R version 2.15.3 (2013-03-01) -- "Security Blanket"
Copyright (C) 2013 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(4.59511985
+ ,4.543294782
+ ,4.382026635
+ ,4.248495242
+ ,4.605170186
+ ,4.691347882
+ ,4.127134385
+ ,4.394449155
+ ,4.304065093
+ ,4.795790546
+ ,4.605170186
+ ,4.290459441
+ ,4.477336814
+ ,4.465908119
+ ,4.290459441
+ ,4.17438727
+ ,4.48863637
+ ,4.454347296
+ ,4.983606622
+ ,4.672828834
+ ,4.060443011
+ ,4.48863637
+ ,4.304065093
+ ,4.990432587
+ ,4.406719247
+ ,4.510859507
+ ,4.532599493
+ ,4.875197323
+ ,4.477336814
+ ,4.672828834
+ ,4.143134726
+ ,4.905274778
+ ,4.304065093
+ ,4.406719247
+ ,4.262679877
+ ,4.828313737
+ ,4.189654742
+ ,4.442651256
+ ,4.521788577
+ ,4.304065093
+ ,4.477336814
+ ,4.127134385
+ ,4.510859507
+ ,4.59511985
+ ,4.795790546
+ ,4.564348191
+ ,4.553876892
+ ,4.615120517
+ ,4.465908119
+ ,4.369447852
+ ,4.219507705
+ ,4.624972813
+ ,4.553876892
+ ,4.356708827
+ ,4.762173935
+ ,4.564348191
+ ,4.532599493
+ ,4.110873864
+ ,4.110873864
+ ,4.382026635
+ ,4.394449155
+ ,4.369447852
+ ,4.406719247
+ ,4.718498871
+ ,4.624972813
+ ,4.543294782
+ ,4.59511985
+ ,4.317488114
+ ,4.905274778
+ ,4.394449155
+ ,4.356708827
+ ,4.624972813
+ ,4.454347296
+ ,4.418840608
+ ,4.709530201
+ ,4.276666119
+ ,4.454347296
+ ,4.615120517
+ ,4.382026635
+ ,4.709530201
+ ,4.343805422
+ ,4.430816799
+ ,4.418840608
+ ,4.17438727
+ ,4.605170186
+ ,4.521788577
+ ,4.663439094
+ ,4.248495242
+ ,4.49980967
+ ,4.510859507
+ ,4.59511985
+ ,4.770684624
+ ,4.189654742
+ ,4.343805422
+ ,4.430816799
+ ,4.615120517
+ ,4.158883083
+ ,4.477336814
+ ,4.418840608
+ ,4.65396035
+ ,4.844187086
+ ,4.356708827
+ ,4.248495242
+ ,4.691347882
+ ,4.644390899
+ ,4.454347296
+ ,4.574710979)
> par1 = '10'
> xlab = 'symptoms'
> main = 'Stress study'
> par1 <- '10'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Ian E. Holliday, 2012, Histogram,  QQplot and Density Plot (v1.0.1) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_Distributional Plots.wasp/
> #Source of accompanying publication: 
> #
> x <- x[!is.na(x)]
> postscript(file="/var/fisher/rcomp/tmp/1n0cw1369219261.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> par1 <- as.numeric(par1)
> myhist<-hist(x, breaks=par1, col=2, xlab=xlab, main=main)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/2gxqg1369219261.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(x)
> qqline(x, col=2)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/3pkzd1369219261.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(density(x), xlab=xlab, main=main)
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Descriptive Statistics',3,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> a<-table.element(a,signif(mean(x), 6))
> a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm','formula','click to see the formula'))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'standard deviation',header=TRUE)
> a<-table.element(a,signif(sd(x), 6))
> a<-table.element(a,hyperlink('http://www.xycoon.com/unbiased1.htm','formula','click to see the formula'))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/4kawh1369219261.tab") 
> 
> try(system("convert tmp/1n0cw1369219261.ps tmp/1n0cw1369219261.png",intern=TRUE))
character(0)
> try(system("convert tmp/2gxqg1369219261.ps tmp/2gxqg1369219261.png",intern=TRUE))
character(0)
> try(system("convert tmp/3pkzd1369219261.ps tmp/3pkzd1369219261.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.756   0.346   2.089