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Prepare 0.1.3 (#253)
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@maurolepore
maurolepore authored Dec 15, 2020
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76 changes: 5 additions & 71 deletions README.md
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Expand Up @@ -57,20 +57,7 @@ matched %>%
co2_intensity_scenario = co2_intensity_scenario_demo
)
#> Warning: Removing ald rows where `emission_factor` is NA
#> # A tibble: 508 x 4
#> sector year emission_factor_metric emission_factor_value
#> <chr> <dbl> <chr> <dbl>
#> 1 automotive 2002 projected 0.228
#> 2 automotive 2003 projected 0.226
#> 3 automotive 2004 projected 0.224
#> 4 automotive 2005 projected 0.222
#> 5 automotive 2006 projected 0.220
#> 6 automotive 2007 projected 0.218
#> 7 automotive 2008 projected 0.216
#> 8 automotive 2009 projected 0.214
#> 9 automotive 2010 projected 0.212
#> 10 automotive 2011 projected 0.210
#> # … with 498 more rows
#> <print(tibble::tibble())>
```

- Use `target_market_share` to calculate market-share scenario targets at the portfolio level:
Expand All @@ -82,20 +69,7 @@ matched %>%
scenario = scenario_demo_2020,
region_isos = region_isos_demo
)
#> # A tibble: 3,479 x 8
#> sector technology year region scenario_source metric production
#> <chr> <chr> <int> <chr> <chr> <chr> <dbl>
#> 1 autom… electric 2020 global demo_2020 proje… 145942.
#> 2 autom… electric 2020 global demo_2020 targe… 145942.
#> 3 autom… electric 2020 global demo_2020 targe… 145942.
#> 4 autom… electric 2020 global demo_2020 targe… 145942.
#> 5 autom… electric 2021 global demo_2020 proje… 148212.
#> 6 autom… electric 2021 global demo_2020 targe… 148361.
#> 7 autom… electric 2021 global demo_2020 targe… 160625.
#> 8 autom… electric 2021 global demo_2020 targe… 149016.
#> 9 autom… electric 2022 global demo_2020 proje… 150481.
#> 10 autom… electric 2022 global demo_2020 targe… 150730.
#> # … with 3,469 more rows, and 1 more variable: technology_share <dbl>
#> <print(tibble::tibble())>
```

- Or at the company level:
Expand All @@ -112,20 +86,7 @@ matched %>%
#> This will result in company-level results, weighted by the portfolio
#> loan size, which is rarely useful. Did you mean to set one of these
#> arguments to `FALSE`?
#> # A tibble: 15,299 x 9
#> sector technology year region scenario_source name_ald metric production
#> <chr> <chr> <int> <chr> <chr> <chr> <chr> <dbl>
#> 1 autom… electric 2020 global demo_2020 shangha… proje… 5140.
#> 2 autom… electric 2020 global demo_2020 shangha… targe… 5140.
#> 3 autom… electric 2020 global demo_2020 shangha… targe… 5140.
#> 4 autom… electric 2020 global demo_2020 shangha… targe… 5140.
#> 5 autom… electric 2020 global demo_2020 sichuan… proje… 2992.
#> 6 autom… electric 2020 global demo_2020 sichuan… targe… 2992.
#> 7 autom… electric 2020 global demo_2020 sichuan… targe… 2992.
#> 8 autom… electric 2020 global demo_2020 sichuan… targe… 2992.
#> 9 autom… electric 2020 global demo_2020 singula… proje… 8674.
#> 10 autom… electric 2020 global demo_2020 singula… targe… 8674.
#> # … with 15,289 more rows, and 1 more variable: technology_share <dbl>
#> <print(tibble::tibble())>
```

### Utility Functions
Expand All @@ -149,39 +110,12 @@ loanbook_joined_to_ald_scenario <- matched %>%
# portfolio level
loanbook_joined_to_ald_scenario %>%
summarize_weighted_production(scenario, tmsr, smsp, region)
#> # A tibble: 702 x 9
#> sector_ald technology year scenario tmsr smsp region weighted_produc…
#> <chr> <chr> <int> <chr> <dbl> <dbl> <chr> <dbl>
#> 1 automotive electric 2020 cps 1 0 global 145942.
#> 2 automotive electric 2020 sds 1 0 global 145942.
#> 3 automotive electric 2020 sps 1 0 global 145942.
#> 4 automotive electric 2021 cps 1.12 0.00108 global 148212.
#> 5 automotive electric 2021 sds 1.16 0.00653 global 148212.
#> 6 automotive electric 2021 sps 1.14 0.00137 global 148212.
#> 7 automotive electric 2022 cps 1.24 0.00213 global 150481.
#> 8 automotive electric 2022 sds 1.32 0.0131 global 150481.
#> 9 automotive electric 2022 sps 1.29 0.00273 global 150481.
#> 10 automotive electric 2023 cps 1.35 0.00316 global 152751.
#> # … with 692 more rows, and 1 more variable: weighted_technology_share <dbl>
#> <print(tibble::tibble())>

# company level
loanbook_joined_to_ald_scenario %>%
summarize_weighted_production(scenario, tmsr, smsp, region, name_ald)
#> # A tibble: 9,567 x 10
#> sector_ald technology year scenario tmsr smsp region name_ald
#> <chr> <chr> <int> <chr> <dbl> <dbl> <chr> <chr>
#> 1 automotive electric 2020 cps 1 0 global shangha…
#> 2 automotive electric 2020 cps 1 0 global sichuan…
#> 3 automotive electric 2020 cps 1 0 global singula…
#> 4 automotive electric 2020 cps 1 0 global south-e…
#> 5 automotive electric 2020 cps 1 0 global suzuki …
#> 6 automotive electric 2020 cps 1 0 global tata gr…
#> 7 automotive electric 2020 cps 1 0 global tesla i…
#> 8 automotive electric 2020 cps 1 0 global toyota …
#> 9 automotive electric 2020 cps 1 0 global volkswa…
#> 10 automotive electric 2020 cps 1 0 global wheego
#> # … with 9,557 more rows, and 2 more variables: weighted_production <dbl>,
#> # weighted_technology_share <dbl>
#> <print(tibble::tibble())>
```

[Get started](https://2degreesinvesting.github.io/r2dii.analysis/articles/r2dii-analysis.html).
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28 changes: 14 additions & 14 deletions revdep/README.md
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@@ -1,22 +1,22 @@
# Platform

|field |value |
|:--------|:----------------------------|
|version |R version 4.0.3 (2020-10-10) |
|os |Ubuntu 18.04.5 LTS |
|system |x86_64, linux-gnu |
|ui |X11 |
|language |en_US:en |
|collate |en_US.UTF-8 |
|ctype |en_US.UTF-8 |
|tz |America/Monterrey |
|date |2020-12-04 |
|field |value |
|:--------|:------------------------------|
|version |R version 4.0.3 (2020-10-10) |
|os |Ubuntu 18.04.5 LTS |
|system |x86_64, linux-gnu |
|ui |X11 |
|language |en_US:en |
|collate |en_US.UTF-8 |
|ctype |en_US.UTF-8 |
|tz |America/Argentina/Buenos_Aires |
|date |2020-12-15 |

# Dependencies

|package |old |new |Δ |
|:--------------|:------|:----------|:--|
|r2dii.analysis |0.1.1 |0.1.1.9000 |* |
|r2dii.analysis |0.1.2 |0.1.2.9000 |* |
|assertthat |0.2.1 |0.2.1 | |
|cli |2.2.0 |2.2.0 | |
|cpp11 |0.2.4 |0.2.4 | |
Expand All @@ -32,15 +32,15 @@
|pillar |1.4.7 |1.4.7 | |
|pkgconfig |2.0.3 |2.0.3 | |
|purrr |0.3.4 |0.3.4 | |
|r2dii.data |0.1.4 |0.1.4 | |
|r2dii.data |0.1.6 |0.1.6 | |
|R6 |2.5.0 |2.5.0 | |
|rlang |0.4.9 |0.4.9 | |
|tibble |3.0.4 |3.0.4 | |
|tidyr |1.1.2 |1.1.2 | |
|tidyselect |1.1.0 |1.1.0 | |
|utf8 |1.1.4 |1.1.4 | |
|vctrs |0.3.5 |0.3.5 | |
|zoo |NA |1.8-8 |* |
|zoo |1.8-8 |1.8-8 | |

# Revdeps

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