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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Type 'demo()' for some demos, 'help()' for on-line help, or
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Type 'q()' to quit R.

> x <- array(list(695
+ ,'InvFamous'
+ ,811
+ ,'InvFamous'
+ ,768
+ ,'InvFamous'
+ ,1069
+ ,'InvFamous'
+ ,661
+ ,'InvFamous'
+ ,737
+ ,'InvFamous'
+ ,549
+ ,'InvFamous'
+ ,632
+ ,'InvFamous'
+ ,768
+ ,'InvFamous'
+ ,1301
+ ,'InvFamous'
+ ,769
+ ,'InvFamous'
+ ,608
+ ,'InvFamous'
+ ,598
+ ,'InvFamous'
+ ,695
+ ,'InvFamous'
+ ,848
+ ,'InvFamous'
+ ,596
+ ,'InvFamous'
+ ,793
+ ,'InvFamous'
+ ,1280
+ ,'InvFamous'
+ ,949
+ ,'InvFamous'
+ ,820
+ ,'InvFamous'
+ ,806
+ ,'InvFamous'
+ ,919
+ ,'InvFamous'
+ ,910
+ ,'InvFamous'
+ ,534
+ ,'InvFamous'
+ ,564
+ ,'InvFamous'
+ ,827
+ ,'InvFamous'
+ ,441
+ ,'InvFamous'
+ ,602
+ ,'InvFamous'
+ ,744
+ ,'InvFamous'
+ ,1249
+ ,'InvFamous'
+ ,808
+ ,'InvFamous'
+ ,4060
+ ,'InvFamous'
+ ,996
+ ,'InvFamous'
+ ,814
+ ,'InvFamous'
+ ,1608
+ ,'InvFamous'
+ ,1167
+ ,'InvFamous'
+ ,1476
+ ,'InvNonfam'
+ ,839
+ ,'InvNonfam'
+ ,1246
+ ,'InvNonfam'
+ ,804
+ ,'InvNonfam'
+ ,737
+ ,'InvNonfam'
+ ,420
+ ,'InvNonfam'
+ ,606
+ ,'InvNonfam'
+ ,395
+ ,'InvNonfam'
+ ,1011
+ ,'InvNonfam'
+ ,579
+ ,'InvNonfam'
+ ,675
+ ,'InvNonfam'
+ ,784
+ ,'InvNonfam'
+ ,1781
+ ,'InvNonfam'
+ ,1687
+ ,'InvNonfam'
+ ,1142
+ ,'InvNonfam'
+ ,636
+ ,'InvNonfam'
+ ,948
+ ,'InvNonfam'
+ ,874
+ ,'InvNonfam'
+ ,1744
+ ,'InvNonfam'
+ ,1239
+ ,'InvNonfam'
+ ,1193
+ ,'InvNonfam'
+ ,1073
+ ,'InvNonfam'
+ ,1811
+ ,'InvNonfam'
+ ,1152
+ ,'InvNonfam'
+ ,1110
+ ,'InvNonfam'
+ ,1776
+ ,'InvNonfam'
+ ,903
+ ,'InvNonfam'
+ ,770
+ ,'InvNonfam'
+ ,1396
+ ,'InvNonfam'
+ ,948
+ ,'InvNonfam'
+ ,1049
+ ,'InvNonfam'
+ ,897
+ ,'InvNonfam'
+ ,372
+ ,'InvNonfam'
+ ,316
+ ,'InvNonfam'
+ ,848
+ ,'InvNonfam'
+ ,2800
+ ,'InvNonfam'
+ ,2301
+ ,'InvNonfam'
+ ,1931
+ ,'InvNonfam'
+ ,4196
+ ,'InvNonfam'
+ ,1567
+ ,'InvNonfam'
+ ,2016
+ ,'InvNonfam'
+ ,1290
+ ,'InvNonfam'
+ ,1006
+ ,'InvNonfam'
+ ,589
+ ,'InvNonfam'
+ ,807
+ ,'InvNonfam'
+ ,825
+ ,'UpFam'
+ ,737
+ ,'UpFam'
+ ,785
+ ,'UpFam'
+ ,838
+ ,'UpFam'
+ ,634
+ ,'UpFam'
+ ,734
+ ,'UpFam'
+ ,519
+ ,'UpFam'
+ ,484
+ ,'UpFam'
+ ,417
+ ,'UpFam'
+ ,716
+ ,'UpFam'
+ ,802
+ ,'UpFam'
+ ,600
+ ,'UpFam'
+ ,1500
+ ,'UpFam'
+ ,657
+ ,'UpFam'
+ ,2527
+ ,'UpFam'
+ ,749
+ ,'UpFam'
+ ,867
+ ,'UpFam'
+ ,676
+ ,'UpFam'
+ ,612
+ ,'UpFam'
+ ,672
+ ,'UpFam'
+ ,614
+ ,'UpFam'
+ ,909
+ ,'UpFam'
+ ,717
+ ,'UpFam'
+ ,638
+ ,'UpFam'
+ ,888
+ ,'UpFam'
+ ,609
+ ,'UpFam'
+ ,536
+ ,'UpFam'
+ ,577
+ ,'UpFam'
+ ,610
+ ,'UpFam'
+ ,793
+ ,'UpFam'
+ ,567
+ ,'UpFam'
+ ,748
+ ,'UpFam'
+ ,651
+ ,'UpFam'
+ ,437
+ ,'UpFam'
+ ,738
+ ,'UpFam'
+ ,1392
+ ,'UpFam'
+ ,1325
+ ,'UpFam'
+ ,857
+ ,'UpFam'
+ ,728
+ ,'UpFam'
+ ,1315
+ ,'UpFam'
+ ,993
+ ,'UpFam'
+ ,820
+ ,'UpFam'
+ ,957
+ ,'UpFam'
+ ,809
+ ,'UpFam'
+ ,721
+ ,'UpFam'
+ ,1744
+ ,'UpNonfam'
+ ,588
+ ,'UpNonfam'
+ ,899
+ ,'UpNonfam'
+ ,921
+ ,'UpNonfam'
+ ,680
+ ,'UpNonfam'
+ ,778
+ ,'UpNonfam'
+ ,515
+ ,'UpNonfam'
+ ,497
+ ,'UpNonfam'
+ ,665
+ ,'UpNonfam'
+ ,568
+ ,'UpNonfam'
+ ,674
+ ,'UpNonfam'
+ ,622
+ ,'UpNonfam'
+ ,1221
+ ,'UpNonfam'
+ ,946
+ ,'UpNonfam'
+ ,1220
+ ,'UpNonfam'
+ ,693
+ ,'UpNonfam'
+ ,1239
+ ,'UpNonfam'
+ ,1219
+ ,'UpNonfam'
+ ,1476
+ ,'UpNonfam'
+ ,1165
+ ,'UpNonfam'
+ ,847
+ ,'UpNonfam'
+ ,676
+ ,'UpNonfam'
+ ,1185
+ ,'UpNonfam'
+ ,945
+ ,'UpNonfam'
+ ,785
+ ,'UpNonfam'
+ ,629
+ ,'UpNonfam'
+ ,831
+ ,'UpNonfam'
+ ,890
+ ,'UpNonfam'
+ ,1469
+ ,'UpNonfam'
+ ,1115
+ ,'UpNonfam'
+ ,413
+ ,'UpNonfam'
+ ,566
+ ,'UpNonfam'
+ ,837
+ ,'UpNonfam'
+ ,540
+ ,'UpNonfam'
+ ,514
+ ,'UpNonfam'
+ ,1324
+ ,'UpNonfam'
+ ,1236
+ ,'UpNonfam'
+ ,1784
+ ,'UpNonfam'
+ ,1359
+ ,'UpNonfam'
+ ,706
+ ,'UpNonfam'
+ ,998
+ ,'UpNonfam'
+ ,1047
+ ,'UpNonfam'
+ ,957
+ ,'UpNonfam'
+ ,929
+ ,'UpNonfam'
+ ,988
+ ,'UpNonfam')
+ ,dim=c(2
+ ,171)
+ ,dimnames=list(c('ReactionTime'
+ ,'Face')
+ ,1:171))
>  y <- array(NA,dim=c(2,171),dimnames=list(c('ReactionTime','Face'),1:171))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
There were 50 or more warnings (use warnings() to see the first 50)
> par3 = 'FALSE'
> par2 = '2'
> par1 = '1'
> ylab = 'Y Variable Name'
> xlab = 'X Variable Name'
> main = 'Title Goes Here'
> par3 <- 'TRUE'
> par2 <- '2'
> par1 <- '1'
> cat1 <- as.numeric(par1) #
> cat2<- as.numeric(par2) #
> intercept<-as.logical(par3)
> x <- t(x)
> x1<-as.numeric(x[,cat1])
> f1<-as.character(x[,cat2])
> xdf<-data.frame(x1,f1)
> (V1<-dimnames(y)[[1]][cat1])
[1] "ReactionTime"
> (V2<-dimnames(y)[[1]][cat2])
[1] "Face"
> names(xdf)<-c('Response', 'Treatment')
> if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, data = xdf) )

Call:
lm(formula = Response ~ Treatment, data = xdf)

Coefficients:
       (Intercept)  TreatmentInvNonfam      TreatmentUpFam   TreatmentUpNonfam  
            916.56              277.67             -109.89               14.56  

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

Terms:
                Treatment Residuals
Sum of Squares    3628683  44555083
Deg. of Freedom         3       167

Residual standard error: 516.5239 
Estimated effects may be unbalanced
> (anova.xdf<-anova(lmxdf) )
Analysis of Variance Table

Response: Response
           Df   Sum Sq Mean Sq F value   Pr(>F)   
Treatment   3  3628683 1209561  4.5336 0.004396 **
Residuals 167 44555083  266797                    
---
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()
> a<-table.row.start(a)
> a<-table.element(a,'ANOVA Model', length(lmxdf$coefficients)+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, paste(V1, ' ~ ', V2), length(lmxdf$coefficients)+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'means',,TRUE)
> for(i in 1:length(lmxdf$coefficients)){
+ a<-table.element(a, round(lmxdf$coefficients[i], digits=3),,FALSE)
+ }
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/1l4xa1362436602.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, ' ',,TRUE)
> a<-table.element(a, 'Df',,FALSE)
> a<-table.element(a, 'Sum Sq',,FALSE)
> a<-table.element(a, 'Mean Sq',,FALSE)
> a<-table.element(a, 'F value',,FALSE)
> a<-table.element(a, 'Pr(>F)',,FALSE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, V2,,TRUE)
> a<-table.element(a, anova.xdf$Df[1],,FALSE)
> a<-table.element(a, round(anova.xdf$'Sum Sq'[1], digits=3),,FALSE)
> a<-table.element(a, round(anova.xdf$'Mean Sq'[1], digits=3),,FALSE)
> a<-table.element(a, round(anova.xdf$'F value'[1], digits=3),,FALSE)
> a<-table.element(a, round(anova.xdf$'Pr(>F)'[1], digits=3),,FALSE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Residuals',,TRUE)
> a<-table.element(a, anova.xdf$Df[2],,FALSE)
> a<-table.element(a, round(anova.xdf$'Sum Sq'[2], digits=3),,FALSE)
> a<-table.element(a, round(anova.xdf$'Mean Sq'[2], digits=3),,FALSE)
> a<-table.element(a, ' ',,FALSE)
> a<-table.element(a, ' ',,FALSE)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/2c2ug1362436602.tab") 
> postscript(file="/var/fisher/rcomp/tmp/3s2ky1362436602.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> boxplot(Response ~ Treatment, data=xdf, xlab=V2, ylab=V1)
> dev.off()
null device 
          1 
> if(intercept==TRUE){
+ 'Tukey Plot'
+ thsd<-TukeyHSD(aov.xdf)
+ postscript(file="/var/fisher/rcomp/tmp/4mexe1362436602.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ plot(thsd)
+ dev.off()
+ }
null device 
          1 
> if(intercept==TRUE){
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Tukey Honest Significant Difference Comparisons', 5,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a, ' ', 1, TRUE)
+ for(i in 1:4){
+ a<-table.element(a,colnames(thsd[[1]])[i], 1, TRUE)
+ }
+ a<-table.row.end(a)
+ for(i in 1:length(rownames(thsd[[1]]))){
+ a<-table.row.start(a)
+ a<-table.element(a,rownames(thsd[[1]])[i], 1, TRUE)
+ for(j in 1:4){
+ a<-table.element(a,round(thsd[[1]][i,j], digits=3), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/fisher/rcomp/tmp/5cnm41362436602.tab") 
+ }
> if(intercept==FALSE){
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'TukeyHSD Message', 1,TRUE)
+ a<-table.row.end(a)
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Must Include Intercept to use Tukey Test ', 1, FALSE)
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/fisher/rcomp/tmp/6l6jh1362436602.tab") 
+ }
> library(car)
Loading required package: MASS
Loading required package: nnet
> lt.lmxdf<-leveneTest(lmxdf)
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Levenes Test for Homogeneity of Variance', 4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ', 1, TRUE)
> for (i in 1:3){
+ a<-table.element(a,names(lt.lmxdf)[i], 1, FALSE)
+ }
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Group', 1, TRUE)
> for (i in 1:3){
+ a<-table.element(a,round(lt.lmxdf[[i]][1], digits=3), 1, FALSE)
+ }
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ', 1, TRUE)
> a<-table.element(a,lt.lmxdf[[1]][2], 1, FALSE)
> a<-table.element(a,' ', 1, FALSE)
> a<-table.element(a,' ', 1, FALSE)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/76ntq1362436602.tab") 
> 
> try(system("convert tmp/3s2ky1362436602.ps tmp/3s2ky1362436602.png",intern=TRUE))
character(0)
> try(system("convert tmp/4mexe1362436602.ps tmp/4mexe1362436602.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.502   0.216   1.695