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

Vector Data

To interactively create a vector of data use the scan function which can, for example, read data you type until it finds an empty line:

> ds <- scan()
1: 20 35 15 55
5: 40 27 37 47
9:
Read 8 items
> ds
[1] 20 35 15 55 40 27 37 47

Alternatively, you may have a simple list of numbers in one of your windows and simply wish to load this into a vector. For example, select the list of numbers below (e.g., hold down the left mouse button while you highlight the list of numbers).

54 56 57 59 63 64 66 68 68 72 72 75 76 81 84 88 106

In the R window specify the filename to be clipboard and the selected numbers will be read. For example:

> ds <- scan("clipboard")
Read 17 items
> ds
 [1]  54  56  57  59  63  64  66  68  68  72  72  75  76  81  84  88 106

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