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Learning R hands on

Learning R hands on. Organization of Folders:. Class Data folder has datasets (end in . csv or . rda ) Rcode has the scripts of R commands that can cut and pasted into an R window (end in .R) Ppt has the powerpoints. The Basics Rintro.R. Reading in comma separated data

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Learning R hands on

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  1. Learning R hands on

  2. Organization of Folders: • Class Data folder has datasets (end in .csvor .rda) • Rcode has the scripts of R commands that can cut and pasted into an R window (end in .R) • Ppt has the powerpoints

  3. The Basics Rintro.R • Reading in comma separated data • Listing a data set or its components • Subscripts • Sequences and combing values (: and “c”) • Creating a new data set with <- • Arithmetic in R • Applying some stats to data • Saving your work

  4. Fooling with the data RintroManipulating.R • Subscripting to get a subset of data • Working with rows and columns • Arithmetic on a column at once Pay attention to where the commas are! e.g. BT2[3,5] BT2[3,] BT2[,5] BT2[,3:5] or BT2[1:10,3:5] These are all different!

  5. Plotting DataRintroPlotting.R • Histogram hist • Adding more features to the plot • Scatterplots using plot • Box plots for several data sets boxplot • Adding text to a scatter plot • Changing the axes scales Build a complicated plot by adding features through several simple steps

  6. Writing functionsRintroFunctions.R • The uses for { } and ( ) • What goes in and what comes out • Listing a function • Optional arguments • Calling a function and assigning its results to a new data set • Review of R arithmetic

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