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...uot;GAS")) # with cex=0.8 (but not working) barplot(d,beside=T,col=rainbow(5),names=c("CRTL","LSB","ONEMKR", "TWOMKR","BLUP","BLUPQ","BLUP1M","BLUP2M","GAS"),cex=0.8) Thanks in advance. -- Agus Susanto [[alternative HTML version deleted]]

Dear all, I know there are 'coef', 'predict', 'fit' to get the corresponding outputs. Is that possible to get the value of R-squared from a 'lm' output? Many thanks.

Is that possible to create superscript text on the graph legend, for example to put "cm2" (centimeter square) on the legend. Please show me how to do it. Thanks. -- Agus Susanto [[alternative HTML version deleted]]

Dear members, I want to create 8 graphs and write it into one page using mfrow=c(4,2). How to make all graphs (including the titles, legends, line types) to be scale down (resized proportionally). As an illustration, below is the code: pdf("testmfrow.pdf") par(mfrow=c(4,2)) x<-seq(1:10) y1<-rnorm(10) y2<-rnorm(10,mean=2,sd=1) y3<-rnorm(10,mean=3,sd=1)

...)),test = adjusted("Westfall")) # case 2 summary(glht(amod, linfct = mcp(trt = Ksub[,1:5])),test = adjusted("Westfall")) # case 3 summary(glht(amod, linfct = mcp(trt = Ksub[,])),test = adjusted("Westfall")) ## end of script All help are much appreciated. -- Agus Susanto [[alternative HTML version deleted]]

Many thanks again for all help. I then also learnt that to get the "Adjusted R-squared", I just issued command "summary(lm(y~x))$adj.r.squared".

Dear all, I would like to fit a linear regression with replication (on each year, observation is replicated, e.g 4 times). The independent variable ranges for instance 1-5 year, so I expect to have a linear fit of 5 points. For that purpose I do these (with dummy variables x and y): x<-rep(seq(1:5),4) y<-rnorm(20) linreg<-lm(y~x) fitted.values(linreg) # why produce 20 points of

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Many years ago, my sister asked me to look at the Google <a href="http://images.google.com/">Images search</a> . When I first saw the page, I thought Google was offering a place for freebie photos before I realized that it was probably searching for and finding the "alt tag" text written in the HTML for website images. "Alt tags" or "alt text"