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INTRODUCTION

iPlots is a package which provides interactive statistical graphics, written in Java. You can find many interesting plots such as histograms, barcharts, scatterplots, boxplots, fluctuation diagrams, parallel coordinates plots and spineplots. The amazing part is that all of these plots support querying, linked highlighting, color brushing, and interactive changing of parameters.

Look at the examples given and try to understand the logic behind them. Then try to solve the exercises below using R and without looking at the answers. Then check the solutions.

Exercise 1

Install and call the packages iplots and MASS in your working environment and then attach the dataset “Cars93”.

Exercise 2

Create a mosaic plot of the variables “AirBags”, “Cylinders” and “Origin” of the “Cars93” dataset. HINT: Use imosaic().

Exercise 3

Create a barchart of the variable “Fuel.tank.capacity” of the “Cars93” dataset. HINT: Use ibar().

Exercise 4

Get a spineplot of the barchart you created in Exercise 3. HINT: Use spineplot.

Exercise 5

See how the variable “Type” is ordered. HINT: Use levels().

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Exercise 6

Reverse the order of the variable “Type”, name it “Type2” and check the order of “Type2”. HINT: Use ordered() and levels().

Exercise 7

Plot the barcharts of “Type” and “Type2” and spot the difference. HINT: Use ibar().

Exercise 8

Make a Parallel Coordinate Plot for all the continuous variables of “Cars93”. HINT: Use ipcp().

Exercise 9

Make a parallel boxplot for all “price” variables. HINT: Use ibox().

Exercise 10

Split the boxplot for “Wheelbase” by number of “Cylinders”. HINT: Use ibox().