fechner.
"plot"(x, level = 2, ...)fechner, obtained from a
    call to the function fechner.x and level are of required types,
  and if there are (off-diagonal) pairs of stimuli with geodesic loops
  containing at least level links, plot.fechner produces
  a plot, and invisibly returns NULL.
plot method graphs the results obtained from Fechnerian
  scaling analyses.  It produces a scatterplot of the overall
  Fechnerian distance $G$ versus the $S$-index, with rugs
  added to the axes and jittered (amount = 0.01 of noise) to
  accommodate ties in the $S$-index and $G$ values.  The
  diagonal line $y = x$ is for visual inspection of the deviations
  of the two types of values.  The level of comparison refers to the minimum number of links
  in geodesic loops.  That is, choosing level $n$ means that
  comparison involves only those $S$-index and $G$ values that
  have geodesic loops containing not less than $n$ links.
  If there are no (off-diagonal) pairs of stimuli with geodesic loops
  containing at least level links (in this case a plot is not
  possible), plot.fechner stops with an error message.
Dzhafarov, E. N. and Colonius, H. (2007) Dissimilarity cumulation theory and subjective metrics. Journal of Mathematical Psychology, 51, 290--304.
Uenlue, A. and Kiefer, T. and Dzhafarov, E. N. (2009) Fechnerian scaling in R: The package fechner. Journal of Statistical Software, 31(6), 1--24. URL http://www.jstatsoft.org/v31/i06/.
print.fechner, the S3 method for printing objects of
  the class fechner; summary.fechner, the S3
  method for summarizing objects of the class fechner, which
  creates objects of the class summary.fechner;
  print.summary.fechner, the S3 method for printing
  objects of the class summary.fechner; fechner,
  the main function for Fechnerian scaling, which creates objects of
  the class fechner.  See also fechner-package
  for general information about this package.
## Fechnerian scaling of dataset \link{wish}
f.scal.wish <- fechner(wish)
## results are plotted for comparison levels 2 and 5
plot(f.scal.wish)
plot(f.scal.wish, level = 5)
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