title: How to Plot Graph of multiple securities with multiple time series in R
body: <p>I have 5413 companies (as columns) and time period of 2000 to 2014 daily  stock price observations, 3789 is observation count in my dataset. So, now I want to plot the graphs of these companies prices and also plot the graphs of the log returns I created in separate dataframe. I illustrate some portion of the dataframe as follows</p>
  
  <pre><code>Date       A G L    ABA    ABB ABBEY 
  2000-1-3    NA      NA      NA  NA
  2000-1-4    79.5    325     NA  961  
  2000-1-5    79.5    322.5   NA  945
  2000-1-6    79.5    327.5   NA  952
  2000-1-7    NA      327.5   NA  941  
  2000-1-10   79.5    327.5   NA  946
  2000-1-11   79.5    327.5   NA  888
  </code></pre>
  
  <p>and daily log returns </p>
  
  <pre><code> Date      A G L    ABA      ABB         ABBEY
    2000-01-04   NA           NA   NA           NA
    2000-01-05    0 -0.007722046   NA -0.016789481
    2000-01-06    0  0.015384919   NA  0.007380107
    2000-01-07   NA  0.000000000   NA -0.011621895
    2000-01-10   NA  0.000000000   NA  0.005299429
    2000-01-11    0  0.000000000   NA -0.063270826
  </code></pre>
  
  <p>I want to plot the graphs with companies name as Y-axis and Date as X-axis, separately for each company in my dataframes. I want to show that trend or stationarity in the stock prices series has been removed by log returns
  I tried <code>plot.ts(Price)</code> but it returns </p>
  
  <pre><code>Error in plotts(x = x, y = y, plot.type = plot.type, xy.labels = xy.labels,  : 
    cannot plot more than 10 series as "multiple"
  </code></pre>