Cradle through consumer BEA

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Question

What are the life-cycle impacts of products from cradle to consumer?

Rationale

Dependencies

Code that was used to upload the data on 5 Feb 2014.

The actual successful runs: [1] [2] [3] [4] [5] [6] [7]

The failed runs: [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18]

Calculations

+ Show code- Hide code library(OpasnetUtils) climate <- opbase.data("Op_en6286", subset = "Climate change") ecosystem <- opbase.data("Op_en6286", subset = "Ecosystem quality") health <- opbase.data("Op_en6286", subset = "Human health") resources <- opbase.data("Op_en6286", subset = "Resources") water <- opbase.data("Op_en6286", subset = "Water consumption") water$Result <- water$Result * 3.785411784 # From gallons to litres categories <- data.frame(climate[1:3] levels(categories[["Category"]]) <- gsub(" ", "", levels(categories[["Category"]])) # One training space may stay but $ does not work in regular expression. Why? categories <- Ovariable("categories", data = categories, Result = 1)) BEA <- rbind( data.frame(Impact = "Climate change", Unit = "CO2eq /USD", climate[3:ncol(climate)]), data.frame(Impact = "Ecosystem quality", Unit = "PDF m2 /a /USD", ecosystem), data.frame(Impact = "Human health", Unit = "DALY /USD", health), data.frame(Impact = "Resources", Unit = "MJ /USD", resources), data.frame(Impact = "Water consumption", Unit = "L /USD", water) ) BEA <- Ovariable("BEA", data = BEA) objects.store(categories, BEA) cat("Ovariables BEA, categories saved. \n")