Nothing
#
# Code for reading Chris (Volinsky)'s event data from XML into a dataframe.
#
#
# This is the top-level function that you call to read the file and convert it
# into a data frame.
# You can call the eventHandlers() function manually and pass the result
# as the argument to the handlers argument if you want to override the
# RowConverters or verbose argument.
#
readXMLEventDataFrame =
function(fileName = "event.xml", handlers = eventHandlers(), ...)
{
xmlEventParse(fileName, handlers = handlers, ...)$result()
}
#
# The verbose argument prints out information about the different
# events the parser observes.
#
# RowConverters is a named list of functions that convert the specified/name
# variable's values.
#
# In the current implementation, we first build up a matrix of strings
# and then at the very end, we convert the columns to variables and
# form a data.frame(). If we were smarter (i.e. could assume more),
# we could create the data.frame() first and then add rows to it.
# Ideally, the XML dataset would tell us the number of records
# (i.e. <dialog> elements) it contains and we could populate the
# data.frame() from its "declared" types.
#
#
eventHandlers =
function(RowConverters = list(Date=I, f2 = as.integer, f3 = as.numeric), verbose = TRUE)
{
# dataset = data.frame()
dataset = matrix("", 1, length(RowConverters), dimnames = list(NULL, names(RowConverters)))
dataName = ""
date = ""
recordNum = 1
var = ""
record <- character()
textString <- character(0)
# This is called when we encounter the start of an XML element/tag.
# For <event>, we grab the id and date and store them to name the
# dataset.
# For <feature>, we grab the name attribute and use that as the name
# of the current variable when we get its value from the (end of the) text
#
start = function(name, atts) {
if(name == "event") {
dataName <<- atts[["id"]]
date <<- atts[["date"]]
if(verbose)
cat("Data name", dataName, ", date", date, "\n", sep="")
} else if(name == "feature") {
var <<- atts[["name"]]
if(verbose)
cat("Variable", var, "\n")
}
}
text = function(val) {
# We should have a converter here to get the right type.
if(var != "") {
if(verbose)
cat("Text", val, "\n")
textString <<- c(textString, val)
}
}
# this is called when we get the close of a tag (i.e. </element> )
# In the case of a dialog, we assume we have the end of a record
# and we put it into the dataset by adding the record/row.
# In our case, record is a character vector with names.
# This is a character vector. We'll convert the columns at the end.
end = function(name) {
if(name == "dialog") {
dataset <<- rbind(dataset, record)
recordNum <<- recordNum + 1
if(verbose)
cat("Next record\n")
} else if(name == "feature")
record[var] <<- paste(textString, collapse="")
textString <<- character(0)
var <<- ""
}
# This handler is the one we call at the end to
# post-process the result
result = function() {
dataset = dataset[-1,]
ans = as.data.frame(lapply(names(RowConverters), function(x) RowConverters[[x]](dataset[,x])))
names(ans) = names(RowConverters)
ans = list(ans)
names(ans) = dataName
ans
}
list(result = result, text = text, endElement = end, startElement = start)
}
#
#
# How to call: data is in the file named event.xml
#
# v = readXMLEventDataFrame()[[1]]
# v
# Date f2 f3
#1 2003-05-23 1 3
# 2 2003-05-24 17 24
# > sapply(v, class)
# Date f2 f3
# "AsIs" "integer" "numeric"
# >
#
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