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Type 'q()' to quit R. > x <- array(list(6,36,8,56,8,48,7,32,5,44,7,39,8,34,9,41,9,50,3,39,9,62,7,52,9,37,8,50,6,41,7,55,8,41,9,56,7,39,6,52,8,46,7,44,8,41,9,50,9,50,7,44,4,52,7,54,7,44,9,52,7,37,9,52,10,50,5,36,6,50,9,52,9,55,8,31,6,36,6,49,5,42,8,37,8,41,5,30,6,52,9,30,4,44,8,66,9,48,7,43,7,57,6,46,9,54,9,48,8,48,6,62,10,58,8,58,7,62,8,46,3,34,8,66,10,52,7,55,5,55,10,57,5,56,8,55,9,56,6,54,9,55,8,46,5,52,8,32,3,44,7,46,8,59,10,46,9,46,10,54,9,66,8,56,8,59,8,57,9,52,4,48,6,44,7,41,4,50,9,48,7,48,8,59,8,46,7,54,7,55,9,54,8,59,8,44,9,54,9,52,10,66,7,44,8,57,5,39,9,60,8,45,7,41,8,50,8,39,7,43,6,48,7,37,7,58,6,46,6,43,7,44,9,34,6,30,10,50,4,39,8,37,7,55,5,39,9,36,8,43,9,50,8,55,8,43,9,60,8,48,9,30,7,43,6,39,8,52,6,39,5,39,3,56,6,59,8,46,7,57,8,50,6,54,9,50,9,60,10,59,7,41,5,48,8,59,9,60,8,56,4,51),dim=c(2,151),dimnames=list(c('MC30VRB','MOMAGE'),1:151)) > y <- array(NA,dim=c(2,151),dimnames=list(c('MC30VRB','MOMAGE'),1:151)) > 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) > x1<-as.numeric(x[,cat1]) > f1<-as.character(x[,cat2]) > xdf<-data.frame(x1,f1) > (V1<-dimnames(y)[[1]][cat1]) [1] "MC30VRB" > (V2<-dimnames(y)[[1]][cat2]) [1] "MOMAGE" > 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) Treatment31 Treatment32 Treatment34 Treatment36 Treatment37 7.25000 0.75000 0.25000 -0.58333 -0.75000 0.55000 Treatment39 Treatment41 Treatment42 Treatment43 Treatment44 Treatment45 -1.65000 0.25000 -2.25000 -0.08333 -1.15000 0.75000 Treatment46 Treatment48 Treatment49 Treatment50 Treatment51 Treatment52 0.55000 0.05000 -1.25000 1.00000 -3.25000 0.33333 Treatment54 Treatment55 Treatment56 Treatment57 Treatment58 Treatment59 0.62500 0.19444 -0.10714 0.75000 1.08333 0.75000 Treatment60 Treatment62 Treatment66 1.75000 0.08333 1.50000 > (aov.xdf<-aov(lmxdf) ) Call: aov(formula = lmxdf) Terms: Treatment Residuals Sum of Squares 112.9675 298.7544 Deg. of Freedom 26 124 Residual standard error: 1.552195 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 26 112.97 4.3449 1.8034 0.01731 * Residuals 124 298.75 2.4093 --- 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() > 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/wessaorg/rcomp/tmp/15ker1351774327.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/wessaorg/rcomp/tmp/29qgm1351774328.tab") > postscript(file="/var/wessaorg/rcomp/tmp/3l5zm1351774328.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){ + thsd<-TukeyHSD(aov.xdf) + postscript(file="/var/wessaorg/rcomp/tmp/41p7g1351774328.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/wessaorg/rcomp/tmp/5blx81351774328.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/wessaorg/rcomp/tmp/63bw81351774328.tab") + } > library(car) Loading required package: MASS Loading required package: nnet > lt.lmxdf<-levene.test(lmxdf) 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,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/wessaorg/rcomp/tmp/71und1351774328.tab") > > try(system("convert tmp/3l5zm1351774328.ps tmp/3l5zm1351774328.png",intern=TRUE)) character(0) > try(system("convert tmp/41p7g1351774328.ps tmp/41p7g1351774328.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 5.278 0.298 5.581