R version 2.8.0 (2008-10-20)
Copyright (C) 2008 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.

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Type 'contributors()' for more information and
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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(32
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> x <- c(59
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> 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 
-504.048   -7.611   -1.787    3.659  660.849 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   2.4492     2.1159   1.158    0.248    
x             0.6351     0.0188  33.788   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 40.9 on 587 degrees of freedom
Multiple R-squared: 0.6604,	Adjusted R-squared: 0.6599 
F-statistic:  1142 on 1 and 587 DF,  p-value: < 2.2e-16 

> postscript(file="/var/www/html/freestat/rcomp/tmp/1qkc41289328750.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/freestat/rcomp/tmp/2qkc41289328750.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 
-1.821e-13 -1.947e-15  1.855e-16  2.460e-15  1.283e-13 

Coefficients:
             Estimate Std. Error   t value Pr(>|t|)    
(Intercept) 2.449e+00  5.580e-16 4.389e+15   <2e-16 ***
x           6.351e-01  4.957e-18 1.281e+17   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 1.079e-14 on 587 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 1.642e+34 on 1 and 587 DF,  p-value: < 2.2e-16 

> z2 <- as.data.frame(cbind(x,m$fitted.values))
> names(z2) <- list('x','Fitted')
> plot(z2,main='Scatterplot, lowess, and regression line')
> lines(lowess(z2),col='red')
> abline(m2)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/31ccp1289328750.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m3 <- lm(m$residuals ~ x)
> summary(m3)

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

Residuals:
     Min       1Q   Median       3Q      Max 
-504.048   -7.611   -1.787    3.659  660.849 

Coefficients:
              Estimate Std. Error   t value Pr(>|t|)
(Intercept) -7.712e-16  2.116e+00 -3.65e-16        1
x            8.764e-18  1.880e-02  4.66e-16        1

Residual standard error: 40.9 on 587 degrees of freedom
Multiple R-squared: 2.333e-34,	Adjusted R-squared: -0.001704 
F-statistic: 1.369e-31 on 1 and 587 DF,  p-value: 1 

> z3 <- as.data.frame(cbind(x,m$residuals))
> names(z3) <- list('x','Residuals')
> plot(z3,main='Scatterplot, lowess, and regression line')
> lines(lowess(z3),col='red')
> abline(m3)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/4b3bs1289328750.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> m4 <- lm(m$fitted.values ~ m$residuals)
> summary(m4)

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

Residuals:
    Min      1Q  Median      3Q     Max 
-42.596 -27.353 -15.285   4.404 467.413 

Coefficients:
             Estimate Std. Error  t value Pr(>|t|)    
(Intercept) 4.568e+01  2.350e+00    19.44   <2e-16 ***
m$residuals 1.340e-16  5.756e-02 2.33e-15        1    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 57.04 on 587 degrees of freedom
Multiple R-squared: 7.022e-32,	Adjusted R-squared: -0.001704 
F-statistic: 4.122e-29 on 1 and 587 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/freestat/rcomp/tmp/5mcsd1289328750.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 
-502.719   -7.594   -1.620    3.585  661.406 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)  0.01357    1.68586   0.008    0.994
Residuals    0.05096    0.04125   1.235    0.217

Residual standard error: 40.88 on 586 degrees of freedom
  (2 observations deleted due to missingness)
Multiple R-squared: 0.002597,	Adjusted R-squared: 0.0008947 
F-statistic: 1.526 on 1 and 586 DF,  p-value: 0.2173 

> abline(m5)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/6f39g1289328750.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(m$residuals,main='Residual Histogram',xlab='Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/7f39g1289328750.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~m$residuals,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~m$residuals,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/88vrj1289328750.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(m$residuals,main='Residual Autocorrelation Function')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/98vrj1289328750.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/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/1044691289328750.tab") 
> 
> try(system("convert tmp/1qkc41289328750.ps tmp/1qkc41289328750.png",intern=TRUE))
character(0)
> try(system("convert tmp/2qkc41289328750.ps tmp/2qkc41289328750.png",intern=TRUE))
character(0)
> try(system("convert tmp/31ccp1289328750.ps tmp/31ccp1289328750.png",intern=TRUE))
character(0)
> try(system("convert tmp/4b3bs1289328750.ps tmp/4b3bs1289328750.png",intern=TRUE))
character(0)
> try(system("convert tmp/5mcsd1289328750.ps tmp/5mcsd1289328750.png",intern=TRUE))
character(0)
> try(system("convert tmp/6f39g1289328750.ps tmp/6f39g1289328750.png",intern=TRUE))
character(0)
> try(system("convert tmp/7f39g1289328750.ps tmp/7f39g1289328750.png",intern=TRUE))
character(0)
> try(system("convert tmp/88vrj1289328750.ps tmp/88vrj1289328750.png",intern=TRUE))
character(0)
> try(system("convert tmp/98vrj1289328750.ps tmp/98vrj1289328750.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.584   2.557   3.962