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paper : blog data

*The author of this computation has been verified*

R Software Module: /rwasp_univariatedataseries.wasp (opens new window with default values)

Title produced by software: Univariate Data Series

Date of computation: Tue, 21 Dec 2010 15:00:30 +0000

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/21/t1292943635py1vs8px9nxoyoj.htm/, Retrieved Mon, 20 May 2013 06:01:04 +0000

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

System-generated keywords (parent):

t1291976227gab99t7ys54gqyo (pk = 107495)

Estimated Impact

Dataseries X:

» Textfile « » CSV « » Stem and Leaf « » Histogram « » Kernel Density « » Harrell-Davis Quantiles « » Central Tendency « » Variability «

Output produced by software:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Univariate Dataseries
Name of dataseries	Inflatie België
Source	http://statbel.fgov.be/nl/statistieken/cijfers/economie/ondernemingen/faillissementen/jaarreeks/index.jsp
Description	Faillissementen België
Number of observations	72

Charts produced by software:

http://www.freestatistics.org/blog/date/2010/Dec/21/t1292943635py1vs8px9nxoyoj/1kpk51292943628.png (opens in new window)

http://www.freestatistics.org/blog/date/2010/Dec/21/t1292943635py1vs8px9nxoyoj/1kpk51292943628.ps (opens in new window)

Click here to open pdf file.

Parameters (Session):

par1 = Inflatie België ; par2 = http://statbel.fgov.be/nl/statistieken/cijfers/economie/ondernemingen/faillissementen/jaarreeks/index.jsp ; par3 = Faillissementen België ; par4 = 12 ;

Parameters (R input):

par1 = Inflatie België ; par2 = http://statbel.fgov.be/nl/statistieken/cijfers/economie/ondernemingen/faillissementen/jaarreeks/index.jsp ; par3 = Faillissementen België ; 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')