export.design(design, response.names = NULL, 
       path = ".", filename = NULL, legend = NULL, type = "html", 
       OutDec = options("OutDec")$OutDec, replace = FALSE, ...)
html(object, ...)
## S3 method for class 'data.frame':
html(object, file = paste(first.word(deparse(substitute(object))),
    "html", sep = "."), append = FALSE, link = NULL, linkCol = 1, bgs.col = NULL,
          OutDec=options("OutDec")$OutDec, linkType = c("href", "name"), ...)getwd()factor.names element of design.info(design)"rda", "html", "csv", or "all". 
        An R workspace with just the design object is always stored as an "rda" object. 
        If one of the other types is specified, the design "." or ","; 
        the default is the option setting in the R options; this option also directs  
        whether write.cshtml, 
       usable e.g. for modifying row coloringexport.design always stores an R workspace that contains just 
   the design (with attached attributes, cf. class design). This file is stored 
   with ending rda.
If requested by options type="csv", type="html", or type="all", 
   export.design additionally creates an exported version of 
   the design that is usable outside of R. This is achieved via functions 
   write.csv, write.csv2 or html. 
   The csv-file contains the data frame itself only, the html file contains the data frame 
   followed by the legend to the right of the data frame. The html file uses row coloring in 
   order to prevent mistakes in recording of experimental results by mix-ups of rows. 
   If the OutDec option is correct for the current computer, the csv and html files can 
   be opened in Excel, and decimal numbers are correctly interpreted. 
   
   Generation of the html-file is particularly important for Taguchi inner/outer array designs 
   in wide format, because it provides the legend to the suffix numbers of response columns in terms of 
   outer array experimental setups!
   
   The function html and its data frame method are internal.FrF2-package, DoE.wrapper-package## six 2-level factors
  test <- oa.design(nlevels=c(2,3,3,3))
  ## export an html file with legend and two responses
  ## files test.rda and test.html will be written to the current working directory, 
  ##     if they do not exist yet
  export.design(test, response.names=c("pressure", "temperature"))Run the code above in your browser using DataLab