R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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 <- c(7263.63
+ ,7135.88
+ ,7008.00
+ ,6752.38
+ ,9339.00
+ ,9211.13
+ ,7263.63
+ ,5970.38
+ ,6098.13
+ ,6098.13
+ ,6226.00
+ ,6495.50
+ ,5714.75
+ ,4932.75
+ ,4292.38
+ ,4292.38
+ ,6752.38
+ ,7008.00
+ ,5060.50
+ ,2857.38
+ ,4022.88
+ ,4022.88
+ ,4932.75
+ ,5457.88
+ ,5330.00
+ ,4022.88
+ ,4677.13
+ ,4420.25
+ ,6623.38
+ ,6098.13
+ ,4022.88
+ ,2472.75
+ ,3895.00
+ ,4292.38
+ ,4677.13
+ ,5188.38
+ ,4150.63
+ ,3254.75
+ ,3639.50
+ ,3767.25
+ ,7135.88
+ ,7135.88
+ ,5188.38
+ ,4932.75
+ ,5714.75
+ ,5330.00
+ ,6367.75
+ ,7661.00
+ ,7917.88
+ ,6098.13
+ ,5585.63
+ ,5060.50
+ ,8570.88
+ ,8827.75
+ ,8173.50
+ ,8827.75
+ ,8698.63
+ ,7661.00
+ ,8827.75
+ ,10121.00
+ ,10646.13
+ ,9083.38
+ ,8045.63
+ ,8827.75
+ ,12196.25
+ ,13234.00
+ ,12978.38
+ ,13489.50
+ ,13361.75
+ ,12068.50
+ ,14271.63
+ ,14796.75
+ ,15564.88
+ ,13234.00
+ ,12324.13
+ ,13361.75
+ ,15834.38
+ ,18037.50
+ ,17512.38
+ ,17512.38
+ ,17769.25
+ ,16872.00
+ ,19204.25
+ ,19204.25
+ ,18806.88
+ ,16602.50
+ ,16999.88
+ ,17256.75
+ ,18947.38
+ ,21150.50
+ ,19587.63
+ ,20369.75
+ ,19715.50
+ ,19332.00
+ ,22317.25
+ ,21663.00
+ ,20753.13
+ ,19459.88
+ ,20753.13
+ ,21407.38
+ ,22188.13
+ ,23225.75
+ ,22188.13
+ ,22828.50
+ ,22047.63
+ ,21919.88
+ ,25160.63
+ ,25430.13
+ ,24392.50
+ ,22572.88
+ ,24123.00
+ ,24776.00
+ ,25558.00
+ ,26723.50
+ ,25558.00
+ ,26467.88
+ ,26070.50
+ ,24648.13
+ ,27633.25
+ ,27633.25)
> 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] 120
> (np <- floor(n / par1))
[1] 10
> 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]     [,7]     [,8]
 [1,] 7263.63 5714.75 5330.00 4150.63  7917.88 10646.13 15564.88 18806.88
 [2,] 7135.88 4932.75 4022.88 3254.75  6098.13  9083.38 13234.00 16602.50
 [3,] 7008.00 4292.38 4677.13 3639.50  5585.63  8045.63 12324.13 16999.88
 [4,] 6752.38 4292.38 4420.25 3767.25  5060.50  8827.75 13361.75 17256.75
 [5,] 9339.00 6752.38 6623.38 7135.88  8570.88 12196.25 15834.38 18947.38
 [6,] 9211.13 7008.00 6098.13 7135.88  8827.75 13234.00 18037.50 21150.50
 [7,] 7263.63 5060.50 4022.88 5188.38  8173.50 12978.38 17512.38 19587.63
 [8,] 5970.38 2857.38 2472.75 4932.75  8827.75 13489.50 17512.38 20369.75
 [9,] 6098.13 4022.88 3895.00 5714.75  8698.63 13361.75 17769.25 19715.50
[10,] 6098.13 4022.88 4292.38 5330.00  7661.00 12068.50 16872.00 19332.00
[11,] 6226.00 4932.75 4677.13 6367.75  8827.75 14271.63 19204.25 22317.25
[12,] 6495.50 5457.88 5188.38 7661.00 10121.00 14796.75 19204.25 21663.00
          [,9]    [,10]
 [1,] 20753.13 24392.50
 [2,] 19459.88 22572.88
 [3,] 20753.13 24123.00
 [4,] 21407.38 24776.00
 [5,] 22188.13 25558.00
 [6,] 23225.75 26723.50
 [7,] 22188.13 25558.00
 [8,] 22828.50 26467.88
 [9,] 22047.63 26070.50
[10,] 21919.88 24648.13
[11,] 25160.63 27633.25
[12,] 25430.13 27633.25
> 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]  7071.816  4945.576  4643.358  5356.543  7864.200 11916.637 16369.263
 [8] 19395.752 22280.192 25513.074
> arr.sd
 [1] 1130.463 1179.460 1088.042 1487.765 1519.137 2246.912 2332.667 1821.889
 [9] 1731.904 1501.695
> arr.range
 [1] 3368.62 4150.62 4150.63 4406.25 5060.50 6751.12 6880.12 5714.75 5970.25
[10] 5060.37
> (lm1 <- lm(arr.sd~arr.mean))

Call:
lm(formula = arr.sd ~ arr.mean)

Coefficients:
(Intercept)     arr.mean  
  1263.0477       0.0272  

> (lnlm1 <- lm(log(arr.sd)~log(arr.mean)))

Call:
lm(formula = log(arr.sd) ~ log(arr.mean))

Coefficients:
  (Intercept)  log(arr.mean)  
       4.8712         0.2678  

> (lm2 <- lm(arr.range~arr.mean))

Call:
lm(formula = arr.range ~ arr.mean)

Coefficients:
(Intercept)     arr.mean  
  4.070e+03    8.623e-02  

> postscript(file="/var/wessaorg/rcomp/tmp/1p8v71470817877.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/2glbr1470817877.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/3d6x91470817877.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)$coefficients[2,4])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/40m351470817877.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'alpha',header=TRUE)
> a<-table.element(a,lnlm1$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/5cq441470817877.tab") 
> 
> try(system("convert tmp/1p8v71470817877.ps tmp/1p8v71470817877.png",intern=TRUE))
character(0)
> try(system("convert tmp/2glbr1470817877.ps tmp/2glbr1470817877.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.892   0.072   0.981