Hi:
This is to add a couple of bells and whistles to the excellent replies of
David and Bill. You may not want the 0.5 increments in the x-axis ticks, and
if you want all groups in a single plot, then you may want a legend. Below
are some basic ways to specify these (to head off the obvious follow-up
questions :)
# (1) Individual panels per AREA:
xyplot(CASES ~ YEAR|AREA, data=df, type="b",
scales = list(x = list(at = c(1988, 1989, 1990))))
The scales = argument provides control over various aspects of the axes,
such as labels and tick marks. In this case, we want to limit the x-axis
ticks to occur at 1988, 1989 and 1990 only.
# (2) Single graph with multiple AREA profiles over time:
xyplot(CASES ~ YEAR, data = df, type = "b", groups = AREA,
scales = list(x = list(at = c(1988, 1989, 1990))),
auto.key = list(points = FALSE, lines = TRUE))
The auto.key = argument is used to produce a simple legend. By default, it
is listed on top of the plot; if, for example, you wanted it on the right
instead, you could add space = 'right' to the auto.key list.
There are **many** options in xyplot() and other Lattice graphics functions,
so you have the capability of fine tuning a graph to meet your
specifications.
HTH,
Dennis
On Tue, Jun 29, 2010 at 5:42 PM, Pablo Cerdeira <pablo.cerde...@gmail.com>wrote:
> Hi All,
>
> this is my first mail here.
>
> I'm trying to plot a multiline chart grouping values with no success. I
> have
> read a lot in the official Wiki and also searched via Google, but I did not
> find anything.
>
> I'm importing some data from a cvs file. Here is a sample:
>
> YEAR,AREA,CASES
> 1988,CONTRACTS,286
> 1988,INTERNATIONAL,189
> 1988,FAMILY,385
> 1988,TAXATION,177
> 1989,CONTRACTS,233
> 1989,INTERNATIONAL,431
> 1989,FAMILY,425
> 1989,TAXATION,201
> 1990,CONTRACTS,190
> 1990,INTERNATIONAL,302
> 1990,FAMILY,303
> 1990,TAXATION,209
> ...
>
> "t <- read.csv("file.csv", header=TRUE)"
>
> So far so good...
>
> But the problem is: I'd like to create a multiline plot, one line per AREA,
> showing the evolution of the number of CASES per YEAR.
>
> I know how to do it in Excel, using a Pivot Table. But I'm trying hard to
> do
> the same with R but I have no idea on how to do it.
>
> Can someone help me?
>
> Thanks in advanced
>
> --
> Pablo de Camargo Cerdeira
> pablo.cerde...@gmail.com
> +55 (21) 3799-6065
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> 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.
>
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