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copied!<p>Try this for zoo classic graphics, zoo lattice graphics and zoo ggplot2 graphics:</p> <pre><code>library(zoo) z <- read.zoo(DT, split = 1, index = 2, FUN = identity) Names <- read.table(text = names(z), sep = ".", col.names = c("screen", "col")) plot(z, screen = Names$screen, col = Names$col) # also see note 3 below library(lattice) xyplot(z, screen = Names$screen, col = Names$col) # also see note 3 below library(ggplot2) # also see note 4 below m <- fortify(z, melt = TRUE) m2 <- transform(m, screen = sub("\\..*", "", Series), col = sub(".*\\.", "", Series)) qplot(Index, Value, data = m2, col = col, geom = "line") + facet_wrap(~ screen) </code></pre> <p><em>Notes</em> </p> <p>1) If we just wanted separate panels it would just be <code>plot(z)</code>, <code>xyplot(z)</code> and <code>autoplot(z)</code>.</p> <p>2) <code>names(z)</code> and <code>Names</code> are:</p> <pre><code>> names(z) [1] "V1.a" "V2.a" "V1.b" "V2.b" "V1.c" "V2.c" > Names screen col 1 V1 a 2 V2 a 3 V1 b 4 V2 b 5 V1 c 6 V2 c </code></pre> <p>3) We could have just hard coded it as this (in which case we would not need <code>Names</code>):</p> <pre><code>plot(z, screen = 1:2, col = c(1, 1, 2, 2, 3, 3)) xyplot(z, screen = 1:2, col = c(1, 1, 2, 2, 3, 3)) </code></pre> <p>4) Here is a ggplot2 alternative not involving <code>z</code>. It converts <code>DT</code> to long form with data.table package and then performs the <code>qplot</code>:</p> <pre><code>long <- DT[, list(Series = names(.SD), Value = unlist(.SD)), by = list(type, time)] qplot(time, Value, data = long, col = type, geom = "line") + facet_wrap(~ Series) </code></pre>

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