R help - Jun 2012 - Help for boxplot

Hi guys, 

I am doing a project to evaluate the 7 individual fund performance from a
portfolio compared with all fund performance utilizing the same strategy.

Lets say in total there are 10 strategies and in the portfolio there exist 5
strategies.

First, i use the BOXPLOT() and SUBSET() to produce the box plot of all the 5
funds performance individually: 

#identify funds in strategies within the portfolio
filteredFunds = subset(allfunds,Strategy %in% portStrats);

#create box plot
boxplot(NetReturn~Strategy,data=filteredFunds,horizontal=TRUE)

Though it produced these 5 box plot, while the Y-aix has all the 10 strategy
labels. 
*So the FIRST QUESTION is how to eliminate the other 5 strategies on the
Y-aix? *

Next, I used the POINTS() to plot the performance of specific funds in the
related box plot, which are from the portfolio. 
and used TEXTXY() to label its name. 

#label portfolio funds

for(i in 1:T){
#loop through all strategies 

#get strategy	
	strat = portStrats[i];

#identify all funds of that strategy
	idx = allFundStrats == strat;
	
#get returns of the all funds	
	rets = allFundRets[idx];
	
#identify portfolio funds of the same strategy

	portidx = fundStrats == strat;	
#get returns and names
	frets = fundrets[portidx];
	fnames = fundNames[portidx];
	
	N = length(frets);

#now figure out where to put the labels	
	s = 1 / N;
		for (j in 1:N){
			yy = j * s + i*2;
			points(x=frets[j],y=yy,col="red");
			textxy(X=frets[j]*-1,Y=yy,labs=fnames[j]);	
		}
		
}

*The ERROR is Error in xy.coords(x, y) : 'x' and 'y' lengths
differ*
I think its because of the number of X&Y differs. 

Can you guy help me to fix it?

Thank you so much.

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> -----Original Message-----
> First, i use the BOXPLOT() and SUBSET() to produce the box 
> plot of all the 5 funds performance individually: 
> ... 
> *So the FIRST QUESTION is how to eliminate the other 5 
> strategies on the Y-aix? *
either use
boxplot(NetReturn~factor(Strategy),data=filteredFunds,horizontal=TRUE)
# factor() will drop levels from an existing factor with surplus levels

or use droplevels on your subset to remove the extra levels (assuming, of
course, that you won't need them again).
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