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Type 'q()' to quit R. > x <- c(25,24,23,21,41,40,25,15,16,16,17,19,18,19,20,21,46,47,30,16,15,18,30,31,32,36,30,31,61,57,45,33,31,36,46,49,34,40,41,48,75,77,71,54,50,56,66,66,48,63,71,70,88,92,91,80,81,81,98,106,85,93,96,92,115,109,119,107,107,106,132,143,120,123,132,136,158,151,155,138,143,139,168,182,154,158,167,170,197,190,196,174,180,171,200,215,184,186,197,186,211,205,218,199,213,207,236,248,211,220,235,223,245,236,253,246,255,248,274,288) > par1 = '4' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), 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: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as.numeric(par1) > (n <- length(x)) [1] 120 > (np <- floor(n / par1)) [1] 30 > 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] [,9] [,10] [,11] [,12] [,13] [,14] [1,] 25 41 16 18 46 15 32 61 31 34 75 50 48 88 [2,] 24 40 16 19 47 18 36 57 36 40 77 56 63 92 [3,] 23 25 17 20 30 30 30 45 46 41 71 66 71 91 [4,] 21 15 19 21 16 31 31 33 49 48 54 66 70 80 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [1,] 81 85 115 107 120 158 143 154 197 180 184 211 [2,] 81 93 109 106 123 151 139 158 190 171 186 205 [3,] 98 96 119 132 132 155 168 167 196 200 197 218 [4,] 106 92 107 143 136 138 182 170 174 215 186 199 [,27] [,28] [,29] [,30] [1,] 213 211 245 255 [2,] 207 220 236 248 [3,] 236 235 253 274 [4,] 248 223 246 288 > 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] 23.25 30.25 17.00 19.50 34.75 23.50 32.25 49.00 40.50 40.75 [11] 69.25 59.50 63.00 87.75 91.50 91.50 112.50 122.00 127.75 150.50 [21] 158.00 162.25 189.25 191.50 188.25 208.25 226.00 222.25 245.00 266.25 > arr.sd [1] 1.707825 12.526638 1.414214 1.290994 14.728091 8.185353 2.629956 [8] 12.649111 8.426150 5.737305 10.468206 7.895146 10.614456 5.439056 [15] 12.556539 4.654747 5.507571 18.457158 7.500000 8.812869 20.510160 [22] 7.500000 10.626225 19.807406 5.909033 8.139410 19.270011 9.912114 [29] 6.976150 18.191115 > arr.range [1] 4 26 3 3 31 16 6 28 18 14 23 16 23 12 25 11 12 37 16 20 43 16 23 44 13 [26] 19 41 24 17 40 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 6.03917 0.03197 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) -0.1784 0.5055 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 12.52552 0.07425 > postscript(file="/var/www/rcomp/tmp/1z3q31282248214.ps",horizontal=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/www/rcomp/tmp/2z3q31282248214.ps",horizontal=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/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/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/www/rcomp/tmp/32m791282248214.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/www/rcomp/tmp/4645x1282248214.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/www/rcomp/tmp/5kel61282248214.tab") > > try(system("convert tmp/1z3q31282248214.ps tmp/1z3q31282248214.png",intern=TRUE)) character(0) > try(system("convert tmp/2z3q31282248214.ps tmp/2z3q31282248214.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.730 0.500 1.213