DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home List of Figures List of Tables Data Mining Data Mining Data Mining with Rattle Introduction Data Transform Explore A Model Building Framework Unsupervised Modelling Two Class Models Multi Class Models Regression Models Text Mining Evaluation and Deployment Moving into R Troubleshooting R for the Data Miner R Data Graphics in R Understanding Data Preparing Data Building Models Evaluating Models Algorithms Apriori Bagging Bayes Classifier Boosting Cluster Analysis Conditional Trees Hierarchical Clustering K-Means K-Nearest Neighbours Linear Models Logistic Regression Neural Networks Support Vector Machines Text Mining Open Products AlphaMiner Borgelt Data Mining Suite KNime R Rattle Weka Closed Products C4.5 Clementine Equbits Foresight GhostMiner InductionEngine ODM Enterprise Miner Statistica Data Miner TreeNet Virtual Predict Appendicies Glossary Bibliography Index

Objects

R provides an object oriented interface, with inheritance and objects with attributes. For an object with attributes you can access the attributes with the attr function or the @ operator:

> attr(obj, "age")
> obj@age

The get function is useful to transform a string into the name of an object:

> ds <- 1:5
> ds
> ds
[1] 1 2 3 4 5
> "ds"
[1] "ds"
> get("ds")
[1] 1 2 3 4 5
> get(ds)
Error in get(x, envir, mode, inherits) : invalid first argument

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