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Type 'q()' to quit R. > x <- c(1394,1657,2411,3595,3336,3249,2920,2113,2040,1853,1832,2093,2164,2368,2072,2521,1819,1947,2226,1754,1787,2072,1846,2137,2467,2154,2289,2628,2074,2798,2194,2442,2565,2063,2069,2539,1898,2139,2408,2725,2201,2311,2548,2276,2351,2280,2057,2479,2379,2295,2456,2546,2844,2260,2981,2678,3440,2842,2450,2669,2570,2540,2318,2930,2947,2799,2695,2498,2260,2160,2058,2533,2150,2172,2155,3016,2333,2355,2825,2214,2360,2299,1746,2069,2267,1878,2266,2282,2085,2277,2251,1828,1954,1851,1570,1852,2187,1855,2218) > 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] 99 > (np <- floor(n / par1)) [1] 24 > 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,] 1394 3336 2040 2164 1819 1787 2467 2074 2565 1898 2201 2351 2379 2844 [2,] 1657 3249 1853 2368 1947 2072 2154 2798 2063 2139 2311 2280 2295 2260 [3,] 2411 2920 1832 2072 2226 1846 2289 2194 2069 2408 2548 2057 2456 2981 [4,] 3595 2113 2093 2521 1754 2137 2628 2442 2539 2725 2276 2479 2546 2678 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 3440 2570 2947 2260 2150 2333 2360 2267 2085 1954 [2,] 2842 2540 2799 2160 2172 2355 2299 1878 2277 1851 [3,] 2450 2318 2695 2058 2155 2825 1746 2266 2251 1570 [4,] 2669 2930 2498 2533 3016 2214 2069 2282 1828 1852 > 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] 2264.25 2904.50 1954.50 2281.25 1936.50 1960.50 2384.50 2377.00 2309.00 [10] 2292.50 2334.00 2291.75 2419.00 2690.75 2850.25 2589.50 2734.75 2252.75 [19] 2373.25 2431.75 2118.50 2173.25 2110.25 1806.75 > arr.sd [1] 986.3263 557.2507 131.4040 202.1046 208.9920 170.0951 206.8405 319.7728 [9] 280.8036 355.7101 149.8644 176.8415 107.1976 312.7506 424.6272 253.3002 [17] 188.6874 204.2243 428.6034 269.3837 278.1540 196.9693 206.4935 165.0644 > arr.range [1] 2201 1223 261 449 472 350 474 724 502 827 347 422 251 721 990 [16] 612 449 475 866 611 614 404 449 384 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean -186.5558 0.2016 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) -7.527 1.683 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean -498.0388 0.4841 > postscript(file="/var/www/rcomp/tmp/18aeo1304974629.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() null device 1 > postscript(file="/var/www/rcomp/tmp/2hvcw1304974629.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() 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/3qexp1304974629.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/4t6h11304974629.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/59yac1304974629.tab") > > try(system("convert tmp/18aeo1304974629.ps tmp/18aeo1304974629.png",intern=TRUE)) character(0) > try(system("convert tmp/2hvcw1304974629.ps tmp/2hvcw1304974629.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.404 0.288 1.669