print.summary.fechner function

Print Method for Objects of Class summary.fechner

S3 method to print objects of the class summary.fechner.

## S3 method for class 'summary.fechner'
print(x, ...)

Arguments

• x: a required object of class summary.fechner, obtained from a call to the function summary.fechner (through generic function summary).
• ...: 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 ).

Returns

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 : 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, ]