Dear R users, I have the following problem
I have a panel data across countries and individuals. For each country I have a sequence of dates For France for example 22/02/09 22/03/09 19/04/09 17/05/09 12/07/09 09/08/09 06/09/09 04/10/09 01/11/09 29/11/09 27/12/09 31/01/10 For Italy 14/06/09 12/07/09 09/08/09 06/09/09 04/10/09 01/11/09 29/11/09 27/12/09 31/01/10 28/02/10 28/03/10 The structure of the MS excel file is the following France Italy ...... 22/02/09 14/06/09 22/03/09 12/7/2009 19/04/09 9/8/2009 17/05/09 6/9/2009 12/7/2009 4/10/2009 09/08/09 01/11/09 6/9/2009 29/11/09 4/10/2009 27/12/09 01/11/09 31/01/10 29/11/09 28/02/10 27/12/09 28/03/10 31/01/10 I want to "plot" (in one graph) these sequences of dates in the sense that I want to have a "visual" contact of the behaviour of each of these 2 sequences because as you can see I do not have the same start date and end date for each country and each next date is not always every other 28 days. So the difference between 2 successive dates is not always 28 days but 35 is some cases or otherwise. Put differently, I have "jumps". I would like to visualize these characteristics of the series of dates by making a plot similar to http://i46.tinypic.com/2h7gpvn.png But this is not enough. I want to measure the distance between 2 successive knots (the difference between 2 successive dates) and note on the plot the number of weeks that separate apart the successive knots-dates Something like http://www.survey-design.com.au/stripplot3.png where as you can see between the knots there are some red lines. In my case these red lines would inform the reader about the number of weeks between successive knots-dates I need a specific code for this because a simple hint will not help me as I am a new R user. Thank you all ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
