Summary Method for ahpgaussian objects
summary.ahpgaussian.Rd
Returns (and prints) a summary list for ahpgaussian
) objects.
Usage
# S3 method for ahpgaussian
summary(object,
presentation=FALSE, ...)
Arguments
- object
A given object of the class
ahpgaussian
- presentation
Logic. If
TRUE
the summary of the classahpgaussian
is showed well formated in the screen, else, return a list. The default isFALSE
.- ...
Potential further arguments (require by generic).
Author
Cid Edson Povoas (cidedson@gmail.com)
References
dos Santos, M, Costa, I. P. de A., & Gomes, C. F. S. (2021) Multicriteria decision-making in the selection of warships: a new approach to the ahp method. International Journal of the Analytic Hierarchy Process, 13(1). <doi:10.13033/ijahp.v13i1.833>
Examples
##
## Example 1
## ahpgaussian
##
# ahpgaussian
cp <- ahpgaussian(cellphones)
summary(cp)
#> Table1 :
#> criteria min_max variable value sum norm mean
#> 1 Price min Xiaomi 6.666667e-04 1.422222e-03 0.4687500 0.3333333
#> 2 Camera max Xiaomi 1.200000e+01 4.400000e+01 0.2727273 0.3333333
#> 3 Storage max Xiaomi 6.400000e+01 3.200000e+02 0.2000000 0.3333333
#> 4 Battery Life max Xiaomi 2.400000e+01 5.200000e+01 0.4615385 0.3333333
#> 5 Weight min Xiaomi 1.063830e-02 2.751864e-02 0.3865852 0.3333333
#> 6 Price min Samsung 5.555556e-04 1.422222e-03 0.3906250 0.3333333
#> 7 Camera max Samsung 1.200000e+01 4.400000e+01 0.2727273 0.3333333
#> 8 Storage max Samsung 1.280000e+02 3.200000e+02 0.4000000 0.3333333
#> 9 Battery Life max Samsung 1.800000e+01 5.200000e+01 0.3461538 0.3333333
#> 10 Weight min Samsung 8.333333e-03 2.751864e-02 0.3028250 0.3333333
#> 11 Price min iPhone 2.000000e-04 1.422222e-03 0.1406250 0.3333333
#> 12 Camera max iPhone 2.000000e+01 4.400000e+01 0.4545455 0.3333333
#> 13 Storage max iPhone 1.280000e+02 3.200000e+02 0.4000000 0.3333333
#> 14 Battery Life max iPhone 1.000000e+01 5.200000e+01 0.1923077 0.3333333
#> 15 Weight min iPhone 8.547009e-03 2.751864e-02 0.3105898 0.3333333
#> sd factor
#> 1 0.17140086 0.5142026
#> 2 0.10497278 0.3149183
#> 3 0.11547005 0.3464102
#> 4 0.13507248 0.4052175
#> 5 0.04628057 0.1388417
#> 6 0.17140086 0.5142026
#> 7 0.10497278 0.3149183
#> 8 0.11547005 0.3464102
#> 9 0.13507248 0.4052175
#> 10 0.04628057 0.1388417
#> 11 0.17140086 0.5142026
#> 12 0.10497278 0.3149183
#> 13 0.11547005 0.3464102
#> 14 0.13507248 0.4052175
#> 15 0.04628057 0.1388417
#>
#> Table2 :
#> criteria factor
#> 1 Price 0.29902623
#> 2 Camera 0.18313568
#> 3 Storage 0.20144925
#> 4 Battery Life 0.23564768
#> 5 Weight 0.08074116
#>
#> Table3 :
#> variable punctuation rank
#> 1 Xiaomi 0.3703783 1
#> 2 Samsung 0.3533537 2
#> 3 iPhone 0.2762680 3
#>