On 10/23/2012 07:22 PM, Macy Anonuevo wrote:
I'd greatly appreciate your help in making a bar graph with multiple
variables plotted on it. All the help sites I've seen so far only plot 1
variable on the y-axis
Data set:
I have 6 sites, each measured 5 times over the past year. During each
sampling time, I counted the occurrences of different benthic components
(coral, dead coral, sand, etc.) over 5 transects in each site
site time transect coral deadcoral sand rubble .....
S1 time1 trans1 10 15 10 4
S1 time1 trans2 5 4 10
6
S1 time1 trans3 10 2 5
7
.
.
.
S5 time5 trans5 6 3 1
6
I used aggregate to get the means of the individual variables (coral, dead
coral, etc.) using the site and time as grouping factors.
aggregate.plot(deadcoral, by=list(SITE=site, TIME=time), FUN=c("mean"),
error=c("sd"), legend.site="topright", bar.col=rainbow(6))
What I need now is to plot all the variables in 1 site as they change over
time.
What Excel produced:
<http://r.789695.n4.nabble.com/file/n4647099/abdeens_benthic_cover.jpg>
(The image has mean %cover as the y-value instead of mean count but the
example still applies)
I've spent several hours looking for code to do this but didn't find
anything. I'd use the Excel graph except that it doesn't have the sd or se
bars.
Hi Macy,
This isn't exactly the same as the Excel plot, but it might help you
out. If your data is in a data frame named "abs":
library(plotrix)
barpos<-barp(abs,names.arg=names(abs),
do.first=grid(nx=NA,lty=1,ny=9),col=rainbow(5),
ylim=c(0,100),staxx=TRUE,ylab="Percent",
main="Abdeen Benthic Cover Through Time",
height.at=seq(0,100,by=10))
dispersion(barpos$x,barpos$y,ulim=barpos$y/10)
legend(5,80,paste("T",1:5,sep=""),fill=rainbow(5),
bg="white")
Jim
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