title: Eliminate NA's and bind the two column values and plot the result in R
body: <p>I am plotting the data with this code </p>
  
  <pre><code>dd &lt;- melt(b,id.vars=c("Mesocosm","Exp.day"), measure.vars=myvars)
  dd$Exp.day = factor(dd$Exp.day,levels = order(levels(dd$Exp.day)))
  ggplot(dd,na.rm=TRUE,aes(x=Exp.day,y=value)) + geom_point(aes(color=factor(Mesocosm)), size = 3,position = position_jitter(width = 0.1)) +
    facet_wrap(~variable, nrow=3, ncol=2,scales = "free_y")
  </code></pre>
  
  <p>and the data is distorted for the many facets. the dataframe after importing into R doesnt place any NA for most of the blank spaces and after melt there is NA in the Exp.day axis.</p>
  
  <p>I dont have any idea of how to handle the NA's inside the ggplot and also why that Y axis is distorted. Please let me know how to solve these problems.</p>
  
  <p>Here you can see the NA values are not there, I mean you can see at 0 there are no continuous values. (Color is not an issue, but the plotted data is not matching to the dataframe values.) and looks like Y axis has multiple values one over the other. How to solve this ?</p>
  
  <p>Thanks in advance</p>