Classical Deomposition - consumptie wijn - veronika kaplova

*Unverified author*

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

Title produced by software: Classical Decomposition

Date of computation: Mon, 24 May 2010 20:25:23 +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/24/t1274732807bik8j2wsa96q36j.htm/, Retrieved Mon, 24 May 2010 22:26:48 +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/24/t1274732807bik8j2wsa96q36j.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 «

2550 2867 3458 2961 3163 2880 3331 3062 3534 3622 4464 5411 2564 2820 3508 3088 3299 2939 3320 3418 3604 3495 4163 4882 2211 3260 2992 2425 2707 3244 3965 3315 3333 3583 4021 4904 2252 2952 3573 3048 3059 2731 3563 3092 3478 3478 4308 5029 2075 3264 3308 3688 3136 2824 3644 4694 2914 3686 4358 5587 2265 3685 3754 3708 3210 3517 3905 3670 4221 4404 5086 5725 2367 3819 4067 4022 3937 4365 4290

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 2 seconds R Server 'RServer@AstonUniversity' @ vre.aston.ac.uk Classical Decomposition by Moving Averages t Observations Fit Trend Seasonal Random 1 2550 NA NA 0.655466181107409 NA 2 2867 NA NA 0.9167101380858 NA 3 3458 NA NA 0.980675474116908 NA 4 2961 NA NA 0.907120714371436 NA 5 3163 NA NA 0.877008802096257 NA 6 2880 NA NA 0.865573822385454 NA 7 3331 3600.60537664012 3442.5 1.04592748776764 0.925122209062605 8 3062 3540.40314571573 3441.125 1.0288504909632 0.864873257076769 9 3534 3408.060721761 3441.25 0.9903554585575 1.0369533551544 10 3622 3609.73662690427 3448.625 1.04671764164102 1.00339730411474 11 4464 4248.36851668128 3459.58333333333 1.22800005299712 1.05075630385454 12 5411 5054.50994463045 3467.70833333333 1.45759373591025 1.07052910356785 13 2564 2274.27647080655 3469.70833333333 0.655466181107409 1.12739151678015 14 2820 3193.89451360244 3484.08333333333 0.9167101380858 0.882934607886998 15 3508 3434.16206444506 3501.83333333333 0.980675474116908 1.02150100495239 16 3088 3174.43114324641 3499.45833333333 0.907120714371436 0.972772714434116 17 3299 3053.41577059838 3481.625 0.877008802096257 1.08042934465931 18 2939 2983.66903133859 3447.04166666667 0.865573822385454 0.985028824956985 19 3320 3566.9177954716 3410.29166666667 1.04592748776764 0.930775585637248 20 3418 3512.40983860744 3413.91666666667 1.0288504909632 0.973121064185133 21 3604 3377.85488027499 3410.75 0.9903554585575 1.06694932960134 22 3495 3518.6721920815 3361.625 1.04671764164102 0.993272407661397 23 4163 4063.86150871846 3309.33333333333 1.22800005299712 1.02439514512708 24 4882 4806.23314494707 3297.375 1.45759373591025 1.01576429040538 25 2211 2187.26333526454 3336.95833333333 0.655466181107409 1.01085222083357 26 3260 3079.725905155 3359.54166666667 0.9167101380858 1.05853575947887 27 2992 3279.33792396885 3343.95833333333 0.980675474116908 0.91237928794447 28 2425 3026.45707671457 3336.33333333333 0.907120714371436 0.801266939702482 29 2707 2924.02043025576 3334.08333333333 0.877008802096257 0.925780125196738 30 3244 2881.56738587304 3329.08333333333 0.865573822385454 1.12577620634652 31 3965 3484.72532705786 3331.70833333333 1.04592748776764 1.13782282041369 32 3315 3416.38379278421 3320.58333333333 1.0288504909632 0.970324237868608 33 3333 3299.82312310281 3331.95833333333 0.9903554585575 1.01005413795209 34 3583 3540.12990373515 3382.125 1.04671764164102 1.01210975230588 35 4021 4203.13718139588 3422.75 1.22800005299712 0.956666372393918 36 4904 4979.20093494175 3416.04166666667 1.45759373591025 0.984896987302917 37 2252 2214.11013759907 3377.91666666667 0.655466181107409 1.01711290769032 38 2952 3072.69779409634 3351.875 0.9167101380858 0.960719275963864 39 3573 3283.91440951473 3348.625 0.980675474116908 1.0880307932654 40 3048 3039.11897001933 3350.29166666667 0.907120714371436 1.00292223834219 41 3059 2944.88593133897 3357.875 0.877008802096257 1.03874991131122 42 2731 2921.34771612684 3375.04166666667 0.865573822385454 0.934842499208138 43 3563 3527.7826753043 3372.875 1.04592748776764 1.00998284983433 44 3092 3475.97138371916 3378.5 1.0288504909632 0.889535516455166 45 3478 3347.85536284285 3380.45833333333 0.9903554585575 1.03887403219434 46 3478 3554.74033748305 3396.08333333333 1.04671764164102 0.978411830345564 47 4308 4207.07701489925 3425.95833333333 1.22800005299712 1.02398886085121 48 5029 5003.98002845223 3433.04166666667 1.45759373591025 1.00500001426974 49 2075 2254.99484064564 3440.29166666667 0.655466181107409 0.92017948892774 50 3264 3218.0345472387 3510.41666666667 0.9167101380858 1.01428370394617 51 3308 3484.99374318679 3553.66666666667 0.980675474116908 0.94921260804763 52 3688 3210.14902137478 3538.83333333333 0.907120714371436 1.14885632269513 53 3136 3113.01582710751 3549.58333333333 0.877008802096257 1.00738324961035 54 2824 3094.35428387613 3574.91666666667 0.865573822385454 0.912629822226602 55 3644 3771.70168151411 3606.08333333333 1.04592748776764 0.966142157493526 56 4694 3736.3134267033 3631.54166666667 1.0288504909632 1.25631858570861 57 2914 3632.29370350272 3667.66666666667 0.9903554585575 0.802247901151261 58 3686 3859.33517120059 3687.08333333333 1.04671764164102 0.955086779584716 59 4358 4532.54819561236 3691 1.22800005299712 0.961490051935613 60 5587 5426.56074572154 3722.95833333333 1.45759373591025 1.02956555022533 61 2265 2466.32806187102 3762.70833333333 0.655466181107409 0.918369309832087 62 3685 3420.16913268661 3730.91666666667 0.9167101380858 1.07743209678796 63 3754 3670.38226927297 3742.70833333333 0.980675474116908 1.02278174985397 64 3708 3471.62656729235 3827.08333333333 0.907120714371436 1.06808722888995 65 3210 3409.22555001552 3887.33333333333 0.877008802096257 0.941562813286257 66 3517 3396.00676097746 3923.41666666667 0.865573822385454 1.03562809132562 67 3905 4114.06861251005 3933.41666666667 1.04592748776764 0.94918203068507 68 3670 4057.01469849062 3943.25 1.0288504909632 0.904606039846341 69 4221 3923.66453237249 3961.875 0.9903554585575 1.07578004316483 70 4404 4174.3099548644 3988 1.04671764164102 1.05502467416631 71 5086 4950.52871365126 4031.375 1.22800005299712 1.02736501375604 72 5725 5971.76153602431 4097 1.45759373591025 0.958678601860484 73 2367 NA 4148.375 NA NA 74 3819 NA NA NA NA 75 4067 NA NA NA NA 76 4022 NA NA NA NA 77 3937 NA NA NA NA 78 4365 NA NA NA NA 79 4290 NA NA NA NA

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/May/24/t1274732807bik8j2wsa96q36j/1d3vc1274732720.png (open in new window) http://www.freestatistics.org/blog/date/2010/May/24/t1274732807bik8j2wsa96q36j/1d3vc1274732720.ps (open in new window) http://www.freestatistics.org/blog/date/2010/May/24/t1274732807bik8j2wsa96q36j/2d3vc1274732720.png (open in new window) http://www.freestatistics.org/blog/date/2010/May/24/t1274732807bik8j2wsa96q36j/2d3vc1274732720.ps (open in new window) http://www.freestatistics.org/blog/date/2010/May/24/t1274732807bik8j2wsa96q36j/36vdf1274732720.png (open in new window) http://www.freestatistics.org/blog/date/2010/May/24/t1274732807bik8j2wsa96q36j/36vdf1274732720.ps (open in new window) http://www.freestatistics.org/blog/date/2010/May/24/t1274732807bik8j2wsa96q36j/46vdf1274732720.png (open in new window) http://www.freestatistics.org/blog/date/2010/May/24/t1274732807bik8j2wsa96q36j/46vdf1274732720.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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