R version 2.9.0 (2009-04-17) Copyright (C) 2009 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(15,18,8,19,20,16,14,14,8,23,9,15,19,6,11,17,17,5,15,17,20,7,15,15,10,14,9,18,17,14,16,10,10,14,10,9,12,16,18,18,9,19,23,22,14,14,12,12,16,11,14,13,9,13,19,13,13,14,11,18,19,15,19,15,17,8,10,12,12,20,12,14,10,18,18,7,18,9,22,11,15,14,14,20,8,17,9,22,10,12,12,20,18,16,13,17,17,11,4,10,13,11,24,5,5,13,9,17,12,7,16,14,24,18,12,9,8,10,19,4,19,11,11,24,17,18,12,16,23,7,10,17,21,19,13,12,22,5,14,12,12,6,17,15,17,22,9,13,20,12,20,18,13,15,18,18,12,16,16,13,12) > 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: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > library(MASS) > par1 <- as.numeric(par1) > if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2) > x <- as.ts(x) #otherwise the fitdistr function does not work properly > r <- fitdistr(x,'normal') > r mean sd 14.1552795 4.5690819 ( 0.3600941) ( 0.2546250) > postscript(file="/var/www/html/rcomp/tmp/19q9f1287514169.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F) > curve(1/(r$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 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > 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/2crpk1287514169.tab") > try(system("convert tmp/19q9f1287514169.ps tmp/19q9f1287514169.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.386 0.158 0.505