[R] XYPlot Conditioning Variable in Specific, Non-Alphanumeric Order.
Guy Jett
GJett at itsi.com
Fri Mar 18 21:13:26 CET 2011
# I need to create an xyplot() where I control the specific order of
# both my conditioning variables. The default code below plots the
# data correctly (dispersed across all 14 columns), but fails in two
# ways. Both the primary conditioning variable (Transect), and the
# secondary conditioning variable (Offset) are in alphanumeric order,
# rather than the specific order I need.
# Here is a call to the input datafile, which should be attached.
df <- read.csv(file = "T_5-04b_LTC-SE-SO-Compared.csv")
# Basic default plot (correct data, incorrect layout):
xyplot((sbd+sed)/2 ~ Result | Offset+Transect, groups = PARLABEL, as.table = TRUE,
data = df,
layout = c(14,4), type = "b")
# I attempted to control the order following the method described in
# the thread "[R] xyplot() - can you control how the plots are
# ordered?", but I appear to be missing, or misunderstanding
# something. The modeled code is here. It does put all the
# individual 'lattices'(?) in the needed order, BUT the graphics
# for the individual sets dump all the measurements into a single
# cell, on the diagonal, as if it's treating the conditioning
# variables as an [i,j] index. Again not what I want.
# Draft code (incorrect data, correct layout):
Transects <- c("LNF02", "LSF02", "LUR01", "LURT1", "LUR03",
"LUR05", "LUR09", "LUR11", "LUR12", "LUR15",
"LUR16", "LUR21", "LURT3", "LUR25", "LURT4",
"LUR28", "LUR36", "LUR38", "LUR46", "LURT5",
"LUR48", "LLR04", "LLR10", "LLR11", "LLRT1",
"LLR17", "LLRT2", "LLR18", "LLRT3", "LLR19")
Transects <- factor(Transects, levels = Transects)
Offsets <- c("T", "U", "V", "Y", "Z", "A", "B", "C", "D", "E", "F", "G", "H")
Offsets <- factor(Offsets, levels = Offsets)
xyplot((sbd+sed)/2 ~ Result | Offsets+Transects, groups = PARLABEL, as.table = TRUE,
data = df,
layout = c(13,5), type = "b")
# What I am looking for is a combination of the default plot, but ordered in
# the layout of the second code fragment.
# Baring my likely misunderstanding of the example cited above,
# there several comments in the help files that index.cond and/or
# param.cond could be 'easily' used. I have read the lattice help,
# the lattice pdf, and many items in the R site help files. The
# use of these features remains a complete mystery to me, but
# then, that doesn't surprise me at all.
# This should clean up anything created by the above scripts:
# Clean-up ----------------------------------------------------------------
rm(df, xLabel, yLabel, xlimit)
Thanks for all the help.
Cheers,
Guy Jett, R.G.
Project Geologist
gjett at itsi.com
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