d <- structure(list(Site = structure(c(8L, 12L, 7L, 6L, 11L, 5L, 10L,
4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L,
1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L, 1L, 9L, 8L,
12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L,
11L, 5L, 10L, 4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L,
4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L,
1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L, 1L, 9L, 8L,
12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L,
11L, 5L, 10L, 4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L,
4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L,
1L, 9L), .Label = c("119", "148", "179",
"185", "190", "198",
"202", "215", "61", "BC",
"HC", "SC"), class = "factor"), EPT.Taxa = c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, 1L, NA, 3L, 1L, 5L, 7L, 3L, 11L, 3L, 14L, 12L, 12L,
0L, 0L, 4L, 0L, 5L, 3L, 2L, 6L, 1L, 8L, 6L, 9L, 1L, 0L, 2L, 0L,
5L, 2L, 1L, 0L, 2L, 4L, 6L, 8L, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 2L, 4L, 3L, 2L, 7L, 6L, 4L, 8L, 7L, 11L, 8L,
11L, 1L, 3L, 0L, 2L, 7L, 8L, 2L, 7L, 6L, 11L, 6L, 12L, 1L, 1L,
0L, 0L, 0L, 1L, 2L, 9L, 6L, 16L, 6L, 10L, 2L, 3L, 3L, 2L, 5L,
2L, 0L, 3L, 6L, 10L, NA, 10L, 1L, 0L, 3L, 1L, 4L, 2L, 3L, 2L,
3L, 11L, 10L, 6L)), .Names = c("Site", "EPT.Taxa"), class
"data.frame", row.names = c(NA,
-144L))
subset(d, Site==215)
#I would like to plot(density()) of each of the Sites
#I tried
list<-levels(d$Site)
lapply(d, FUN=subset, Site==list)
#I would like to be able to make a list of the subsets based on Site
and then plot them all on one graphics window
# Am I working in the right direction- I have just discovered lists (I
know I know, I am a little slow)
--
Stephen Sefick
Research Scientist
Southeastern Natural Sciences Academy
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.
-K. Mullis
ONKELINX, Thierry
2008-Aug-26 14:20 UTC
[R] processing subset lists and then plot(density())
Here's a solution with ggplot2
library(ggplot2)
ggplot(na.omit(d), aes(x = EPT.Taxa, colour = Site)) + geom_density()
ggplot(na.omit(d), aes(x = EPT.Taxa)) + geom_density() + facet_grid(Site
~ .)
HTH,
Thierry
------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
Thierry.Onkelinx op inbo.be
www.inbo.be
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data.
~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey
-----Oorspronkelijk bericht-----
Van: r-help-bounces op r-project.org [mailto:r-help-bounces op r-project.org]
Namens stephen sefick
Verzonden: dinsdag 26 augustus 2008 15:51
Aan: R Help
Onderwerp: [R] processing subset lists and then plot(density())
d <- structure(list(Site = structure(c(8L, 12L, 7L, 6L, 11L, 5L, 10L,
4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L,
1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L, 1L, 9L, 8L,
12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L,
11L, 5L, 10L, 4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L,
4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L,
1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L, 1L, 9L, 8L,
12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L,
11L, 5L, 10L, 4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L,
4L, 3L, 2L, 1L, 9L, 8L, 12L, 7L, 6L, 11L, 5L, 10L, 4L, 3L, 2L,
1L, 9L), .Label = c("119", "148", "179",
"185", "190", "198",
"202", "215", "61", "BC",
"HC", "SC"), class = "factor"), EPT.Taxa c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, 1L, NA, 3L, 1L, 5L, 7L, 3L, 11L, 3L, 14L, 12L, 12L,
0L, 0L, 4L, 0L, 5L, 3L, 2L, 6L, 1L, 8L, 6L, 9L, 1L, 0L, 2L, 0L,
5L, 2L, 1L, 0L, 2L, 4L, 6L, 8L, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 2L, 4L, 3L, 2L, 7L, 6L, 4L, 8L, 7L, 11L, 8L,
11L, 1L, 3L, 0L, 2L, 7L, 8L, 2L, 7L, 6L, 11L, 6L, 12L, 1L, 1L,
0L, 0L, 0L, 1L, 2L, 9L, 6L, 16L, 6L, 10L, 2L, 3L, 3L, 2L, 5L,
2L, 0L, 3L, 6L, 10L, NA, 10L, 1L, 0L, 3L, 1L, 4L, 2L, 3L, 2L,
3L, 11L, 10L, 6L)), .Names = c("Site", "EPT.Taxa"), class
"data.frame", row.names = c(NA,
-144L))
subset(d, Site==215)
#I would like to plot(density()) of each of the Sites
#I tried
list<-levels(d$Site)
lapply(d, FUN=subset, Site==list)
#I would like to be able to make a list of the subsets based on Site
and then plot them all on one graphics window
# Am I working in the right direction- I have just discovered lists (I
know I know, I am a little slow)
--
Stephen Sefick
Research Scientist
Southeastern Natural Sciences Academy
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.
-K. Mullis
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