[R] How to best read in this data / Switching rows and colums

2008-04-02 Thread mika03
Hi, I have to read in data which looks like this: SeriesA, 5, 5, 5, 5 SeriesB, 8, 5, 8, 8, 7, 10, 2, 7, 3 SeriesC, 5, 5, 8, 4, 7, 7, 4, 5 SeriesD, 5, 9, 5, 4, 2, 3, 10, 1 SeriesE, 7, 10, 9, 5, 8, 6, 10, 9, 5, 10, 4, 3, 2, 10, 8, 8, 10, 10, 10 SeriesF, 1, 2, 1, 5, 1, 7, 5, 7, 7, 3 There are

Re: [R] Quick question: Does this graph have a name?

2008-03-30 Thread mika03
Thanks a lot for all your replies so far! I now share your feeling that this might not be the best way to show the data. Here's what the data is about: We have search engine queries (12,000 of them), which are grouped into semantic categories. (Some ask for a Person, some are about celebrity

[R] Quick question: Does this graph have a name?

2008-03-28 Thread mika03
http://www.nabble.com/file/p16349649/at-length.png Hi, I produced this graph with R and I am very happy with it. But now I wonder: Is this some standard way of displaying data and if so, does it have a name? (like Histogram, Box plot etc.) I need to explain the plot to people so knowing a bit

[R] Orientation of labels on axes

2008-01-07 Thread mika03
http://www.nabble.com/file/p14664173/at-modality.png I created the above image with R and I have one problem left: Some of the labels of the axes do not show up, probably because there's not enough space. I use the following code to create the plot: modality - read.table(results.table,

[R] Great looking plot - but what does it mean?

2008-01-07 Thread mika03
http://www.nabble.com/file/p14668788/paragraphs.png Hi, R is is world full of wonders... I created the attached plot, and I think it's exactly what I need! Well, actually I think it is more that wht I need... I wanted R to show the mean values of the categories on the x-axis and maybe the

[R] Sorting of captions on axes

2008-01-04 Thread mika03
Hello, I think this might be a beginner question, but I couldn't find the answer in the manual... http://www.nabble.com/file/p14618947/at-modality.png I created this image with R by using the following code: modality - read.table(results.table, header=TRUE, sep=,) color -