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Type 'q()' to quit R. > x <- c(252,251,250,248,268,267,252,242,243,243,244,246,236,241,240,239,253,249,232,229,221,222,224,224,215,225,225,221,238,234,228,227,216,219,225,227,205,215,214,209,222,216,206,199,189,198,203,211,199,211,210,203,214,202,193,193,176,192,200,195,180,197,194,194,212,202,195,198,170,187,190,189,176,188,195,194,211,203,194,194,163,183,181,184,171,178,179,186,205,204,195,186,156,167,164,165,153,160,154,169,186,188,187,169,131,146,145,137,119,118,113,123,142,141,138,124,83,100,96,98) > 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,] 252 268 243 236 253 221 215 238 216 205 222 189 199 214 [2,] 251 267 243 241 249 222 225 234 219 215 216 198 211 202 [3,] 250 252 244 240 232 224 225 228 225 214 206 203 210 193 [4,] 248 242 246 239 229 224 221 227 227 209 199 211 203 193 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [1,] 176 180 212 170 176 211 163 171 205 156 153 186 [2,] 192 197 202 187 188 203 183 178 204 167 160 188 [3,] 200 194 195 190 195 194 181 179 195 164 154 187 [4,] 195 194 198 189 194 194 184 186 186 165 169 169 [,27] [,28] [,29] [,30] [1,] 131 119 142 83 [2,] 146 118 141 100 [3,] 145 113 138 96 [4,] 137 123 124 98 > 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] 250.25 257.25 244.00 239.00 240.75 222.75 221.50 231.75 221.75 210.75 [11] 210.75 200.25 205.75 200.50 190.75 191.25 201.75 184.00 188.25 200.50 [21] 177.75 178.50 197.50 163.00 159.00 182.50 139.75 118.25 136.25 94.25 > arr.sd [1] 1.707825 12.526638 1.414214 2.160247 12.010412 1.500000 4.725816 [8] 5.188127 5.123475 4.645787 10.242884 9.215024 5.737305 9.949874 [15] 10.372239 7.632169 7.410578 9.416298 8.732125 8.185353 9.912114 [22] 6.137318 8.888194 4.830459 7.348469 9.036961 7.088723 4.112988 [29] 8.341663 7.675719 > arr.range [1] 4 26 3 5 24 3 10 11 11 10 23 22 12 21 24 17 17 20 19 17 21 15 19 11 16 [26] 19 15 10 18 17 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 9.21629 -0.01113 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 5.2687 -0.6571 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 21.29766 -0.03053 > postscript(file="/var/www/rcomp/tmp/1ye9z1281903577.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/2ye9z1281903577.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/32e7m1281903577.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/45xos1281903577.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/5jpmj1281903577.tab") > > try(system("convert tmp/1ye9z1281903577.ps tmp/1ye9z1281903577.png",intern=TRUE)) character(0) > try(system("convert tmp/2ye9z1281903577.ps tmp/2ye9z1281903577.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.75 0.28 1.01