x <- c(235.1
,280.7
,264.6
,240.7
,201.4
,240.8
,241.1
,223.8
,206.1
,174.7
,203.3
,220.5
,299.5
,347.4
,338.3
,327.7
,351.6
,396.6
,438.8
,395.6
,363.5
,378.8
,357
,369
,464.8
,479.1
,431.3
,366.5
,326.3
,355.1
,331.6
,261.3
,249
,205.5
,235.6
,240.9
,264.9
,253.8
,232.3
,193.8
,177
,213.2
,207.2
,180.6
,188.6
,175.4
,199
,179.6
,225.8
,234
,200.2
,183.6
,178.2
,203.2
,208.5
,191.8
,172.8
,148
,159.4
,154.5
,213.2
,196.4
,182.8
,176.4
,153.6
,173.2
,171
,151.2
,161.9
,157.2
,201.7
,236.4
,356.1
,398.3
,403.7
,384.6
,365.8
,368.1
,367.9
,347
,343.3
,292.9
,311.5
,300.9
,366.9
,356.9
,329.7
,316.2
,269
,289.3
,266.2
,253.6
,233.8
,228.4
,253.6
,260.1
,306.6
,309.2
,309.5
,271
,279.9
,317.9
,298.4
,246.7
,227.3
,209.1
,259.9
,266
,320.6
,308.5
,282.2
,262.7
,263.5
,313.1
,284.3
,252.6
,250.3
,246.5
,312.7
,333.2
,446.4
,511.6
,515.5
,506.4
,483.2
,522.3
,509.8
,460.7
,405.8
,375
,378.5
,406.8
,467.8
,469.8
,429.8
,355.8
,332.7
,378
,360.5
,334.7
,319.5
,323.1
,363.6
,352.1
,411.9
,388.6
,416.4
,360.7
,338
,417.2
,388.4
,371.1
,331.5
,353.7
,396.7
,447
,533.5
,565.4
,542.3
,488.7
,467.1
,531.3
,496.1
,444
,403.4
,386.3
,394.1
,404.1
,462.1
,448.1
,432.3
,386.3
,395.2
,421.9
,382.9
,384.2
,345.5
,323.4
,372.6
,376
,462.7
,487
,444.2
,399.3
,394.9
,455.4
,414
,375.5
,347
,339.4
,385.8
,378.8
,451.8
,446.1
,422.5
,383.1
,352.8
,445.3
,367.5
,355.1
,326.2
,319.8
,331.8
,340.9
,394.1
,417.2
,369.9
,349.2
,321.4
,405.7
,342.9
,316.5
,284.2
,270.9
,288.8
,278.8
,324.4
,310.9
,299
,273
,279.3
,359.2
,305
,282.1
,250.3
,246.5
,257.9
,266.5
,315.9
,318.4
,295.4
,266.4
,245.8
,362.8
,324.9
,294.2
,289.5
,295.2
,290.3
,272
,307.4
,328.7
,292.9
,249.1
,230.4
,361.5
,321.7
,277.2
,260.7
,251
,257.6
,241.8
,287.5
,292.3
,274.7
,254.2
,230
,339
,318.2
,287
,295.8
,284
,271
,262.7
,340.6
,379.4
,373.3
,355.2
,338.4
,466.9
,451
,422
,429.2
,425.9
,460.7
,463.6
,541.4
,544.2
,517.5
,469.4
,439.4
,549
,533
,506.1
,484
,457
,481.5
,469.5
,544.7
,541.2
,521.5
,469.7
,434.4
,542.6
,517.3
,485.7
,465.8
,447
,426.6
,411.6
,467.5
,484.5
,451.2
,417.4
,379.9
,484.7
,455
,420.8
,416.5
,376.3
,405.6
,405.8
,500.8
,514
,475.5
,430.1
,414.4
,538
,526
,488.5
,520.2
,504.4
,568.5
,610.6
,818
,830.9
,835.9
,782
,762.3
,856.9
,820.9
,769.6
,752.2
,724.4
,723.1
,719.5
,817.4
,803.3
,752.5
,689
,630.4
,765.5
,757.7
,732.2
,702.6
,683.3
,709.5
,702.2
,784.8
,810.9
,755.6
,656.8
,615.1
,745.3
,694.1
,675.7
,643.7
,622.1
,634.6
,588
,689.7
,673.9
,647.9
,568.8
,545.7
,632.6
,643.8
,593.1
,579.7
,546
,562.9
,572.5)
par8 = 'FALSE'
par7 = '1'
par6 = ''
par5 = '1'
par4 = ''
par3 = '0'
par2 = 'periodic'
par1 = '12'
main = 'Seasonal Decomposition by Loess'
#'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
#Source of accompanying publication: Office for Research, Development, and Education
#Technical description: Write here your technical program description (don't use hard returns!)
par1 <- as.numeric(par1) #seasonal period
if (par2 != 'periodic') par2 <- as.numeric(par2) #s.window
par3 <- as.numeric(par3) #s.degree
if (par4 == '') par4 <- NULL else par4 <- as.numeric(par4)#t.window
par5 <- as.numeric(par5)#t.degree
if (par6 != '') par6 <- as.numeric(par6)#l.window
par7 <- as.numeric(par7)#l.degree
if (par8 == 'FALSE') par8 <- FALSE else par9 <- TRUE #robust
nx <- length(x)
x <- ts(x,frequency=par1)
if (par6 != '') {
m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.window=par6, l.degree=par7, robust=par8)
} else {
m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.degree=par7, robust=par8)
}
m$time.series
m$win
m$deg
m$jump
m$inner
m$outer
postscript(file="/var/www/rcomp/tmp/1htnr1291909678.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
plot(m,main=main)
dev.off()
mylagmax <- nx/2
postscript(file="/var/www/rcomp/tmp/2htnr1291909678.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$time.series[,'trend']),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$time.series[,'seasonal']),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$time.series[,'remainder']),na.action=na.pass,lag.max = mylagmax,main='Remainder')
par(op)
dev.off()
postscript(file="/var/www/rcomp/tmp/3924c1291909678.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
par(op)
dev.off()
postscript(file="/var/www/rcomp/tmp/4ktlf1291909678.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
par(op)
dev.off()

#Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
load(file="/var/www/rcomp/createtable")

a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Seasonal Decomposition by Loess - Parameters',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Component',header=TRUE)
a<-table.element(a,'Window',header=TRUE)
a<-table.element(a,'Degree',header=TRUE)
a<-table.element(a,'Jump',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,m$win['s'])
a<-table.element(a,m$deg['s'])
a<-table.element(a,m$jump['s'])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,m$win['t'])
a<-table.element(a,m$deg['t'])
a<-table.element(a,m$jump['t'])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Low-pass',header=TRUE)
a<-table.element(a,m$win['l'])
a<-table.element(a,m$deg['l'])
a<-table.element(a,m$jump['l'])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file="/var/www/rcomp/tmp/5gljo1291909678.tab") 
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observed',header=TRUE)
a<-table.element(a,'Fitted',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Remainder',header=TRUE)
a<-table.row.end(a)
for (i in 1:nx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]+m$time.series[i,'remainder'])
a<-table.element(a,m$time.series[i,'seasonal'])
a<-table.element(a,m$time.series[i,'trend'])
a<-table.element(a,m$time.series[i,'remainder'])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file="/var/www/rcomp/tmp/6klhb1291909678.tab") 

try(system("convert tmp/1htnr1291909678.ps tmp/1htnr1291909678.png",intern=TRUE))
try(system("convert tmp/2htnr1291909678.ps tmp/2htnr1291909678.png",intern=TRUE))
try(system("convert tmp/3924c1291909678.ps tmp/3924c1291909678.png",intern=TRUE))
try(system("convert tmp/4ktlf1291909678.ps tmp/4ktlf1291909678.png",intern=TRUE))