coplot in R - how to tell which plot is which

loess, plot, r

Solution

Apparently it is left to right and bottom to top, which means it is much easier to read if you set `rows=1` :

# determine how many levels in var3
num <- length(unique(dtb$var3))

# plot in one row using all levels of var3
coplot(var1 ~ var2 | var3, data=dtb, 
number=num, 
overlap=.1, 
col=rainbow(num), 
type="o",           # plot symbols and lines
cex=2,              # make symbols larger
pch=as.character(c(seq(from=1,to=(num-1)),"T")), # use chars as symbols
rows=1)                                          # as.character not required 
                                                 # due to "T"

# plot in two rows
coplot(var1 ~ var2 | var3, data=dtb, 
number=num, 
overlap=.1, 
col=rainbow(num), 
type="o",           # plot symbols and lines
cex=2,              # make symbols larger
pch=as.character(c(seq(from=1,to=(num-1)),"T")), # use chars as symbols
rows=2)                                          # as.character not required 
                                                 # due to "T"

Problem

I am using `coplot` in R to plot some conditioning plots: ``` coplot(var1 ~ var2 | var3, data=dtb, number=5, overlap=.1, panel=function(x,y, col, pch) {idx = order(x); lines(x[idx], predict(loess(y ~ x))[idx], pch = pch, col = col)}) ``` How can one tell which plot corresponds to which "bucket" of the conditioning variable, in this case `var3`? ``` > dput(dtb) structure(list(var1 = 1:50, var2 = c(50L, 49L, 48L, 47L, 46L, 45L, 44L, 43L, 42L, 41L, 40L, 39L, 38L, 37L, 36L, 35L, 34L, 33L, 32L, 31L, 30L, 29L, 28L, 27L, 26L, 25L, 24L, 23L, 22L, 21L, 20L, 19L, 18L, 17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L), var3 = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L)), .Names = c("var1", "var2", "var3"), row.names = c(NA, -50L), class = "data.frame") ```

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