R version 3.0.3 (2014-03-06) -- "Warm Puppy"
Copyright (C) 2014 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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
'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.

> x <- array(list(7.00
+ ,.00
+ ,109.00
+ ,13.10
+ ,68.00
+ ,32.00
+ ,258.00
+ ,183.00
+ ,137.00
+ ,95.00
+ ,7.00
+ ,1.00
+ ,112.00
+ ,12.90
+ ,65.00
+ ,19.00
+ ,449.00
+ ,245.00
+ ,134.00
+ ,85.00
+ ,8.00
+ ,.00
+ ,124.00
+ ,14.10
+ ,64.00
+ ,22.00
+ ,441.00
+ ,268.00
+ ,147.00
+ ,100.00
+ ,8.00
+ ,1.00
+ ,125.00
+ ,16.20
+ ,67.00
+ ,41.00
+ ,234.00
+ ,146.00
+ ,124.00
+ ,85.00
+ ,8.00
+ ,.00
+ ,127.00
+ ,21.50
+ ,93.00
+ ,52.00
+ ,202.00
+ ,131.00
+ ,104.00
+ ,95.00
+ ,9.00
+ ,.00
+ ,130.00
+ ,17.50
+ ,68.00
+ ,44.00
+ ,308.00
+ ,155.00
+ ,118.00
+ ,80.00
+ ,11.00
+ ,1.00
+ ,139.00
+ ,30.70
+ ,89.00
+ ,28.00
+ ,305.00
+ ,179.00
+ ,119.00
+ ,65.00
+ ,12.00
+ ,1.00
+ ,150.00
+ ,28.40
+ ,69.00
+ ,18.00
+ ,369.00
+ ,198.00
+ ,103.00
+ ,110.00
+ ,12.00
+ ,.00
+ ,146.00
+ ,25.10
+ ,67.00
+ ,24.00
+ ,312.00
+ ,194.00
+ ,128.00
+ ,70.00
+ ,13.00
+ ,1.00
+ ,155.00
+ ,31.50
+ ,68.00
+ ,23.00
+ ,413.00
+ ,225.00
+ ,136.00
+ ,95.00
+ ,13.00
+ ,.00
+ ,156.00
+ ,39.90
+ ,89.00
+ ,39.00
+ ,206.00
+ ,142.00
+ ,95.00
+ ,110.00
+ ,14.00
+ ,1.00
+ ,153.00
+ ,42.10
+ ,90.00
+ ,26.00
+ ,253.00
+ ,191.00
+ ,121.00
+ ,90.00
+ ,14.00
+ ,.00
+ ,160.00
+ ,45.60
+ ,93.00
+ ,45.00
+ ,174.00
+ ,139.00
+ ,108.00
+ ,100.00
+ ,15.00
+ ,1.00
+ ,158.00
+ ,51.20
+ ,93.00
+ ,45.00
+ ,158.00
+ ,124.00
+ ,90.00
+ ,80.00
+ ,16.00
+ ,1.00
+ ,160.00
+ ,35.90
+ ,66.00
+ ,31.00
+ ,302.00
+ ,133.00
+ ,101.00
+ ,134.00
+ ,17.00
+ ,1.00
+ ,153.00
+ ,34.80
+ ,70.00
+ ,29.00
+ ,204.00
+ ,118.00
+ ,120.00
+ ,134.00
+ ,17.00
+ ,.00
+ ,174.00
+ ,44.70
+ ,70.00
+ ,49.00
+ ,187.00
+ ,104.00
+ ,103.00
+ ,165.00
+ ,17.00
+ ,1.00
+ ,176.00
+ ,60.10
+ ,92.00
+ ,29.00
+ ,188.00
+ ,129.00
+ ,130.00
+ ,120.00
+ ,17.00
+ ,.00
+ ,171.00
+ ,42.60
+ ,69.00
+ ,38.00
+ ,172.00
+ ,130.00
+ ,103.00
+ ,130.00
+ ,19.00
+ ,1.00
+ ,156.00
+ ,37.20
+ ,72.00
+ ,21.00
+ ,216.00
+ ,119.00
+ ,81.00
+ ,85.00
+ ,19.00
+ ,.00
+ ,174.00
+ ,54.60
+ ,86.00
+ ,37.00
+ ,184.00
+ ,118.00
+ ,101.00
+ ,85.00
+ ,20.00
+ ,.00
+ ,178.00
+ ,64.00
+ ,86.00
+ ,34.00
+ ,225.00
+ ,148.00
+ ,135.00
+ ,160.00
+ ,23.00
+ ,.00
+ ,180.00
+ ,73.80
+ ,97.00
+ ,57.00
+ ,171.00
+ ,108.00
+ ,98.00
+ ,165.00
+ ,23.00
+ ,.00
+ ,175.00
+ ,51.10
+ ,71.00
+ ,33.00
+ ,224.00
+ ,131.00
+ ,113.00
+ ,95.00
+ ,23.00
+ ,.00
+ ,179.00
+ ,71.50
+ ,95.00
+ ,52.00
+ ,225.00
+ ,127.00
+ ,101.00
+ ,195.00)
+ ,dim=c(10
+ ,25)
+ ,dimnames=list(c('Age'
+ ,'Sex'
+ ,'Height'
+ ,'Weight'
+ ,'BMP'
+ ,'Fev1'
+ ,'Rv'
+ ,'Frc'
+ ,'Tlc'
+ ,'Pemax')
+ ,1:25))
>  y <- array(NA,dim=c(10,25),dimnames=list(c('Age','Sex','Height','Weight','BMP','Fev1','Rv','Frc','Tlc','Pemax'),1:25))
>  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'
> 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] "Age"
> (V2<-dimnames(y)[[1]][cat2])
[1] "Sex"
> 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  
     15.214       -1.669  

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

Terms:
                       X Residuals
Sum of Squares   17.1556  597.0844
Deg. of Freedom        1        23

Residual standard error: 5.095115
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  17.16  17.156  0.6608 0.4246
Residuals 23 597.08  25.960               
> 
> #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/1ycgc1394549501.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/2wlaj1394549501.tab") 
> postscript(file="/var/wessaorg/rcomp/tmp/3hhq51394549501.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/4vaji1394549501.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/53xbx1394549501.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/6lz9e1394549501.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/3hhq51394549501.ps tmp/3hhq51394549501.png",intern=TRUE))
character(0)
> try(system("convert tmp/4vaji1394549501.ps tmp/4vaji1394549501.png",intern=TRUE))
character(0)
> try(system("convert tmp/53xbx1394549501.ps tmp/53xbx1394549501.png",intern=TRUE))
character(0)
> try(system("convert tmp/6lz9e1394549501.ps tmp/6lz9e1394549501.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.062   0.689   4.332