Hi, I am learning xyplot. I have an example dataset attached.
plotdata<-read.table("plotdata.txt",sep='\t',header=T,row.names=1)
head(plotdata,n=4)
y x type
1 -4.309601 -0.7448405 A
2 -4.715421 0.7875994 A
3 -2.310638 0.5455310 A
4 -2.685803 10.4116868 A
xyplot(y~x,groups=type,plotdata, auto.key=T)
This shows different colors for different levels of "type".
Now, I want to add a fitted line to the plot, the formula is
-1.324+0.1117*x-0.0006357*x*x
I tried the following code to do this:
xyplot(y~x,groups=type,plotdata, auto.key=T
, panel = function(x,y) {
panel.xyplot(x,y, type='p')
x<-sort(x)
panel.lines(x,-1.324+0.1117*x-0.0006357*x*x)
})
Now, it doesn't show different colors for different levels of "type". How can I
restore that?
Also, is there anyway to put the legend at bottom of the plot (instead at the
top right now)? And is there anyway to print legend horizontally, instead of
vertically as shown right now?
Thanks
John
y x type
1 -4.30960132841301 -0.744840518760792 A
2 -4.71542109959628 0.787599395527709 A
3 -2.31063823031730 0.545530976094587 A
4 -2.68580284811662 10.4116867886136 A
5 0.857277739439742 45.8678415780720 A
6 2.45727135537005 84.8497464051184 A
7 2.13169532824448 103.133586922502 A
8 1.28410512992259 105.748839904875 A
9 -1.03955702898241 -0.899013850822378 A
10 0.829280624483265 2.98715094752831 A
11 -0.50214940111739 1.72294341018182 A
12 3.11786294644213 20.4231486028650 A
13 3.34246850536472 69.3541875183234 A
14 2.70345650675251 111.307639403626 A
15 4.00616663408449 124.004258887019 A
16 5.1806910416212 128.613638097411 A
17 -6.26534533776664 -0.944438526313875 A
18 -3.78598472716979 2.03694726901381 A
19 -4.2138305943426 2.33837780519899 A
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21 4.58402791158291 67.5861096660383 A
22 2.05571359621679 107.949510371836 A
23 4.05242444227599 112.126993688471 A
24 4.34316209268166 116.153400981747 A
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27 -3.01995286978557 -1.10752325011792 A
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29 1.24401144964837 45.3160993898581 A
30 4.03535823827577 87.1430284366417 A
31 1.29543626134492 105.003743707372 A
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39 1.91384920016281 112.592562878277 A
40 2.06188667920977 117.376424285145 A
41 -3.05678162571978 -0.483215996703479 A
42 -0.184239995971267 1.23596224758922 A
43 -1.42855399915072 0.248774451716021 A
44 1.49844000607205 17.8847352593804 A
45 2.53542586823079 60.0336036447702 A
46 2.95329003854665 102.482588510080 A
47 5.0685809676014 110.619630044398 A
48 4.06642471090290 120.486184775892 A
49 -0.503130553392357 0.702688068466441 A
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51 -0.17788663078253 3.11150418059122 A
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53 2.19389338149745 57.8826565905442 A
54 3.92589157640871 98.2558014383485 A
55 2.53121102711589 108.302821306135 A
56 2.34432932634521 111.053272678522 A
97 -3.42191838986702 -0.885224809610779 A
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102 3.39213524465907 93.1009307560951 A
103 4.29568471688144 99.8712158796281 A
104 4.84074935161124 100.052602454596 A
121 -1.68332987752984 0.227299766484946 A
122 0.468472823690819 1.87223738102554 A
123 -0.547570024002551 4.37927291184889 A
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125 1.95018272395341 78.8401126239697 A
126 3.04490590673202 102.303293809834 A
127 3.61065504963216 113.874480526457 A
128 0.481402373966058 120.377904609485 A
145 -4.37211935419606 -0.698310292505367 B
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151 0.0401498831148303 92.9288452260117 B
152 1.22219027271765 95.7760860317234 B
153 -1.08915964467645 -0.643369049685396 B
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155 -3.18197896014828 -0.0468551551055109 B
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157 -1.24206189120823 44.1847030925186 B
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271 3.12144802620762 107.653150357264 B
272 1.80531398514175 117.711553728577 B
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