source('/home/pw/wessanet/cretab')



myrfcuid = 'r0612973'

x <- c(1.894,1.757,3.582,5.321,5.561,5.907,4.944,4.966,3.258,1.964,1.743,1.262,2.086,1.793,3.548,5.672,6.084,4.914,4.990,5.139,3.218,2.179,2.238,1.442,2.205,2.025,3.531,4.977,7.998,4.880,5.231,5.202,3.303,2.683,2.202,1.376,2.422,1.997,3.163,5.964,5.657,6.415,6.208,4.500,2.939,2.702,2.090,1.504,2.549,1.931,3.013,6.204,5.788,5.611,5.594,4.647,3.490,2.487,1.992,1.507,2.306,2.002,3.075,5.331,5.589,5.813,4.876,4.665,3.601,2.192,2.111,1.580,2.288,1.993,3.228,5.000,5.480,5.770,4.962,4.685,3.607,2.222,2.467,1.594,2.228,1.910,3.157,4.809,6.249,4.607,4.975,4.784,3.028,2.461,2.218,1.351,2.070,1.887,3.024,4.596,6.398,4.459,5.382,4.359,2.687,2.249,2.154,1.169,2.429,1.762,2.846,5.627,5.749,4.502,5.720,4.403,2.867,2.635,2.059,1.511,2.359,1.741,2.917,6.249,5.760,6.250,5.134,4.831,3.695,2.462,2.146,1.579)
par1 = '12'
par1 <- '12'
#'GNU S' R Code compiled by R2WASP v. 1.2.327 (Tue, 16 Aug 2016 15:29:14 +0200)
#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))
(np <- floor(n / par1))
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
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
arr.sd
arr.range
(lm1 <- lm(arr.sd~arr.mean))
(lnlm1 <- lm(log(arr.sd)~log(arr.mean)))
(lm2 <- lm(arr.range~arr.mean))
postscript(file="/home/pw/wessanet/rcomp/tmp/1ip081482308391.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()
postscript(file="/home/pw/wessanet/rcomp/tmp/21s7n1482308391.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()

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="/home/pw/wessanet/rcomp/tmp/3b7xg1482308391.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)$coefficients[2,4])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file="/home/pw/wessanet/rcomp/tmp/48c9a1482308391.tab") 
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'alpha',header=TRUE)
a<-table.element(a,lnlm1$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="/home/pw/wessanet/rcomp/tmp/585oq1482308391.tab") 

try(system("convert /home/pw/wessanet/rcomp/tmp/1ip081482308391.ps /home/pw/wessanet/rcomp/tmp/1ip081482308391.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/21s7n1482308391.ps /home/pw/wessanet/rcomp/tmp/21s7n1482308391.png",intern=TRUE))