R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- array(list(458.15
+ ,0
+ ,477.59
+ ,0.05
+ ,504.91
+ ,0.1
+ ,502.61
+ ,0.15
+ ,514.12
+ ,0.2
+ ,512.64
+ ,0.25
+ ,546.06
+ ,0.3
+ ,525.26
+ ,0.35
+ ,571.2
+ ,0.4
+ ,551.22
+ ,0.45
+ ,604.26
+ ,0.5
+ ,510.28
+ ,0.55
+ ,574.91
+ ,0.6
+ ,580.8
+ ,0.65
+ ,527.33
+ ,0.7
+ ,571.37
+ ,0.75
+ ,587.97
+ ,0.8
+ ,557.65
+ ,0.85
+ ,619.61
+ ,0.9
+ ,631.11
+ ,0.95
+ ,583.14
+ ,1
+ ,589.4
+ ,1.05
+ ,603.19
+ ,1.1
+ ,642.68
+ ,1.15
+ ,615.91
+ ,1.2
+ ,650.56
+ ,1.25
+ ,607.41
+ ,1.3
+ ,673.46
+ ,1.35
+ ,680.11
+ ,1.4
+ ,665.89
+ ,1.45
+ ,711.79
+ ,1.5
+ ,636.29
+ ,1.55
+ ,580.08
+ ,1.6
+ ,595.64
+ ,1.65
+ ,661.8
+ ,1.7
+ ,657.74
+ ,1.75
+ ,646.05
+ ,1.8
+ ,706.03
+ ,1.85
+ ,712.38
+ ,1.9
+ ,718.78
+ ,1.95
+ ,699.49
+ ,2
+ ,635.36
+ ,2.05
+ ,682.09
+ ,2.1
+ ,722.7
+ ,2.15
+ ,731.22
+ ,2.2
+ ,763.95
+ ,2.25
+ ,739.86
+ ,2.3
+ ,744.88
+ ,2.35
+ ,746.73
+ ,2.4
+ ,821.77
+ ,2.45
+ ,752.76
+ ,2.5
+ ,733.8
+ ,2.55
+ ,735.91
+ ,2.6
+ ,783.64
+ ,2.65
+ ,711.28
+ ,2.7
+ ,764.41
+ ,2.75
+ ,833.71
+ ,2.8
+ ,827.09
+ ,2.85
+ ,766.46
+ ,2.9
+ ,748.42
+ ,2.95
+ ,870.61
+ ,3
+ ,854.52
+ ,3.05
+ ,858.34
+ ,3.1
+ ,787.99
+ ,3.15
+ ,834.26
+ ,3.2
+ ,827.86
+ ,3.25
+ ,771.05
+ ,3.3
+ ,806.2
+ ,3.35
+ ,873.4
+ ,3.4
+ ,792.56
+ ,3.45
+ ,855.02
+ ,3.5
+ ,794.63
+ ,3.55
+ ,861.6
+ ,3.6
+ ,859.6
+ ,3.65
+ ,856.97
+ ,3.7
+ ,905.18
+ ,3.75
+ ,933
+ ,3.8
+ ,838.89
+ ,3.85
+ ,903.42
+ ,3.9
+ ,889.5
+ ,3.95
+ ,914.18
+ ,4
+ ,863.96
+ ,4.05
+ ,937.39
+ ,4.1
+ ,948.76
+ ,4.15
+ ,900.66
+ ,4.2
+ ,947.49
+ ,4.25
+ ,904.22
+ ,4.3
+ ,861.64
+ ,4.35
+ ,918.5
+ ,4.4
+ ,906.68
+ ,4.45
+ ,966.54
+ ,4.5
+ ,997.92
+ ,4.55
+ ,965.9
+ ,4.6
+ ,969.3
+ ,4.65
+ ,904.8
+ ,4.7
+ ,957.8
+ ,4.75
+ ,1026.98
+ ,4.8
+ ,1048.42
+ ,4.85
+ ,953.19
+ ,4.9
+ ,1020.25
+ ,4.95)
+ ,dim=c(2
+ ,100)
+ ,dimnames=list(c('oogst'
+ ,'mest')
+ ,1:100))
>  y <- array(NA,dim=c(2,100),dimnames=list(c('oogst','mest'),1:100))
>  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 = 'Y Variable Name'
> xlab = 'X Variable Name'
> main = 'Title Goes Here'
> par3 <- 'TRUE'
> par2 <- '2'
> par1 <- '1'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: aston2
> #To cite this work: Ian E. Holliday, 2012, Simple Linear Regression (v1.0.5) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_Simple%20Regression%20Y%20~%20X.wasp/
> #Source of accompanying publication: 
> #
> 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] "oogst"
> (V2<-dimnames(y)[[1]][cat2])
[1] "mest"
> 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  
      499.2        100.1  

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

Terms:
                        X Residuals
Sum of Squares  2088392.5  121060.9
Deg. of Freedom         1        98

Residual standard error: 35.14706 
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 2088392 2088392  1690.6 < 2.2e-16 ***
Residuals 98  121061    1235                      
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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)
+ }
+ a<-table.row.end(a)
+ }
> 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/wessaorg/rcomp/tmp/1olpv1355135824.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/wessaorg/rcomp/tmp/2g5kx1355135824.tab") 
> postscript(file="/var/wessaorg/rcomp/tmp/3zao81355135824.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/wessaorg/rcomp/tmp/40g4h1355135825.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/wessaorg/rcomp/tmp/5gzzx1355135825.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/wessaorg/rcomp/tmp/6n4nu1355135825.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/3zao81355135824.ps tmp/3zao81355135824.png",intern=TRUE))
character(0)
> try(system("convert tmp/40g4h1355135825.ps tmp/40g4h1355135825.png",intern=TRUE))
character(0)
> try(system("convert tmp/5gzzx1355135825.ps tmp/5gzzx1355135825.png",intern=TRUE))
character(0)
> try(system("convert tmp/6n4nu1355135825.ps tmp/6n4nu1355135825.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.312   0.396   2.693