title: R scatterplot ylim error NA values
body: <p>I am trying to recreate a graph I made in excel into R. Here is the excel version of the graph... </p>
  
  <p><a href="http://i.imgur.com/FJXbLy8.png" rel="nofollow">http://i.imgur.com/FJXbLy8.png</a></p>
  
  <p>My data set that is split into 5 segments. For simplicity, I am going to refer to my x and y labels as time and distance. I have 5 "cars" that I want to plot on the shape chart. </p>
  
  <p>The CSV file with the data looks like this (not the real numbers!):</p>
  
  <pre><code>A       B       C      D      E      F     ...
  1       4       1      8      7      15
  3       5       5      10     12     20
  5       6       7      14     20     40
  </code></pre>
  
  <p>where (A, B) gives you time/distance of car 1, (C, D) gives you time/distance of car 2 and (E, F) gives you time/distance of car 3 and so forth.       </p>
  
  <p>My code looks like this: </p>
  
  <pre><code>speed = read.csv (file = "c:/users/XXX/desktop/speed", header = TRUE, sep = ',')
  plot (A ~ B, data = speed, xlim = range (1e-5:100), ylim = range (0:200), log = "x")     
  par(new = TRUE) 
  plot (C ~ D, data = speed, xlim = range (1e-5:100), ylim = range (0:200), log = "x") 
  par (new = TRUE)
  plot (E ~ F, data = speed, xlim = range (1e-5:100), ylim = range (0:200), log = "x") 
  par(new = TRUE )
  plot(G ~ H, data = speed, xlim = range (1e-5:100), ylim = range (0:200), log = "x") 
  par (new = TRUE) 
  plot(I ~ J, data = speed, xlim = range (1e-5:100), ylim = range (0:200), log = "x")
  </code></pre>
  
  <p>I get an error saying that I have an invalid ylim value... I tried changing the numbers and no luck. </p>
  
  <p>Any tips would be appreciated!</p>
  
  <p>Here is <code>dput(speed)</code> if it is helpful to anyone...
  - I noticed the NA values in the dput, I think it comes from the fact that not every data set for each "car" is not equal? Not sure how to fix this...I could put each data set for each "car" into a different file, would that be better? </p>
  
  <pre><code>structure(list(A = c(3.59e-05, 3.75e-05, 9.67e-05, 3.92e-05, 
  2.14e-05, 9.8e-05, 0.000228481, 0.000228481, 0.000415583, 0.000859052, 
  0.002014948, 0.004079371, 0.00406138, 0.004353728, 0.008455587, 
  0.007780939, 0.018260469, NA, NA, NA, NA, NA, NA), B = c(4.76, 
  6.28, 10.5, 10.6, 12.3, 12.8, 16, 16.8, 20.7, 25.2, 34.4, 36.4, 
  37.7, 43.6, 48.7, 49.2, 66.5, NA, NA, NA, NA, NA, NA), C = c(1.734691244, 
  2.016976959, 1.707373272, 1.461511521, 0.805880184, 0.417509677, 
  0.427070968, 0.220364977, 0.21763318, 0.170282028, 0.169826728, 
  0.095612903, 0.094247005, 0.048717051, 0.044072995, 0.034921475, 
  0.023721106, 0.022901567, 0.018485161, 0.015252535, 0.008240922, 
  0.003942894, 0.002868387), D = c(176, 175, 169, 169, 169, 162, 
  161, 146, 146, 143, 143, 121, 117, 90, 90, 77.7, 70.3, 69.2, 
  67, 59.6, 50.4, 36.1, 33.7), E = c(0.0235, 0.044636324, 0.075155479, 
  0.072909589, 0.09736484, 0.0988621, 0.199428082, 0.202422603, 
  0.362878995, 0.370365297, 0.355392694, 1.438410959, 0.727212329, 
  0.722221461, 1.40597032, NA, NA, NA, NA, NA, NA, NA, NA), F = c(69L, 
  90L, 111L, 114L, 114L, 116L, 143L, 146L, 161L, 163L, 164L, 170L, 
  172L, 175L, 180L, NA, NA, NA, NA, NA, NA, NA, NA), G = c(35.29300714, 
  17.47300714, 4.351007143, 3.182292857, 3.182292857, 1.411864286, 
  1.435007143, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
  NA, NA, NA, NA), H = c(180L, 180L, 180L, 180L, 177L, 175L, 171L, 
  NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA
  ), I = c(0.021, 0.0258, 0.029929032, 0.034574194, 0.064612903, 
  0.088870968, 0.17816129, 0.163967742, NA, NA, NA, NA, NA, NA, 
  NA, NA, NA, NA, NA, NA, NA, NA, NA), J = c(67, 68.7, 75.2, 84.6, 
  115, 121, 152, 155, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
  NA, NA, NA, NA)), .Names = c("A", "B", "C", "D", "E", "F", "G", 
  "H", "I", "J"), class = "data.frame", row.names = c(NA, -23L))
  </code></pre>