R/methods.R

Defines functions print.tw_Class_jaccard plot.tw_Class_graph plot.tw_Class_words plot.tw_Class_table plot.tw_Class_ts

Documented in plot.tw_Class_graph plot.tw_Class_table plot.tw_Class_ts plot.tw_Class_words

#' @rdname tw_timeseries
#' @param x An object of class [tw_Class_ts].
#' @param rangeSelector Logical scalar. Wheather or not to include a time range
#' selector.
#' @param main,xlab,ylab,group,width,height Passed to [dygraphs::dygraph()].
#' @param ... Further arguments to be passed to the [dygraphs::dygraph()].
#' @author George G. Vega Yon
#' @export
plot.tw_Class_ts <- function(
  x,rangeSelector=TRUE,main='Number of daily tweets',
  xlab=NULL,ylab=NULL,group=NULL,width = 600,height = 400,...) {
  
  # Plotting graph
  graph<-dygraph(x,main,xlab,ylab,group,width,height,...)
  if (rangeSelector) dyRangeSelector(graph)
  else graph
}


#' @rdname tw_table
#' @param y Ignored
#' @param nentries Number of rows to include in the table
#' @param caption,options Passed to [DT::datatable()].
#' 
#' @details 
#' In the case of `plot.tw_Class_table`, `...` are passed to [DT::datatable()]
#' 
#' @export
plot.tw_Class_table <- function(
  x, y=NULL, nentries=20, caption='Most popular hashtags',
  options=list(pageLength=5),...) {
  datatable(x[1:nentries,], options = options,rownames = FALSE,...)
}

# elements <- tw_extract(senate_tweets$text)
# x <- tw_table(elements$mention)
# head(x)
# plot(x)

#' Plot words
#' @param x A `tw_Class_words` object
#' @param y Ignored
#' @param scale See [wordcloud()]
#' @param min.freq See [wordcloud()]
#' @param max.n.words Max number of words to include
#' @param colors See [wordcloud()]
#' @param ... Further arguments to be passed to [wordcloud()]
#' @export
plot.tw_Class_words <- function(
  x,y=NULL,scale=c(4,.5),min.freq=100,max.n.words=100,
  colors=brewer.pal(min(c(9,max.n.words)),'Blues'),
  ...) {
  
  # Creating data table
  x <- as.data.frame(table(unlist(x,recursive = TRUE)),responseName = 'n',
                     stringsAsFactors = FALSE)
  x <- x[order(-x$n),] 
  
  # Plotting
  max.n.words <- min(c(max.n.words,nrow(x)))
  with(x[1:max.n.words,],
       wordcloud(Var1,n,scale,min.freq, 
                 colors = colors,...)
  ) 
  
  # return data table
  invisible(x)
} 

# load('data/senate_tweets_example.RData')
# words <- tw_words(senate_tweets$text)
# head(words)
# tab <- plot(words)
# head(tab,20) 

#' Plots a network using D3js
#' @param x A tw_Class_graph object (see [tw_network()])
#' @param y Ignored
#' @param nodelabel Name of the column that containts the name
#' @param opacity See [forceNetwork()]
#' @param opacityNoHover Idem
#' @param legend Whether to include a legend or not
#' @param ... Further arguments to pass to forceNetwork
#' @return A D3js graph
#' @export
plot.tw_Class_graph <- function(
  x,y=NULL,
  nodelabel='name',
  opacity = .9,
  opacityNoHover = .5, legend = TRUE,
  ...) {
  
  forceNetwork(
    Links = x$links,
    Nodes = x$nodes, 
    Source="source", Target="target",
    Value="value",NodeID=nodelabel, Group="group",
    opacity = opacity,
    opacityNoHover = opacityNoHover, legend = legend,
    Nodesize="size",
    ...)
}

#' @export
#' @method print tw_Class_jaccard
print.tw_Class_jaccard <- function(x, ...) {
  n <- x$nwords
  cat("Jaccard index Matrix (Sparse) of ",n,"x",n," elements\n",sep="")
  cat("Contains the following words (access via $freq):\n")
  print(head(x$freq))
  invisible(x)
}
gvegayon/twitterreport documentation built on Nov. 29, 2017, 3:16 p.m.