Re: [R] Horizontal bar plot for lengthy data

2013-08-06 Thread Christofer Bogaso
Hello Jim, Thanks for your pointer. Could you be more specific how I can implement your strategy? Thanks and regards, On Tue, Aug 6, 2013 at 2:49 PM, Jim Lemon wrote: > On 08/06/2013 07:01 AM, Christofer Bogaso wrote: > >> Hi David, >> >> Thanks for your answer. >> >> However I was thinking i

Re: [R] Horizontal bar plot for lengthy data

2013-08-06 Thread Jim Lemon
On 08/06/2013 07:01 AM, Christofer Bogaso wrote: Hi David, Thanks for your answer. However I was thinking if it would be possible to have the Vertical-scroll bar, so that user can scroll his screen while still having all the bars on the plot clearly. Is there any possibility? Hi Christofer,

Re: [R] Horizontal bar plot for lengthy data

2013-08-05 Thread Christofer Bogaso
Hi David, Thanks for your answer. However I was thinking if it would be possible to have the Vertical-scroll bar, so that user can scroll his screen while still having all the bars on the plot clearly. Is there any possibility? Thanks and regards, On Tue, Aug 6, 2013 at 2:38 AM, David Carlson

Re: [R] Horizontal bar plot for lengthy data

2013-08-05 Thread David Carlson
It doesn't seem "messed up." You can't expect to plot two thousand bars on a graph and really see anything. On my monitor, there are only about 680 vertical pixels on the plot window, you are trying to plot 3 bars for each row of dots on the monitor! Try this (just the first twenty lines of your d

Re: [R] Horizontal bar plot for lengthy data

2013-08-05 Thread Bert Gunter
... and also have a look at ?dotplot. -- Bert On Mon, Aug 5, 2013 at 1:29 PM, Bert Gunter wrote: > If you insist on bars instead of points, then have a look at the type > ="h" argument to plot.default(). > > In general, designing an effective plot typically depends both on the > nature of the su

Re: [R] Horizontal bar plot for lengthy data

2013-08-05 Thread Bert Gunter
If you insist on bars instead of points, then have a look at the type ="h" argument to plot.default(). In general, designing an effective plot typically depends both on the nature of the subject matter, the data, and the intended audience, so it is difficult (for me, anyway) to give a useful gener