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Type 'q()' to quit R. > x <- c(18293.9,18613.4,18728.5,20091.8,18947.2,20124.9,19819.2,15908.6,19927.4,19551.9,15588.6,14206.2,13566.7,13941.5,14964.1,14086,13505.1,15300.4,14725.2,12484.9,16082.6,15915.8,15916.1,15713,14746,15253.2,18384.3,16848.5,16485.5,19257.1,17093.4,15700.1,19124.3,18640.8,18439.2,17106.3,18347.7,19372.7,22263.8,19422.9,21268.6,20310,19256,17535.9,19857.4,19628.4,19727.5,18112.2,19080.2,20684.6,22537.7,19954.6,20230.2,20445.5,19615.3,18071.6,19287.2,21031.4,19860.9,17671.3,19359.2,19287,21498,20859.7,20833.1,20318.8,21375.9,17403.4,21050.1,22010.2,20372.1,19028.4) > par1 = '12' > par1 <- '12' > #'GNU S' R Code compiled by R2WASP v. 1.2.291 () > #Author: root > #To cite this work: Wessa P. (2012), Standard Deviation-Mean Plot (v1.0.6) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_smp.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > par1 <- as.numeric(par1) > (n <- length(x)) [1] 72 > (np <- floor(n / par1)) [1] 6 > arr <- array(NA,dim=c(par1,np)) > j <- 0 > k <- 1 > for (i in 1:(np*par1)) + { + j = j + 1 + arr[j,k] <- x[i] + if (j == par1) { + j = 0 + k=k+1 + } + } > arr [,1] [,2] [,3] [,4] [,5] [,6] [1,] 18293.9 13566.7 14746.0 18347.7 19080.2 19359.2 [2,] 18613.4 13941.5 15253.2 19372.7 20684.6 19287.0 [3,] 18728.5 14964.1 18384.3 22263.8 22537.7 21498.0 [4,] 20091.8 14086.0 16848.5 19422.9 19954.6 20859.7 [5,] 18947.2 13505.1 16485.5 21268.6 20230.2 20833.1 [6,] 20124.9 15300.4 19257.1 20310.0 20445.5 20318.8 [7,] 19819.2 14725.2 17093.4 19256.0 19615.3 21375.9 [8,] 15908.6 12484.9 15700.1 17535.9 18071.6 17403.4 [9,] 19927.4 16082.6 19124.3 19857.4 19287.2 21050.1 [10,] 19551.9 15915.8 18640.8 19628.4 21031.4 22010.2 [11,] 15588.6 15916.1 18439.2 19727.5 19860.9 20372.1 [12,] 14206.2 15713.0 17106.3 18112.2 17671.3 19028.4 > arr.mean <- array(NA,dim=np) > arr.sd <- array(NA,dim=np) > arr.range <- array(NA,dim=np) > for (j in 1:np) + { + arr.mean[j] <- mean(arr[,j],na.rm=TRUE) + arr.sd[j] <- sd(arr[,j],na.rm=TRUE) + arr.range[j] <- max(arr[,j],na.rm=TRUE) - min(arr[,j],na.rm=TRUE) + } > arr.mean [1] 18316.80 14683.45 17256.56 19591.92 19872.54 20282.99 > arr.sd [1] 1990.694 1163.597 1526.325 1304.202 1303.631 1300.289 > arr.range [1] 5918.7 3597.7 4511.1 4727.9 4866.4 4606.8 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 1.222e+03 1.141e-02 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 4.8847 0.2411 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 1146.0691 0.1941 > postscript(file="/var/wessaorg/rcomp/tmp/1kb5n1416565567.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.mean,arr.sd,main='Standard Deviation-Mean Plot',xlab='mean',ylab='standard deviation') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/2uipd1416565567.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(arr.mean,arr.range,main='Range-Mean Plot',xlab='mean',ylab='range') > dev.off() null device 1 > > #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,'Standard Deviation-Mean Plot',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Section',header=TRUE) > a<-table.element(a,'Mean',header=TRUE) > a<-table.element(a,'Standard Deviation',header=TRUE) > a<-table.element(a,'Range',header=TRUE) > a<-table.row.end(a) > for (j in 1:np) { + a<-table.row.start(a) + a<-table.element(a,j,header=TRUE) + a<-table.element(a,arr.mean[j]) + a<-table.element(a,arr.sd[j] ) + a<-table.element(a,arr.range[j] ) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/3nnbd1416565567.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Regression: S.E.(k) = alpha + beta * Mean(k)',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'alpha',header=TRUE) > a<-table.element(a,lm1$coefficients[[1]]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'beta',header=TRUE) > a<-table.element(a,lm1$coefficients[[2]]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'S.D.',header=TRUE) > a<-table.element(a,summary(lm1)$coefficients[2,2]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'T-STAT',header=TRUE) > a<-table.element(a,summary(lm1)$coefficients[2,3]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'p-value',header=TRUE) > a<-table.element(a,summary(lm1)$coefficients[2,4]) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/4f7t31416565567.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'alpha',header=TRUE) > a<-table.element(a,lnlm1$coefficients[[1]]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'beta',header=TRUE) > a<-table.element(a,lnlm1$coefficients[[2]]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'S.D.',header=TRUE) > a<-table.element(a,summary(lnlm1)$coefficients[2,2]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'T-STAT',header=TRUE) > a<-table.element(a,summary(lnlm1)$coefficients[2,3]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'p-value',header=TRUE) > a<-table.element(a,summary(lnlm1)$coefficients[2,4]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Lambda',header=TRUE) > a<-table.element(a,1-lnlm1$coefficients[[2]]) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/51rzh1416565567.tab") > > try(system("convert tmp/1kb5n1416565567.ps tmp/1kb5n1416565567.png",intern=TRUE)) character(0) > try(system("convert tmp/2uipd1416565567.ps tmp/2uipd1416565567.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.899 0.145 1.049