Retail sales and food services - Isabelle Hoes

*Unverified author*

R Software Module: /rwasp_decompose.wasp (opens new window with default values)

Title produced by software: Classical Decomposition

Date of computation: Sat, 22 May 2010 23:54:07 +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/May/23/t127457262212jr1y7ligalvw2.htm/, Retrieved Sun, 23 May 2010 01:57:02 +0200

BibTeX entries for LaTeX users:

@Manual{KEY, author = {{YOUR NAME}}, publisher = {Office for Research Development and Education}, title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/May/23/t127457262212jr1y7ligalvw2.htm/}, year = {2010}, } @Manual{R, title = {R: A Language and Environment for Statistical Computing}, author = {{R Development Core Team}}, organization = {R Foundation for Statistical Computing}, address = {Vienna, Austria}, year = {2010}, note = {{ISBN} 3-900051-07-0}, url = {http://www.R-project.org}, }

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

KDGP2W52

Dataseries X:

» Textbox « » Textfile « » CSV «

357704 281463 282445 319107 315278 328499 321151 328025 326280 313444 319639 324067 386918 293009 294822 338844 335407 345080 350608 351285 355147 332791 335615 343202 404868 317902 313552 361505 351436 373350 366310 361669 375078 345547 348117 356089 416856 328087 322747 373626 358275 391287 376371 371848 387261 353159 367855 376822 425283 342191 344062 373587 370144 399979 380431 385909 384798 352554 352479 338788 387964 313593 304056 334149 336155 354668 351418 354316 359483 330411 344726 347175

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 3 seconds R Server 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 Classical Decomposition by Moving Averages t Observations Fit Trend Seasonal Random 1 357704 NA NA 1.14598247101246 NA 2 281463 NA NA 0.901957858125932 NA 3 282445 NA NA 0.891855154779054 NA 4 319107 NA NA 1.00535075315857 NA 5 315278 NA NA 0.987498053952509 NA 6 328499 NA NA 1.04916044887786 NA 7 321151 326851.658421699 319309.083333333 1.02362154878160 0.98255888175931 8 328025 328904.470378775 321007.416666667 1.02460084503377 0.997326061340054 9 326280 334762.292088832 322004.208333333 1.03962086030345 0.97466174569452 10 313444 312052.247687432 323342.291666667 0.965083305616965 1.00445999771795 11 319639 318150.420003593 325003.375 0.978914203594327 1.00467885598388 12 324067 322077.251793572 326532.958333333 0.986354496763502 1.00617786011073 13 386918 376399.327332862 328451.208333333 1.14598247101246 1.02794551398822 14 293009 298230.336384159 330647.75 0.901957858125932 0.982492269406715 15 294822 296826.972489145 332819.708333333 0.891855154779054 0.993245315705876 16 338844 336620.210322799 334828.625 1.00535075315857 1.00660622746052 17 335407 332096.007001751 336300.416666667 0.987498053952509 1.00996998737847 18 345080 354367.9741295 337763.375 1.04916044887786 0.973790029552428 19 350608 347323.577586556 339308.583333333 1.02362154878160 1.00945637620189 20 351285 349484.901794036 341093.708333333 1.02460084503377 1.00515071809032 21 355147 356497.775367804 342911.333333333 1.03962086030345 0.996210985141743 22 332791 332602.409902804 344635.958333333 0.965083305616965 1.00056701362221 23 335615 338947.12595422 346248.041666667 0.978914203594327 0.990169186580829 24 343202 343343.917803978 348093.833333333 0.986354496763502 0.999586659915557 25 404868 401009.062151506 349926 1.14598247101246 1.00962306893463 26 317902 316598.858491203 351012.916666667 0.901957858125932 1.00411606508946 27 313552 314179.203665578 352276.041666667 0.891855154779054 0.998003675423898 28 361505 355530.229645491 353638 1.00535075315857 1.01680523864445 29 351436 350256.096213938 354690.416666667 0.987498053952509 1.00336868879319 30 373350 373237.037372531 355748.291666667 1.04916044887786 1.00030265653233 31 366310 365212.558376655 356784.75 1.02362154878160 1.00300493944738 32 361669 366508.559450869 357708.625 1.02460084503377 0.986795507700776 33 375078 372720.842305160 358516.125 1.03962086030345 1.00632419072747 34 345547 346855.081854591 359404.291666667 0.965083305616965 0.996228736659713 35 348117 352599.308166098 360194.291666667 0.978914203594327 0.987287813497393 36 356089 356297.505919453 361226.625 0.986354496763502 0.999414798262718 37 416856 415296.264363967 362393.208333333 1.14598247101246 1.00375571795336 38 328087 327624.053114738 363236.541666667 0.901957858125932 1.00141304303167 39 322747 324785.368129999 364168.291666667 0.891855154779054 0.993723953324206 40 373626 366946.071226836 364993.083333333 1.00535075315857 1.01820411580053 41 358275 361555.295821776 366132.666666667 0.987498053952509 0.990927263797035 42 391287 385901.103430786 367818.958333333 1.04916044887786 1.01395667574239 43 376371 377751.11198217 369033.958333333 1.02362154878160 0.996346504514763 44 371848 379074.392289469 369972.75 1.02460084503377 0.980936743719818 45 387261 386165.652445963 371448.541666667 1.03962086030345 1.00283647068842 46 353159 359334.332808697 372335.041666667 0.965083305616965 0.982814520503988 47 367855 364966.583909574 372827.958333333 0.978914203594327 1.00791419329267 48 376822 368585.551338237 373684.666666667 0.986354496763502 1.02234609748499 49 425283 428844.976372399 374216 1.14598247101246 0.991694023321599 50 342191 338208.077600916 374971.041666667 0.901957858125932 1.01177654427220 51 344062 334850.845406835 375454.291666667 0.891855154779054 1.02750823155896 52 373587 377334.737565755 375326.458333333 1.00535075315857 0.990067870268365 53 370144 369976.596934379 374660.583333333 0.987498053952509 1.00045246933727 54 399979 390744.246637900 372435.166666667 1.04916044887786 1.02363375389800 55 380431 378018.789017176 369295.458333333 1.02362154878160 1.00638119335046 56 385909 375566.329762880 366548.916666667 1.02460084503377 1.02753886442283 57 384798 378100.143859121 363690.416666667 1.03962086030345 1.01771450302165 58 352554 347796.962949068 360380.25 0.965083305616965 1.01367762676993 59 352479 349786.398202069 357320.791666667 0.978914203594327 1.00769784591903 60 338788 349185.889997788 354016.625 0.986354496763502 0.970222479499804 61 387964 402147.929981344 350919.791666667 1.14598247101246 0.96472957107599 62 313593 314237.194584433 348394.541666667 0.901957858125932 0.99794997347375 63 304056 308602.730667796 346023.375 0.891855154779054 0.985266719260854 64 334149 345886.863331579 344045.958333333 1.00535075315857 0.96606444309992 65 336155 338514.620915186 342800.291666667 0.987498053952509 0.993029485967825 66 354668 359680.223202318 342826.708333333 1.04916044887786 0.986064779548641 67 351418 NA NA 1.02362154878160 NA 68 354316 NA NA 1.02460084503377 NA 69 359483 NA NA 1.03962086030345 NA 70 330411 NA NA 0.965083305616965 NA 71 344726 NA NA 0.978914203594327 NA 72 347175 NA NA 0.986354496763502 NA

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/May/23/t127457262212jr1y7ligalvw2/1m5l51274572443.png (open in new window) http://www.freestatistics.org/blog/date/2010/May/23/t127457262212jr1y7ligalvw2/1m5l51274572443.ps (open in new window) http://www.freestatistics.org/blog/date/2010/May/23/t127457262212jr1y7ligalvw2/2m5l51274572443.png (open in new window) http://www.freestatistics.org/blog/date/2010/May/23/t127457262212jr1y7ligalvw2/2m5l51274572443.ps (open in new window) http://www.freestatistics.org/blog/date/2010/May/23/t127457262212jr1y7ligalvw2/3fwk91274572443.png (open in new window) http://www.freestatistics.org/blog/date/2010/May/23/t127457262212jr1y7ligalvw2/3fwk91274572443.ps (open in new window) http://www.freestatistics.org/blog/date/2010/May/23/t127457262212jr1y7ligalvw2/4fwk91274572443.png (open in new window) http://www.freestatistics.org/blog/date/2010/May/23/t127457262212jr1y7ligalvw2/4fwk91274572443.ps (open in new window)

Parameters (Session):

par1 = multiplicative ; par2 = 12 ;

Parameters (R input):

par1 = multiplicative ; par2 = 12 ;

R code (references can be found in the software module):

par2 <- as.numeric(par2) x <- ts(x,freq=par2) m <- decompose(x,type=par1) m$figure bitmap(file='test1.png') plot(m) dev.off() mylagmax <- length(x)/2 bitmap(file='test2.png') op <- par(mfrow = c(2,2)) acf(as.numeric(x),lag.max = mylagmax,main='Observed') acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend') acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal') acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random') par(op) dev.off() bitmap(file='test3.png') op <- par(mfrow = c(2,2)) spectrum(as.numeric(x),main='Observed') spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend') spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal') spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random') par(op) dev.off() bitmap(file='test4.png') op <- par(mfrow = c(2,2)) cpgram(as.numeric(x),main='Observed') cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend') cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal') cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random') par(op) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'t',header=TRUE) a<-table.element(a,'Observations',header=TRUE) a<-table.element(a,'Fit',header=TRUE) a<-table.element(a,'Trend',header=TRUE) a<-table.element(a,'Seasonal',header=TRUE) a<-table.element(a,'Random',header=TRUE) a<-table.row.end(a) for (i in 1:length(m$trend)) { a<-table.row.start(a) a<-table.element(a,i,header=TRUE) a<-table.element(a,x[i]) if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i]) a<-table.element(a,m$trend[i]) a<-table.element(a,m$seasonal[i]) a<-table.element(a,m$random[i]) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab')

Copyright

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

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