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Type 'q()' to quit R. > x <- array(list(88,6,94,8,90,8,73,7,68,5,80,7,86,8,86,9,91,9,79,3,96,9,92,7,72,9,96,8,70,6,86,7,87,8,88,9,79,7,90,6,95,8,85,7,90,8,115,9,84,9,79,7,94,4,97,7,86,7,111,9,87,7,98,9,87,10,68,5,88,6,82,9,111,9,75,8,94,6,95,6,80,5,95,8,68,8,94,5,88,6,84,9,101,6,101,10,95,8,95,7,95,8,90,3,107,8,92,10,86,7,70,5,95,10,96,5,91,8,87,9,92,6,97,9,102,8,91,5,68,8,88,3,97,7,90,8,101,10,94,9,101,10,109,9,100,8,103,8,94,8,97,9,85,4,75,6,77,7,87,4,78,9,108,7,97,8,106,8,107,7,95,7,107,9,115,8,101,8,85,9,90,9,115,10,95,7,97,8,112,5,97,9,77,8,90,7,94,8,103,8,77,7,98,6,90,7,111,7,77,6,88,6,75,7,92,9,78,6,106,10,80,4,87,8,92,7,86,5,85,9,90,8,101,9,94,8,86,8,86,9,90,8,75,9,86,7,91,6,97,8,91,6,70,5,98,3,96,6,95,8,100,7,95,8,97,6,97,9,92,9,115,10,88,7,87,5,100,8,98,9,102,8,96,4),dim=c(2,142),dimnames=list(c('RespVar','AgeGroup'),1:142)) > y <- array(NA,dim=c(2,142),dimnames=list(c('RespVar','AgeGroup'),1:142)) > 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' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Dr. Ian E. Holliday > #To cite this work: Ian E. Holliday, 2009, STARS Bullying Study (v1.0.1) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_STARS_Bullying_Study_alt.wasp/ > #Source of accompanying publication: > #Technical description: > cat1 <- as.numeric(par1) # > cat2<- as.numeric(par2) # > intercept<-as.logical(par3) > x <- t(x) > x1<-as.numeric(x[,cat1]) > f1<-as.character(x[,cat2]) > xdf<-data.frame(x1,f1) > (V1<-dimnames(y)[[1]][cat1]) [1] "RespVar" > (V2<-dimnames(y)[[1]][cat2]) [1] "AgeGroup" > names(xdf)<-c('Response', 'Treatment') > if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, data = xdf) ) Call: lm(formula = Response ~ Treatment, data = xdf) Coefficients: (Intercept) Treatment3 Treatment4 Treatment5 Treatment6 Treatment7 101.444 -12.694 -13.044 -17.626 -12.722 -12.074 Treatment8 Treatment9 -8.102 -8.611 > (aov.xdf<-aov(lmxdf) ) Call: aov(formula = lmxdf) Terms: Treatment Residuals Sum of Squares 2058.522 13804.435 Deg. of Freedom 7 134 Residual standard error: 10.14979 Estimated effects may be unbalanced > (anova.xdf<-anova(lmxdf) ) Analysis of Variance Table Response: Response Df Sum Sq Mean Sq F value Pr(>F) Treatment 7 2058.5 294.1 2.8546 0.008291 ** Residuals 134 13804.4 103.0 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'ANOVA Model', length(lmxdf$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$coefficients[i], digits=3),,FALSE) + } > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/10qwx1259847275.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'ANOVA Statistics', 5+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, ' ',,TRUE) > a<-table.element(a, 'Df',,FALSE) > a<-table.element(a, 'Sum Sq',,FALSE) > a<-table.element(a, 'Mean Sq',,FALSE) > a<-table.element(a, 'F value',,FALSE) > a<-table.element(a, 'Pr(>F)',,FALSE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, V2,,TRUE) > a<-table.element(a, anova.xdf$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/www/html/rcomp/tmp/25ab81259847275.tab") > postscript(file="/var/www/html/rcomp/tmp/3q0pr1259847275.ps",horizontal=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/www/html/rcomp/tmp/41iya1259847275.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) + plot(thsd) + dev.off() + 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/www/html/rcomp/tmp/57zk91259847275.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/www/html/rcomp/tmp/6mwgk1259847275.tab") + } > library(car) > lt.lmxdf<-levene.test(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/www/html/rcomp/tmp/7g1ok1259847275.tab") > > system("convert tmp/3q0pr1259847275.ps tmp/3q0pr1259847275.png") > system("convert tmp/41iya1259847275.ps tmp/41iya1259847275.png") > > > proc.time() user system elapsed 0.636 0.312 0.970