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This vignette shows how to use the viewAHPtree() function to build a hierarchical AHP structure from an Excel file. The example file is bundled with the package.
We assume the AHP structure is in the “ahp” sheet.
AHPstruc <- read_excel(file, sheet = "ahp")
print(AHPstruc, n=Inf)
#> # A tibble: 15 × 3
#> Node Parent Children_Ordered
#> <chr> <chr> <chr>
#> 1 G <NA> C1,C2,C3
#> 2 C1 G C1.1,C1.2
#> 3 C2 G C2.1,C2.2,C2.3
#> 4 C3 G C3.1,C3.2
#> 5 C2.1 C2 C2.1.1,C2.1.2
#> 6 C2.3 C2 C2.3.1,C2.3.2
#> 7 C1.1 C1 A1,A2,A3,A4
#> 8 C1.2 C1 A1,A2,A3,A4
#> 9 C2.2 C2 A1,A2,A3,A4
#> 10 C3.1 C3 A1,A2,A3,A4
#> 11 C3.2 C3 A1,A2,A3,A4
#> 12 C2.1.1 C2.1 A1,A2,A3,A4
#> 13 C2.1.2 C2.1 A1,A2,A3,A4
#> 14 C2.3.1 C2.3 A1,A2,A3,A4
#> 15 C2.3.2 C2.3 A1,A2,A3,A4
print(tree, "level", limit = NULL)
#> levelName level
#> 1 G 1
#> 2 ¦--C1 2
#> 3 ¦ ¦--C1.1 3
#> 4 ¦ ¦ ¦--A1 4
#> 5 ¦ ¦ ¦--A2 4
#> 6 ¦ ¦ ¦--A3 4
#> 7 ¦ ¦ °--A4 4
#> 8 ¦ °--C1.2 3
#> 9 ¦ ¦--A1 4
#> 10 ¦ ¦--A2 4
#> 11 ¦ ¦--A3 4
#> 12 ¦ °--A4 4
#> 13 ¦--C2 2
#> 14 ¦ ¦--C2.1 3
#> 15 ¦ ¦ ¦--C2.1.1 4
#> 16 ¦ ¦ ¦ ¦--A1 5
#> 17 ¦ ¦ ¦ ¦--A2 5
#> 18 ¦ ¦ ¦ ¦--A3 5
#> 19 ¦ ¦ ¦ °--A4 5
#> 20 ¦ ¦ °--C2.1.2 4
#> 21 ¦ ¦ ¦--A1 5
#> 22 ¦ ¦ ¦--A2 5
#> 23 ¦ ¦ ¦--A3 5
#> 24 ¦ ¦ °--A4 5
#> 25 ¦ ¦--C2.2 3
#> 26 ¦ ¦ ¦--A1 4
#> 27 ¦ ¦ ¦--A2 4
#> 28 ¦ ¦ ¦--A3 4
#> 29 ¦ ¦ °--A4 4
#> 30 ¦ °--C2.3 3
#> 31 ¦ ¦--C2.3.1 4
#> 32 ¦ ¦ ¦--A1 5
#> 33 ¦ ¦ ¦--A2 5
#> 34 ¦ ¦ ¦--A3 5
#> 35 ¦ ¦ °--A4 5
#> 36 ¦ °--C2.3.2 4
#> 37 ¦ ¦--A1 5
#> 38 ¦ ¦--A2 5
#> 39 ¦ ¦--A3 5
#> 40 ¦ °--A4 5
#> 41 °--C3 2
#> 42 ¦--C3.1 3
#> 43 ¦ ¦--A1 4
#> 44 ¦ ¦--A2 4
#> 45 ¦ ¦--A3 4
#> 46 ¦ °--A4 4
#> 47 °--C3.2 3
#> 48 ¦--A1 4
#> 49 ¦--A2 4
#> 50 ¦--A3 4
#> 51 °--A4 4
file <- system.file("extdata", "example_automobile.xlsx", package = "AHPtools")
AHPstruc2 <- read_excel(file, sheet = "AHP")
print(AHPstruc2, n=Inf)
#> # A tibble: 5 × 3
#> Node Parent Children_Ordered
#> <chr> <chr> <chr>
#> 1 G <NA> HRT,MDC,SCD,SSR
#> 2 HRT G PTS,TUR,OCL
#> 3 MDC G AM, RC, SC
#> 4 SCD G SD,ES,RLA,IGI,GT
#> 5 SSR G SSP, EA, CSR, SE, FR
tree <- viewAHPtree(AHPstruc2)
print(tree, "level", limit = NULL)
#> levelName level
#> 1 G 1
#> 2 ¦--HRT 2
#> 3 ¦ ¦--PTS 3
#> 4 ¦ ¦--TUR 3
#> 5 ¦ °--OCL 3
#> 6 ¦--MDC 2
#> 7 ¦ ¦--AM 3
#> 8 ¦ ¦-- RC 3
#> 9 ¦ °-- SC 3
#> 10 ¦--SCD 2
#> 11 ¦ ¦--SD 3
#> 12 ¦ ¦--ES 3
#> 13 ¦ ¦--RLA 3
#> 14 ¦ ¦--IGI 3
#> 15 ¦ °--GT 3
#> 16 °--SSR 2
#> 17 ¦--SSP 3
#> 18 ¦-- EA 3
#> 19 ¦-- CSR 3
#> 20 ¦-- SE 3
#> 21 °-- FR 3
The viewAHPtree() function processes the input data to build the hierarchical structure of criteria and sub-criteria used in AHP. This vignette demonstrates loading the data and visualizing the tree structure.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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