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.

> y <- c(5,5,2,4,3,3,4,4,4,3,2,4,4,2,4,4,3,2,4,4,4,3,4,3,4,2,4,3,4,3,5,2,4,5,2,4,4,4,4,4,2,4,3,4,4,4,5,4,4,1,4,2,4,4,4,2,4,4,3,2,3,5,4,2,2,2,4,4,4,4,3,3,4,5,1,2,2,4,4,2,2,2,5,4,4,3,2,3,4,2,4,3,3,3,3,4,2,3,2,4,4,4,2,4,2,4,2,2,3,4,2,3,2,5,2,2,3,2,2,3,4,2,4,3,2,2,2,4,2,4,3,2,4,2,4,4,2,4,4,4,2,3,3,3,4,2,2,4,3,4,3,4)
> x <- c(1,4,1,2,3,2,2,1,2,1,2,2,2,2,1,2,4,2,2,2,1,1,2,2,2,2,1,3,2,2,4,3,1,1,2,2,1,1,3,2,2,3,1,1,1,3,3,2,2,1,2,2,1,2,1,3,2,2,1,2,1,2,1,1,2,4,1,2,3,2,4,3,1,1,4,2,2,1,2,2,2,3,4,2,2,2,3,1,2,1,4,3,2,2,3,2,2,3,2,1,2,1,2,1,2,2,5,1,3,2,3,2,2,1,2,3,3,3,3,2,3,3,2,2,1,2,1,3,2,2,1,2,1,1,2,2,2,2,1,1,1,1,4,2,1,2,2,3,1,3,2,2)
> par1 = '0'
> #'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 
-2.3674 -1.1114  0.0166  0.7606  2.0166 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)  3.49534    0.20068  17.418   <2e-16 ***
x           -0.12798    0.09126  -1.402    0.163    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.9784 on 150 degrees of freedom
Multiple R-squared: 0.01294,	Adjusted R-squared: 0.006362 
F-statistic: 1.967 on 1 and 150 DF,  p-value: 0.1629 

> postscript(file="/var/www/html/rcomp/tmp/1dnmm1289932729.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/html/rcomp/tmp/2dnmm1289932729.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 
-1.412e-15 -1.412e-15 -8.960e-16 -4.519e-16  9.246e-14 

Coefficients:
              Estimate Std. Error    t value Pr(>|t|)    
(Intercept)  3.495e+00  1.565e-15  2.233e+15   <2e-16 ***
x           -1.280e-01  7.118e-16 -1.798e+14   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 7.632e-15 on 150 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 3.233e+28 on 1 and 150 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3owl71289932729.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-2.3674 -1.1114  0.0166  0.7606  2.0166 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept)  7.872e-16  2.007e-01  3.92e-15        1
x           -5.592e-16  9.126e-02 -6.13e-15        1

Residual standard error: 0.9784 on 150 degrees of freedom
Multiple R-squared: 2.988e-31,	Adjusted R-squared: -0.006667 
F-statistic: 4.482e-29 on 1 and 150 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4y5ks1289932729.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
      Min        1Q    Median        3Q       Max 
-0.381425  0.002526  0.002526  0.130510  0.130510 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)    
(Intercept) 3.237e+00  9.087e-03    356.2   <2e-16 ***
m$residuals 1.103e-15  9.349e-03 1.18e-13        1    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.112 on 150 degrees of freedom
Multiple R-squared: 1.223e-27,	Adjusted R-squared: -0.006667 
F-statistic: 1.835e-25 on 1 and 150 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/html/rcomp/tmp/5y5ks1289932729.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 
-2.2693 -1.1129  0.1146  0.7448  2.2139 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.01139    0.07862  -0.145    0.885
Residuals   -0.11390    0.08078  -1.410    0.161

Residual standard error: 0.966 on 149 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.01317,	Adjusted R-squared: 0.006543 
F-statistic: 1.988 on 1 and 149 DF,  p-value: 0.1606 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6rx1u1289932729.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7rx1u1289932729.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/826jx1289932729.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/926jx1289932729.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/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,'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/html/rcomp/tmp/10yyy61289932729.tab") 
> 
> try(system("convert tmp/1dnmm1289932729.ps tmp/1dnmm1289932729.png",intern=TRUE))
character(0)
> try(system("convert tmp/2dnmm1289932729.ps tmp/2dnmm1289932729.png",intern=TRUE))
character(0)
> try(system("convert tmp/3owl71289932729.ps tmp/3owl71289932729.png",intern=TRUE))
character(0)
> try(system("convert tmp/4y5ks1289932729.ps tmp/4y5ks1289932729.png",intern=TRUE))
character(0)
> try(system("convert tmp/5y5ks1289932729.ps tmp/5y5ks1289932729.png",intern=TRUE))
character(0)
> try(system("convert tmp/6rx1u1289932729.ps tmp/6rx1u1289932729.png",intern=TRUE))
character(0)
> try(system("convert tmp/7rx1u1289932729.ps tmp/7rx1u1289932729.png",intern=TRUE))
character(0)
> try(system("convert tmp/826jx1289932729.ps tmp/826jx1289932729.png",intern=TRUE))
character(0)
> try(system("convert tmp/926jx1289932729.ps tmp/926jx1289932729.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.857   1.391   2.297