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73 58 68 62 65 81 73 64 68 51 68 61 69 73 61 62 63 69 47 66 58 63 69 59 59 63 65 65 71 60 81 67 66 62 63 73 55 59 64 63 64 73 54 76 74 63 73 67 68 66 62 71 63 75 77 62 74 67 56 60 58 65 49 61 66 64 65 46 65 81 72 65 74 59 69 58 71 79 68 66 62 69 63 62 61 65 64 56 56 48 74 69 62 73 64 57 57 60 61 72 57 51 63 54 72 62 68 62 63 77 57 57 61 65 63 66 68 72 68 59 56 62 72 68 67 54 69 61 55 75 55 49 54 66 73 63 61 74 81 62 64 62 85 74 51 66
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R Code
library(MASS) par1 <- as.numeric(par1) if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2) x <- as.ts(x) #otherwise the fitdistr function does not work properly r <- fitdistr(x,'normal') r bitmap(file='test1.png') myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F) curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Parameter',1,TRUE) a<-table.element(a,'Estimated Value',1,TRUE) a<-table.element(a,'Standard Deviation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,r$estimate[1]) a<-table.element(a,r$sd[1]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'standard deviation',header=TRUE) a<-table.element(a,r$estimate[2]) a<-table.element(a,r$sd[2]) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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1 seconds
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Big Analytics Cloud Computing Center
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