Nothing
readUTF8 = function(file, ...) readLines(con = file, encoding = 'UTF-8', warn = FALSE, ...)
writeUTF8 = function(text, ...) writeLines(enc2utf8(text), ..., useBytes = TRUE)
#' pandoc uses \longtable when converting markdown tables. From what I
#' understand this is hardcoded behaviour.
#' Since this isn't the table format specified by the f1000 template,
#' we'll attempt to convert the pandoc output into one that matches.
#' There are probably lots of caveats that aren't caught yet.
#' The general principle is to find each \longtable chunk and process it
#' separately. The modified text is then re inserted into the document,
#' and the original lines removed.
#'
#' @importFrom stringr str_detect
#' @noRd
.processPandocTables <- function(lines) {
## find lines marking start and end of \longtable chunks and create a list of duples
longtableLines <- which(str_detect(string = lines, pattern= "(\\\\begin|\\\\end)\\{longtable\\}.*$"))
## we do nothing if there are no tables
if(length(longtableLines)) {
longtableLines <- split(longtableLines,
rep(1:(length(longtableLines)/2), each = 2))
## create a list where each entry is a table chunk
tableList <- lapply(longtableLines,
function(x, lines) { lines[(x[1]:x[2])] }, lines)
## fix each chunk and return a vector of lines, which we insert in the correct place
fixed_table_lines <- sapply(tableList, .individualTable)
lines[ do.call("rbind", longtableLines)[,1] ] <- fixed_table_lines
## flag all the original \longtable lines and remove
rm_lines <- unlist(lapply(longtableLines, function(x) { (x[1]+1):(x[2]) }))
lines <- lines[ -rm_lines ]
}
lines
}
#' This function expects to be passed a character vector containing the
#' lines from a single \longtable chunk in a latex document. It then tries
#' to reformat this to the standard \table environment and returns the results
#' as a single string seperated by new line characters
#'
#' @importFrom stringr str_detect str_replace
#' @noRd
.individualTable <- function(lines) {
## find the column justifications
## we use these later once the tabledata environment is defined
justLines <- which(str_detect(pattern = "^.*\\\\begin\\{longtable\\}.*$", string = lines))
if(length(justLines)) {
justEntries <- gsub(pattern = "^.*\\](\\{.*\\})", replacement = "\\1", x = lines[justLines])
}
## header line comes after the first \toprule
first_toprule <- min(which(str_detect(pattern = "^.*\\\\toprule$", string = lines)))
last_endhead <- max(which(str_detect(pattern = "^.*\\\\endhead$", string = lines)))
## insert header line with latex tag, and remove all other parts of table header
lines[first_toprule] <- paste0("\\centering\n\\begin{tabledata}", justEntries)
lines[first_toprule+1] <- paste("\\header", lines[first_toprule+1])
lines <- lines[-((first_toprule+2):(last_endhead))]
## lines between our new header and \bottomrule are data rows
last_header <- max(which(str_detect(pattern = "^\\\\header", string = lines)))
last_bottomrule <- max(which(str_detect(pattern = "^\\\\bottomrule$", string = lines)))
lines[(last_header+1):(last_bottomrule-1)] <- paste("\\row", lines[(last_header+1):(last_bottomrule-1)])
## mark the end of the table data
lines[last_bottomrule] <- "\\end{tabledata}"
## substitute longtable for regular table
lines <- gsub(pattern = "^.*(\\\\begin\\{|\\\\end\\{)long(table\\}).*$",
replacement = "\\1\\2",
x = lines)
## add placement specifier
lines <- gsub(pattern = "^(\\\\begin\\{table\\})$",
replacement = "\\1[htbp]",
x = lines)
## fix the new lines
lines <- str_replace(string = lines,
pattern = "(^\\\\row.*|^\\\\header.*)\\\\tabularnewline$",
replacement = "\\1\\\\\\\\")
lines <- str_replace(string = lines,
pattern = "(^.*)\\\\tabularnewline$",
replacement = "\\1")
## collapse into a single string seperated with new lines.
paste(lines, collapse = "\n")
}
#' We use rmarkdown's function to find additional figures, bibtex files etc
#' and copy them to the same directory we're putting the final document.
#'
#' @importFrom rmarkdown find_external_resources
#' @noRd
.copyExternalResources <- function( rmd, dest = NULL ) {
files <- find_external_resources( rmd )[,'path']
if(length(files)) {
file.copy(from = file.path(dirname(rmd), files),
to = dest)
}
}
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