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Type 'q()' to quit R. > x <- array(list(2.46459695 + ,'gp1' + ,'s500' + ,1.74291939 + ,'gp1' + ,'s500' + ,4.08496732 + ,'gp1' + ,'s500' + ,2.069716776 + ,'gp1' + ,'s500' + ,2.723311547 + ,'gp1' + ,'s500' + ,1.770152505 + ,'gp1' + ,'s500' + ,3.06372549 + ,'gp1' + ,'s500' + ,1.838235294 + ,'gp1' + ,'s500' + ,3.118191721 + ,'gp1' + ,'s500' + ,3.676470588 + ,'gp1' + ,'s500' + ,3.349673203 + ,'gp1' + ,'s500' + ,5.215141612 + ,'gp1' + ,'s500' + ,5.065359477 + ,'gp1' + ,'s500' + ,3.036492375 + ,'gp1' + ,'s500' + ,1.217351309 + ,'gp1' + ,'s1000' + ,1.067303052 + ,'gp1' + ,'s1000' + ,2.32310894 + ,'gp1' + ,'s1000' + ,3.167601641 + ,'gp1' + ,'s1000' + ,1.345910242 + ,'gp1' + ,'s1000' + ,1.251658825 + ,'gp1' + ,'s1000' + ,2.679002292 + ,'gp1' + ,'s1000' + ,1.971739655 + ,'gp1' + ,'s1000' + ,3.317649897 + ,'gp1' + ,'s1000' + ,5.794954156 + ,'gp1' + ,'s1000' + ,2.631876583 + ,'gp1' + ,'s1000' + ,4.05054892 + ,'gp1' + ,'s1000' + ,2.910483774 + ,'gp1' + ,'s1000' + ,2.61038726 + ,'gp1' + ,'s1000' + ,3.090958606 + ,'gp1' + ,'l500' + ,1.647603486 + ,'gp1' + ,'l500' + ,3.281590414 + ,'gp1' + ,'l500' + ,2.069716776 + ,'gp1' + ,'l500' + ,0.953159041 + ,'gp1' + ,'l500' + ,4.180283224 + ,'gp1' + ,'l500' + ,2.137799564 + ,'gp1' + ,'l500' + ,2.246732026 + ,'gp1' + ,'l500' + ,5.569172113 + ,'gp1' + ,'l500' + ,2.900326797 + ,'gp1' + ,'l500' + ,5.569172113 + ,'gp1' + ,'l500' + ,4.547930283 + ,'gp1' + ,'l500' + ,1.906318083 + ,'gp1' + ,'l500' + ,3.90795207 + ,'gp1' + ,'l500' + ,1.740258173 + ,'gp1' + ,'l1000' + ,1.903124623 + ,'gp1' + ,'l1000' + ,3.270524189 + ,'gp1' + ,'l1000' + ,3.167601641 + ,'gp1' + ,'l1000' + ,2.794743033 + ,'gp1' + ,'l1000' + ,2.228857522 + ,'gp1' + ,'l1000' + ,2.910483774 + ,'gp1' + ,'l1000' + ,2.318961877 + ,'gp1' + ,'l1000' + ,2.156095428 + ,'gp1' + ,'l1000' + ,4.680525395 + ,'gp1' + ,'l1000' + ,2.631876583 + ,'gp1' + ,'l1000' + ,0.44147364 + ,'gp1' + ,'l1000' + ,1.684461334 + ,'gp1' + ,'l1000' + ,1.088792375 + ,'gp1' + ,'l1000' + ,2.805010893 + ,'gp2' + ,'s500' + ,2.46459695 + ,'gp2' + ,'s500' + ,3.581154684 + ,'gp2' + ,'s500' + ,3.880718954 + ,'gp2' + ,'s500' + ,2.46459695 + ,'gp2' + ,'s500' + ,1.416122004 + ,'gp2' + ,'s500' + ,4.9291939 + ,'gp2' + ,'s500' + ,1.348039216 + ,'gp2' + ,'s500' + ,2.001633987 + ,'gp2' + ,'s500' + ,3.308823529 + ,'gp2' + ,'s500' + ,3.159041394 + ,'gp2' + ,'s500' + ,3.159041394 + ,'gp2' + ,'s500' + ,5.324074074 + ,'gp2' + ,'s500' + ,1.416122004 + ,'gp2' + ,'s500' + ,1.067303052 + ,'gp2' + ,'s1000' + ,2.391723972 + ,'gp2' + ,'s1000' + ,3.831885632 + ,'gp2' + ,'s1000' + ,4.706538786 + ,'gp2' + ,'s1000' + ,2.400395102 + ,'gp2' + ,'s1000' + ,1.483140306 + ,'gp2' + ,'s1000' + ,3.06053203 + ,'gp2' + ,'s1000' + ,2.413213295 + ,'gp2' + ,'s1000' + ,1.971739655 + ,'gp2' + ,'s1000' + ,4.191926047 + ,'gp2' + ,'s1000' + ,2.413213295 + ,'gp2' + ,'s1000' + ,1.148736277 + ,'gp2' + ,'s1000' + ,3.249034865 + ,'gp2' + ,'s1000' + ,2.366087586 + ,'gp2' + ,'s1000' + ,2.791394336 + ,'gp2' + ,'l500' + ,1.974400871 + ,'gp2' + ,'l500' + ,3.581154684 + ,'gp2' + ,'l500' + ,3.880718954 + ,'gp2' + ,'l500' + ,3.390522876 + ,'gp2' + ,'l500' + ,4.044117647 + ,'gp2' + ,'l500' + ,4.9291939 + ,'gp2' + ,'l500' + ,2.369281046 + ,'gp2' + ,'l500' + ,2.137799564 + ,'gp2' + ,'l500' + ,5.160675381 + ,'gp2' + ,'l500' + ,2.369281046 + ,'gp2' + ,'l500' + ,1.674836601 + ,'gp2' + ,'l500' + ,4.833877996 + ,'gp2' + ,'l500' + ,0.558278867 + ,'gp2' + ,'l500' + ,1.298784534 + ,'gp2' + ,'l1000' + ,1.971739655 + ,'gp2' + ,'l1000' + ,4.76195862 + ,'gp2' + ,'l1000' + ,3.711997828 + ,'gp2' + ,'l1000' + ,1.302931596 + ,'gp2' + ,'l1000' + ,0.801514055 + ,'gp2' + ,'l1000' + ,3.06053203 + ,'gp2' + ,'l1000' + ,2.293325492 + ,'gp2' + ,'l1000' + ,0.99868802 + ,'gp2' + ,'l1000' + ,3.04318977 + ,'gp2' + ,'l1000' + ,2.241675715 + ,'gp2' + ,'l1000' + ,1.483140306 + ,'gp2' + ,'l1000' + ,3.283342381 + ,'gp2' + ,'l1000' + ,2.366087586 + ,'gp2' + ,'l1000') + ,dim=c(3 + ,112) + ,dimnames=list(c('accuracy' + ,'group' + ,'cond') + ,1:112)) > y <- array(NA,dim=c(3,112),dimnames=list(c('accuracy','group','cond'),1:112)) > 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) > par4 = 'TRUE' > par3 = '3' > par2 = '2' > par1 = '1' > ylab = 'Y-Axis Title' > xlab = 'X-Axis Title' > main = 'Chart Title' > cat1 <- as.numeric(par1) # > cat2<- as.numeric(par2) # > cat3 <- as.numeric(par3) > intercept<-as.logical(par4) > x <- t(x) > x1<-as.numeric(x[,cat1]) > f1<-as.character(x[,cat2]) > f2 <- as.character(x[,cat3]) > xdf<-data.frame(x1,f1, f2) > (V1<-dimnames(y)[[1]][cat1]) [1] "accuracy" > (V2<-dimnames(y)[[1]][cat2]) [1] "group" > (V3 <-dimnames(y)[[1]][cat3]) [1] "cond" > mynames<- c(V1, V2, V3) > xdf2<-xdf > names(xdf2)<-mynames > names(xdf)<-c('R', 'A', 'B') > mynames <- c(V1, V2, V3) > if(intercept == FALSE)eval (substitute(lmout<-lm(xdf$R ~ xdf$A * xdf$B- 1, data = xdf), list(xdf=quote(xdf2),R=mynames[1],A=mynames[2],B=mynames[3]) ))else eval(substitute(lmout<-lm(xdf$R ~ xdf$A * xdf$B, data = xdf), list(xdf=quote(xdf2),R=mynames[1],A=mynames[2],B=mynames[3]) )) > oldnames<-names(lmout$coeff) > newnames<-gsub('xdf2$', '', oldnames) > (names(lmout$coeff)<-newnames) [1] "(Intercept)" "xdf2$groupgp2" [3] "xdf2$condl500" "xdf2$conds1000" [5] "xdf2$conds500" "xdf2$groupgp2:xdf2$condl500" [7] "xdf2$groupgp2:xdf2$conds1000" "xdf2$groupgp2:xdf2$conds500" > (names(lmout$coefficients)<-newnames) [1] "(Intercept)" "xdf2$groupgp2" [3] "xdf2$condl500" "xdf2$conds1000" [5] "xdf2$conds500" "xdf2$groupgp2:xdf2$condl500" [7] "xdf2$groupgp2:xdf2$conds1000" "xdf2$groupgp2:xdf2$conds500" > > #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,'ANOVA Model', length(lmout$coefficients)+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > callstr<-gsub('xdf2$', '',as.character(lmout$call$formula)) > callstr<-paste(callstr[2], callstr[1], callstr[3]) > a<-table.element(a,callstr ,length(lmout$coefficients)+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'names',,TRUE) > for(i in 1:length(lmout$coefficients)){ + a<-table.element(a, names(lmout$coefficients[i]),,FALSE) + } > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'means',,TRUE) > for(i in 1:length(lmout$coefficients)){ + a<-table.element(a, signif(lmout$coefficients[i], digits=5),,FALSE) + } > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/html/freestat/rcomp/tmp/10vrf1303233749.tab") > (aov.xdf<-aov(lmout) ) Call: aov(formula = lmout) Terms: xdf2$group xdf2$cond xdf2$group:xdf2$cond Residuals Sum of Squares 0.04793 11.18925 0.10309 154.97695 Deg. of Freedom 1 3 3 104 Residual standard error: 1.220722 Estimated effects may be unbalanced > (anova.xdf<-anova(lmout) ) Analysis of Variance Table Response: xdf2$accuracy Df Sum Sq Mean Sq F value Pr(>F) xdf2$group 1 0.048 0.0479 0.0322 0.85802 xdf2$cond 3 11.189 3.7298 2.5029 0.06336 . xdf2$group:xdf2$cond 3 0.103 0.0344 0.0231 0.99523 Residuals 104 154.977 1.4902 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 > rownames(anova.xdf)<-gsub('xdf2$','',rownames(anova.xdf)) > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'ANOVA Statistics', 5+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, ' ',,TRUE) > a<-table.element(a, 'Df',,FALSE) > a<-table.element(a, 'Sum Sq',,FALSE) > a<-table.element(a, 'Mean Sq',,FALSE) > a<-table.element(a, 'F value',,FALSE) > a<-table.element(a, 'Pr(>F)',,FALSE) > a<-table.row.end(a) > for(i in 1 : length(rownames(anova.xdf))-1){ + a<-table.row.start(a) + a<-table.element(a,rownames(anova.xdf)[i] ,,TRUE) + a<-table.element(a, anova.xdf$Df[1],,FALSE) + a<-table.element(a, signif(anova.xdf$'Sum Sq'[i], digits=5),,FALSE) + a<-table.element(a, signif(anova.xdf$'Mean Sq'[i], digits=5),,FALSE) + a<-table.element(a, signif(anova.xdf$'F value'[i], digits=5),,FALSE) + a<-table.element(a, signif(anova.xdf$'Pr(>F)'[i], digits=5),,FALSE) + a<-table.row.end(a) + } > a<-table.row.start(a) > a<-table.element(a, 'Residuals',,TRUE) > a<-table.element(a, anova.xdf$'Df'[i+1],,FALSE) > a<-table.element(a, signif(anova.xdf$'Sum Sq'[i+1], digits=5),,FALSE) > a<-table.element(a, signif(anova.xdf$'Mean Sq'[i+1], digits=5),,FALSE) > a<-table.element(a, ' ',,FALSE) > a<-table.element(a, ' ',,FALSE) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/html/freestat/rcomp/tmp/238er1303233749.tab") > postscript(file="/var/www/html/freestat/rcomp/tmp/3vgc11303233749.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > boxplot(R ~ A + B, data=xdf, xlab=V2, ylab=V1, main='Boxplots of ANOVA Groups') > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/4lr4r1303233749.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > xdf2 <- xdf # to preserve xdf make copy for function > names(xdf2) <- c(V1, V2, V3) > plot.design(xdf2, main='Design Plot of Group Means') > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/5bntt1303233749.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > interaction.plot(xdf$A, xdf$B, xdf$R, xlab=V2, ylab=V1, trace.label=V3, main='Possible Interactions Between Anova Groups') > dev.off() null device 1 > if(intercept==TRUE){ + thsd<-TukeyHSD(aov.xdf) + names(thsd) <- c(V2, V3, paste(V2, ':', V3, sep='')) + postscript(file="/var/www/html/freestat/rcomp/tmp/6f33b1303233749.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) + layout(matrix(c(0,0,1,2,1,2,0,0,3,3,3,3), 2,6)) + plot(thsd, las=1) + dev.off() + } null device 1 > if(intercept==TRUE){ + ntables<-length(names(thsd)) + 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(nt in 1:ntables){ + for(i in 1:length(rownames(thsd[[nt]]))){ + a<-table.row.start(a) + a<-table.element(a,rownames(thsd[[nt]])[i], 1, TRUE) + for(j in 1:4){ + a<-table.element(a,signif(thsd[[nt]][i,j], digits=5), 1, FALSE) + } + a<-table.row.end(a) + } + } # end nt + a<-table.end(a) + table.save(a,file="/var/www/html/freestat/rcomp/tmp/7kasi1303233749.tab") + }#end if hsd tables > 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/www/html/freestat/rcomp/tmp/8pv6q1303233749.tab") + } > library(car) Loading required package: MASS Loading required package: nnet Loading required package: survival Loading required package: splines > lt.lmxdf<-levene.test(lmout) Warning message: 'levene.test' is deprecated. Use 'leveneTest' instead. See help("Deprecated") and help("car-deprecated"). > 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,signif(lt.lmxdf[[i]][1], digits=5), 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/www/html/freestat/rcomp/tmp/9y7ba1303233749.tab") > > try(system("convert tmp/3vgc11303233749.ps tmp/3vgc11303233749.png",intern=TRUE)) character(0) > try(system("convert tmp/4lr4r1303233749.ps tmp/4lr4r1303233749.png",intern=TRUE)) character(0) > try(system("convert tmp/5bntt1303233749.ps tmp/5bntt1303233749.png",intern=TRUE)) character(0) > try(system("convert tmp/6f33b1303233749.ps tmp/6f33b1303233749.png",intern=TRUE)) GPL Ghostscript 8.63: Unrecoverable error, exit code 1 convert: Postscript delegate failed `tmp/6f33b1303233749.ps': No such file or directory. convert: missing an image filename `tmp/6f33b1303233749.png'. [1] "Error: /rangecheck in --setdash--" [2] "Operand stack:" [3] " --nostringval-- 0" [4] "Execution stack:" [5] " %interp_exit .runexec2 --nostringval-- --nostringval-- --nostringval-- 2 %stopped_push --nostringval-- --nostringval-- --nostringval-- false 1 %stopped_push 1905 1 3 %oparray_pop 1904 1 3 %oparray_pop --nostringval-- 1888 1 3 %oparray_pop 1771 1 3 %oparray_pop --nostringval-- %errorexec_pop .runexec2 --nostringval-- --nostringval-- --nostringval-- 2 %stopped_push --nostringval-- 1772 2 3 %oparray_pop" [6] "Dictionary stack:" [7] " --dict:1156/1684(ro)(G)-- --dict:0/20(G)-- --dict:98/200(L)--" [8] "Current allocation mode is local" [9] "Current file position is 3131" Warning message: running command 'convert tmp/6f33b1303233749.ps tmp/6f33b1303233749.png' had status 1 > > > proc.time() user system elapsed 1.667 0.132 2.054