[R] Lattice: reversing order of panel placement in conditional histograms
Sam Ferguson
samferguson at ihug.com.au
Sat Jul 23 06:22:02 CEST 2005
Hi R-people,
I have a question about lattice in general, and histogram specfically. How do you control the ordering of factors that controls the placement of the conditional panels. I have a dataset with factors that go 'Q1','Q2',"Q3','Q5' and of course I want the plot to place Question Q1 at the top and Question Q5 at the bottom of the graphical output. histogram() does the opposite as 5 is larger than 1. Similarly my 'AlertFormat' factor is a textual category, and I need the data to read from left to right (representing old to new) , with 'New A & V' on the right, and 'Pre-existing A & V' on the left, which is the opposite to how histogram plots.
The current lattice output from what's below is here:- http://www.arch.usyd.edu.au/~sfer9710/latticeoutput.pdf
All I really want to do is reverse the placement entirely from what I have received above.
I've checked the help to no avail, and have looked through the r-help archive. I love lattice, but always have problems of this nature. I hope someone can help me solve them.
Thanks heaps
-- Sam
> version
_
platform powerpc-apple-darwin7.9.0
arch powerpc
os darwin7.9.0
system powerpc, darwin7.9.0
status Patched
major 2
minor 1.0
year 2005
month 05
day 12
language R
> aaRatings
Question X.Alert.Format. Response
1 Q1 New A & V 3
2 Q1 New A & V 3
3 Q1 New A & V 3
4 Q1 New A & V 3
5 Q1 New A, Pre-existing V 3
6 Q1 New A, Pre-existing V 3
7 Q1 New A, Pre-existing V 2
8 Q1 New A, Pre-existing V 2
9 Q1 New V, Pre-existing A 3
10 Q1 New V, Pre-existing A 2
11 Q1 New V, Pre-existing A 2
12 Q1 New V, Pre-existing A 2
13 Q1 Pre-existing A & V 1
14 Q1 Pre-existing A & V -2
15 Q1 Pre-existing A & V -2
16 Q1 Pre-existing A & V -2
17 Q2 New A & V 3
18 Q2 New A & V 3
19 Q2 New A & V 3
20 Q2 New A & V 3
21 Q2 New A, Pre-existing V 3
22 Q2 New A, Pre-existing V 2
23 Q2 New A, Pre-existing V 2
24 Q2 New A, Pre-existing V 1
25 Q2 New V, Pre-existing A 3
26 Q2 New V, Pre-existing A 2
27 Q2 New V, Pre-existing A 2
28 Q2 New V, Pre-existing A 2
29 Q2 Pre-existing A & V 1
30 Q2 Pre-existing A & V -2
31 Q2 Pre-existing A & V -2
32 Q2 Pre-existing A & V -2
33 Q3 New A & V 3
34 Q3 New A & V 3
35 Q3 New A & V 3
36 Q3 New A & V 3
37 Q3 New A, Pre-existing V 3
38 Q3 New A, Pre-existing V 3
39 Q3 New A, Pre-existing V 3
40 Q3 New A, Pre-existing V 2
41 Q3 New V, Pre-existing A 3
42 Q3 New V, Pre-existing A 3
43 Q3 New V, Pre-existing A 3
44 Q3 New V, Pre-existing A 2
45 Q3 Pre-existing A & V 2
46 Q3 Pre-existing A & V 1
47 Q3 Pre-existing A & V -2
48 Q3 Pre-existing A & V -3
49 Q5 New A & V 3
50 Q5 New A & V 3
51 Q5 New A & V 3
52 Q5 New A & V 3
53 Q5 New A, Pre-existing V 3
54 Q5 New A, Pre-existing V 3
55 Q5 New A, Pre-existing V 1
56 Q5 New A, Pre-existing V 1
57 Q5 New V, Pre-existing A 3
58 Q5 New V, Pre-existing A 2
59 Q5 New V, Pre-existing A 2
60 Q5 New V, Pre-existing A 2
61 Q5 Pre-existing A & V 1
62 Q5 Pre-existing A & V -1
63 Q5 Pre-existing A & V -1
64 Q5 Pre-existing A & V -3
> attach(aaRatings)
> histogram(Response|X.Alert.Format.+Question,type="count",nint=8)
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