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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