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170 170 165 161 183 170 175 170 172 168 175 173 175 175 178 188 179 165 170 175 174 178 173 171 165 175 170 169 180 183 173 175 170 180 175 180 175 170 165 180 174 200 165 180 165 173 175 175 165 180 165 175 175 171 178 180 180 178 175 175 181 188 175 183 175 183 183 173 185 185 183 185 178 188 183 188 185 180 185 182 185 178
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R Code
par1 <- '10' x <- x[!is.na(x)] bitmap(file='test1.png') par1 <- as.numeric(par1) myhist<-hist(x, breaks=par1, col=2, xlab=xlab, main=main) dev.off() bitmap(file='test2.png') qqnorm(x) qqline(x, col=2) dev.off() bitmap(file='test3.png') plot(density(x), xlab=xlab, main=main) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Descriptive Statistics',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,signif(mean(x), 6)) a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm','formula','click to see the formula')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'standard deviation',header=TRUE) a<-table.element(a,signif(sd(x), 6)) a<-table.element(a,hyperlink('http://www.xycoon.com/unbiased1.htm','formula','click to see the formula')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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