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Type 'q()' to quit R. > x <- c(356,355,354,352,372,371,356,346,347,347,348,350,353,351,348,351,370,370,351,335,330,328,332,334,343,334,336,343,365,364,351,326,320,312,315,316,319,311,315,322,336,339,317,295,291,283,285,289,296,283,285,289,306,306,283,258,255,248,244,249,258,252,246,249,267,284,261,235,229,218,218,229,237,231,229,233,245,256,224,194,192,178,170,187,192,182,178,186,204,224,194,173,178,168,152,163,172,170,156,155,178,194,164,135,139,135,109,121,131,135,119,121,151,169,135,105,112,105,82,81) > 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,] 356 372 347 353 370 330 343 365 320 319 336 291 296 306 [2,] 355 371 347 351 370 328 334 364 312 311 339 283 283 306 [3,] 354 356 348 348 351 332 336 351 315 315 317 285 285 283 [4,] 352 346 350 351 335 334 343 326 316 322 295 289 289 258 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [1,] 255 258 267 229 237 245 192 192 204 178 172 178 [2,] 248 252 284 218 231 256 178 182 224 168 170 194 [3,] 244 246 261 218 229 224 170 178 194 152 156 164 [4,] 249 249 235 229 233 194 187 186 173 163 155 135 [,27] [,28] [,29] [,30] [1,] 139 131 151 112 [2,] 135 135 169 105 [3,] 109 119 135 82 [4,] 121 121 105 81 > 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] 354.25 361.25 348.00 350.75 356.50 331.00 339.00 351.50 315.75 316.75 [11] 321.75 287.00 288.25 288.25 249.00 251.25 261.75 223.50 232.50 229.75 [21] 181.75 184.50 198.75 165.25 163.25 167.75 126.00 126.50 140.00 95.00 > arr.sd [1] 1.707825 12.526638 1.414214 2.061553 16.901676 2.581989 4.690416 [8] 18.156725 3.304038 4.787136 20.320351 3.651484 5.737305 22.896506 [15] 4.546061 5.123475 20.320351 6.350853 3.415650 27.280946 9.742518 [22] 5.972158 21.219095 10.812801 8.995369 25.038304 13.711309 7.724420 [29] 27.153882 15.853496 > arr.range [1] 4 26 3 5 35 6 9 39 8 11 44 8 13 48 11 12 49 11 8 62 22 14 51 26 17 [26] 59 30 16 64 31 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 19.20158 -0.03182 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 7.4189 -0.9747 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 43.55028 -0.07421 > postscript(file="/var/www/html/rcomp/tmp/173ne1282126358.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/html/rcomp/tmp/2iu4y1282126358.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/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/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/html/rcomp/tmp/3ld3m1282126358.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/html/rcomp/tmp/47vja1282126358.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/html/rcomp/tmp/5aw0g1282126358.tab") > > try(system("convert tmp/173ne1282126358.ps tmp/173ne1282126358.png",intern=TRUE)) character(0) > try(system("convert tmp/2iu4y1282126358.ps tmp/2iu4y1282126358.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.519 0.305 0.700