rm.plot (acronym for raw-means plot) is a function for visualizing results of experimental designs with up to two factors (i.e., conditions). The main feature is that it plots both the raw data in the background and superimposed the means to provide a better and more accurate visualization of the underlying distribution. To distinguish between factor levels which would be at the same x-axis position in classical plots, each factor level is offseted from the other factor levels.
|License:||GPL (>= 2)|
rm.plot for the function, and
rm.plot2 for the wrapper when the data has more than two factors.
add.ps can be used to compare the values at each x-axis position by adding p-values of t-tests to the plots.
see http://www.psychologie.uni-freiburg.de/Members/singmann/R/rm.plot for theoretical background
Henrik Singmann <[email protected]>
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