PlotQQ: Normal quantile-quantile (Q-Q) plot.
In GaSP: Train and Apply a Gaussian Stochastic Process Model
PlotQQ R Documentation
Normal quantile-quantile (Q-Q) plot.
Description
Normal quantile-quantile (Q-Q) plot of the standardized residuals
of predictions from Predict or CrossValidate.
Usage
PlotQQ(y_pred, y, y_name = "y")
Arguments
y_pred
A data frame of predicted output values
made by Predict or CrossValidate.
y
A vector of length equal to the number of rows in y_pred
containing the true output values.
y_name
An optional character string containing the output variable name
(for labels).
Value
No return value, generates plots.
Examples
PlotQQ(borehole_cv, y)
GaSP documentation built on June 27, 2024, 5:11 p.m.
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| PlotQQ | R Documentation |
Normal quantile-quantile (Q-Q) plot.
Description
Normal quantile-quantile (Q-Q) plot of the standardized residuals
of predictions from Predict or CrossValidate.
Usage
PlotQQ(y_pred, y, y_name = "y")
Arguments
y_pred |
A data frame of predicted output values
made by |
y |
A vector of length equal to the number of rows in |
y_name |
An optional character string containing the output variable name (for labels). |
Value
No return value, generates plots.
Examples
PlotQQ(borehole_cv, y)
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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