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Type 'q()' to quit R. > x <- array(list(94,2,90,2,73,3,68,1,80,1,86,2,86,2,91,1,79,3,96,1,92,3,72,2,96,1,70,2,86,2,87,2,88,1,79,3,90,2,95,1,85,1,90,1,115,2,84,3,79,2,94,1,97,2,86,2,111,2,87,3,98,2,87,2,68,2,88,1,82,2,111,2,75,3,94,1,95,2,80,1,95,2,68,2,94,2,88,2,84,3,101,3,98,2,78,2,109,1,102,3,81,1,97,1,75,1,97,2,101,2,101,2,95,1,95,2,95,2,90,2,107,2,92,3,86,2,70,1,95,1,96,2,91,1,87,2,92,3,97,2,102,2,91,3,68,1,88,2,97,1,90,2,101,1,94,2,101,2,109,3,100,3,103,2,94,2,97,2,85,2,75,2,77,2,87,1,78,1,108,1,97,3,105,2,106,2,107,2,95,2,107,1,115,2,101,2,85,2,90,1,115,2,95,3,97,2,112,1,97,1,77,1,90,1,94,2,103,2,77,2,98,2,90,2,111,2,77,3,88,1,75,3,92,1,78,2,106,2,80,2,87,1,92,2,111,3,86,3,85,2,90,2,101,1,94,3,86,2,86,1,90,1,75,1,86,1,91,2,97,3,91,2,70,2,98,1,96,2,95,1,100,1,95,2,97,1,97,2,92,1,115,2,88,3,87,3,100,2,98,2,102,2,96,2),dim=c(2,152),dimnames=list(c('WISCRY7V','MVRBIQ'),1:152)) > y <- array(NA,dim=c(2,152),dimnames=list(c('WISCRY7V','MVRBIQ'),1:152)) > 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' > par3 <- 'TRUE' > par2 <- '2' > par1 <- '1' > #'GNU S' R Code compiled by R2WASP v. 1.2.291 () > #Author: aston2 > #To cite this work: Ian E. Holliday, 2012, One-Way-Between-Groups ANOVA (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_One%20Factor%20ANOVA.wasp/ > #Source of accompanying publication: > # > cat1 <- as.numeric(par1) # > cat2<- as.numeric(par2) # > intercept<-as.logical(par3) > x <- t(x) > x1<-as.numeric(x[,cat1]) > f1<-as.character(x[,cat2]) > xdf<-data.frame(x1,f1) > (V1<-dimnames(y)[[1]][cat1]) [1] "WISCRY7V" > (V2<-dimnames(y)[[1]][cat2]) [1] "MVRBIQ" > names(xdf)<-c('Response', 'Treatment') > if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, data = xdf) ) Call: lm(formula = Response ~ Treatment, data = xdf) Coefficients: (Intercept) Treatment2 Treatment3 90.3696 2.6675 -0.4896 > (aov.xdf<-aov(lmxdf) ) Call: aov(formula = lmxdf) Terms: Treatment Residuals Sum of Squares 309.017 17274.246 Deg. of Freedom 2 149 Residual standard error: 10.76729 Estimated effects may be unbalanced > (anova.xdf<-anova(lmxdf) ) Analysis of Variance Table Response: Response Df Sum Sq Mean Sq F value Pr(>F) Treatment 2 309 154.51 1.3327 0.2669 Residuals 149 17274 115.94 > > #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/fisher/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'ANOVA Model', length(lmxdf$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$coefficients[i], digits=3),,FALSE) + } > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/fisher/rcomp/tmp/1ppuz1352121141.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'ANOVA Statistics', 5+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, ' ',,TRUE) > a<-table.element(a, 'Df',,FALSE) > a<-table.element(a, 'Sum Sq',,FALSE) > a<-table.element(a, 'Mean Sq',,FALSE) > a<-table.element(a, 'F value',,FALSE) > a<-table.element(a, 'Pr(>F)',,FALSE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, V2,,TRUE) > a<-table.element(a, anova.xdf$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/2s10n1352121141.tab") > postscript(file="/var/fisher/rcomp/tmp/3bksj1352121141.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/4alde1352121141.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/5oxsb1352121141.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/6lhmb1352121141.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/7qe1g1352121141.tab") > > try(system("convert tmp/3bksj1352121141.ps tmp/3bksj1352121141.png",intern=TRUE)) character(0) > try(system("convert tmp/4alde1352121141.ps tmp/4alde1352121141.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.475 0.318 1.781