Dear all,
I would like to set the axis of a figure using the max() so to have
more control on the limits of the axis -- this because in the actual
case more independent figures are generated from the same dataframe
and these must have the same axis scale.
Since the figure is generated using lattice device, the syntax is too
complicated for me: when I place the xlim=c(0,Y) in the arguments —
where Y is obtained using max(data) — there is no result. In basic R
this argument would work virtually in any position.
Any tip?
Best regards
Luigi
####CODE
### open plot library
library(lattice)
my.data<-structure(list(
column_1 = 1:120,
column_2 = structure(c(
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,8), .Label = c("Unst.", "ESAT6", "CFP10", "Rv3615c",
"Rv2654", "Rv3879", "Rv3873", "PHA"), class = "factor"),
column_3 = structure(c(
0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,
1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,
0,0,0,0,0,0,0,0)),
column_4 = c(
192.0519108,183.6403531,53.46798757,83.60638077,69.60749873,159.4706861,256.8765622,499.2899303,
2170.799076,1411.349719,2759.472348,2098.973397,2164.739515,1288.676574,1611.486543,6205.229575,
870.7424981,465.9967135,191.8962375,864.0937485,2962.693675,1289.259137,2418.651212,7345.712517,
0,168.1198893,674.4342961,101.1575401,47.81596237,0,0,1420.793922,
142.6871331,5.466468742,291.9564635,80.73914133,73.02239621,64.47806871,144.3543635,3167.959757,
3164.748333,1092.634557,28733.20269,1207.87783,729.6090973,151.8706088,241.2466141,9600.963594,
1411.718287,12569.96285,1143.254476,6317.378481,16542.27718,79.68025792,1958.495138,7224.503437,
208.4382941,69.48609769,656.691151,0.499017582,7114.910926,187.6296174,41.73980805,8930.784541,
4.276752185,0.432300363,60.89228665,1.103924786,0.490686366,1.812993239,7.264531581,1518.610307,
2172.051528,595.8513744,17141.84336,589.6565971,1340.287628,117.350942,593.7034054,24043.61463,
0,81.83292179,1539.864321,36.41722958,8.385131047,161.7647376,65.21615696,7265.573875,
97.84753179,154.051827,0.613835842,10.06138851,45.04879285,176.8284258,18795.75462,30676.769,
5780.34957,944.2200834,2398.235596,1083.393165,2541.714557,1251.670895,1547.178549,1792.679176,
3067.988416,8117.210173,23676.02226,8251.937547,17360.80494,18563.61561,16941.865,31453.96708,
2767.493803,4796.33016,12292.93705,3864.657567,9380.673835,14886.44683,8457.88646,26050.47191)),
.Names = c("row", "stimulation", "positivity", "copy"), row.names =
c(NA, -120L),
class = "data.frame")
key.plot<-list(
space="top", columns=2,
text=list(c("Positive", "Negative"), col="black"),
points=list(pch=c(16,1), col="black"))
datmeA <- aggregate(copy ~ positivity+stimulation, my.data, median, na.rm = T)
X<-c(0.7, 1.3, 1.7, 2.3)
Y<-max(copy)
stripplot(
copy ~ factor(positivity)|factor(stimulation, levels = c("Unst.",
"ESAT6","CFP10","Rv3615c", "Rv2654","Rv3879", "Rv3873","PHA")),
my.data,
group = positivity,
hor=F,
layout = c(8,1),
scales = list(x = list(at = c(1,2), labels = c("N","P"))),
jitter.data=TRUE, pch=c(16,1), col="black",
ylab=expression(bold("Copy")),
xlab=expression(bold("Stimulation")),
main="Plot",
par.settings = list(strip.background=list(col="white")),
par.strip.text=list(font=2),
key = key.plot,
panel = function(x, y, ...)
{
pnl = panel.number()
k<-0
for (i in 1:2){
datme<-subset(datmeA, positivity==i-1)
w<-i+k
panel.segments(x0 = X[w], y0 = datme[datme[,2]==
levels(datme[,2])[pnl],"copy"],
x1 = X[w+1], y1 = datme[datme[,2]==
levels(datme[,2])[pnl],"copy"],lwd = 2, col = "black")
k=k+1
panel.stripplot(x,y, ...)
}
}
)
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