Dear Duncan,
"If you want to make a plot of the style of xyplot a numerical index of
the country is needed and then use the scales argument to annote the
labels with the country."
I think you were right. It worked and I does seem to be the simplest
option. Many thanks !
Regards,
Arnaud
Le 25.07.2013 00:41, Duncan Mackay a écrit :
forgot to cc to list
Hi
For an xyplot you have not got the proper coding for the x value which
should be numeric.
If you want to make a plot of the style of xyplot a numerical index of
the country is needed and then use the scales argument to annote the
labels with the country.
Do you want multiple panels ?
A self contained dataset via dput would help elicit further information.
Have a look at the outer and related arguments as well as the group
arguments. A combined index for regions with countries may be necessary.
Regards
Duncan
Duncan Mackay
Department of Agronomy and Soil Science
University of New England
Armidale NSW 2351
Email: home: mac...@northnet.com.au
At 00:17 25/07/2013, you wrote:
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Dear R mailing list readers,
I am facing the following problem; for simplicity imagine I am
working on a data frame of, say, 5 columns. The first column is a
list of European countries, the other four are an index (continuous
variable) of climate change impact under 4 different scenarios.
Country
2050B2
2050A2
2080B2
2080A2
Austria
-0.2
-0.6
...
Belgium
-0.2
-0.6
Bulgaria
-0.5
-0.8
Czech republic
-0.5
-0.8
United kingdom
-0.2
-0.6
I am using the package lattice to make a nice plot of the dots from
the different scenario using the following code;
my.plot <- xyplot(2050B2+2050A2+2080B2+2080A2~country, data=my.dat,
scales=list(x=list(rot=45)))
note: the part "scales=list(x=list(rot=45))" is pure aesthetic here.
So far, so good. However, I wish to order the x-axis (countries) by
grouping them by European region; i.e Austria, Belgium and United
kingdom are western Europe, while Bulgaria and Czech republic are
eastern Europe. In excel I added a new "region) variable (i.e 1 for
Western Europe, 2 for eastern Europe) and I re-ordered my data frame
according to this "region" variable.
I then imported this updated data frame in R, and checked how it
looked with the usual code;
pot_dat <-read.csv(file.choose(),header=TRUE, sep=";",dec=".")
pot_dat
Again, so far so good; my second column ("country") is now ordered
according to the values of the first column ("region").
Region
Country
2050B2
2050A2
2080B2
2080A2
1
Austria
-0.2
-0.6
...
1
Belgium
-0.2
-0.6
1
United Kingdom
-0.2
-0.6
2
Bulgaria
-0.5
-0.8
2
Czech republic
-0.5
-0.8
However, when I try to use the code as above, R automatically
re-order the x-axis (country) in alphabetical order. This was not
unexpected, but I have spent the day (unsuccessfully) looking for a
way to simply tell R not to do that and to keep the variable
"country" as it is now ordered in the data frame to construct the
x-axis of my plot. Is there any way to force it to keep the order as
it is in the data frame ?
Any help would be really welcomed !
Best,
Arnaud Blaser
PhD candidate
University of Neuchâtel
Institute of Economic Research (IRENE)
Pierre-à-Mazel 7
CH-2000 Neuchâtel
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______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
--------------
Arnaud Blaser
PhD candidate
University of Neuchâtel
Institute of Economic Research (IRENE)
Pierre-à-Mazel 7
CH-2000 Neuchâtel
______________________________________________
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.
