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I want to implement parallel coordinates for my muldimensional result. Does anyone have a good link to its implementation in matlab or R? Furthermore, are there any suggestions regarding the best tool to use for producing the parallel coordinates?
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The downside to Parallel Coordinates Plots, is that they can become over-cluttered and therefore, illegible when they're very data-dense. The best way to remedy this problem is through interactivity and a technique known as “brushing”.
A parallel coordinate plot maps each row in the data table as a line, or profile. Each attribute of a row is represented by a point on the line. This makes parallel coordinate plots similar in appearance to line charts, but the way data is translated into a plot is substantially different.
Setting up the Parallel Coordinates plotSelect the XLSTAT / Visualizing data / Parallel Coordinates Plot feature. The Parallel Coordinates Plot dialog box appears. In the General tab, select columns A to D in the Quantitative Data field, column E in the Qualitative Data field and column F in the Groups field.
R solution
lattice package comes with R and includes parallel function:
parallel(~iris[1:4] | Species, iris)
ggplot2 is also your friend here:
D <- data.frame(Gain = rnorm(20),
Trader = factor(LETTERS[1:4]),
Day = factor(rep(1:5, each = 4)))
ggplot(D) +
geom_line(aes(x = Trader, y = Gain, group = Day, color = Day))
lattice and ggplot require input data in different "shapes". For lattice it's a matrix form, each column is a variable represented on one parallel coordinate. For ggplot it's one column (Gains) and a separate indicator for the variable (Trader above). /this is the reason I used two different examples, not to mess with data reshaping here/.
If you need something quick, then lattice is probably for you. Ggplot requires some time investment.
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