Christoph Glur gluc
gluc
/ mkdocs.yaml
Created
November 7, 2023 06:41
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| title: monorepo |
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| library(ahp) | |
| library(data.tree) | |
| vacation <- Load("vacation.ahp") | |
| # look at the structure | |
| vacation | |
| # look at some preference dfs |
gluc
/ port_risk.yaml
Last active
May 18, 2017 02:24
— forked from mayt1992/R code
port_risk.ahp for R
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| Version: 2.0 | |
| Alternatives: &alternatives | |
| Port 1: | |
| shortname: p1 | |
| Port 2: | |
| shortname: p2 | |
| Goal: | |
| name: Port Risk | |
| description: > | |
| Evaluate Port Risk in the perspective of the Belt and Road Initiative. |
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| library(data.tree) | |
| data(acme) | |
| acme$Set(len = runif(acme$totalCount)) | |
| # see ?as.data.frame.Node for more details | |
| ToDataFrameTree(acme, | |
| parent = function(node) node$parent$name, | |
| child = "name", | |
| len.parent = function(node) node$parent$len, | |
| len.child = "len", |
gluc
/ proveedor.yaml
Last active
March 28, 2017 19:27
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| Version: 2.0 | |
| ##################################### | |
| # Alternatives Section | |
| # | |
| Alternatives: &alternatives | |
| # Here, we list all the alternatives, together with their attributes. | |
| # We can use these attributes later in the file when defining | |
| # preferenceFunctions. The attributes can be quantitative or |
gluc
/ gist:b41ccd0af5d30c57ab97aca0facd49a0
Created
January 12, 2017 20:41
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| Fun: | |
| preferences: | |
| Dad: | |
| pairwise | |
| - [Cargo Capacity, Passenger Capacity, 1/5] | |
| Mom: | |
| pairwise | |
| - [Cargo Capacity, Passenger Capacity, 1/5] | |
| Kid: | |
| pairwise |
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| graph <- structure(list(graph_info = structure(list(graph_id = "i4wrALpq", | |
| graph_name = "graph_i4wrALpq", graph_time = structure(1482058166.83195, class = c("POSIXct", | |
| "POSIXt")), graph_tz = NA_character_, write_backups = FALSE), .Names = c("graph_id", | |
| "graph_name", "graph_time", "graph_tz", "write_backups"), row.names = c(NA, | |
| -1L), class = "data.frame"), nodes_df = structure(list( |
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| nodes <- structure(list(id = 1:11, style = c("", "", "", "", "", "", "", | |
| "", "", "", ""), shape = c("", "", "egg", "egg", "", "egg", "egg", | |
| "", "egg", "egg", "egg"), fillcolor = c("", "Thistle", "", "", | |
| "", "", "", "LightBlue", "LightBlue", "LightBlue", "LightBlue" | |
| ), fontname = c("", "", "", "", "", "", "", "", "", "", ""), | |
| tooltip = c("- name: Acme Inc.", "This is the accounting department", | |
| "- cost: 1e+06\n- p: 0.5", "- cost: 5e+05\n- p: 0.75", "- name: Research", | |
| "- cost: 2e+06\n- p: 0.25", "- cost: 750000\n- p: 0.9", "- name: IT", | |
| "- cost: 4e+05\n- p: 0.2", "- cost: 250000\n- p: 0.05", "- cost: 50000\n- p: 1" | |
| ), fontcolor = c("", "Firebrick", "", "", "", "", "", "", |
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| library(data.tree) | |
| library(xts) | |
| f <- read.csv("https://gist.githubusercontent.com/gluc/3969bcfb2ddce61d8bdec2f52c133674/raw/16b577a6842492153db8e95ede0062a6187e60ab/hts-data.csv", stringsAsFactors = FALSE) | |
| # construct tree | |
| # ============== | |
| # you may chose a different hierarchy order | |
| dfs <- data.frame(pathString = paste("rt", df$u_loc, df$u_code, df$c_code, df$citizenship, df$grade, sep = "/"), stringsAsFactors = FALSE) |
gluc
/ timeseries hierarchy.R
Created
August 22, 2016 02:32
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| library(data.tree) | |
| yaml <- " | |
| campus: | |
| south: | |
| label: campussouth | |
| north: | |
| label: campusnorth | |
| " |
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