R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(3,3,4,2,2,3,3,3,3,3,4,1,3,3,3,3,3,3,1,3,3,3,3,4,4,3,2,1,4,3,3,3,3,4,4,3,2,1,3,3,3,3,3,4,4,4,3,3,3,4,3,4,4,3,3,2,3,3,3,4,3,3,3,3,3,3,4,1,3,3,4,4,3,3,3,4,3,3,2,3,4,3,4,2,1,3,3,4,3,3,3,4,3,3,3,3,3,3,3,4,3,3,1,3,2,3,3,3,3,3,3,4,3,3,2,4,3,3,3,2,3,3,3,3,3)
> x <- c(4,3,5,4,2,4,3,2,4,2,4,2,5,3,4,3,4,2,3,4,2,4,4,3,4,2,4,4,4,2,4,4,4,4,3,4,3,3,3,2,4,4,4,3,4,4,3,1,4,4,2,2,4,3,1,4,2,4,5,3,2,4,2,2,2,4,5,4,5,2,3,4,3,2,3,4,1,2,2,3,3,2,2,4,3,3,4,4,2,2,4,3,2,4,3,3,4,4,3,3,3,2,2,1,2,3,3,3,3,4,2,3,3,4,3,3,3,4,4,3,4,5,2,4,3)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = ''
> par6 = ''
> par5 = ''
> par4 = ''
> par3 = ''
> par2 = ''
> par1 = '0'
> ylab = ''
> xlab = ''
> main = ''
> #'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!)
> par1 <- as.numeric(par1)
> library(lattice)
> z <- as.data.frame(cbind(x,y))
> m <- lm(y~x)
> summary(m)

Call:
lm(formula = y ~ x)

Residuals:
      Min        1Q    Median        3Q       Max 
-2.094755 -0.094755  0.009518  0.113790  1.113790 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  2.67766    0.22006  12.168   <2e-16 ***
x            0.10427    0.06652   1.568    0.120    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.7086 on 123 degrees of freedom
Multiple R-squared: 0.01959,	Adjusted R-squared: 0.01161 
F-statistic: 2.457 on 1 and 123 DF,  p-value: 0.1196 

> postscript(file="/var/www/rcomp/tmp/1239v1289647859.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(z,main='Scatterplot, lowess, and regression line')
> lines(lowess(z),col='red')
> abline(m)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2239v1289647859.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m2 <- lm(m$fitted.values ~ x)
> summary(m2)

Call:
lm(formula = m$fitted.values ~ x)

Residuals:
       Min         1Q     Median         3Q        Max 
-6.517e-16 -7.256e-17 -6.367e-17  1.647e-16  3.715e-16 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 2.678e+00  4.544e-17 5.893e+16   <2e-16 ***
x           1.043e-01  1.374e-17 7.591e+15   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 1.463e-16 on 123 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 5.762e+31 on 1 and 123 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3ucry1289647859.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

Call:
lm(formula = m$residuals ~ x)

Residuals:
      Min        1Q    Median        3Q       Max 
-2.094755 -0.094755  0.009518  0.113790  1.113790 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept) -3.078e-17  2.201e-01 -1.40e-16        1
x            5.533e-18  6.652e-02  8.32e-17        1

Residual standard error: 0.7086 on 123 degrees of freedom
Multiple R-squared: 2.475e-34,	Adjusted R-squared: -0.00813 
F-statistic: 3.044e-32 on 1 and 123 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4nmqi1289647859.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

Call:
lm(formula = m$fitted.values ~ m$residuals)

Residuals:
     Min       1Q   Median       3Q      Max 
-0.22606 -0.12179 -0.01752  0.08675  0.19103 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)    
(Intercept) 3.008e+00  8.958e-03    335.8   <2e-16 ***
m$residuals 9.970e-18  1.274e-02 7.82e-16        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.1002 on 123 degrees of freedom
Multiple R-squared: 5.755e-30,	Adjusted R-squared: -0.00813 
F-statistic: 7.078e-28 on 1 and 123 DF,  p-value: 1 

> z4 <- as.data.frame(cbind(m$residuals,m$fitted.values))
> names(z4) <- list('Residuals','Fitted')
> plot(z4,main='Scatterplot, lowess, and regression line')
> lines(lowess(z4),col='red')
> abline(m4)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/5nmqi1289647859.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myr <- as.ts(m$residuals)
> z5 <- as.data.frame(cbind(lag(myr,1),myr))
> names(z5) <- list('Lagged Residuals','Residuals')
> plot(z5,main='Lag plot')
> m5 <- lm(z5)
> summary(m5)

Call:
lm(formula = z5)

Residuals:
     Min       1Q   Median       3Q      Max 
-2.15930 -0.09836  0.01629  0.15072  1.10396 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.0007703  0.0636860   0.012    0.990
Residuals   0.0796197  0.0902417   0.882    0.379

Residual standard error: 0.7092 on 122 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.00634,	Adjusted R-squared: -0.001805 
F-statistic: 0.7784 on 1 and 122 DF,  p-value: 0.3794 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6gd7l1289647859.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7q46o1289647859.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/8q46o1289647859.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/9q46o1289647859.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(x)
> qqline(x)
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Simple Linear Regression',5,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Statistics',1,TRUE)
> a<-table.element(a,'Estimate',1,TRUE)
> a<-table.element(a,'S.D.',1,TRUE)
> a<-table.element(a,'T-STAT (H0: coeff=0)',1,TRUE)
> a<-table.element(a,'P-value (two-sided)',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'constant term',header=TRUE)
> a<-table.element(a,m$coefficients[[1]])
> sd <- sqrt(vcov(m)[1,1])
> a<-table.element(a,sd)
> tstat <- m$coefficients[[1]]/sd
> a<-table.element(a,tstat)
> pval <- 2*(1-pt(abs(tstat),length(x)-2))
> a<-table.element(a,pval)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'slope',header=TRUE)
> a<-table.element(a,m$coefficients[[2]])
> sd <- sqrt(vcov(m)[2,2])
> a<-table.element(a,sd)
> tstat <- m$coefficients[[2]]/sd
> a<-table.element(a,tstat)
> pval <- 2*(1-pt(abs(tstat),length(x)-2))
> a<-table.element(a,pval)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/10f5li1289647859.tab") 
> 
> try(system("convert tmp/1239v1289647859.ps tmp/1239v1289647859.png",intern=TRUE))
character(0)
> try(system("convert tmp/2239v1289647859.ps tmp/2239v1289647859.png",intern=TRUE))
character(0)
> try(system("convert tmp/3ucry1289647859.ps tmp/3ucry1289647859.png",intern=TRUE))
character(0)
> try(system("convert tmp/4nmqi1289647859.ps tmp/4nmqi1289647859.png",intern=TRUE))
character(0)
> try(system("convert tmp/5nmqi1289647859.ps tmp/5nmqi1289647859.png",intern=TRUE))
character(0)
> try(system("convert tmp/6gd7l1289647859.ps tmp/6gd7l1289647859.png",intern=TRUE))
character(0)
> try(system("convert tmp/7q46o1289647859.ps tmp/7q46o1289647859.png",intern=TRUE))
character(0)
> try(system("convert tmp/8q46o1289647859.ps tmp/8q46o1289647859.png",intern=TRUE))
character(0)
> try(system("convert tmp/9q46o1289647859.ps tmp/9q46o1289647859.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.730   0.950   3.614