I have a data like this
data<- structure(list(sample = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("A",
"B"), class = "factor"), y = c(0.99999652, 0.99626012, 0.94070452,
0.37332406, 0.57810894, 0.37673758, 0.22784684, 0.35358141, 0.21253558,
0.17715703, 0.99999652, 0.86403956, 0.64054516, 0.18448824, 0.40362691,
0.10791682, 0.06985696, 0.07384465, 0.0433271, 0.02875159), time = c(100L,
150L, 170L, 180L, 190L, 220L, 260L, 270L, 300L, 375L, 100L, 150L,
170L, 180L, 190L, 220L, 260L, 270L, 300L, 375L), x = c(0.9999965,
0.9981008, 0.9940164, 1.0842966, 0.9412978, 1.0627907, 0.9135079,
1.1982235, 0.9194105, 0.9361713, 0.9999965, 1.0494051, 0.9526752,
1.1594711, 0.9827104, 1.0223711, 1.1419197, 1.0328598, 0.6015229,
0.3745817)), .Names = c("sample", "y", "time", "x"), class = "data.frame", row.names = c(NA,
-20L))
I am interested in plotting it with a costumed color like black and red
I can plot it with two random different color like this but the problem is that
ggplot() +
geom_point(data = data, aes(x = time, y = y, color = sample),size=4)
if I want to assign the first one (A) to black and the (B) to red. how can I do that?
Change colors manually A custom color palettes can be specified using the functions : scale_fill_manual() for box plot, bar plot, violin plot, etc. scale_color_manual() for lines and points.
To color the points in a scatterplot using ggplot2, we can use colour argument inside geom_point with aes. The color can be passed in multiple ways, one such way is to name the particular color and the other way is to giving a range or using a variable.
The function geom_point() adds a layer of points to your plot, which creates a scatterplot. ggplot2 comes with many geom functions that each add a different type of layer to a plot.
You could use scale_color_manual
:
ggplot() +
geom_point(data = data, aes(x = time, y = y, color = sample),size=4) +
scale_color_manual(values = c("A" = "black", "B" = "red"))
Per OP's comment, to get lines with the same color as the points you could do:
ggplot(data = data, aes(x = time, y = y, color = sample)) +
geom_point(size=4) +
geom_line(aes(group = sample)) +
scale_color_manual(values = c("A" = "black", "B" = "red"))
I would do it like this (you can also use hexidecimal colors instead of red, black)
data <- data %>%
mutate(Color = ifelse(sample == "A", "black",
ifelse(sample == "B", "red", "none")))
ggplot() +
geom_point(data = data, aes(x = time, y = y, color = Color),size=4)+
scale_color_identity()
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