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Data:
5692.4 5634.45 5555.38 5352.26 5233.07 4880.16 4861.88 4661.93 4330.68 3681.56 3540.08 3328.03 3254.92 3217.27 3301.29 4272.3 4424.8 4449.8 4678 4722.2 4708.9 4121.4 4230.6 4263 4241.9 4309.8 4457.9 4543.9 4937 4917.9 5041.1 5017.2 4833.9 4815.4 4785.9
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R Code
library(MASS) library(car) chii <- x chi_df <- fitdistr(chii,'chi-squared',start=list(df=3), method='Brent',lower=0.1,upper=100) chi_k <- chi_df[[1]][1] bitmap(file='test1.png') chi_hist <- hist(chii,breaks=50,col='gray',freq=FALSE,main='Histogram scaled to density',xlab='x') curve(dchisq(x,df=chi_k),add=TRUE,col='red') dev.off() f<-chi_df f$estimate f$sd xlab <- paste('Chisq(df = ',round(f$estimate[[1]],2),sep='') xlab <- paste(xlab,')',sep='') xlab bitmap(file='test2.png') qqPlot(x, dist='chisq', df=f$estimate[[1]], ncp=0, main='QQ plot (Chi-squared 1 param.)', 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,'df',header=TRUE) a<-table.element(a,f$estimate[1]) a<-table.element(a,f$sd[1]) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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