plot_wbcc: Validation plots
In molepi/DNAmArray: Streamlined workflow for the quality control, normalization and bias-free analysis of Illumina methylation array data - The Leiden approach
View source: R/wbccPredictor.R
plot_wbcc R Documentation
Validation plots
Description
Plots to validate predictor a predictor trained using the train_wbcc function
Usage
plot_wbcc(measured, predicted, ...)
Arguments
measured
Measured cell percentages
predicted
Cell percentages predicted by the model
...
Additional parameters for plsr see ?plsr
Value
Correlation plots for measured and predicted cell percentages
Author(s)
ljsinke
molepi/DNAmArray documentation built on Aug. 24, 2022, 1:42 p.m.
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.
View source: R/wbccPredictor.R
| plot_wbcc | R Documentation |
Validation plots
Description
Plots to validate predictor a predictor trained using the train_wbcc function
Usage
plot_wbcc(measured, predicted, ...)
Arguments
measured |
Measured cell percentages |
predicted |
Cell percentages predicted by the model |
... |
Additional parameters for plsr see ?plsr |
Value
Correlation plots for measured and predicted cell percentages
Author(s)
ljsinke
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.