plotting 3 variables on a single plot in ggplot2

Question

Hi have an experiment which consists of three variables, and I would like to plot them all on a single plot.

This is my df:

AB <- data.frame(block=c("A", "A", "A", "A", "B", "B", "B", "B" ),
  familiarity=c("fam", "fam", "unfam", "unfam" ),
  prime=c("P", "UP" ),
  RT=c("570.6929", "628.7446", "644.6268", "607.4312", "556.3581", "645.4821", "623.5624", "604.4113"))

Right now I can only break one of the variables into two separate plots, like this where A and B are the two levels of the third variable:

A <- AB[which(AB$block == "A"),]
B <- AB[which(AB$block == "B"),]

pa <- ggplot(data=A, aes(x=prime, y=RT, group=familiarity)) +
  geom_line(aes(linetype=familiarity), size=1) +
  expand_limits(y=c(500,650))

pb <- ggplot(data=B, aes(x=prime, y=RT, group=familiarity)) +
  geom_line(aes(linetype=familiarity), size=1) +
  expand_limits(y=c(500,650))

I would like to superimpose plot A over plot B, and have this third variables to be identified by color.

Any ideas?

Please provide a minimal reproducible example including sample data. — lukeA
– lukeA, Commented Nov 12, 2015 at 13:43
Many, but it's very hard to help you without seeing what your data looks like. Please provide a reproducible example. — Heroka
– Heroka, Commented Nov 12, 2015 at 13:43
Can't you just replace the values in third column by the colors and plot it in 2D. Again an example of your data would be great. — Ansjovis86
– Ansjovis86, Commented Nov 12, 2015 at 13:53
@stevezissou that makes solving things easier. Talking about solutions, are you aware that the rate at which you accept answers is very low, without any indications why the provided answers weren't appropriate. — Heroka
– Heroka, Commented Nov 12, 2015 at 14:14

Heroka · Accepted Answer · 2015-11-12 14:02:05Z

6

Is this what you mean?

p_all <- ggplot(AB, aes(x=prime,y=RT,group=interaction(familiarity,block))) +
  geom_line(aes(linetype=familiarity,color=block))

Data used:

AB <- structure(list(block = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 
2L), .Label = c("A", "B"), class = "factor"), familiarity = structure(c(1L, 
1L, 2L, 2L, 1L, 1L, 2L, 2L), class = "factor", .Label = c("fam", 
"unfam")), prime = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L
), class = "factor", .Label = c("P", "UP")), RT = c(570.6929, 
628.7446, 644.6268, 607.4312, 556.3581, 645.4821, 623.5624, 604.4113
)), .Names = c("block", "familiarity", "prime", "RT"), row.names = c(NA, 
-8L), class = "data.frame")

answered Nov 12, 2015 at 14:02

Heroka

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Comments

Volodymyr · Accepted Answer · 2015-11-12 13:53:23Z

0

IF you have different datasets for those variables, then you can specify the data

ggplot()+
  geom_line(data=A, aes(x=prime, y=RT, group=familiarity,linetype=familiarity), size=1) +
  geom_line(data=B, aes(x=prime, y=RT, group=familiarity,linetype=familiarity), size=1)+
  expand_limits(y=c(500,650))

answered Nov 12, 2015 at 13:53

Volodymyr

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1 Comment

pd441 Over a year ago

Thanks, but I need the two levels of the variable to be identified by color.

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