R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(0.09,0.65,-1.53,-3.36,10.51,-1.02,-2.68,-9.75,3.64,9.5,-0.33,-0.99,3.16,4.27,-2.97,-7.49,0.33,-2.57,4.07,5.31,-8.09,5.29,7.38,-6.12,-3.38,-8.61,2.58,10.02,7.08,-2.75,3.42,-1.6,0.65,2.86,-3.52,5.65,4.31,-4.39,-5.85,-5.47,-2.3,-0.14,8.08,-7.43,0.02,-2.47,-2.11,7.87,4.66,3.6,-3.64,7.26,-7.62,13.83,1.28,-0.32,-2.9,4.92,11.99,10.06,-2.22,3.97,0.56,3.34,-2.86,4.38,1.43,-0.49,-1.23)
> par2 = '0'
> par1 = '0.95'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: Wessa P., (2007), Testing Population Mean with unknown Variance (confidence intervals) (v1.0.1) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_hypothesismeanu.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> len <- length(x)
> df <- len - 1
> sd <- sd(x)
> mx <- mean(x)
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> delta2 <- abs(qt((1-par1)/2,df)) * sd / sqrt(len)
> delta1 <- abs(qt((1-par1),df)) * sd / sqrt(len)
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Hypothesis Test about the Mean - Confidence Interval',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Sample size',header=TRUE)
> a<-table.element(a,len)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Sample standard deviation',header=TRUE)
> a<-table.element(a,sd)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Confidence',header=TRUE)
> a<-table.element(a,par1)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Null hypothesis',header=TRUE)
> a<-table.element(a,par2)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Sample Mean',header=TRUE)
> a<-table.element(a,mx)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'2-sided Confidence Interval',header=TRUE)
> dum <- paste('[',mx-delta2)
> dum <- paste(dum,',')
> dum <- paste(dum,mx+delta2)
> dum <- paste(dum,']')
> a<-table.element(a,dum)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Left-sided Confidence Interval',header=TRUE)
> dum <- paste('[',mx-delta1)
> dum <- paste(dum,', +inf ]')
> a<-table.element(a,dum)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Right-sided Confidence Interval',header=TRUE)
> dum <- paste('[ -inf, ',mx+delta1)
> dum <- paste(dum,']')
> a<-table.element(a,dum)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/12pgg1230379674.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  0.203   0.029   0.227