ahpsurvey: ahp.mat – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

ahp.mat

Generate AHP pairwise matrices from survey data

Description

ahp.mat takes in paired comparisons from survey data with questions using the analytic hierarchy process and converts it into pairwise comparison matrices for each individual decision-maker. Examples based on Saaty (2004).

Usage

ahp.mat(df, atts, negconvert = FALSE, reciprocal = TRUE)

Arguments

`df`	a dataframe, each row corresponding to one decision-maker, with columns ordered according to `atts`.
`atts`	a list of attributes in the correct order
`negconvert`	logical, whether to convert all positive values to negative. In the pairwise comparison A_B, if -6 denotes A is more important than B by 6 units, set `negconvert = TRUE`.
`reciprocal`	logical, whether to convert negative values (after `negconvert`) to its reciprocal. If the comparison A_B where B is more important than A was already entered in its reciprocal (e.g. 1/6), choose `reciprocal = FALSE`. When `reciprocal = FALSE`, do not set `negconvert = TRUE`.

Value

A list of pairwise comparison matrices of each decision-maker.

Author(s)

Frankie Cho

References

Saaty TL (2004). “Decision making — the Analytic Hierarchy and Network Processes (AHP/ANP).” Journal of Systems Science and Systems Engineering, 13(1), 1–35. ISSN 1861-9576, doi: 10.1007/s11518-006-0151-5, https://doi.org/10.1007/s11518-006-0151-5.

Examples

data(city200)
atts <- c('cult', 'fam', 'house', 'jobs', 'trans')
ahp.mat(df = city200, atts = atts, negconvert = TRUE)

ahpsurvey

Analytic Hierarchy Process for Survey Data

v0.4.1

MIT + file LICENSE

Authors

Frankie Cho [aut, cre]

Initial release