Generate table of journal paper percentages, by continent and year

Usage

scatter_continent_year(
  data,
  method = "lm",
  plotly = TRUE,
  citation = NULL,
  citation_size = 15,
  ...
)

Arguments

data: The processed dataframe of data
method: Which method to use for the regression line, either "lm" (default) or "loess".
plotly: Logical, whether to use plotly for dynamic data visualization.
citation: Optionally, a citation to add as a footer.
citation_size: Font size of the citation.
...: Further arguments passed to rempsyc::nice_scatter

Examples

# \dontshow{
.old_wd <- setwd(tempdir())
# }
if (FALSE) {
pubmed_query_string <- paste(
  "passion [Title/Abstract]",
  "AND Dualistic Model of Passion [Text Word]"
)

save_process_pubmed_batch(
  pubmed_query_string,
  year_low = 2022,
  year_high = 2023
)
data <- read_bind_all_data()
suppressWarnings(scatter_continent_year(data))
}
# \dontshow{
unlink("easyPubMed_data_01.txt")
setwd(.old_wd)
# }