R version 2.6.0 (2007-10-03) Copyright (C) 2007 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- c(101.30,102.00,109.20,88.60,94.30,98.30,86.40,80.60,104.10,108.20,93.40,71.90,94.10,94.90,96.40,91.10,84.40,86.40,88.00,75.10,109.70,103.00,82.10,68.00,96.40,94.30,90.00,88.00,76.10,82.50,81.40,66.50,97.20,94.10,80.70,70.50,87.80,89.50,99.60,84.20,75.10,92.00,80.80,73.10,99.80,90.00,83.10,72.40,78.80,87.30,91.00,80.10,73.60,86.40,74.50,71.20,92.40,81.50,85.30,69.90,84.20,90.70,100.30,79.40,84.80,92.90,81.60,76.00,98.70,89.10,88.70,67.10,93.60,97.00,100.80,80.10,80.70,89.60,81.30,71.30) > par2 = '0' > par1 = '8' > ylab = 'density' > xlab = 'value of data series' > main = 'Histogram and Fitted Normal Density' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: Wessa P., (2007), Maximum-likelihood Normal Distribution Fitting (v1.0.2) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_fitdistrnorm.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (available to developers only). > library(MASS) > par1 <- as.numeric(par1) > if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2) > x <- as.ts(x) #otherwise the fitdistr function does not work properly > r <- fitdistr(x,'normal') > r mean sd 86.9562500 10.3852280 ( 1.1611038) ( 0.8210244) > postscript(file="/var/www/html/rcomp/tmp/1l9if1194301627.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F) > curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T) > dev.off() null device 1 > load(file='/var/www/html/rcomp/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="/var/www/html/rcomp/tmp/2f85s1194301627.tab") > > system("convert tmp/1l9if1194301627.ps tmp/1l9if1194301627.png") > > > proc.time() user system elapsed 1.184 0.245 1.229