https://github.com/cran/lattice
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Tip revision: c2514b8d0b4857ea4f44f170d71e7be5a82bc645 authored by Deepayan Sarkar on 21 September 2006, 00:00:00 UTC
version 0.14-6
Tip revision: c2514b8
lattice.R

require(grid)
old.prompt <- grid.prompt(TRUE)


## store current settings, to be restored later

old.settings <- trellis.par.get()

## changing settings to new 'theme'
trellis.par.set(theme = col.whitebg())

## simulated example, histogram and kernel density estimate superposed
x <- rnorm(500)
densityplot(~x)
histogram(x, type = "density", 
          panel = function(x, ...) {
              panel.histogram(x, ...) 
              panel.densityplot(x, col = "brown", plot.points = FALSE)
          })

## Using a custom panel function to superpose a fitted normal density
## on a Kernel Density Estimate

densityplot( ~ height | voice.part, data = singer, layout = c(2, 4),  
            xlab = "Height (inches)",
            ylab = "Kernel Density\n with Normal Fit",
            main = list("Estimated Density", cex = 1.4, col = "DarkOliveGreen"),
            panel = function(x, ...) {
                panel.densityplot(x, ...)
                panel.mathdensity(dmath = dnorm,
                                  args = list(mean=mean(x),sd=sd(x)))
            } )

## user defined panel functions and fonts

states <- data.frame(state.x77,
                     state.name = dimnames(state.x77)[[1]], 
                     state.region = factor(state.region)) 

xyplot(Murder ~ Population | state.region, data = states, 
       groups = state.name,
       panel = function(x, y, subscripts, groups)  
       ltext(x = x, y = y, label = groups[subscripts],
             cex=.9, fontfamily = "HersheySans", fontface = "italic"),
       par.strip.text = list(cex = 1.3, font = 4, col = "brown"),
       xlab = list("Estimated Population, July 1, 1975", font = 2),
       ylab = list("Murder Rate (per 100,000 population), 1976", font = 2),
       main = list("Murder Rates in US states", col = "brown", font = 4))

##graphical parameters for xlab etc can also be changed permanently
trellis.par.set(list(par.xlab.text = list(font = 2),
                     par.ylab.text = list(font = 2),
                     par.main.text = list(font = 4, col = "brown")))

## Same with some multiple line text
levels(states$state.region) <-
    c("Northeast", "South", "North\n Central",  "West")
xyplot(Murder  ~ Population | state.region, data = states,
       groups = as.character(state.name),
       panel = function(x, y, subscripts, groups)
       ltext(x = x, y = y, label = groups[subscripts], srt = -50, col = "blue",
             cex=.9, fontfamily = "HersheySans"),
       par.strip.text = list(cex = 1.3, font = 4, col = "brown", lines = 2),
       xlab = "Estimated Population\nJuly 1, 1975", 
       ylab = "Murder Rate \n(per 100,000 population)\n 1976", 
       main = "Murder Rates in US states")

##setting these back to their defaults
trellis.par.set(list(par.xlab.text = list(font = 1),
                     par.ylab.text = list(font = 1),
                     par.main.text = list(font = 2, col = "black")))


##levelplot

levelplot(volcano, colorkey = list(space = "top"),
          sub = "Maunga Whau volcano", aspect = "iso")

## wireframe
wireframe(volcano, shade = TRUE,
          aspect = c(61/87, 0.4),
          screen = list(z = -120, x = -45),
          light.source = c(0,0,10), distance = .2,
          shade.colors = function(irr, ref, height, w = .5)
          grey(w * irr + (1 - w) * (1 - (1-ref)^.4)))

## 3-D surface parametrized on a 2-D grid

n <- 50
tx <- matrix(seq(-pi, pi, len = 2*n), 2*n, n)
ty <- matrix(seq(-pi, pi, len = n) / 2, 2*n, n, byrow = T)
xx <- cos(tx) * cos(ty)
yy <- sin(tx) * cos(ty)
zz <- sin(ty)

zzz <- zz
zzz[,1:12 * 4] <- NA
wireframe(zzz ~ xx * yy, shade = TRUE, light.source = c(3,3,3))



## Example with panel.superpose. 

xyplot(Petal.Length~Petal.Width, data = iris, groups=Species, 
       panel = panel.superpose,
       type = c("p", "smooth"), span=.75,
       col.line = trellis.par.get("strip.background")$col,
       col.symbol = trellis.par.get("strip.shingle")$col,
       key = list(title = "Iris Data", x = .15, y=.85, corner = c(0,1),
           border = TRUE, 
           points = list(col=trellis.par.get("strip.shingle")$col[1:3],
           pch = trellis.par.get("superpose.symbol")$pch[1:3],
           cex = trellis.par.get("superpose.symbol")$cex[1:3]
           ),
           text = list(levels(iris$Species))))

## Demo of expressions

x <- rnorm(400)
y <- rnorm(400)
a <- gl(4, 100)

xyplot(y~x | a, aspect = "fill",
       strip = function(factor.levels, strip.names, var.name, ...) {
           strip.default(factor.levels = expression(alpha, beta, gamma, delta),
                         strip.names = TRUE,
                         var.name = expression(frac(epsilon, 2)),
                         ...) },
       par.strip.text = list(lines = 2),
       xlab=list(expression(sigma[i]), cex = 2),
       ylab=expression(gamma^2),
       main=expression(pi*sum(x, i=0, n)),
       scales=
       list(relation = "free", 
            x=list(at=c(-2, 0, 2), labels=expression(frac(-pi, 2), 0, frac(pi, 2))),
            y=list(at=c(-2, 0, 2), labels=expression(alpha, beta, gamma))),
       key = list(space="right", transparent = TRUE,
       title = expression(e[i[1]]^{alpha + 2 ^ beta}),
       cex.title = 2,
       points=list(pch=1:2),
       text = list(c('small', 'BIG'), cex = c(.8, 3)),
       lines = list(lty = 1:2),
       text=list(expression(theta, zeta))),
       sub=expression(frac(demonstrating, expressions)))




## grob's as xlab, ylab 

qq(gl(2, 100) ~ c(runif(100, min = -2, max = 2), rnorm(100)),
   xlab =
   textGrob(rep("Uniform", 2), 
            x = unit(.5, "npc") + unit(c(.5, 0), "mm"),
            y = unit(.5, "npc") + unit(c(0, .5), "mm"),
            gp = gpar(col = c("black", "red"), cex = 3)),
   ylab =
   textGrob(rep("Normal", 2), rot = 90,
            x = unit(.5, "npc") + unit(c(.5, 0), "mm"),
            y = unit(.5, "npc") + unit(c(0, .5), "mm"),
            gp = gpar(col = c("black", "red"), cex = 3)),
   main = "Q-Q plot")


## non-trivial strip function

barchart(variety ~ yield | year * site, barley,
         layout = c(4, 3),
         between = list(x = c(0, 0.5, 0)),
         strip =
         function(which.given,
                  which.panel,
                  factor.levels,
                  bg = trellis.par.get("strip.background")$col[which.given],
                  ...) {
             axis.line <- trellis.par.get("axis.line")
             if (which.given == 1)
             {
                 grid.rect(x = .26, just = "right",
                           gp = gpar(fill = bg, col = "transparent"))
                 ltext(factor.levels[which.panel[which.given]],
                       x = .24, y = .5, adj = 1)
             }
             if (which.given == 2)
             {
                 grid.rect(x = .26, just = "left",
                           gp = gpar(fill = bg, col = "transparent"))
                 ltext(factor.levels[which.panel[which.given]],
                       x = .28, y = .5, adj = 0)
             }
             grid.rect(gp =
                       gpar(col = axis.line$col,
                            lty = axis.line$lty,
                            lwd = axis.line$lwd,
                            alpha = axis.line$alpha,
                            fill = "transparent"))
         }, par.strip.text = list(lines = 0.4))


trellis.par.set(theme = old.settings)

grid.prompt(old.prompt)


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