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*The author of this computation has been verified* R Software Module: /rwasp_spectrum.wasp (opens new window with default values) Title produced by software: Spectral Analysis Date of computation: Thu, 16 Dec 2010 15:15:54 +0000   Cite this page as follows: Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/16/t1292512546wuvp97pi4zr1f08.htm/, Retrieved Tue, 21 May 2013 21:26:28 +0000   Original text written by user:   IsPrivate? No (this computation is public)   User-defined keywords:   System-generated keywords (parent): t1259181068t3xvzuz9jhcxtv6 (pk = 59623) Estimated Impact 36   Dataseries X: » Textfile « » CSV « » Stem and Leaf « » Histogram « » Kernel Density « » Harrell-Davis Quantiles « » Central Tendency « » Variability « 112.3 117.3 111.1 102.2 104.3 122.9 107.6 121.3 131.5 89 104.4 128.9 135.9 133.3 121.3 120.5 120.4 137.9 126.1 133.2 151.1 105 119 140.4 156.6 137.1 122.7 125.8 139.3 134.9 149.2 132.3 149 117.2 119.6 152 149.4 127.3 114.1 102.1 107.7 104.4 102.1 96 109.3 90 83.9 112 114.3 103.6 91.7 80.8 87.2 109.2 102.7 95.1 117.5 85.1 92.1 113.5   Output produced by software: Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'RServer@AstonUniversity' @ vre.aston.ac.uk Raw Periodogram Parameter Value Box-Cox transformation parameter (lambda) 1 Degree of non-seasonal differencing (d) 0 Degree of seasonal differencing (D) 0 Seasonal Period (s) 12 Frequency (Period) Spectrum 0.0167 (60) 3446.952866 0.0333 (30) 829.956311 0.05 (20) 398.741084 0.0667 (15) 62.627157 0.0833 (12) 200.254607 0.1 (10) 88.666974 0.1167 (8.5714) 35.381986 0.1333 (7.5) 6.616839 0.15 (6.6667) 7.258815 0.1667 (6) 1656.493651 0.1833 (5.4545) 135.601129 0.2 (5) 31.750058 0.2167 (4.6154) 91.665089 0.2333 (4.2857) 150.12109 0.25 (4) 779.762674 0.2667 (3.75) 75.584515 0.2833 (3.5294) 1.23062 0.3 (3.3333) 28.032129 0.3167 (3.1579) 35.550212 0.3333 (3) 612.000444 0.35 (2.8571) 62.547514 0.3667 (2.7273) 9.440265 0.3833 (2.6087) 14.598113 0.4 (2.5) 172.236477 0.4167 (2.4) 190.835412 0.4333 (2.3077) 33.703583 0.45 (2.2222) 1.86342 0.4667 (2.1429) 28.210205 0.4833 (2.069) 51.760411 0.5 (2) 131.651775   Charts produced by software: http://www.freestatistics.org/blog/date/2010/Dec/16/t1292512546wuvp97pi4zr1f08/1nzl71292512552.png (opens in new window) http://www.freestatistics.org/blog/date/2010/Dec/16/t1292512546wuvp97pi4zr1f08/1nzl71292512552.ps (opens in new window) Click here to open pdf file. http://www.freestatistics.org/blog/date/2010/Dec/16/t1292512546wuvp97pi4zr1f08/2y8ls1292512552.png (opens in new window) http://www.freestatistics.org/blog/date/2010/Dec/16/t1292512546wuvp97pi4zr1f08/2y8ls1292512552.ps (opens in new window) Click here to open pdf file.   Parameters (Session): par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;   Parameters (R input): par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;   R code (references can be found in the software module): par1 <- as.numeric(par1) par2 <- as.numeric(par2) par3 <- as.numeric(par3) par4 <- as.numeric(par4) if (par1 == 0) { x <- log(x) } else { x <- (x ^ par1 - 1) / par1 } if (par2 > 0) x <- diff(x,lag=1,difference=par2) if (par3 > 0) x <- diff(x,lag=par4,difference=par3) bitmap(file='test1.png') r <- spectrum(x,main='Raw Periodogram') dev.off() bitmap(file='test2.png') cpgram(x,main='Cumulative Periodogram') dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Raw Periodogram',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Parameter',header=TRUE) a<-table.element(a,'Value',header=TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Box-Cox transformation parameter (lambda)',header=TRUE) a<-table.element(a,par1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Degree of non-seasonal differencing (d)',header=TRUE) a<-table.element(a,par2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Degree of seasonal differencing (D)',header=TRUE) a<-table.element(a,par3) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Seasonal Period (s)',header=TRUE) a<-table.element(a,par4) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Frequency (Period)',header=TRUE) a<-table.element(a,'Spectrum',header=TRUE) a<-table.row.end(a) for (i in 1:length(r$freq)) { a<-table.row.start(a) mylab <- round(r$freq[i],4) mylab <- paste(mylab,' (',sep='') mylab <- paste(mylab,round(1/r$freq[i],4),sep='') mylab <- paste(mylab,')',sep='') a<-table.element(a,mylab,header=TRUE) a<-table.element(a,round(r$spec[i],6)) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab')