x <- c(13328,12873,14000,13477,14237,13674,13529,14058,12975,14326,14008,16193,14483,14011,15057,14884,15414,14440,14900,15074,14442,15307,14938,17193,15528,14765,15838,15723,16150,15486,15986,15983,15692,16490,15686,18897,16316,15636,17163,16534,16518,16375,16290,16352,15943,16362,16393,19051,16747,16320,17910,16961,17480,17049,16879,17473,16998,17307,17418,20169,17871,17226,19062,17804,19100,18522,18060,18869,18127,18871,18890,21263,19547,18450,20254,19240,20216,19420,19415,20018,18652,19978,19509,21971)
par4 = '12'
par3 = 'US Retail Sales: Health and personal care stores: NAICS 446: NSA: Millions of dollars'
par2 = 'http://www.economagic.com'
par1 = 'HPC Retail Sales'
ylimmax = ''
ylimmin = ''
ylab = 'value'
xlab = 'index or time'
main = ''
postscript(file="/var/wessaorg/rcomp/tmp/1z1zs1317759478.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab)
dev.off()

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

a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Univariate Dataseries',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file="/var/wessaorg/rcomp/tmp/2lr1d1317759478.tab") 

try(system("convert tmp/1z1zs1317759478.ps tmp/1z1zs1317759478.png",intern=TRUE))