Jim's points are well taken. I wonder if you might get greater
efficiency by examining the opportunities in the lattice or ggplot2
packages that allow specification of grouping variables. It might get
tedious creating all those micro-data.frames and might not really be
necessary.
From the first example on the xyplots help page:
library(lattice)
Depth <- equal.count(quakes$depth, number=8, overlap=.1) # Depth is
used for grouping
xyplot(lat ~ long | Depth, data = quakes)
update(trellis.last.object(),
strip = strip.custom(strip.names = TRUE, strip.levels = TRUE),
par.strip.text = list(cex = 0.75),
aspect = "iso")
--
David Winsemius
On Apr 9, 2009, at 9:32 PM, jim holtman wrote:
I am not sure what you are trying to assign a value to '200706183<-';
does not look like a valid object name. This should work:
x200706183<-subset(AllData, ID == 200706183)
Notice the use of the '==' for the logical compare.
On Thu, Apr 9, 2009 at 8:58 PM, Paul Warren Simonin
<paul.simo...@uvm.edu> wrote:
Hello,
I have a question regarding how to subset/select parts of a data
frame
(matrix) in order to plot data associated only with this subset.
Specifically I have a large data frame in which one column contains
ID
values (dates), and other columns contain data I would like to plot
(temperature, light, etc.). I would like to break up this large
matrix so as
to plot data associated with specific ID values (dates) separately.
I have
learned of several commands that supposedly subset matrices in this
manner
and have tried the following code with no success:
200706183<-subset(AllData, ID = 200706183)
200706183<-gx.subset(AllData, ID == 200706183)
200706183<-subset(x=AllData, AllData$ID = 200706183)
200706183<-gx.subset(x=AllData, AllData$ID == 200706183)
In using this code my plan was to create smaller data frame objects
which I
could then plot. My first question, though, is whether this is the
correct
approach. Is there a more efficient way I can create plots
conditional on
certain criteria such as "code = 200706183" ?
If I do need to first create separate smaller data frames, how do
I go
about doing this? Am I missing something in the above commands?
Any other advice is certainly welcome too, as I admit to being a
bit new to
R. Thank you very much for any answers, tips, suggestions, etc.!
Best wishes,
Paul Simonin
--
Paul W. Simonin
Graduate Research Assistant, MS Program
Vermont Cooperative Fish and Wildlife Research Unit
The Rubenstein School of Environment and Natural Resources
University of Vermont
81 Carrigan Dr.
Burlington, VT 05405
Ph:802-656-3153
______________________________________________
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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.
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem that you are trying to solve?
______________________________________________
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.
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
______________________________________________
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.
