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Data:
46.426 46.855 153.135 64 31 2.25 2.25 2.3 22.6 1.5 10.65 34 81.75 106.5 0.525 24.025 5.25 9 12.8 25.05 0.3 75.75 54.75 1.526 30.993 3.752 17.25 9.2 50.25 2.25 3.95 60 55.8 6.75 61.95 7.025 85.75 18.525 6 25.35 46.775 51.025 30 3 30 44 80.75 27.5 39.725 29.25 32.725 56.25 28.65 51.75 32.26 72 65.4 33.75 77.85 10.875
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R Code
library(MASS) (f<-fitdistr(x, 'logistic')) xlab <- paste('Logistic(location=',round(f$estimate[[1]],2)) xlab <- paste(xlab,', scale=') xlab <- paste(xlab,round(f$estimate[[2]],2)) xlab <- paste(xlab,')') bitmap(file='test2.png') qqplot(qlogis(ppoints(x), location=f$estimate[[1]], scale=f$estimate[[2]]), x, main='QQ plot (Logistic)', xlab=xlab ) grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Parameter',1,TRUE) a<-table.element(a,'Estimated Value',1,TRUE) a<-table.element(a,'Standard Deviation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'location',header=TRUE) a<-table.element(a,f$estimate[1]) a<-table.element(a,f$sd[1]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'scale',header=TRUE) a<-table.element(a,f$estimate[2]) a<-table.element(a,f$sd[2]) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Big Analytics Cloud Computing Center
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