tests/test-oldnode2orgmode.r

In ivanhanigan/disentangle: disentangle

################################################################
# name:oldnode2orgmode
      # project = unlist(strsplit(getwd(),"/"))[length(unlist(strsplit(getwd(),"/")))]
      # title = NA
      # dsc=''
      # ttype=dsc
      # i=NA
      # o=NA
      # notes=''
      # code=NA
      # TASK=NA
      # subsection=T
      # nosectionheading=F
      # dontshow=NA
      # append=T
      # document='sweave'
      # insertgraph=NA
      # doc_code=T
      # end_doc=F
      # dontshow_doc=NA
      # evalCode='FALSE'
      # echoCode='TRUE'
      # inserttable=NA
      # caption=''
      # tablabel='tabx'
      # digits=''
      # align=''
      # tabsideways=F
      # clearpage=F
      # KEYNODE=NA
source("R/oldnode2orgmode.r")
oldnode2orgmode(
dsc = 'Introduction'

ttype = 'reports'

title = 'HF data prep'

dontshow = T

notes = '
This is the workflow diagram for the health forecasting project at NCEPH \\cite{Dear2010} which can be viewed
\\href{http://dl.dropbox.com/u/7075452/HF_data/data_transformations.html}{at this link}.

The relationship between daily air quality and daily hospital admissions is being examined:
\\begin{itemize}
\\item Three cities, Brisbane, Melbourne and Sydney
\\item Daily for seven years, 1998 - 2004 (2,557 days)
\\item Twelve disease clusters; both emergency admissions and all admissions; though for most analyses only emergency admissions were considered
\\item By age and sex  (twelve groups)
\\item By spatial subunits of each city: statistical local area (SLA) for Melbourne and Sydney and, for Brisbane, larger zones (clusters of SLAs) designed specifically for this project.
\\end{itemize}
In all there were 0.76 million emergency admissions in Brisbane, 1.66m in Melbourne, and 2.54m in Sydney.
'

append = F

code = "x <- rnorm(1000,1,2)"
)