R version 2.8.0 (2008-10-20) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- c(2648.9,2669.6,3042.3,2604.2,2732.1,2621.7,2483.7,2479.3,2684.6,2834.7,2566.1,2251.2,2350,2299.8,2542.8,2530.2,2508.1,2616.8,2534.1,2181.8,2578.9,2841.9,2529.9,2103.2,2326.2,2452.6,2782.1,2727.3,2648.2,2760.7,2613,2225.4,2713.9,2923.3,2707,2473.9,2521,2531.8,3068.8,2826.9,2674.2,2966.6,2798.8,2629.6,3124.6,3115.7,3083,2863.9,2728.7,2789.4,3225.7,3148.2,2836.5,3153.5,2656.9,2834.7,3172.5,2998.8,3103.1,2735.6,2818.1,2874.4,3438.5,2949.1,3306.8,3530,3003.8,3206.4,3514.6,3522.6,3525.5,2996.2,3231.1,3030,3541.7,3113.2,3390.8,3424.2,3079.8,3123.4,3317.1,3579.9,3317.9,2668.1) > par1 = '12' > #'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] 84 > (np <- floor(n / par1)) [1] 7 > 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] [1,] 2648.9 2350.0 2326.2 2521.0 2728.7 2818.1 3231.1 [2,] 2669.6 2299.8 2452.6 2531.8 2789.4 2874.4 3030.0 [3,] 3042.3 2542.8 2782.1 3068.8 3225.7 3438.5 3541.7 [4,] 2604.2 2530.2 2727.3 2826.9 3148.2 2949.1 3113.2 [5,] 2732.1 2508.1 2648.2 2674.2 2836.5 3306.8 3390.8 [6,] 2621.7 2616.8 2760.7 2966.6 3153.5 3530.0 3424.2 [7,] 2483.7 2534.1 2613.0 2798.8 2656.9 3003.8 3079.8 [8,] 2479.3 2181.8 2225.4 2629.6 2834.7 3206.4 3123.4 [9,] 2684.6 2578.9 2713.9 3124.6 3172.5 3514.6 3317.1 [10,] 2834.7 2841.9 2923.3 3115.7 2998.8 3522.6 3579.9 [11,] 2566.1 2529.9 2707.0 3083.0 3103.1 3525.5 3317.9 [12,] 2251.2 2103.2 2473.9 2863.9 2735.6 2996.2 2668.1 > 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] 2634.867 2468.125 2612.800 2850.408 2948.633 3223.833 3234.767 > arr.sd [1] 195.2531 202.4214 203.9566 224.4346 205.5653 281.9171 252.5319 > arr.range [1] 791.1 738.7 697.9 603.6 568.8 711.9 911.8 > (lm1 <- lm(arr.sd~arr.mean)) Call: lm(formula = arr.sd ~ arr.mean) Coefficients: (Intercept) arr.mean -37.6388 0.0916 > (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) Call: lm(formula = log(arr.sd) ~ log(arr.mean)) Coefficients: (Intercept) log(arr.mean) -3.403 1.107 > (lm2 <- lm(arr.range~arr.mean)) Call: lm(formula = arr.range ~ arr.mean) Coefficients: (Intercept) arr.mean 515.54095 0.07084 > postscript(file="/var/www/html/freestat/rcomp/tmp/1f8cy1228997970.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/freestat/rcomp/tmp/2vjsy1228997970.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/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/3s0g21228997970.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/freestat/rcomp/tmp/4nx0t1228997970.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/freestat/rcomp/tmp/5mxiq1228997970.tab") > > system("convert tmp/1f8cy1228997970.ps tmp/1f8cy1228997970.png") > system("convert tmp/2vjsy1228997970.ps tmp/2vjsy1228997970.png") > > > proc.time() user system elapsed 0.756 0.415 0.938