Hello,
I'm not the greatest expert in ggplto2 but you're overcomplicating (if
the word exists).
1. In a black&white plot don't use argument color nor
scale_color_manual().
2. your second plot object, p0, is completely unnecessary.
3. if you want it to look like the graph in the link, it's geom_point,
_not_ geom_smooth.
pb <- ggplot(dat, aes(x = a, y = b,
shape = char, linetype = factor(sex)))
pb + geom_point() + geom_line() + facet_grid(sex ~ .)
Note that what gives you the second plot is facet_grid(). Try reversing
the formula for a vertical orientation.
Hope this helps,
Rui Barradas
Em 22-10-2012 15:31, autumn escreveu:> Hello, I have the following sample dataset.
>
> sex <- as.factor(c(rep(0,12),rep(1,12)))
> char <-
>
c("x","x","x","x","y","y","y","y","z","z","z","z","x","x","x","x","y","y","y","y","z","z","z","z")
> a <- runif(24,0,2)
> b <- runif(24,4,10)
> data <- data.frame(cbind(sex,char,a,b))
>
> I would like to generate a blak and white plot with two groups of three
> smooth lines. linetypes are recognized by sex, and each line with dots,
> squares and triangles according to the group of char. the following is one
> group, i need to plot two, one type is solid, the other type is dotted. how
> to do it?
>
> I tried a color plot with the following code. what should i change
"color"
> to?
>
> pb <- ggplot(data, aes(x = a, y = b,
> color = char, linetype = factor(sex)))
>
> p0 <- pb +
> scale_color_manual(values = c("#00FFFF", "#FFFF00",
"#00FF00")) +
> scale_linetype_manual(breaks=c("0","1"),
values=c(1,2), labels = c("male",
> "female")) +
> geom_smooth(method = "lm",
> se = FALSE, # Don't add shaded confidence region
> size = 1.2, aes(group = char : sex))
> <http://r.789695.n4.nabble.com/file/n4647019/1.bmp>
> Thanks a looooot!
>
>
>
>
> --
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