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Data:
9983174. 0083415. 8883126. 1184830. 0084372. 4485237. 9984834. 9985428. 4486591. 8886533. 0086431. 0087500. 6687723. 3388576. 9989435. 7788846. 2289935. 6689498. 2290215. 3390291. 5590336. 1191264. 8891607. 7791739. 8892667. 3393482. 6693550. 8893444. 2292999. 7793399. 3394903. 2295435. 2295548. 1195580. 1197029. 2296181. 5598471. 3397074. 8897299. 2297029. 8898373. 5598446. 5598968. 9999442. 8101985. 2103313. 8105901. 5107783. 4105912. 9105393. 2104611. 2104038. 4103662. 0103799. 9103530. 9104189. 1105285. 6105739. 4104766. 3104778. 1105846. 3106609. 7107271. 3109247. 5109579. 0110037. 2110080. 0111547. 2109895. 2111554. 7111105. 0112445. 5112202. 2112334. 4112661. 2112594. 0113504. 8113709. 6114311. 9113542. 5113905. 4114435. 5116184. 5116170. 0116272. 5116457. 9116906. 3117024. 2117134. 9117126. 7116263.
Name of dataseries
Source
Description
Season
12
6
4
No season
Chart options
Title:
Label y-axis:
Label x-axis:
Y-axis minimum
Y-axis maximum
R Code
bitmap(file='test1.png') plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab) dev.off() load(file='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='mytable.tab')
Compute
Summary of computational transaction
Raw Input
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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