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Type 'q()' to quit R. > x <- array(list(86,36,86,56,103,48,74,32,63,44,82,39,93,34,77,41,111,50,71,39,103,62,89,52,75,37,88,50,84,41,85,55,70,41,104,56,88,39,77,52,77,46,72,44,83,41,110,50,91,50,80,44,91,52,86,54,85,44,107,52,93,37,87,52,84,50,73,36,84,50,86,52,99,55,75,31,87,36,79,49,82,42,95,37,84,41,85,30,95,52,63,30,85,44,86,66,75,48,98,43,71,57,63,46,71,54,84,48,81,48,79,62,63,58,93,58,92,62,83,46,80,34,111,66,92,52,79,55,69,55,83,57,80,56,91,55,97,56,85,54,85,55,99,46,67,52,87,32,68,44,81,46,80,59,93,46,93,46,102,54,104,66,90,56,85,59,92,57,82,52,85,48,89,44,77,41,79,50,76,48,101,48,81,59,89,46,81,54,77,55,95,54,85,59,81,44,76,54,93,52,104,66,89,44,76,57,77,39,71,60,79,45,89,41,81,50,99,39,81,43,84,48,85,37,111,58,78,46,111,43,78,44,87,34,92,30,93,50,70,39,84,37,75,55,85,39,87,36,75,43,103,50,86,55,77,43,74,60,74,48,76,30,83,43,101,39,83,52,92,39,74,39,87,56,71,59,79,46,83,57,80,50,90,54,80,50,96,60,109,59,98,41,85,48,83,59,86,60,72,56,75,51),dim=c(2,151),dimnames=list(c('MVRBQIQ0','MC30VRB'),1:151)) > y <- array(NA,dim=c(2,151),dimnames=list(c('MVRBQIQ0','MC30VRB'),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] "MVRBQIQ0" > (V2<-dimnames(y)[[1]][cat2]) [1] "MC30VRB" > 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 7.900e+01 -4.000e+00 1.500e+00 7.667e+00 4.250e+00 7.400e+00 Treatment39 Treatment41 Treatment42 Treatment43 Treatment44 Treatment45 4.900e+00 3.750e+00 3.000e+00 8.500e+00 3.086e-15 -6.791e-17 Treatment46 Treatment48 Treatment49 Treatment50 Treatment51 Treatment52 4.500e+00 5.800e+00 1.598e-15 1.133e+01 -4.000e+00 8.417e+00 Treatment54 Treatment55 Treatment56 Treatment57 Treatment58 Treatment59 6.750e+00 3.889e+00 9.000e+00 2.000e+00 1.000e+01 5.857e+00 Treatment60 Treatment62 Treatment66 2.750e+00 1.233e+01 2.225e+01 > (aov.xdf<-aov(lmxdf) ) Call: aov(formula = lmxdf) Terms: Treatment Residuals Sum of Squares 2834.351 14092.113 Deg. of Freedom 26 124 Residual standard error: 10.66049 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 2834.4 109.01 0.9592 0.5273 Residuals 124 14092.1 113.65 > > #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/16ykq1322479050.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/24uxj1322479050.tab") > postscript(file="/var/wessaorg/rcomp/tmp/3d4n21322479050.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/48hew1322479050.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/5h4a21322479050.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/6q26z1322479050.tab") + } > library(car) Loading required package: MASS Loading required package: nnet Loading required package: survival Loading required package: splines > 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/7jkq71322479050.tab") > > try(system("convert tmp/3d4n21322479050.ps tmp/3d4n21322479050.png",intern=TRUE)) character(0) > try(system("convert tmp/48hew1322479050.ps tmp/48hew1322479050.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.499 0.154 3.648