title: Is it possible to make a heatmap with 200k rows?
body: <p>I would like to know if it is possible to make a heatmap with 200k rows? I have a matrix with genomic coordinates as rows and each column represents the presence or absence of that region in each patients. so I have 15 patient (columns). Now when I am trying heatmap.2 or pheatmap I get the memory allocation problem, how will I be able to use the entire matrix to generate a heatmap. The values of my matrix are jsut 0 and 1 and I want to draw some hypothesis based on the heatmap. How will I be able to use it. I tried once on my laptop but it does not help , so I tried in our linux cluster which is quite powerful. But still shows the below error. How can I resolve this problem. I also add the <code>sessionInfo()</code> . Any workaround is appreciated</p>
  
  <pre><code>data&lt;-read.delim("path/H3_marks_map.txt",sep="\t", row.names=1)
  pdf(file="path/map/H3_maps1.pdf")
  pheatmap(data,scale="none")
  Error: cannot allocate vector of size 170.5 Gb
  dev.off()
  
  sessionInfo()                           
  R version 3.1.2 (2014-10-31)
  Platform: x86_64-unknown-linux-gnu (64-bit)
  
  locale:
   [1] LC_CTYPE=C             LC_NUMERIC=C           LC_TIME=C.UTF-8       
   [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8   
   [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C          
  [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C   
  
  attached base packages:
  [1] stats     graphics  grDevices utils     datasets  methods   base     
  
  other attached packages:
  [1] RColorBrewer_1.1-2 pheatmap_1.0.7    
  
  loaded via a namespace (and not attached):
  [1] colorspace_1.2-6 grid_3.1.2       gtable_0.1.2     munsell_0.4.2   
  [5] plyr_1.8.3       Rcpp_0.12.1      scales_0.3.0     tools_3.1.2 
  </code></pre>