docs update

.Rbuildignore

@@ -9,3 +9,4 @@
 ^CODE_OF_CONDUCT\.md$
 ^LICENSE\.md$
 ^\.github$
+^Meta$

.gitignore

@@ -3,3 +3,5 @@
 .RData
 .Ruserdata
 eurlex.Rproj
+/doc/
+/Meta/

doc/eurlexpkg.R

@@ -93,13 +93,13 @@ rec_eurovoc %>%
 
 ## ----getdatapur, message = FALSE, warning=FALSE, error=FALSE------------------
 # the function is not vectorized by default
-elx_fetch_data(results$work[1],"title")
+elx_fetch_data(url = results$work[1], type = "title")
 
 # we can use purrr::map() to play that role
 library(purrr)
 
 dir_titles <- results[1:10,] %>% # take the first 10 directives only to save time
-  mutate(title = map_chr(work,elx_fetch_data, "title")) %>% 
+  mutate(title = map_chr(work, elx_fetch_data, "title")) %>% 
   as_tibble() %>% 
   select(celex, title)
 

doc/eurlexpkg.Rmd

@@ -181,13 +181,13 @@ One of the most sought-after data in the Eur-Lex dataverse is the text. It is po
 
 ```{r getdatapur, message = FALSE, warning=FALSE, error=FALSE}
 # the function is not vectorized by default
-elx_fetch_data(results$work[1],"title")
+elx_fetch_data(url = results$work[1], type = "title")
 
 # we can use purrr::map() to play that role
 library(purrr)
 
 dir_titles <- results[1:10,] %>% # take the first 10 directives only to save time
-  mutate(title = map_chr(work,elx_fetch_data, "title")) %>% 
+  mutate(title = map_chr(work, elx_fetch_data, "title")) %>% 
   as_tibble() %>% 
   select(celex, title)
 
@@ -262,6 +262,6 @@ dirs_1970_title %>%
 
 I use term-frequency inverse-document frequency (tf-idf) to weight the importance of the words in the wordcloud. If we used pure frequencies, the wordcloud would largely consist of words conveying little meaning ("the", "and", ...).
 
-This is an extremely basic application of the `eurlex` package. Much more sophisticated methods can be used to analyse both the content and metadata of European Union legislation. If the package is useful for your research, please consider citing the [accompanying paper](https://www.tandfonline.com/doi/full/10.1080/2474736X.2020.1870150).^[Michal Ovádek (2021) Facilitating access to data on European Union laws, Political Research Exchange, 3:1, DOI: [10.1080/2474736X.2020.1870150](https://www.tandfonline.com/doi/full/10.1080/2474736X.2020.1870150)]
+This is an extremely basic application of the `eurlex` package. Much more sophisticated methods can be used to analyse both the content and metadata of European Union legislation. If the package is useful for your research, please cite the [accompanying paper](https://www.tandfonline.com/doi/full/10.1080/2474736X.2020.1870150).^[Michal Ovádek (2021) Facilitating access to data on European Union laws, Political Research Exchange, 3:1, DOI: [10.1080/2474736X.2020.1870150](https://www.tandfonline.com/doi/full/10.1080/2474736X.2020.1870150)]