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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