Hi,
# For publications, I am not allowed to repeat the axes. I have tried to
remove the axes using:
# yaxt="n", but it did not work. I have not understood how to do this in
ggplot2. Can you help me?
# I also do not want loads of space between the graphs (see below script
with Dummy Data).
# If I could make it look like the examples on the (nice) examples page:
# http://www.ling.upenn.edu/~joseff/rstudy/summer2010_ggplot2_intro.html
# using the facet_grid(), I would be very very happy.
# I also do not want the gemoetric points to be filled and the fill="white"
commande
# does not seem to work - why? and are there alternatives?
#Furthermore, I would like to add legends to inside the plot area instead of
on the side. Like when you use plotrix() and brkdn.plot:
legend("topright", c("A", "B"), pch=c(0,1), bg="white",
lty = 1:2, cex=1, bty="n")
# This did not work in ggplot2. What are my alternatives. I have extensively
searched the internet and have I missed something obvious, it was due to
# tiredness and not to lazyness.
# Some dummy data:
mydata<- data.frame(factor1 = factor(rep(LETTERS[1:6], each = 80)),
factor2 = factor(rep(c(1:5), each = 16)),
factor3 = factor(rep(c(1:4), each = 4)),
var1 = rnorm(120, mean = rep(c(0, 3, 5), each = 40),
sd = rep(c(1, 2, 3), each = 20)),
var2 = rnorm(120, mean = rep(c(6, 7, 8), each = 40),
sd = rep(c(1, 2, 3), each = 20)))
# Splitting data into 3 data frames (based on factor1)
# If I could do this using for example facet_wrap() or facet_grid(), I would
be very
# happy! I have tried but failed that method.
DataAB <- mydata[(mydata$factor1) %in% c("A", "B"), ]
DataCD <- mydata[(mydata$factor1) %in% c("C", "D"), ]
DataEF <- mydata[(mydata$factor1) %in% c("E", "F"), ]
DataAB
library(plyr)
library(ggplot2)
#Plot: levels A and B:
# Summary (means etc)
SummAB <- ddply(DataAB, .(factor3,factor1), summarize,
mean = mean(var1, na.rm = FALSE),
sdv = sd(var1, na.rm = FALSE),
se = 1.96*(sd(var1, na.rm=FALSE)/sqrt(length(var1))))
SummAB
p1 <- ggplot(SummAB, aes(factor3, mean,
colour = factor1, group = factor1,
shape = factor1)) +
geom_point(aes(shape=factor(factor1)), color="black", fill="white",
position = "dodge", width = 0.3, size=3) +
geom_line(aes(linetype=factor1), color = "black", size = 0.5) +
geom_errorbar(aes(ymin = mean - sdv , ymax = mean + sdv), width = 0.3,
position = "dodge", color = "black", size=0.3) +
theme_bw() +
ylab(expression(paste("my measured stuff"))) +
xlab("factor3") + ggtitle("") +
labs(color = "factor1", shape = "factor1", group = "factor1",
linetype = "factor1")
p1
#Plot: levels C and D:
# Summary (means etc)
SummCD <- ddply(DataCD, .(factor3,factor1), summarize,
mean = mean(var1, na.rm = FALSE),
sdv = sd(var1, na.rm = FALSE),
se = 1.96*(sd(var1, na.rm=FALSE)/sqrt(length(var1))))
p2 <- ggplot(SummCD, aes(factor3, mean,
colour = factor1, group = factor1,
shape = factor1)) +
geom_point(aes(shape=factor(factor1)), color="black", fill="white",
position = "dodge", width = 0.3, size=3) +
geom_line(aes(linetype=factor1), color = "black", size = 0.5) +
geom_errorbar(aes(ymin = mean - sdv , ymax = mean + sdv), width = 0.3,
position = "dodge", color = "black", size=0.3) +
theme_bw() +
ylab(expression(paste("my measured stuff"))) +
xlab("factor3") + ggtitle("") +
labs(color = "factor1", shape = "factor1", group = "factor1",
linetype = "factor1")
p2
#Plot: levels C and D:
# Summary (means etc)
SummEF <- ddply(DataEF, .(factor3,factor1), summarize,
mean = mean(var1, na.rm = FALSE),
sdv = sd(var1, na.rm = FALSE),
se = 1.96*(sd(var1, na.rm=FALSE)/sqrt(length(var1))))
p3 <- ggplot(SummEF, aes(factor3, mean,
colour = factor1, group = factor1,
shape = factor1)) +
geom_point(aes(shape=factor(factor1)), color="black", fill="white", #Why
is the fill commando not working?
position = "dodge", width = 0.3, size=3) +
geom_line(aes(linetype=factor1), color = "black", size = 0.5) +
geom_errorbar(aes(ymin = mean - sdv , ymax = mean + sdv), width = 0.3,
position = "dodge", color = "black", size=0.3) +
theme_bw() +
ylab(expression(paste("my measured stuff"))) +
xlab("factor3") + ggtitle("") +
labs(color = "factor1", shape = "factor1", group = "factor1",
linetype = "factor1")
p3
ary(gridExtra)
sidebysideplot <- grid.arrange(p1, p2, p3, ncol=2)
Anna Zakrisson Braeunlich
PhD student
Department of Ecology Environment and Plant Sciences
Stockholm University
Svante Arrheniusv. 21A
SE-106 91 Stockholm
Sweden
Lives in Berlin.
For paper mail:
Katzbachstr. 21
D-10965, Berlin - Kreuzberg
Germany/Deutschland
E-mail: anna.zakris...@su.se
Tel work: +49-(0)3091541281
Mobile: +49-(0)15777374888
LinkedIn: http://se.linkedin.com/pub/anna-zakrisson-braeunlich/33/5a2/51b
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