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POR plot function - axes for a line chart
 

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  1. POR plot function - axes for a line chart
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    <p>assume the following frequency table in R, which comes out of a survey:</p> <pre><code> 1 2 3 4 5 8 m 5 16 3 16 5 0 f 12 25 3 10 3 1 NA 1 0 0 0 0 0 </code></pre> <p>The rows stand for the gender of the survey respondent (male/female/no answer). The colums represent the answers to a question on a 5 point scale (let's say: 1= agree fully, 2 = agree somewhat, 3 = neither agree nor disagree, 4= disagree somewhat, 5 = disagree fully, 8 = no answer).</p> <p>The data is stored in a dataframe called "slm", the gender variable is called "sex", the other variable is called "tv_serien".</p> <p>My problem is, that I don't find a (in my opinion) proper way to create a line chart, where the x-axis represents the 5-point scale (plus the don't know answers) and the y-axis represents the frequencies for every point on the scale. Furthemore I want to create two lines (one for males, one for females).</p> <p>My solution so far is the following:</p> <ol> <li><p>I create a plot without plotting the "content" and the x-axis:</p> <pre><code>plot(slm$tv_serien, xlim = c(1,6), ylim = c(0,100), type = "n", xaxt = "n") </code></pre></li> </ol> <p>The problem here is that it feels like cheating to specify the <code>xlim=c(1,6)</code>, because the raw scores of <code>slm$tv_serien</code>are 100 values. I tried also to to plot the variable via <code>plot(factor(slm$tv_serien)...)</code>, but then it would still create a metric scale from 1 to 8 (because the dont know answer is 8).</p> <p>So my first question is how to tell R that it should take the six distinct values (1 to 5 and 8) and take that as the x-axis?</p> <ol start="2"> <li><p>I create the new x axis with proper labels:</p> <pre><code>axis(1, 1:6, labels = c("1", "2", "3", "4", "5", "DK")) </code></pre></li> </ol> <p>At least that works pretty well. ;-)</p> <ol start="3"> <li><p>Next I create the line for the males:</p> <pre><code>lines(1:5, table(slm$tv_serien[slm$sex == 1]), col = "blue") </code></pre></li> </ol> <p>The problem here is that there is no DK (=8) answer, so I manually have to specify <code>x = 1:5</code> instead of 1:6 in the "normal" case. My question here is, how to tell R to also draw the line for nonexisting values? For example, what would have happened, if no male had answered with 3, but I want a continuous line?</p> <ol start="4"> <li><p>At last I create the line for females, which works well:</p> <pre><code>lines(1:6, table(slm$tv_serien[slm$sex == 2], col = "red") </code></pre></li> </ol> <p>To summarize:</p> <ul> <li>How can I tell R to take the 6 distinct values of <code>slm$tv_serien</code> as the x axis?</li> <li>How can i draw continuous lines even if the line contains "0"?</li> </ul> <p>Thanks for your help!</p> <p>PS: Attached you find the current plot for the abovementiond functions.</p> <p>PPS: I tried to make a list from "1." to "4." but it seems that every new list element started again with "1.". Sorry.</p> <p><img src="https://i.stack.imgur.com/feHPI.png" alt="line chart"></p>
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    1. COThis doesn't answer your question, but is a line chart even the best kind of visualization for this type of data? Since you're talking count, I would have thought a bar chart would have been more appropriate.
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    2. COSome of the options I mention [here](http://stats.stackexchange.com/questions/34776/suggestions-on-how-to-visualize-survey-data/34778#34778) might also be of interest to you....
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    3. COAbsolutely true. I just took this as an example. A bar chart would make more sense and I managed to create a nice one, but the problems I mentioned for my line chart still exist and would also be true for other (more appropriate) cases.
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