plotDisMet: Plot Discriminative Metrics
In mikeniemant/nbs: What the Package Does (One Line, Title Case)
View source: R/dlcv_function.R
plotDisMet R Documentation
Plot Discriminative Metrics
Description
Functionality to plot both ROC and PRC curves for both the training and tests folds.
Usage
plotDisMet(x, bl = NA, group = "id", title = "", legend = F, breaks = F)
Arguments
x
Nested tibble object
bl
Discriminative metrics for a baseline model (sensitivity, specificity and PPV)
group
Group parameter
title
Plot title
legend
Boolean to visualise legend
breaks
Boolean to plot additional breaks and lines
Details
Version 1.0 2022-02-15
Value
Cowplot visualisation with four plots; ROC and PRC curves for both the training and tests folds.
mikeniemant/nbs documentation built on June 23, 2022, 4:52 a.m.
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View source: R/dlcv_function.R
| plotDisMet | R Documentation |
Plot Discriminative Metrics
Description
Functionality to plot both ROC and PRC curves for both the training and tests folds.
Usage
plotDisMet(x, bl = NA, group = "id", title = "", legend = F, breaks = F)
Arguments
x |
Nested tibble object |
bl |
Discriminative metrics for a baseline model (sensitivity, specificity and PPV) |
group |
Group parameter |
title |
Plot title |
legend |
Boolean to visualise legend |
breaks |
Boolean to plot additional breaks and lines |
Details
Version 1.0 2022-02-15
Value
Cowplot visualisation with four plots; ROC and PRC curves for both the training and tests folds.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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