plotOOBvsMTRY: Plotting the average OOB error and its 95% confidence...
In RFmarkerDetector: Multivariate Analysis of Metabolomics Data using Random Forests
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Plotting the average OOB error and its 95% confidence interval as a function of the mtry parameter
Usage
1
plotOOBvsMTRY(mean_matrix, ci_matrix)
Arguments
mean_matrix
a 1 x p matrix where p is the number of mtry values tested. Each value represents the average
OOB error obtained training multiple Random Forest models with a defined value of mtry
ci_matrix
a 2 x p matrix containing the extremes of the confidence interval of the average OOB error.
Value
a graphical representation of the average OOB error as a function of the mtry parameter.
Author(s)
Piergiorgio Palla
Examples
1
2
3
4
## data(cachexiaData)
## res <- tuneMTRY(cachexiaData, iterations = 5, maxntree = 600, mtry_length = 10, graph = F)
## l <- optimizeMTRY(res$oob)
## plotOOBvsMTRY(l$mean_matrix, l$ci_matrix)
RFmarkerDetector documentation built on May 2, 2019, 3:42 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Plotting the average OOB error and its 95% confidence interval as a function of the mtry parameter
Usage
1 | plotOOBvsMTRY(mean_matrix, ci_matrix)
|
Arguments
mean_matrix |
a 1 x p matrix where p is the number of mtry values tested. Each value represents the average OOB error obtained training multiple Random Forest models with a defined value of mtry |
ci_matrix |
a 2 x p matrix containing the extremes of the confidence interval of the average OOB error. |
Value
a graphical representation of the average OOB error as a function of the mtry parameter.
Author(s)
Piergiorgio Palla
Examples
1 2 3 4 | ## data(cachexiaData)
## res <- tuneMTRY(cachexiaData, iterations = 5, maxntree = 600, mtry_length = 10, graph = F)
## l <- optimizeMTRY(res$oob)
## plotOOBvsMTRY(l$mean_matrix, l$ci_matrix)
|
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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