Home » date » 2011 » Feb » 27 »

verkoop koffie in ton (*1000) per maand

*Unverified author*
R Software Module: /rwasp_univariatedataseries.wasp (opens new window with default values)
Title produced by software: Univariate Data Series
Date of computation: Sun, 27 Feb 2011 13:17:29 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2011/Feb/27/t1298812485lxrt0w54nuv4g0g.htm/, Retrieved Sun, 27 Feb 2011 14:14:47 +0100
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
KDGP1W22
 
Dataseries X:
» Textbox « » Textfile « » CSV «
600 425 398 582 458 455 621 635 589 220 351 379 683 524 536 598 581 632 645 722 689 645 354 486 423 479 684 601 608 463 602 485 563 645 486 435 479 579 563 202 389 467 466 706 546 689 531 528 579 684 651 637 548 496 582 467 693 615 708 648 899 852 745 689 582 674 684 542 489 472 398 486 549 766 654 628 689 648 578 536 548 496 475 687 642 584 596 609 678 694 485 489 537 706 489 598
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 216.218.223.82


Univariate Dataseries
Name of dataseriesverkoop koffie per ton (*1000)
SourceGreen Bean BVBA
Descriptionverkoop koofie per ton (*1000)
Number of observations96
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2011/Feb/27/t1298812485lxrt0w54nuv4g0g/136xw1298812646.png (open in new window)
http://www.freestatistics.org/blog/date/2011/Feb/27/t1298812485lxrt0w54nuv4g0g/136xw1298812646.ps (open in new window)


 
Parameters (Session):
par1 = verkoop koffie per ton (*1000) ; par2 = Green Bean BVBA ; par3 = verkoop koofie per ton (*1000) ; par4 = 12 ;
 
Parameters (R input):
par1 = verkoop koffie per ton (*1000) ; par2 = Green Bean BVBA ; par3 = verkoop koofie per ton (*1000) ; par4 = 12 ;
 
R code (references can be found in the software module):
if (par4 != 'No season') {
par4 <- as.numeric(par4)
if (par4 < 4) par4 <- 12
}
summary(x)
n <- length(x)
bitmap(file='test1.png')
if (par4=='No season') {
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
axis(1,at=seq(1,n,10))
}
if (par4!='No season') {
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
axis(1,at=seq(1,n,par4))
grid(nx=0,ny=NULL,col='black')
abline(v=seq(1,n,par4),col='black',lty='dotted')
}
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')
 





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