Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/authors.html b/authors.html index bd5b8859..4dfbb13c 100644 --- a/authors.html +++ b/authors.html @@ -40,23 +40,23 @@Mauro Lepore. Author, maintainer. +
Kalash Singhal. Author, maintainer.
Mauro Lepore. Author.
Linda Delacombaz. Author. +
Kalash Singhal. Author. +
Linda Delacombaz. Author.
Source: DESCRIPTION
Lepore M, Schoenauer A, Trompke T, Delacombaz L, Singhal K, Ho L (2024). +
Singhal K, Lepore M, Schoenauer A, Trompke T, Delacombaz L, Ho L (2024). tiltIndicator: Indicators for the 'TILT' Project. R package version 0.0.0.9228, https://github.com/2DegreesInvesting/tiltIndicator.
@Manual{,
title = {tiltIndicator: Indicators for the 'TILT' Project},
- author = {Mauro Lepore and Anne Schoenauer and Tilman Trompke and Linda Delacombaz and Kalash Singhal and Lyanne Ho},
+ author = {Kalash Singhal and Mauro Lepore and Anne Schoenauer and Tilman Trompke and Linda Delacombaz and Lyanne Ho},
year = {2024},
note = {R package version 0.0.0.9228},
url = {https://github.com/2DegreesInvesting/tiltIndicator},
@@ -91,11 +91,11 @@ Citation
diff --git a/index.html b/index.html
index ebc35999..37803477 100644
--- a/index.html
+++ b/index.html
@@ -169,12 +169,12 @@ Citation
Developers
+- Kalash Singhal
Author, maintainer
-
-Mauro Lepore
Author, maintainer
+Mauro Lepore
Author
- Anne Schoenauer
Author
- Tilman Trompke
Author
- Linda Delacombaz
Author
-- Kalash Singhal
Author
- Lyanne Ho
Author
- 2 Degrees Investing Initiative
Copyright holder, funder
@@ -195,11 +195,11 @@ Dev status
diff --git a/news/index.html b/news/index.html
index e3aea98e..32f2609c 100644
--- a/news/index.html
+++ b/news/index.html
@@ -640,11 +640,11 @@ ti
diff --git a/pkgdown.js b/pkgdown.js
index 9757bf9e..1a99c65f 100644
--- a/pkgdown.js
+++ b/pkgdown.js
@@ -152,3 +152,11 @@ async function searchFuse(query, callback) {
});
});
})(window.jQuery || window.$)
+
+document.addEventListener('keydown', function(event) {
+ // Check if the pressed key is '/'
+ if (event.key === '/') {
+ event.preventDefault(); // Prevent any default action associated with the '/' key
+ document.getElementById('search-input').focus(); // Set focus to the search input
+ }
+});
diff --git a/pkgdown.yml b/pkgdown.yml
index bcf4f4e9..afd9fadf 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -1,10 +1,10 @@
pandoc: 3.1.11
-pkgdown: 2.1.0
+pkgdown: 2.1.1
pkgdown_sha: ~
articles:
articles/extending-outputs: extending-outputs.html
articles/tiltIndicator: tiltIndicator.html
-last_built: 2024-08-30T23:04Z
+last_built: 2024-10-08T15:46Z
urls:
reference: https://2degreesinvesting.github.io/tiltIndicator/reference
article: https://2degreesinvesting.github.io/tiltIndicator/articles
diff --git a/reference/aka.html b/reference/aka.html
index d0880313..07798df0 100644
--- a/reference/aka.html
+++ b/reference/aka.html
@@ -78,11 +78,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/categorize_risk.html b/reference/categorize_risk.html
index 41c3d32a..b2f6a56a 100644
--- a/reference/categorize_risk.html
+++ b/reference/categorize_risk.html
@@ -52,11 +52,11 @@ Usage
diff --git a/reference/compute_profile_ranking.html b/reference/compute_profile_ranking.html
index 89ef1556..cd48fd48 100644
--- a/reference/compute_profile_ranking.html
+++ b/reference/compute_profile_ranking.html
@@ -54,11 +54,11 @@ Usage
diff --git a/reference/deprecated.html b/reference/deprecated.html
index 270f3d0e..1a82e5d8 100644
--- a/reference/deprecated.html
+++ b/reference/deprecated.html
@@ -95,11 +95,11 @@ Usage
diff --git a/reference/document_default_value.html b/reference/document_default_value.html
index 5aa5360f..25ec0e3b 100644
--- a/reference/document_default_value.html
+++ b/reference/document_default_value.html
@@ -64,11 +64,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/emissions_profile.html b/reference/emissions_profile.html
index 8891b7e6..78886a9e 100644
--- a/reference/emissions_profile.html
+++ b/reference/emissions_profile.html
@@ -259,11 +259,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/emissions_profile_any_compute_profile_ranking.html b/reference/emissions_profile_any_compute_profile_ranking.html
index dd5274b6..7387142d 100644
--- a/reference/emissions_profile_any_compute_profile_ranking.html
+++ b/reference/emissions_profile_any_compute_profile_ranking.html
@@ -133,11 +133,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/emissions_profile_upstream.html b/reference/emissions_profile_upstream.html
index 367c9b93..8164723a 100644
--- a/reference/emissions_profile_upstream.html
+++ b/reference/emissions_profile_upstream.html
@@ -224,11 +224,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/epa_at_company_level.html b/reference/epa_at_company_level.html
index 82c1c09b..e33c7b2a 100644
--- a/reference/epa_at_company_level.html
+++ b/reference/epa_at_company_level.html
@@ -65,11 +65,11 @@ Value
diff --git a/reference/example_companies.html b/reference/example_companies.html
index 7d301ea6..1845e830 100644
--- a/reference/example_companies.html
+++ b/reference/example_companies.html
@@ -75,11 +75,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/example_data_factory.html b/reference/example_data_factory.html
index 945132ec..94384c03 100644
--- a/reference/example_data_factory.html
+++ b/reference/example_data_factory.html
@@ -73,11 +73,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/example_dictionary.html b/reference/example_dictionary.html
index 09193f9b..48795acc 100644
--- a/reference/example_dictionary.html
+++ b/reference/example_dictionary.html
@@ -106,11 +106,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/example_raw_companies.html b/reference/example_raw_companies.html
index efef066f..2dca5ad9 100644
--- a/reference/example_raw_companies.html
+++ b/reference/example_raw_companies.html
@@ -86,11 +86,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/exclude.html b/reference/exclude.html
index b3618de6..6c2ced69 100644
--- a/reference/exclude.html
+++ b/reference/exclude.html
@@ -146,11 +146,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/extdata_path.html b/reference/extdata_path.html
index a18ba939..b82f775d 100644
--- a/reference/extdata_path.html
+++ b/reference/extdata_path.html
@@ -78,11 +78,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/index.html b/reference/index.html
index 34eae6c1..4be2d093 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -164,11 +164,11 @@ Post-processing helpers
diff --git a/reference/insert_row_with_na_in_risk_category.html b/reference/insert_row_with_na_in_risk_category.html
index 6112b7fe..7d098262 100644
--- a/reference/insert_row_with_na_in_risk_category.html
+++ b/reference/insert_row_with_na_in_risk_category.html
@@ -65,11 +65,11 @@ Value
diff --git a/reference/jitter_range.html b/reference/jitter_range.html
index bd076bf1..7fcf3342 100644
--- a/reference/jitter_range.html
+++ b/reference/jitter_range.html
@@ -117,11 +117,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/join_to.html b/reference/join_to.html
index ceef87c8..f96bc906 100644
--- a/reference/join_to.html
+++ b/reference/join_to.html
@@ -164,11 +164,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/nest_levels.html b/reference/nest_levels.html
index 49b62f41..c1f6df47 100644
--- a/reference/nest_levels.html
+++ b/reference/nest_levels.html
@@ -64,11 +64,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/percent_noise.html b/reference/percent_noise.html
index 0d02e402..67b9dcb3 100644
--- a/reference/percent_noise.html
+++ b/reference/percent_noise.html
@@ -91,11 +91,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/pipe.html b/reference/pipe.html
index 92d0e9ea..0fc36fa3 100644
--- a/reference/pipe.html
+++ b/reference/pipe.html
@@ -69,11 +69,11 @@ Value
diff --git a/reference/rename.html b/reference/rename.html
index b22ab451..c38d1e28 100644
--- a/reference/rename.html
+++ b/reference/rename.html
@@ -154,11 +154,11 @@ Usage
diff --git a/reference/rowid.default.html b/reference/rowid.default.html
index ad3faee2..f4a79321 100644
--- a/reference/rowid.default.html
+++ b/reference/rowid.default.html
@@ -53,11 +53,11 @@ Usage
diff --git a/reference/rowid.html b/reference/rowid.html
index 4132789e..ac4c472a 100644
--- a/reference/rowid.html
+++ b/reference/rowid.html
@@ -52,11 +52,11 @@ Usage
diff --git a/reference/sector_profile.html b/reference/sector_profile.html
index 52c6eb98..7a77626d 100644
--- a/reference/sector_profile.html
+++ b/reference/sector_profile.html
@@ -170,11 +170,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/sector_profile_any_pivot_type_sector_subsector.html b/reference/sector_profile_any_pivot_type_sector_subsector.html
index 22fa5ea1..50cb215c 100644
--- a/reference/sector_profile_any_pivot_type_sector_subsector.html
+++ b/reference/sector_profile_any_pivot_type_sector_subsector.html
@@ -101,11 +101,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/sector_profile_any_polish_output_at_company_level.html b/reference/sector_profile_any_polish_output_at_company_level.html
index 8fc595e8..0641a285 100644
--- a/reference/sector_profile_any_polish_output_at_company_level.html
+++ b/reference/sector_profile_any_polish_output_at_company_level.html
@@ -114,11 +114,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/sector_profile_any_prepare_scenario.html b/reference/sector_profile_any_prepare_scenario.html
index 763c0519..a1aec22c 100644
--- a/reference/sector_profile_any_prepare_scenario.html
+++ b/reference/sector_profile_any_prepare_scenario.html
@@ -91,11 +91,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/sector_profile_any_prune_companies.html b/reference/sector_profile_any_prune_companies.html
index 28fdd013..8f7e849d 100644
--- a/reference/sector_profile_any_prune_companies.html
+++ b/reference/sector_profile_any_prune_companies.html
@@ -109,11 +109,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/sector_profile_upstream.html b/reference/sector_profile_upstream.html
index 7c29910c..f66312c0 100644
--- a/reference/sector_profile_upstream.html
+++ b/reference/sector_profile_upstream.html
@@ -207,11 +207,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/summarize_range.html b/reference/summarize_range.html
index 1117b049..d22375c2 100644
--- a/reference/summarize_range.html
+++ b/reference/summarize_range.html
@@ -154,11 +154,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/tiltIndicator-package.html b/reference/tiltIndicator-package.html
index 094bb1b7..aa065952 100644
--- a/reference/tiltIndicator-package.html
+++ b/reference/tiltIndicator-package.html
@@ -64,11 +64,11 @@ Author<
diff --git a/reference/tilt_profile.html b/reference/tilt_profile.html
index 193cb262..b0775483 100644
--- a/reference/tilt_profile.html
+++ b/reference/tilt_profile.html
@@ -91,11 +91,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/reference/unnest_product.html b/reference/unnest_product.html
index fe095177..c404d89a 100644
--- a/reference/unnest_product.html
+++ b/reference/unnest_product.html
@@ -136,11 +136,11 @@ Examples
- Developed by Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Kalash Singhal, Lyanne Ho, 2 Degrees Investing Initiative.
+ Developed by Kalash Singhal, Mauro Lepore, Anne Schoenauer, Tilman Trompke, Linda Delacombaz, Lyanne Ho, 2 Degrees Investing Initiative.
diff --git a/search.json b/search.json
index 404d3165..0dbebac7 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"https://2degreesinvesting.github.io/tiltIndicator/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contributing to tiltIndicator","title":"Contributing to tiltIndicator","text":"project follows number guides, principles, books. familiar , faster contribution approved. Guides principles: tiltIndicator mvp guide. Tidyverse style guide. Tidyverse design guide. Tidyverse code review principles. Books: Happy Git R. forgot teach R. R data science. Advanced R. R packages.","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU General Public License","title":"GNU General Public License","text":"Version 3, 29 June 2007Copyright © 2007 Free Software Foundation, Inc. .","code":" Copyright (C) This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see Copyright (C) This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'. This is free software, and you are welcome to redistribute it under certain conditions; type 'show c' for details."},{"path":"https://2degreesinvesting.github.io/tiltIndicator/articles/tiltIndicator.html","id":"emissions-profile","dir":"Articles","previous_headings":"","what":"Emissions profile","title":"The tilt indicators","text":"“emissions profile” measures absolute GHG emissions product comparison chosen benchmark products. assessment first performed product-level can aggregated company-level. profile expressed share company’s products “high”, “medium”, “low” emission profile category, based comparison benchmark. higher emission profile indicates larger impact climate change compared benchmark can therefore also interpreted one climate risk component assess products, companies, loan portfolios. “emission profile” calculated steps: relative GHG emissions per product collected Life-Cycle-Analysis (LCA) database matching products company dataset products LCA dataset. products ranked according GHG emissions. : products. isic_4digit: products within ISIC 4 digit code (example: 0112 Growing rice). tilt_subsector: products within tilt sector (example: agriculture). unit: products unit (example: kg). unit_isic_4digit: products unit within ISIC 4 digit section (example: kg + 0112 Growing rice). unit_tilt_subsector: products unit within tilt sector (example: kg + agriculture). benchmark, products assigned emission profile category “low”, “medium” “high”, depending GHG emissions arising production process comparison products within benchmark. assignment three categories, thresholds used. Please find information thresholds Thresholds section. company-level results, aggregate products category benchmark set relation products company produces. company-level results expressed company’s share products per category “low”, “medium”, “high” comparison benchmark. output indicator contains following: column indicating benchmark product compared. column indicating whether product “low”, “medium” “high” relative GHG emissions. column indicating share products per category benchmark”.","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/articles/tiltIndicator.html","id":"example","dir":"Articles","previous_headings":"Emissions profile","what":"Example","title":"The tilt indicators","text":"","code":"library(tiltIndicator) library(tiltToyData) library(readr) options(readr.show_col_types = FALSE) companies <- read_csv(toy_emissions_profile_any_companies()) products <- read_csv(toy_emissions_profile_products_ecoinvent()) both <- emissions_profile(companies, products) both #> # A tibble: 72 × 3 #> companies_id product company #> * #> 1 antimonarchy_canine #> 2 celestial_lovebird #> 3 nonphilosophical_llama #> 4 asteria_megalotomusquinquespinosus #> 5 quasifaithful_amphiuma #> 6 spectacular_americanriverotter #> 7 contrite_silkworm #> 8 harmless_owlbutterfly #> 9 fascist_maiasaura #> 10 charismatic_islandwhistler #> # ℹ 62 more rows both |> unnest_product() #> # A tibble: 456 × 7 #> companies_id grouped_by risk_category profile_ranking clustered #> #> 1 antimonarchy_canine all high 1 tent #> 2 antimonarchy_canine isic_4digit high 1 tent #> 3 antimonarchy_canine tilt_subsector high 1 tent #> 4 antimonarchy_canine unit high 1 tent #> 5 antimonarchy_canine unit_isic_4digit high 1 tent #> 6 antimonarchy_canine unit_tilt_subsec… high 1 tent #> 7 celestial_lovebird all high 1 table hi… #> 8 celestial_lovebird isic_4digit high 1 table hi… #> 9 celestial_lovebird tilt_subsector high 1 table hi… #> 10 celestial_lovebird unit high 1 table hi… #> # ℹ 446 more rows #> # ℹ 2 more variables: activity_uuid_product_uuid , co2_footprint both |> unnest_company() #> # A tibble: 1,728 × 4 #> companies_id grouped_by risk_category value #> #> 1 antimonarchy_canine all high 1 #> 2 antimonarchy_canine all medium 0 #> 3 antimonarchy_canine all low 0 #> 4 antimonarchy_canine all NA 0 #> 5 antimonarchy_canine isic_4digit high 1 #> 6 antimonarchy_canine isic_4digit medium 0 #> 7 antimonarchy_canine isic_4digit low 0 #> 8 antimonarchy_canine isic_4digit NA 0 #> 9 antimonarchy_canine tilt_subsector high 1 #> 10 antimonarchy_canine tilt_subsector medium 0 #> # ℹ 1,718 more rows"},{"path":"https://2degreesinvesting.github.io/tiltIndicator/articles/tiltIndicator.html","id":"emissions-profile-upstream","dir":"Articles","previous_headings":"","what":"Emissions profile upstream","title":"The tilt indicators","text":"indicator “emissions profile upstream” assesses transition risk upstream products due relative carbon footprint upstream products. default option, upstream product compared carbon footprint every upstream product. Upstream products higher carbon footprint face higher risk. company-level, indicator proxies supply chain risk company - based inputs. indicator “emissions profile upstream” therefore similar Product Carbon Transition Risk Indicator, focuses upstream products product company. Upstream products , example, resources, packaging materials, energy enabling services (tractor use farm) produce product. identifying carbon footprint one upstream product, input products ranked according footprint. ranking method explained Thresholds section. assessing upstream products’ transition risk based carbon footprint product, aggregated company-level. derive percentage upstream products high, medium low transition risk. indicator consists 2 broad steps: Score upstream products: Identifying upstream products product, calculating relative carbon footprint per upstream product. Score companies: Aggregating company-level. sample data set includes inputs co2 footprints product Ecoinvent sectors Europages. NOTE: following columns completely random selection reflect true information: co2 footprints (allowed share licensed data right now) sectors (matching ecoinvent done yet, one sector per product yet)","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/articles/tiltIndicator.html","id":"example-1","dir":"Articles","previous_headings":"Emissions profile upstream","what":"Example","title":"The tilt indicators","text":"","code":"library(tiltIndicator) library(tiltToyData) library(readr) options(readr.show_col_types = FALSE) companies <- read_csv(toy_emissions_profile_any_companies()) inputs <- read_csv(toy_emissions_profile_upstream_products_ecoinvent()) both <- emissions_profile_upstream(companies, inputs) both |> unnest_product() #> # A tibble: 690 × 8 #> companies_id grouped_by risk_category profile_ranking clustered #> #> 1 antimonarchy_canine all high 0.938 tent #> 2 antimonarchy_canine input_isic_4digit high 1 tent #> 3 antimonarchy_canine input_tilt_subse… high 1 tent #> 4 antimonarchy_canine input_unit high 1 tent #> 5 antimonarchy_canine input_unit_input… high 1 tent #> 6 antimonarchy_canine input_unit_input… high 1 tent #> 7 celestial_lovebird all high 0.938 table hi… #> 8 celestial_lovebird input_isic_4digit high 1 table hi… #> 9 celestial_lovebird input_tilt_subse… high 1 table hi… #> 10 celestial_lovebird input_unit high 1 table hi… #> # ℹ 680 more rows #> # ℹ 3 more variables: activity_uuid_product_uuid , #> # input_activity_uuid_product_uuid , input_co2_footprint both |> unnest_company() #> # A tibble: 1,728 × 4 #> companies_id grouped_by risk_category value #> #> 1 antimonarchy_canine all high 1 #> 2 antimonarchy_canine all medium 0 #> 3 antimonarchy_canine all low 0 #> 4 antimonarchy_canine all NA 0 #> 5 antimonarchy_canine input_isic_4digit high 1 #> 6 antimonarchy_canine input_isic_4digit medium 0 #> 7 antimonarchy_canine input_isic_4digit low 0 #> 8 antimonarchy_canine input_isic_4digit NA 0 #> 9 antimonarchy_canine input_tilt_subsector high 1 #> 10 antimonarchy_canine input_tilt_subsector medium 0 #> # ℹ 1,718 more rows"},{"path":"https://2degreesinvesting.github.io/tiltIndicator/articles/tiltIndicator.html","id":"sector-profile","dir":"Articles","previous_headings":"","what":"Sector profile","title":"The tilt indicators","text":"indicator “sector profile” measures transition risk products based sector’s emissions targets product belongs . sector emission reduction targets vary across scenarios (e.g., net zero scenario 1.5° scenario) time horizon (e.g., reduction needed 2030, 2040, 2050 achieve targets). assessing product, products category aggregated set relation products company. , therefore, derive company-level information.","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/articles/tiltIndicator.html","id":"example-2","dir":"Articles","previous_headings":"Sector profile","what":"Example","title":"The tilt indicators","text":"","code":"library(tiltIndicator) library(tiltToyData) library(readr) options(readr.show_col_types = FALSE) companies <- read_csv(toy_sector_profile_companies()) scenarios <- read_csv(toy_sector_profile_any_scenarios()) both <- sector_profile(companies, scenarios) both #> # A tibble: 72 × 3 #> companies_id product company #> * #> 1 antimonarchy_canine #> 2 celestial_lovebird #> 3 nonphilosophical_llama #> 4 asteria_megalotomusquinquespinosus #> 5 quasifaithful_amphiuma #> 6 spectacular_americanriverotter #> 7 contrite_silkworm #> 8 harmless_owlbutterfly #> 9 fascist_maiasaura #> 10 charismatic_islandwhistler #> # ℹ 62 more rows both |> unnest_product() #> # A tibble: 304 × 11 #> companies_id grouped_by risk_category profile_ranking clustered #> #> 1 antimonarchy_canine ipr_1.5C RPS_… medium 0.18 tent #> 2 antimonarchy_canine ipr_1.5C RPS_… high 0.98 tent #> 3 antimonarchy_canine weo_NZ 2050_2… high 0.4 tent #> 4 antimonarchy_canine weo_NZ 2050_2… high 0.97 tent #> 5 celestial_lovebird ipr_1.5C RPS_… medium 0.18 table hi… #> 6 celestial_lovebird ipr_1.5C RPS_… high 0.98 table hi… #> 7 celestial_lovebird weo_NZ 2050_2… high 0.4 table hi… #> 8 celestial_lovebird weo_NZ 2050_2… high 0.97 table hi… #> 9 nonphilosophical_llama ipr_1.5C RPS_… low 0.09 surface … #> 10 nonphilosophical_llama ipr_1.5C RPS_… high 0.95 surface … #> # ℹ 294 more rows #> # ℹ 6 more variables: activity_uuid_product_uuid , tilt_sector , #> # scenario , year , type , tilt_subsector both |> unnest_company() #> # A tibble: 1,152 × 4 #> companies_id grouped_by risk_category value #> #> 1 antimonarchy_canine ipr_1.5C RPS_2030 high 0 #> 2 antimonarchy_canine ipr_1.5C RPS_2030 medium 1 #> 3 antimonarchy_canine ipr_1.5C RPS_2030 low 0 #> 4 antimonarchy_canine ipr_1.5C RPS_2030 NA 0 #> 5 antimonarchy_canine ipr_1.5C RPS_2050 high 1 #> 6 antimonarchy_canine ipr_1.5C RPS_2050 medium 0 #> 7 antimonarchy_canine ipr_1.5C RPS_2050 low 0 #> 8 antimonarchy_canine ipr_1.5C RPS_2050 NA 0 #> 9 antimonarchy_canine weo_NZ 2050_2030 high 1 #> 10 antimonarchy_canine weo_NZ 2050_2030 medium 0 #> # ℹ 1,142 more rows"},{"path":"https://2degreesinvesting.github.io/tiltIndicator/articles/tiltIndicator.html","id":"sector-profile-upstream","dir":"Articles","previous_headings":"","what":"Sector profile upstream","title":"The tilt indicators","text":"indicator “sector profile upstream” assesses transition risk input products based sector’s emissions targets input product belongs . indicator can aggregated company level inform supply chain risk SME, based inputs’ transition risk. sector emission reduction targets vary across scenarios (e.g., net zero scenario 1.5° scenario) time horizon (e.g., reduction needed 2030, 2040, 2050 achieve targets). , therefore, similar Product Sector Risk Indicator focuses input products company needs produce products.input products , example, resources, packaging materials, energy enabling services (tractor use farm) produce product. identifying carbon footprint one input product, input products ranked according footprint. ranking method explained Thresholds section. assessing input products product, aggregated company-level derive percentage input products required company produce products high, medium low sector transition risk. , therefore, derive company-level information. Please note carbon emissions emissions always mean CO2e.","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/articles/tiltIndicator.html","id":"example-3","dir":"Articles","previous_headings":"Sector profile upstream","what":"Example","title":"The tilt indicators","text":"","code":"library(tiltIndicator) library(tiltToyData) library(readr) options(readr.show_col_types = FALSE) companies <- read_csv(toy_sector_profile_upstream_companies()) scenarios <- read_csv(toy_sector_profile_any_scenarios()) inputs <- read_csv(toy_sector_profile_upstream_products()) both <- sector_profile_upstream(companies, scenarios, inputs) both #> # A tibble: 72 × 3 #> companies_id product company #> * #> 1 antimonarchy_canine #> 2 asteria_megalotomusquinquespinosus #> 3 quasifaithful_amphiuma #> 4 spectacular_americanriverotter #> 5 contrite_silkworm #> 6 harmless_owlbutterfly #> 7 charismatic_islandwhistler #> 8 leathery_acornwoodpecker #> 9 skarn_gallinule #> 10 springloaded_newt #> # ℹ 62 more rows both |> unnest_product() #> # A tibble: 460 × 13 #> companies_id grouped_by risk_category profile_ranking clustered #> #> 1 antimonarchy_canine ipr_1.5C … medium 0.18 tent #> 2 antimonarchy_canine ipr_1.5C … high 0.98 tent #> 3 antimonarchy_canine weo_NZ 20… high 0.4 tent #> 4 antimonarchy_canine weo_NZ 20… high 0.97 tent #> 5 asteria_megalotomusquinqu… ipr_1.5C … medium 0.18 tent #> 6 asteria_megalotomusquinqu… ipr_1.5C … high 0.98 tent #> 7 asteria_megalotomusquinqu… weo_NZ 20… high 0.4 tent #> 8 asteria_megalotomusquinqu… weo_NZ 20… high 0.97 tent #> 9 quasifaithful_amphiuma ipr_1.5C … medium 0.18 tent #> 10 quasifaithful_amphiuma ipr_1.5C … high 0.98 tent #> # ℹ 450 more rows #> # ℹ 8 more variables: activity_uuid_product_uuid , tilt_sector , #> # scenario , year , type , #> # input_activity_uuid_product_uuid , input_tilt_sector , #> # input_tilt_subsector both |> unnest_company() #> # A tibble: 1,152 × 4 #> companies_id grouped_by risk_category value #> #> 1 antimonarchy_canine ipr_1.5C RPS_2030 high 0 #> 2 antimonarchy_canine ipr_1.5C RPS_2030 medium 1 #> 3 antimonarchy_canine ipr_1.5C RPS_2030 low 0 #> 4 antimonarchy_canine ipr_1.5C RPS_2030 NA 0 #> 5 antimonarchy_canine ipr_1.5C RPS_2050 high 1 #> 6 antimonarchy_canine ipr_1.5C RPS_2050 medium 0 #> 7 antimonarchy_canine ipr_1.5C RPS_2050 low 0 #> 8 antimonarchy_canine ipr_1.5C RPS_2050 NA 0 #> 9 antimonarchy_canine weo_NZ 2050_2030 high 1 #> 10 antimonarchy_canine weo_NZ 2050_2030 medium 0 #> # ℹ 1,142 more rows"},{"path":"https://2degreesinvesting.github.io/tiltIndicator/articles/tiltIndicator.html","id":"thresholds","dir":"Articles","previous_headings":"","what":"Thresholds","title":"The tilt indicators","text":"Products highest percentile (greater high_threshold) classified high transition risk products. Products medium percentile (greater low_threshold lower equal high_threshold) classified medium transition risk products. Products lowest percentile (lower equal low_threshold) classified low transition risk products. details default low_threshold high_threshold, refer documentation corresponding *_profile_*() function (e.g. sector_profile()).","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Mauro Lepore. Author, maintainer. Anne Schoenauer. Author. Tilman Trompke. Author. Linda Delacombaz. Author. Kalash Singhal. Author. Lyanne Ho. Author. 2 Degrees Investing Initiative. Copyright holder, funder.","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Lepore M, Schoenauer , Trompke T, Delacombaz L, Singhal K, Ho L (2024). tiltIndicator: Indicators 'TILT' Project. R package version 0.0.0.9228, https://github.com/2DegreesInvesting/tiltIndicator.","code":"@Manual{, title = {tiltIndicator: Indicators for the 'TILT' Project}, author = {Mauro Lepore and Anne Schoenauer and Tilman Trompke and Linda Delacombaz and Kalash Singhal and Lyanne Ho}, year = {2024}, note = {R package version 0.0.0.9228}, url = {https://github.com/2DegreesInvesting/tiltIndicator}, }"},{"path":"https://2degreesinvesting.github.io/tiltIndicator/index.html","id":"tiltindicator","dir":"","previous_headings":"","what":"Indicators for the TILT Project","title":"Indicators for the TILT Project","text":"goal tiltIndicator implement core business logic ‘TILT’ indicators.","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Indicators for the TILT Project","text":"can install latest release r-universe : development version GitHub : trouble? Try fresh new project https://posit.cloud/ (free).","code":"install.packages(\"tiltIndicator\", repos = c(\"https://2degreesinvesting.r-universe.dev\", getOption(\"repos\"))) # install.packages(\"pak\") pak::pak(\"2DegreesInvesting/tiltIndicator\")"},{"path":"https://2degreesinvesting.github.io/tiltIndicator/index.html","id":"example","dir":"","previous_headings":"","what":"Example","title":"Indicators for the TILT Project","text":"examples see Get started.","code":"library(tiltIndicator) library(tiltToyData) library(readr) options(readr.show_col_types = FALSE) companies <- read_csv(toy_emissions_profile_any_companies()) products <- read_csv(toy_emissions_profile_products_ecoinvent()) both <- emissions_profile(companies, products) both #> # A tibble: 72 × 3 #> companies_id product company #> #> 1 antimonarchy_canine #> 2 celestial_lovebird #> 3 nonphilosophical_llama #> 4 asteria_megalotomusquinquespinosus #> 5 quasifaithful_amphiuma #> 6 spectacular_americanriverotter #> 7 contrite_silkworm #> 8 harmless_owlbutterfly #> 9 fascist_maiasaura #> 10 charismatic_islandwhistler #> # ℹ 62 more rows both |> unnest_product() #> # A tibble: 2,736 × 7 #> companies_id grouped_by risk_category profile_ranking clustered #> #> 1 antimonarchy_canine all low 0.167 tent #> 2 antimonarchy_canine all high 1 tent #> 3 antimonarchy_canine all high 0.778 tent #> 4 antimonarchy_canine all medium 0.667 tent #> 5 antimonarchy_canine all low 0.0556 tent #> 6 antimonarchy_canine all medium 0.611 tent #> 7 antimonarchy_canine isic_4digit medium 0.5 tent #> 8 antimonarchy_canine isic_4digit high 1 tent #> 9 antimonarchy_canine isic_4digit low 0.333 tent #> 10 antimonarchy_canine isic_4digit high 1 tent #> # ℹ 2,726 more rows #> # ℹ 2 more variables: activity_uuid_product_uuid , co2_footprint both |> unnest_company() #> # A tibble: 1,296 × 4 #> companies_id grouped_by risk_category value #> #> 1 antimonarchy_canine all high 0.333 #> 2 antimonarchy_canine all medium 0.333 #> 3 antimonarchy_canine all low 0.333 #> 4 antimonarchy_canine isic_4digit high 0.5 #> 5 antimonarchy_canine isic_4digit medium 0.167 #> 6 antimonarchy_canine isic_4digit low 0.333 #> 7 antimonarchy_canine tilt_sector high 0.5 #> 8 antimonarchy_canine tilt_sector medium 0 #> 9 antimonarchy_canine tilt_sector low 0.5 #> 10 antimonarchy_canine unit high 0.5 #> # ℹ 1,286 more rows"},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/aka.html","id":null,"dir":"Reference","previous_headings":"","what":"Access a column via an internal alias it's 'also known as' — aka","title":"Access a column via an internal alias it's 'also known as' — aka","text":"Accessing columns way makes code maintainable avoiding column names likely change.","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/aka.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Access a column via an internal alias it's 'also known as' — aka","text":"","code":"aka(x, dictionary = example_dictionary())"},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/aka.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Access a column via an internal alias it's 'also known as' — aka","text":"x character giving internal 'also known ' column name. dictionary dataframe like example_dictionary().","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/aka.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Access a column via an internal alias it's 'also known as' — aka","text":"character.","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/aka.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Access a column via an internal alias it's 'also known as' — aka","text":"","code":"aka(\"id\") #> [1] \"companies_id\""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/categorize_risk.html","id":null,"dir":"Reference","previous_headings":"","what":"Categorize a variable into risk categories using low and high thresholds — categorize_risk","title":"Categorize a variable into risk categories using low and high thresholds — categorize_risk","text":"Categorize variable risk categories using low high thresholds","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/categorize_risk.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Categorize a variable into risk categories using low and high thresholds — categorize_risk","text":"","code":"categorize_risk(x, low_threshold, high_threshold, ...)"},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/compute_profile_ranking.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute profile ranking — compute_profile_ranking","title":"Compute profile ranking — compute_profile_ranking","text":"Compute profile ranking","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/compute_profile_ranking.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute profile ranking — compute_profile_ranking","text":"","code":"spa_compute_profile_ranking(data, scenarios) epa_compute_profile_ranking(data)"},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/deprecated.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated — deprecated","title":"Deprecated — deprecated","text":"functions form f_at_product_level() f_at_company_level() now deprecated favor higher-level wrappers (see ?tiltIndicator::rename).","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/deprecated.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated — deprecated","text":"","code":"istr_at_product_level( companies, scenarios, inputs, low_threshold = ifelse(scenarios$year == 2030, 1/9, 1/3), high_threshold = ifelse(scenarios$year == 2030, 2/9, 2/3) ) pstr_at_product_level( companies, scenarios, low_threshold = ifelse(scenarios$year == 2030, 1/9, 1/3), high_threshold = ifelse(scenarios$year == 2030, 2/9, 2/3) ) xctr_at_product_level( companies, co2, low_threshold = 1/3, high_threshold = 2/3 ) istr_at_company_level(data) pstr_at_company_level(data) xctr_at_company_level(data) xstr_pivot_type_sector_subsector(data) xstr_prepare_scenario(scenarios) xstr_prune_companies(data) xstr_polish_output_at_company_level(data)"},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/document_default_value.html","id":null,"dir":"Reference","previous_headings":"","what":"Document the default return value — document_default_value","title":"Document the default return value — document_default_value","text":"Document default return value","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/document_default_value.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Document the default return value — document_default_value","text":"","code":"document_default_value() document_tilt_profile()"},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/document_default_value.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Document the default return value — document_default_value","text":"","code":"document_tilt_profile() #> [1] \"A data frame with the column `companies_id`, and the list columns `product` and `company` holding the outputs at product and company level.\" document_default_value() #> [1] \"A data frame with the column `companies_id`, and the list columns `product` and `company` holding the outputs at product and company level. Unnesting `product` yields a data frame with at least columns `companies_id`, `grouped_by`, `risk_category`. Unnesting `company` yields a data frame with at least columns `companies_id`, `grouped_by`, `risk_category`, `value`.\""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/emissions_profile.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the indicator ","title":"Calculate the indicator ","text":"\"emissions profile\" measures absolute GHG emissions product comparison chosen benchmark products. assessment first performed product-level can aggregated company-level. profile expressed share company's products \"high\", \"medium\", \"low\" emission profile category, based comparison benchmark. higher emission profile indicates larger impact climate change compared benchmark can therefore also interpreted one climate risk component assess products, companies, loan portfolios. \"emission profile\" calculated steps: relative GHG emissions per product collected Life-Cycle-Analysis (LCA) database matching products company dataset products LCA dataset. products ranked according GHG emissions. products grouped following benchmarks: : products. isic_4digit: products within ISIC 4 digit code (example: 0112 Growing rice). tilt_subsector: products within tilt sector (example: agriculture). unit: products unit (example: kg). unit_isic_4digit: products unit within ISIC 4 digit section (example: kg + 0112 Growing rice). unit_tilt_subsector: products unit within tilt sector (example: kg + agriculture). benchmark, products assigned emission profile category \"low\", \"medium\" \"high\", depending GHG emissions arising production process comparison products within benchmark. assignment three categories, thresholds used. Please find information thresholds Thresholds section. company-level results, aggregate products category benchmark set relation products company produces. company-level results expressed company's share products per category \"low\", \"medium\", \"high\" comparison benchmark. output indicator contains following: column indicating benchmark product compared. column indicating whether product \"low\", \"medium\" \"high\" relative GHG emissions. column indicating share products per category benchmark\".","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/emissions_profile.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the indicator ","text":"","code":"emissions_profile(companies, co2, low_threshold = 1/3, high_threshold = 2/3)"},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/emissions_profile.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the indicator ","text":"companies, co2 dataframe like dataset matching name tiltToyData (see Reference). low_threshold numeric value segment low medium emission profile products. high_threshold numeric value segment medium high emission profile products.","code":""},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/emissions_profile.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the indicator ","text":"data frame column companies_id, list columns product company holding outputs product company level. Unnesting product yields data frame least columns companies_id, grouped_by, risk_category. Unnesting company yields data frame least columns companies_id, grouped_by, risk_category, value. column input datasets ending *rowid also passed output product level. exception column named exactly rowid– reserved name throws error. Note feature makes sense company level potentially multiple rows input datasets summarized single row output company level.","code":""},{"path":[]},{"path":"https://2degreesinvesting.github.io/tiltIndicator/reference/emissions_profile.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the indicator ","text":"","code":"library(tiltIndicator) library(tiltToyData) library(readr) options(readr.show_col_types = FALSE) companies <- read_csv(toy_emissions_profile_any_companies()) products <- read_csv(toy_emissions_profile_products_ecoinvent()) both <- emissions_profile(companies, products) both #> # A tibble: 72 × 3 #> companies_id product company #> * #> 1 antimonarchy_canine #> 2 celestial_lovebird #> 3 nonphilosophical_llama #> 4 asteria_megalotomusquinquespinosus #> 5 quasifaithful_amphiuma #> 6 spectacular_americanriverotter #> 7 contrite_silkworm #> 8 harmless_owlbutterfly #> 9 fascist_maiasaura