R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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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.

> x <- array(list(111
+ ,45
+ ,27
+ ,52
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+ ,40
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+ ,28
+ ,50)
+ ,dim=c(4
+ ,88)
+ ,dimnames=list(c('IQ'
+ ,'Add'
+ ,'MumAge'
+ ,'Grade')
+ ,1:88))
>  y <- array(NA,dim=c(4,88),dimnames=list(c('IQ','Add','MumAge','Grade'),1:88))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par3 = 'TRUE'
> par2 = '2'
> par1 = '1'
> ylab = 'Grade'
> xlab = 'IQ'
> main = 'Linear Regression Exercise'
> cat1 <- as.numeric(par1) #
> cat2<- as.numeric(par2) #
> intercept<-as.logical(par3)
> x <- t(x)
> xdf<-data.frame(t(y))
> (V1<-dimnames(y)[[1]][cat1])
[1] "IQ"
> (V2<-dimnames(y)[[1]][cat2])
[1] "Add"
> xdf <- data.frame(xdf[[cat1]], xdf[[cat2]])
> names(xdf)<-c('Y', 'X')
> if(intercept == FALSE) (lmxdf<-lm(Y~ X - 1, data = xdf) ) else (lmxdf<-lm(Y~ X, data = xdf) )

Call:
lm(formula = Y ~ X, data = xdf)

Coefficients:
(Intercept)            X  
   135.1629      -0.6674  

> sumlmxdf<-summary(lmxdf)
> (aov.xdf<-aov(lmxdf) )
Call:
   aov(formula = lmxdf)

Terms:
                       X Residuals
Sum of Squares  5597.714  8546.730
Deg. of Freedom        1        86

Residual standard error: 9.968981
Estimated effects may be unbalanced
> (anova.xdf<-anova(lmxdf) )
Analysis of Variance Table

Response: Y
          Df Sum Sq Mean Sq F value    Pr(>F)    
X          1 5597.7  5597.7  56.326 5.244e-11 ***
Residuals 86 8546.7    99.4                      
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 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()
> nc <- ncol(sumlmxdf$'coefficients')
> nr <- nrow(sumlmxdf$'coefficients')
> a<-table.row.start(a)
> a<-table.element(a,'Linear Regression Model', nc+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, lmxdf$call['formula'],nc+1)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'coefficients:',1,TRUE)
> a<-table.element(a, ' ',nc,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, ' ',1,TRUE)
> for(i in 1 : nc){
+ a<-table.element(a, dimnames(sumlmxdf$'coefficients')[[2]][i],1,TRUE)
+ }#end header
> a<-table.row.end(a)
> for(i in 1: nr){
+ a<-table.element(a,dimnames(sumlmxdf$'coefficients')[[1]][i] ,1,TRUE)
+ for(j in 1 : nc){
+ a<-table.element(a, round(sumlmxdf$coefficients[i, j], digits=3), 1 ,FALSE)
+ }# end cols
+ a<-table.row.end(a)
+ } #end rows
> a<-table.row.start(a)
> a<-table.element(a, '- - - ',1,TRUE)
> a<-table.element(a, ' ',nc,FALSE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Residual Std. Err. ',1,TRUE)
> a<-table.element(a, paste(round(sumlmxdf$'sigma', digits=3), ' on ', sumlmxdf$'df'[2], 'df') ,nc, FALSE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple R-sq. ',1,TRUE)
> a<-table.element(a, round(sumlmxdf$'r.squared', digits=3) ,nc, FALSE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Adjusted R-sq. ',1,TRUE)
> a<-table.element(a, round(sumlmxdf$'adj.r.squared', digits=3) ,nc, FALSE)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/1mxe01386082684.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'ANOVA Statistics', 5+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, ' ',1,TRUE)
> a<-table.element(a, 'Df',1,TRUE)
> a<-table.element(a, 'Sum Sq',1,TRUE)
> a<-table.element(a, 'Mean Sq',1,TRUE)
> a<-table.element(a, 'F value',1,TRUE)
> a<-table.element(a, 'Pr(>F)',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, V2,1,TRUE)
> a<-table.element(a, anova.xdf$Df[1])
> a<-table.element(a, round(anova.xdf$'Sum Sq'[1], digits=3))
> a<-table.element(a, round(anova.xdf$'Mean Sq'[1], digits=3))
> a<-table.element(a, round(anova.xdf$'F value'[1], digits=3))
> a<-table.element(a, round(anova.xdf$'Pr(>F)'[1], digits=3))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Residuals',1,TRUE)
> a<-table.element(a, anova.xdf$Df[2])
> a<-table.element(a, round(anova.xdf$'Sum Sq'[2], digits=3))
> a<-table.element(a, round(anova.xdf$'Mean Sq'[2], digits=3))
> a<-table.element(a, ' ')
> a<-table.element(a, ' ')
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/279jv1386082684.tab") 
> postscript(file="/var/fisher/rcomp/tmp/3bwce1386082684.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(Y~ X, data=xdf, xlab=V2, ylab=V1, main='Regression Solution')
> if(intercept == TRUE) abline(coef(lmxdf), col='red')
> if(intercept == FALSE) abline(0.0, coef(lmxdf), col='red')
> dev.off()
null device 
          1 
> library(car)
Loading required package: MASS
Loading required package: nnet
> postscript(file="/var/fisher/rcomp/tmp/47epz1386082684.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qq.plot(resid(lmxdf), main='QQplot of Residuals of Fit')
Warning message:
'qq.plot' is deprecated.
Use 'qqPlot' instead.
See help("Deprecated") and help("car-deprecated"). 
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/5nif51386082684.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(xdf$X, resid(lmxdf), main='Scatterplot of Residuals of Model Fit')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/6vapc1386082684.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot.lm(lmxdf, which=4)
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/3bwce1386082684.ps tmp/3bwce1386082684.png",intern=TRUE))
character(0)
> try(system("convert tmp/47epz1386082684.ps tmp/47epz1386082684.png",intern=TRUE))
character(0)
> try(system("convert tmp/5nif51386082684.ps tmp/5nif51386082684.png",intern=TRUE))
character(0)
> try(system("convert tmp/6vapc1386082684.ps tmp/6vapc1386082684.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.654   1.118   5.758