Generic function to create a graph of experimental unit profiles of a data object created by the cg package.
A data object created with a
Additional arguments, depending on the specific method written for
the object. Currently, there is only one such specific method; see
Individual points are
jittered, and open circles
are used to alleviate potential overlap and the danger of representing
multiple points as a single point.
The profile graph for paired difference data is the simplest of profiles as each experimental unit has exactly two points connected by a straight line. Labels for the experimental units are added for identification.
Minimum and maximum values from ranges of data are respectively labeled in the bottom and top left corners of graph regions.
Tick marks are attempted to be chosen wisely. For log-scaled axes in
particular, leading digits of 2, 5, and 10 for values are included if
possible. Since the algorithm is empirical, the
argument is available for further refinement or complete replacement
The main purpose is the side effect of graphing to the current device. See the specific methods for discussion of any return values.
Contact email@example.com for bug reports, questions, concerns, and comments.
Bill Pikounis [aut, cre, cph], John Oleynick [aut], Eva Ye [ctb]
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data(anorexia.FT) anorexiaFT.data <- prepareCGPairedDifferenceData(anorexiaFT, format="groupcolumns", analysisname="Anorexia FT", endptname="Weight", endptunits="lbs", expunitname="Patient", digits=1, logscale=TRUE) profileGraph(anorexiaFT.data) # Graph the data on the original scale instead of the log scale. profileGraph(anorexiaFT.data, logscale=FALSE)