title: R - LDA Topic Model Output Data
body: <p>I'm working on building some topic models in R using the 'topicmodels' package. After pre-processing and creating a document term matrix, I am applying the following LDA Gibbs model. This may be a simple answer but I'm a newbie to R so here it goes. Is there a way that I can export the topics and term lists along with their probabilities to a text file or excel file?  I can print them in R (as below), but don't know how to export :( </p>
  
  <p>This is mainly so I can do some visualisation, which I'm sure can be done in Excel, but like I mentioned I'm a newbie and don't have too much available to learn visualisation techniques in R. Hope this makes sense</p>
  
  <pre><code>k = 33
  burnin = 1000
  iter = 1000
  keep = 50
  seed = 2003
  
  
  model_lda &lt;- LDA(myDtm, k = k, method = "Gibbs",control = list(seed = seed, burnin =     burnin, iter = iter, keep = keep))
  print(model_lda)
  save(model_lda, file = "LDA_Output.RData")
  
  topics(model_lda, 5)
  terms(model_lda, 15)
  
  
   Topic 1   Topic 2    Topic 3       Topic 4   Topic 5    Topic 6    Topic 7 
  [1,] "seat"    "dialogu"  "websit"      "census"  "northern" "growth"   "hse"   
  [2,] "resum"   "church"   "partnership" "disabl"  "univers"  "adjust"   "legisl"
  [3,] "suspend" "congreg"  "nesc"        "cso"     "peac"     "forecast" "die"   
  [4,] "adjourn" "school"   "site"        "statist" "unemploy" "bernard"  "legal" 
  [5,] "fisheri" "survivor" "nesf"        "survey"  "polic"    "burton"   "child" 
  </code></pre>