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Type 'q()' to quit R. > source('/home/pw/wessanet/cretab') > > > > myrfcuid = '' > > x <- array(list(-6.5,'Kontrolle',-4.5,'Kontrolle',-4,'Kontrolle',-4,'Kontrolle',-4.5,'Kontrolle',-3.5,'Kontrolle',-4.5,'Kontrolle',-3.5,'Kontrolle',-3.5,'Kontrolle',-4,'Kontrolle',-4.2,'Kontrolle',-2.3,'Kontrolle',-4.5,'Kontrolle',-5,'Kontrolle',-5.5,'Kontrolle',-5,'Kontrolle',-6,'Kontrolle',-5,'Kontrolle',-6,'Kontrolle',-6,'Kontrolle',-5,'Kontrolle',-4.5,'Kontrolle',-3.5,'Kontrolle',-3.5,'Kontrolle',-7.5,'Kontrolle',-7,'Kontrolle',-6.6,'Kontrolle',-7,'Kontrolle',-7.5,'Kontrolle',-7,'Kontrolle',-7,'Kontrolle',-10,'Kontrolle',-7,'Kontrolle',-8,'Kontrolle',-5,'Kontrolle',-18,'Trockenstress',-18.5,'Trockenstress',-19,'Trockenstress',-21,'Trockenstress',-29,'Trockenstress',-20.5,'Trockenstress',-21,'Trockenstress',-23.5,'Trockenstress',-21.5,'Trockenstress',-8,'Trockenstress',-21,'Trockenstress',-21.5,'Trockenstress',-20.5,'Trockenstress',-17,'Trockenstress',-19.5,'Trockenstress',-19.5,'Trockenstress',-19,'Trockenstress',-21,'Trockenstress',-19,'Trockenstress',-19,'Trockenstress',-19,'Trockenstress',-19,'Trockenstress',-19.5,'Trockenstress',-19.5,'Trockenstress',-22.5,'Trockenstress',-18,'Trockenstress',-17.5,'Trockenstress',-20,'Trockenstress',-17,'Trockenstress',-22,'Trockenstress',-19,'Trockenstress',-20.5,'Trockenstress',-17,'Trockenstress',-20,'Trockenstress',-19.5,'Trockenstress'),dim=c(2,70),dimnames=list(c('Response','Treatment'),1:70)) > y <- array(NA,dim=c(2,70),dimnames=list(c('Response','Treatment'),1:70)) > 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 = '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. 1.2.327 (Sun, 24 Feb 2019 19:30:34 +0100) > #Author: root > #To cite this work: Ian E. Holliday (2019), One-Way-Between-Groups ANOVA (v1.0.7) in Free Statistics Software (v$_version), Office for Research Development and Education, URL https://www.wessa.net/rwasp_One%20Factor%20ANOVA.wasp/ > #Source of accompanying publication: > # > cat1 <- as.numeric(par1) # > cat2<- as.numeric(par2) # > intercept<-as.logical(par3) > x <- t(x) > x1<-as.numeric(x[,cat1]) > f1<-as.character(x[,cat2]) > xdf<-data.frame(x1,f1) > (V1<-dimnames(y)[[1]][cat1]) [1] "Response" > (V2<-dimnames(y)[[1]][cat2]) [1] "Treatment" > names(xdf)<-c('Response', 'Treatment') > if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, data = xdf) ) Call: lm(formula = Response ~ Treatment, data = xdf) Coefficients: (Intercept) TreatmentTrockenstress -5.374 -14.254 > (aov.xdf<-aov(lmxdf) ) Call: aov(formula = lmxdf) Terms: Treatment Residuals Sum of Squares 3555.732 396.758 Deg. of Freedom 1 68 Residual standard error: 2.415508 Estimated effects may be unbalanced > (anova.xdf<-anova(lmxdf) ) Analysis of Variance Table Response: Response Df Sum Sq Mean Sq F value Pr(>F) Treatment 1 3555.7 3555.7 609.41 < 2.2e-16 *** Residuals 68 396.8 5.8 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'ANOVA Model', length(lmxdf$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$coefficients[i], digits=3),,FALSE) + } > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/home/pw/wessanet/rcomp/tmp/1qg4w1615458944.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'ANOVA Statistics', 5+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, ' ',,TRUE) > a<-table.element(a, 'Df',,FALSE) > a<-table.element(a, 'Sum Sq',,FALSE) > a<-table.element(a, 'Mean Sq',,FALSE) > a<-table.element(a, 'F value',,FALSE) > a<-table.element(a, 'Pr(>F)',,FALSE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, V2,,TRUE) > a<-table.element(a, anova.xdf$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="/home/pw/wessanet/rcomp/tmp/2n2ju1615458944.tab") > postscript(file="/home/pw/wessanet/rcomp/tmp/32cau1615458944.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="/home/pw/wessanet/rcomp/tmp/4kgio1615458944.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="/home/pw/wessanet/rcomp/tmp/5n8pr1615458944.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="/home/pw/wessanet/rcomp/tmp/6o6p01615458944.tab") + } > library(car) Loading required package: carData > 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="/home/pw/wessanet/rcomp/tmp/7rwwo1615458944.tab") > > try(system("convert /home/pw/wessanet/rcomp/tmp/32cau1615458944.ps /home/pw/wessanet/rcomp/tmp/32cau1615458944.png",intern=TRUE)) convert-im6.q16: profile 'icc': 'RGB ': RGB color space not permitted on grayscale PNG `/home/pw/wessanet/rcomp/tmp/32cau1615458944.png' @ warning/png.c/MagickPNGWarningHandler/1654. character(0) > try(system("convert /home/pw/wessanet/rcomp/tmp/4kgio1615458944.ps /home/pw/wessanet/rcomp/tmp/4kgio1615458944.png",intern=TRUE)) convert-im6.q16: profile 'icc': 'RGB ': RGB color space not permitted on grayscale PNG `/home/pw/wessanet/rcomp/tmp/4kgio1615458944.png' @ warning/png.c/MagickPNGWarningHandler/1654. character(0) > > proc.time() user system elapsed 0.798 0.078 0.882