50 lines
1.3 KiB
R
50 lines
1.3 KiB
R
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pdf("dataframe-methods.pdf")
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library(lattice)
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mtcars <-
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within(mtcars,
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am <- factor(am, levels = c(0, 1),
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labels = c("automatic", "manual")))
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stripplot(mtcars, am ~ mpg)
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stripplot(mtcars, gear ~ mpg | am, jitter = TRUE, grid = TRUE)
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bwplot(mtcars, am ~ mpg)
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qq(mtcars, am ~ mpg)
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qqmath(mtcars, ~ mpg | am)
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histogram(mtcars, ~ mpg | am)
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densityplot(mtcars, ~ mpg | am)
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xyplot(mtcars, mpg ~ wt, groups = am)
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cloud(mtcars, mpg ~ wt * disp | am)
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splom(mtcars[3:7])
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parallelplot(mtcars[3:7])
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tmd(mtcars, mpg ~ wt)
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ct.tab <- as.data.frame.table(xtabs(~ cyl + am, mtcars))
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barchart(ct.tab, cyl ~ Freq, groups = am)
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dotplot(ct.tab, cyl ~ Freq, groups = am, auto.key = TRUE)
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dotplot(x = mtcars, data = gear ~ mpg, groups = am, auto.key = TRUE)
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dotplot(mtcars, formula = gear ~ mpg, col = 1)
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g <- expand.grid(a = seq(-1, 1, length.out = 101),
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b = seq(-1, 1, length.out = 101),
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KEEP.OUT.ATTRS = FALSE)
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g <- within(g, {
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z <- sinh(complex(real = 2 * pi* a, imaginary = 2 * pi * b))
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arg <- Arg(z)
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mod <- Mod(z)
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re <- Re(z)
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im <- Im(z)
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})
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levelplot(g, arg ~ a * b)
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contourplot(g, re ~ a * b)
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wireframe(g, im ~ a * b, shade = TRUE)
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## check for handling of missing argumnets
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dotplot(mtcars, , formula = gear ~ mpg, col = 1)
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dotplot(mtcars, formula = gear ~ mpg, , col = 1)
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