range between 0 and 1.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | part(curves, xlim, ylim, curvetype)
## S3 method for class 'sscurves'
part(curves, xlim = c(0, 1), ylim = c(0, 1),
curvetype = c("ROC", "PRC"))
## S3 method for class 'mscurves'
part(curves, xlim = c(0, 1), ylim = c(0, 1),
curvetype = c("ROC", "PRC"))
## S3 method for class 'smcurves'
part(curves, xlim = c(0, 1), ylim = c(0, 1),
curvetype = c("ROC", "PRC"))
## S3 method for class 'mmcurves'
part(curves, xlim = c(0, 1), ylim = c(0, 1),
curvetype = c("ROC", "PRC"))
|
curves |
An
See the Value section of | |||||||||||||||
xlim |
A numeric vector of length two to specify x range between two points in [0, 1] | |||||||||||||||
ylim |
A numeric vector of length two to specify y range between two points in [0, 1] | |||||||||||||||
curvetype |
A character vector with the following curve types.
Multiple |
The part
function returns the same S3 object specified as
input with calculated pAUCs and standardized pAUCs.
evalmod
for generating S3
objects with
performance evaluation measures. pauc
for retrieving a dataset
of pAUCs.
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 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 | ## Not run:
## Load library
library(ggplot2)
##################################################
### Single model & single test dataset
###
## Load a dataset with 10 positives and 10 negatives
data(P10N10)
## Generate an sscurve object that contains ROC and Precision-Recall curves
sscurves <- evalmod(scores = P10N10$scores, labels = P10N10$labels)
## Calculate partial AUCs
sscurves.part <- part(sscurves, xlim = c(0.25, 0.75))
## Show AUCs
sscurves.part
## Plot partial curve
plot(sscurves.part)
## Plot partial curve with ggplot
autoplot(sscurves.part)
##################################################
### Multiple models & single test dataset
###
## Create sample datasets with 100 positives and 100 negatives
samps <- create_sim_samples(1, 100, 100, "all")
mdat <- mmdata(samps[["scores"]], samps[["labels"]],
modnames = samps[["modnames"]])
## Generate an mscurve object that contains ROC and Precision-Recall curves
mscurves <- evalmod(mdat)
## Calculate partial AUCs
mscurves.part <- part(mscurves, xlim = c(0, 0.75), ylim = c(0.25, 0.75))
## Show AUCs
mscurves.part
## Plot partial curves
plot(mscurves.part)
## Plot partial curves with ggplot
autoplot(mscurves.part)
##################################################
### Single model & multiple test datasets
###
## Create sample datasets with 100 positives and 100 negatives
samps <- create_sim_samples(4, 100, 100, "good_er")
mdat <- mmdata(samps[["scores"]], samps[["labels"]],
modnames = samps[["modnames"]],
dsids = samps[["dsids"]])
## Generate an smcurve object that contains ROC and Precision-Recall curves
smcurves <- evalmod(mdat)
## Calculate partial AUCs
smcurves.part <- part(smcurves, xlim = c(0.25, 0.75))
## Show AUCs
smcurves.part
## Plot partial curve
plot(smcurves.part)
## Plot partial curve with ggplot
autoplot(smcurves.part)
##################################################
### Multiple models & multiple test datasets
###
## Create sample datasets with 100 positives and 100 negatives
samps <- create_sim_samples(4, 100, 100, "all")
mdat <- mmdata(samps[["scores"]], samps[["labels"]],
modnames = samps[["modnames"]],
dsids = samps[["dsids"]])
## Generate an mscurve object that contains ROC and Precision-Recall curves
mmcurves <- evalmod(mdat, raw_curves = TRUE)
## Calculate partial AUCs
mmcurves.part <- part(mmcurves, xlim = c(0, 0.25))
## Show AUCs
mmcurves.part
## Plot partial curves
plot(mmcurves.part)
## Plot partial curves with ggplot
autoplot(mmcurves.part)
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.