Duncan Huysmans opdarcht 9 | |||||||||||||||||||||||
| *Unverified author* | |||||||||||||||||||||||
| R Software Module: rwasp_decompose.wasp (opens new window with default values) | |||||||||||||||||||||||
| Title produced by software: Classical Decomposition | |||||||||||||||||||||||
| Date of computation: Mon, 01 Jun 2009 20:56:22 -0600 | |||||||||||||||||||||||
| Cite this page as follows: | |||||||||||||||||||||||
| Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Jun/02/t12439114094rg6vr8ssh8civy.htm/, Retrieved Tue, 02 Jun 2009 04:56:49 +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/2009/Jun/02/t12439114094rg6vr8ssh8civy.htm/},
year = {2009},
}
@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 = {2009},
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: | |||||||||||||||||||||||
| Dataseries X: | |||||||||||||||||||||||
| » Textbox « » Textfile « » CSV « | |||||||||||||||||||||||
| 1889 49.1 1890 52.7 1891 55.1 1892 60.4 1893 57.5 1894 55.9 1895 62.6 1896 61.3 1897 67.1 1898 68.6 1899 74.8 1900 76.9 1901 85.7 1902 86.5 1903 90.8 1904 89.7 1905 96.3 1906 107.5 1907 109.2 1908 100.2 1909 116.8 1910 120.1 1911 123.3 1912 130.2 1913 131.4 1914 125.6 1915 124.5 1916 134.3 1917 135.2 1918 151.8 1919 146.4 1920 140.0 1921 127.8 1922 148.0 1923 165.9 1924 165.5 1925 179.9 1926 190.0 1927 189.8 1928 190.9 1929 203.6 1930 183.5 1931 169.3 1932 144.2 1933 141.5 1934 154.3 1935 169.5 1936 194.0 1937 203.2 1938 192.9 1939 209.4 1940 227.2 1941 263.7 1942 297.8 1943 337.1 1944 361.3 1945 355.2 1946 312.6 1947 309.9 1948 323.7 1949 324.1 1950 355.3 1951 383.4 1952 395.1 1953 412.8 1954 407.0 1955 438.0 1956 446.1 1957 452.5 1958 447.3 1959 475.9 1960 487.7 | |||||||||||||||||||||||
| Output produced by software: | |||||||||||||||||||||||
| Charts produced by software: | | Parameters (Session): | par1 = multiplicative ; par2 = 8 ; | | Parameters (R input): | par1 = multiplicative ; par2 = 8 ; | | 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
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