How to drop unused factors in faceted R ggplot boxplot?
Your example is not reproducible. [1]
Usually we use subset() or vector/array indexing when we want to work with part of the data. Apparently you want to exclude rows that specify "north" for which the year does not have a corresponding row with the same year and specifies "south".
southidxs <- with( test, "south" == site )
southyears <- unique( test$year[southidxs] )
subset( test, !("north"==site & !year %in% southyears ))
(untested)
[1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
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Sent from my phone. Please excuse my brevity.
Niec <ggorczynski at golder.com> wrote:
Below is the data sample(example) that I use to make boxplots. I tried
everything I could think of but cannot make a plot where for the south
site
only years existing in data for this site show. Is what I am trying to
do
possible? Thank you. Here is my code:
ggplot(stest, aes(x=year, y=conc)) +
geom_boxplot(horizontal=TRUE) +
facet_wrap(~site , ncol=1) +coord_flip() + scale_y_log10()
site year conc
south 2001 5.3
south 2001 4.67
south 2001 4.98
south 2002 5.76
south 2002 5.93
north 2001 4.64
north 2001 6.32
north 2003 11.5
north 2003 6.3
north 2004 9.6
north 2004 56.11
north 2004 63.55
north 2004 61.35
north 2005 67.11
north 2006 39.17
north 2006 43.51
north 2006 76.21
north 2006 158.89
north 2006 122.27
<http://r.789695.n4.nabble.com/file/n4656480/2013-01-23_2130.png>
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