| print.summary.fechner {fechner} | R Documentation |
Print Method for Objects of Class summary.fechner
Description
S3 method to print objects of the class summary.fechner.
Usage
## S3 method for class 'summary.fechner'
print(x, ...)
Arguments
x |
a required object of class |
... |
further arguments to be passed to or from other methods. They are ignored in this function. |
Details
The print method prints the summary information about objects
of the class fechner computed by
summary.fechner, which are the number of stimuli pairs
used for comparison, a summary of the corresponding S-index
values, a summary of the corresponding Fechnerian distance G
values, the Pearson correlation, the C-index, and the
comparison level. Specific summary information details such as
individual stimuli pairs and their corresponding S-index and
G values can be accessed through assignment (see
‘Examples’).
Value
If the argument x is of required type,
print.summary.fechner prints the afore mentioned summary
information in ‘Details’, and invisibly returns x.
Author(s)
Thomas Kiefer, Ali Uenlue. Based on original MATLAB source by Ehtibar N. Dzhafarov.
References
Dzhafarov, E. N. and Colonius, H. (2006) Reconstructing distances among objects from their discriminability. Psychometrika, 71, 365–386.
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/.
See Also
plot.fechner, the S3 method for plotting objects of
the class fechner; 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; fechner, the main function for
Fechnerian scaling, which creates objects of the class
fechner. See also fechner-package for general
information about this package.
Examples
## Fechnerian scaling of dataset \link{morse}
## summary information about the Fechnerian scaling object are printed
## accessing detailed summary through assignment
(detailed.summary <- summary(fechner(morse, format = "percent.same")))
str(detailed.summary)
detailed.summary$pairs.used.for.comparison[3, ]