R version 2.9.0 (2009-04-17) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- array(list(1 + ,1 + ,4 + ,0 + ,2 + ,'T' + ,0 + ,3 + ,-1 + ,1 + ,4 + ,1 + ,1 + ,0 + ,0 + ,2 + ,'T' + ,0 + ,-1 + ,-1 + ,1 + ,0 + ,0 + ,1 + ,4 + ,1 + ,1.5 + ,'T' + ,1 + ,4 + ,1 + ,1.5 + ,5 + ,0 + ,0 + ,0 + ,0 + ,0 + ,'T' + ,0 + ,0 + ,0 + ,0 + ,0 + ,1 + ,1 + ,0 + ,1 + ,1 + ,'T' + ,0 + ,-1 + ,0 + ,0 + ,0 + ,1 + ,1 + ,0 + ,1 + ,2 + ,'T' + ,0 + ,-1 + ,0 + ,1 + ,0 + ,1 + ,1 + ,0 + ,1 + ,2 + ,'T' + ,0 + ,-1 + ,0 + ,1 + ,0 + ,0 + ,1 + ,0 + ,1 + ,1 + ,'T' + ,1 + ,0 + ,1 + ,1 + ,1 + ,0 + ,1 + ,4 + ,1 + ,2 + ,'T' + ,1 + ,4 + ,1 + ,2 + ,5 + ,1 + ,1 + ,1 + ,0 + ,2 + ,'T' + ,0 + ,0 + ,-1 + ,1 + ,1 + ,0 + ,0 + ,4 + ,0 + ,2 + ,'T' + ,0 + ,4 + ,0 + ,2 + ,4 + ,0 + ,1 + ,0 + ,1 + ,0 + ,'T' + ,1 + ,0 + ,1 + ,0 + ,1 + ,0 + ,1 + ,2 + ,1 + ,0 + ,'T' + ,1 + ,2 + ,1 + ,0 + ,3 + ,0 + ,1 + ,0 + ,0 + ,2 + ,'T' + ,1 + ,0 + ,0 + ,2 + ,1 + ,0 + ,0 + ,0 + ,NA + ,NA + ,'T' + ,0 + ,0 + ,NA + ,NA + ,0 + ,1 + ,1 + ,0 + ,1 + ,2 + ,'T' + ,0 + ,-1 + ,0 + ,1 + ,0 + ,1 + ,1 + ,1 + ,0 + ,2 + ,'T' + 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,NA + ,NA + ,0 + ,0 + ,0 + ,4 + ,1 + ,2 + ,'S' + ,0 + ,4 + ,1 + ,2 + ,4 + ,1 + ,0 + ,0 + ,NA + ,NA + ,'S' + ,-1 + ,-1 + ,NA + ,NA + ,-1 + ,1 + ,1 + ,4 + ,1 + ,2 + ,'S' + ,0 + ,3 + ,0 + ,1 + ,4 + ,0 + ,0 + ,2 + ,1 + ,2 + ,'S' + ,0 + ,2 + ,1 + ,2 + ,2 + ,0 + ,0 + ,2 + ,NA + ,NA + ,'S' + ,0 + ,2 + ,NA + ,NA + ,2 + ,1 + ,1 + ,0 + ,0 + ,0 + ,'S' + ,0 + ,-1 + ,-1 + ,-1 + ,0 + ,1 + ,1 + ,0 + ,1 + ,2 + ,'S' + ,0 + ,-1 + ,0 + ,1 + ,0 + ,1 + ,1 + ,4 + ,NA + ,NA + ,'S' + ,0 + ,3 + ,NA + ,NA + ,4 + ,0 + ,1 + ,0 + ,1 + ,2 + ,'S' + ,1 + ,0 + ,1 + ,2 + ,1 + ,1 + ,1 + ,0 + ,1 + ,2 + ,'S' + ,0 + ,-1 + ,0 + ,1 + ,0 + ,1 + ,1 + ,0 + ,1 + ,2 + ,'S' + ,0 + ,-1 + ,0 + ,1 + ,0 + ,1 + ,1 + ,4 + ,1 + ,2 + ,'S' + ,0 + ,3 + ,0 + ,1 + ,4 + ,1 + ,1 + ,4 + ,1 + ,2 + ,'S' + ,0 + ,3 + ,0 + ,1 + ,4 + ,0 + ,0 + ,0 + ,NA + ,NA + ,'S' + ,0 + ,0 + ,NA + ,NA + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,'S' + ,0 + ,0 + ,0 + ,0 + ,0 + ,1 + ,1 + ,2 + ,0 + ,0 + ,'S' + ,0 + ,1 + ,-1 + ,-1 + ,2 + ,0 + ,0 + ,1 + ,1 + ,2 + ,'S' + ,0 + ,1 + ,1 + ,2 + ,1 + ,0 + ,0 + ,0 + ,0 + ,0 + ,'S' + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,2 + ,1 + ,2 + ,'S' + ,0 + ,2 + ,1 + ,2 + ,2 + ,0 + ,1 + ,1 + ,0 + ,0 + ,'S' + ,1 + ,1 + ,0 + ,0 + ,2) + ,dim=c(11 + ,105) + ,dimnames=list(c('pre' + ,'post1' + ,'post2' + ,'post3' + ,'post4' + ,'Treatment' + ,'post1-pre' + ,'post2-pre' + ,'post3-pre' + ,'post4-pre' + ,'Tot-pre') + ,1:105)) > y <- array(NA,dim=c(11,105),dimnames=list(c('pre','post1','post2','post3','post4','Treatment','post1-pre','post2-pre','post3-pre','post4-pre','Tot-pre'),1:105)) > 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) > par3 = 'TRUE' > par2 = '6' > par1 = '9' > 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, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > cat1 <- as.numeric(par1) # > cat2<- as.numeric(par2) # > intercept<-as.logical(par3) > x <- t(x) > x1<-as.numeric(x[,cat1]) > f1<-as.character(x[,cat2]) > xdf<-data.frame(x1,f1) > (V1<-dimnames(y)[[1]][cat1]) [1] "post3-pre" > (V2<-dimnames(y)[[1]][cat2]) [1] "Treatment" > names(xdf)<-c('Response', 'Treatment') > if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, data = xdf) ) Call: lm(formula = Response ~ Treatment, data = xdf) Coefficients: (Intercept) TreatmentS TreatmentT 0.30000 -0.06667 -0.26667 > (aov.xdf<-aov(lmxdf) ) Call: aov(formula = lmxdf) Terms: Treatment Residuals Sum of Squares 1.15556 36.63333 Deg. of Freedom 2 87 Residual standard error: 0.6489012 Estimated effects may be unbalanced 15 observations deleted due to missingness > (anova.xdf<-anova(lmxdf) ) Analysis of Variance Table Response: Response Df Sum Sq Mean Sq F value Pr(>F) Treatment 2 1.156 0.578 1.3722 0.259 Residuals 87 36.633 0.421 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'ANOVA Model', length(lmxdf$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$coefficients[i], digits=3),,FALSE) + } > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/18whh1289996117.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'ANOVA Statistics', 5+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, ' ',,TRUE) > a<-table.element(a, 'Df',,FALSE) > a<-table.element(a, 'Sum Sq',,FALSE) > a<-table.element(a, 'Mean Sq',,FALSE) > a<-table.element(a, 'F value',,FALSE) > a<-table.element(a, 'Pr(>F)',,FALSE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, V2,,TRUE) > a<-table.element(a, anova.xdf$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/2tffn1289996117.tab") > postscript(file="/var/www/html/rcomp/tmp/3m6eq1289996117.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/4m6eq1289996117.ps",horizontal=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/www/html/rcomp/tmp/50gg81289996118.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/6s7xt1289996118.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/7eqdz1289996118.tab") > > try(system("convert tmp/3m6eq1289996117.ps tmp/3m6eq1289996117.png",intern=TRUE)) character(0) > try(system("convert tmp/4m6eq1289996117.ps tmp/4m6eq1289996117.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.855 0.289 2.587