make_productions_page: Generate HTML page with productions list and summary chart
In fcampelo/ChocoLattes: Processing Data from Lattes CV Files

Description Usage Arguments Examples

This function generates an HTML page with productions list and summary chart. Use chart.type = "plotly" for an interactive plot, and "ggplot2" for a static one. Option "rCharts" is currently disabled, until the rCharts package (https://github.com/ramnathv/rCharts) becomes available on CRAN.

make_productions_page(lattes.list, chart.type = c("ggplot2", "plotly",
  "rCharts"), chart.width = 960, chart.height = 480,
  h1.title = "My Laboratory<br/>My Department<br/>My University",
  h2.title = "Academic Productions", language = c("EN", "PT"),
  which.fields = c("journal.accepted", "journal.published",
  "conference.international", "conference.national", "book.chapters", "books",
  "phd.theses", "msc.theses"))

`lattes.list`	a Lattes list object created using `lattes_to_list()`
`chart.type`	package to use for generating the summary chart. "plotly" and "rCharts" output interactive charts, "ggplot2" outputs a static one.
`chart.width`	plot width (for "plotly" and "rCharts")
`chart.height`	plot height (for "plotly")
`h1.title`	H1 title for the page
`h2.title`	H2 subtitle for the page
`language`	Language to use in section headers
`which.fields`	Character vector indicating which fields to include in the productions page.

# Load example data and convert it to a lattes list
CV.dir <- system.file("extdata", package="ChocoLattes")

# Define the aliases of authors "Felipe Campelo" and "Lucas S. Batista":
# (all aliases will be converted to the first name provided for each author)
my.aliases <- list(c("Felipe Campelo",
                     "Felipe Campelo Franca Pinto",
                     "Felipe Campelo F. Pinto",
                     "F.C.F. Pinto"),
                   c("Lucas S. Batista",
                     "Lucas Batista",
                     "Lucas de Souza Batista",
                     "Lucas Souza Batista"))

lattes.list <- lattes_to_list(CV.dir         = CV.dir,
                              author.aliases = my.aliases)


# Build productions page:
if(rmarkdown::pandoc_available()) {
  make_productions_page(lattes.list,
                        chart.type     = "ggplot2",
                        h1.title       = "ORCS Lab",
                        h2.title       = "UFMG, Brazil",
                        language       = "EN")
}