Using a few different ensemble methods, including Random Forests, survival on the Titantic is predicated.
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"caret-demonstration.R" demonstration of the Caret package using the sonar data set.
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"demonstration-ggplot-multipleLine.R" demonstration of multiple line using GGplot2
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"mTitanic.csv" Basic Titanic data set with missing ages
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"mTitanicAge.csv" Titanic data set with missing ages being replaced by predicted ages.
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"titanic-ada-caret.R" Uses the Caret package and Ada Boost to create 486 models and then choose the best model
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"titanic-forest-age.R" Uses Random Forests to predict missing ages (randomForest package)
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"titanic-forest-party-survived.R" Uses Random Forests to predict survival (party package)
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"titanic-forest-surived-matrix.R" Incomplete. Graphing of Random Forest Monte Carlo simulation
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"titanic-forest-survived.R" Uses Random Forests to predict survival (randomForest package)
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"titanic-gbm-survived.R" Uses generalised boosing models to predict survival (gbm package)
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"titanic-rforest-caret.R" Uses the Caret package to generate 9 models and then choose the best (randomForest)