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Commit2140bbe

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fix merge
2 parents72ddee0 +70e7915 commit2140bbe

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2 files changed

+36
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‎README.md‎

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@@ -253,6 +253,7 @@ oa_df <- roadoi::oadoi_fetch(random_dois,
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####Analysis
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<<<<<<< HEAD
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roadoi returns the data in a consistent structure improved for further analysis in R.
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@@ -262,14 +263,14 @@ oa_df
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#> doi best_oa_location oa_locations oa_locations_em… data_standard is_oa
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#> <chr> <list> <list> <list> <int> <lgl>
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#> 1 10.1… <tibble [0 × 0]> <tibble [0 … <tibble [0 × 0]> 2 FALSE
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#> 2 10.3… <tibble [0 × 0]> <tibble [0 … <tibble [0 × 0]> 2 FALSE
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#> 3 10.1… <tibble [0 ×0]> <tibble [0 … <tibble [0 × 0]> 2FALSE
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#> 4 10.1… <tibble [1 ×11… <tibble [1 … <tibble [0 × 0]> 2TRUE
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#> 2 10.1… <tibble [0 × 0]> <tibble [0 … <tibble [0 × 0]> 2 FALSE
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#> 3 10.1… <tibble [1 ×9]> <tibble [2 … <tibble [0 × 0]> 2TRUE
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#> 4 10.1… <tibble [0 ×0]> <tibble [0 … <tibble [0 × 0]> 2FALSE
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#> 5 10.1… <tibble [0 × 0]> <tibble [0 … <tibble [0 × 0]> 2 FALSE
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#> 6 10.1… <tibble [0 × 0]> <tibble [0 … <tibble [0 × 0]> 2 FALSE
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#> 7 10.1… <tibble [0 × 0]> <tibble [0 … <tibble [0 × 0]> 2 FALSE
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#> 8 10.1… <tibble [1 ×10… <tibble [2 … <tibble [0 × 0]> 2TRUE
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#> 9 10.1… <tibble [0 × 0]> <tibble [0 … <tibble [0 × 0]> 2 FALSE
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#> 8 10.1… <tibble [0 ×0]> <tibble [0 … <tibble [0 × 0]> 2FALSE
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#> 9 10.3… <tibble [0 × 0]> <tibble [0 … <tibble [0 × 0]> 2 FALSE
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#> 10 10.1… <tibble [0 × 0]> <tibble [0 … <tibble [0 × 0]> 2 FALSE
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#> # … with 40 more rows, and 15 more variables: is_paratext <lgl>, genre <chr>,
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#> # oa_status <chr>, has_repository_copy <lgl>, journal_is_oa <lgl>,
@@ -282,16 +283,23 @@ For example, to determine how many full-text links were found and which sources
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```r
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=======
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roadoireturnsthedatainaconsistentstructureimprovedforfurtheranalysisinR.Forexample,todeterminehowmanyfull-textlinkswerefoundandwhichsourceswereused:
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#> Error: <text>:1:1: Unerwartete(s) '=='
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#> 1: ==
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#> ^
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```
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```r
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>>>>>>>70e7915333d1bc2b210427025ce2d0709f7fd739
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oa_df %>%
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group_by(is_oa) %>%
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summarise(Articles= n()) %>%
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mutate(Proportion=Articles/ sum(Articles)) %>%
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arrange(desc(Articles))
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#> # A tibble: 2 x 3
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#> is_oa Articles Proportion
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#> <lgl> <int> <dbl>
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#> 1 FALSE 37 0.74
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#> 2 TRUE 13 0.26
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#> Error: <text>:1:1: Unerwartete(s) '>'
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#> 1: >
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#> ^
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```
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How did Unpaywall find those Open Access full-texts, which were characterized as best matches, and how are these OA types distributed over publication types?
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summarise(Articles= n()) %>%
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arrange(desc(Articles))
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#> # A tibble: 9 x 4
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#> # Groups: oa_status, evidence [7]
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#> oa_status evidence genre Articles
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#> <chr> <chr><chr> <int>
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#> 1greenoa repository (viaOAI-PMH doi match) journal-art…3
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#> 2 bronze open (via free pdf)journal-art… 2
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#> 3gold open (viapage says license)journal-art… 2
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#> 4gold oa journal(viadoaj)journal-art…1
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#> 5 gold oa journal (viapublisher name) component 1
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#> 6 goldopen(viafree pdf) journal-art… 1
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#> 7greenoa repository (viaOAI-PMH doi match)report 1
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#> 8 green oa repository (via OAI-PMH title and first au… journal-art… 1
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#> 9green oa repository(viaOAI-PMH title and first au… other 1
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#> # Groups: oa_status, evidence [9]
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#> oa_status evidencegenre Articles
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#> <chr> <chr> <chr> <int>
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#> 1gold open (viapage says license)journal-article4
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#> 2 bronze open (via free pdf) journal-article 2
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#> 3greenoa repository (viaOAI-PMH doi match) journal-article 2
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#> 4hybridopen(viacrossref license) journal-article2
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#> 5 gold oa journal (viaobserved oa rate)journal-article 1
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#> 6 goldoa journal(viapublisher name)component 1
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#> 7gold open (viafree pdf) journal-article 1
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#> 8 green oa repository (semantic scholar lookup) book 1
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#> 9hybridopen(viapage says license) journal-article 1
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```
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####More examples

‎vignettes/intro.Rmd‎

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Original file line numberDiff line numberDiff line change
@@ -152,6 +152,7 @@ oa_df <- roadoi::oadoi_fetch(random_dois,
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####Analysis
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<<<<<<< HEAD
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roadoi returns the data in a consistent structure improved for further analysis in R.
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```{r}
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For example, to determine how many full-text links were found and which sources were used:
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```{r}
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=======
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roadoi returns the data in a consistent structure improved for further analysis in R. For example, to determine how many full-text links were found and which sources were used:
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```{r}
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>>>>>>> 70e7915333d1bc2b210427025ce2d0709f7fd739
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oa_df %>%
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group_by(is_oa) %>%
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summarise(Articles = n()) %>%

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