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Type 'q()' to quit R. > x <- c(349,348,347,345,365,364,349,339,340,340,341,343,341,343,341,335,355,357,337,325,336,338,337,328,326,327,319,310,320,322,303,292,303,315,311,307,308,312,309,310,309,304,287,275,290,298,294,286,294,292,287,281,280,271,264,259,271,279,279,273,286,286,280,277,269,255,252,245,257,267,261,258,271,262,258,253,236,228,235,226,231,235,227,222,233,221,218,220,204,196,208,190,191,194,179,162,179,176,168,170,153,142,155,136,136,144,135,114,135,132,123,123,103,97,113,108,111,121,111,97) > 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,] 349 365 340 341 355 336 326 320 303 308 309 290 294 280 [2,] 348 364 340 343 357 338 327 322 315 312 304 298 292 271 [3,] 347 349 341 341 337 337 319 303 311 309 287 294 287 264 [4,] 345 339 343 335 325 328 310 292 307 310 275 286 281 259 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [1,] 271 286 269 257 271 236 231 233 204 191 179 153 [2,] 279 286 255 267 262 228 235 221 196 194 176 142 [3,] 279 280 252 261 258 235 227 218 208 179 168 155 [4,] 273 277 245 258 253 226 222 220 190 162 170 136 [,27] [,28] [,29] [,30] [1,] 136 135 103 111 [2,] 144 132 97 121 [3,] 135 123 113 111 [4,] 114 123 108 97 > 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] 347.25 354.25 341.00 340.00 343.50 334.75 320.50 309.25 309.00 309.75 [11] 293.75 292.00 288.50 268.50 275.50 282.25 255.25 260.75 261.00 231.25 [21] 228.75 223.00 199.50 181.50 173.25 146.50 132.25 128.25 105.25 110.00 > arr.sd [1] 1.707825 12.526638 1.414214 3.464102 15.264338 4.573474 7.852813 [8] 14.314911 5.163978 1.707825 15.649814 5.163978 5.802298 9.110434 [15] 4.123106 4.500000 10.078856 4.500000 7.615773 4.991660 5.560276 [22] 6.782330 8.062258 14.525839 5.123475 9.036961 12.816006 6.184658 [29] 6.849574 9.865766 > arr.range [1] 4 26 3 8 32 10 17 30 12 4 34 12 13 21 8 9 24 10 18 10 13 15 18 32 11 [26] 19 30 12 16 24 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean 9.867331 -0.009375 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) 4.7532 -0.5302 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 22.81736 -0.02479 > postscript(file="/var/www/rcomp/tmp/1h7ur1282163215.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/2h7ur1282163215.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/337sw1282163215.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/4yhtf1282163216.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/5p3za1282163216.tab") > > try(system("convert tmp/1h7ur1282163215.ps tmp/1h7ur1282163215.png",intern=TRUE)) character(0) > try(system("convert tmp/2h7ur1282163215.ps tmp/2h7ur1282163215.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.720 0.530 1.228