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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationMon, 31 Jul 2017 01:03:55 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Jul/31/t1501455846a3lf1anpyodhkqp.htm/, Retrieved Wed, 15 May 2024 08:21:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=306824, Retrieved Wed, 15 May 2024 08:21:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [] [2017-07-30 23:03:55] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1 755 000
1 690 000
1 787 500
1 430 000
1 852 500
1 820 000
1 950 000
2 015 000
2 242 500
1 950 000
1 852 500
2 307 500
1 950 000
1 462 500
1 722 500
1 300 000
1 820 000
1 495 000
1 982 500
1 787 500
1 885 000
2 112 500
2 080 000
2 470 000
1 787 500
1 495 000
1 657 500
1 202 500
1 722 500
1 332 500
1 885 000
1 787 500
1 592 500
2 275 000
2 047 500
2 340 000
1 755 000
1 625 000
1 462 500
1 202 500
1 592 500
1 430 000
1 950 000
1 885 000
1 625 000
2 177 500
2 015 000
2 600 000
2 080 000
1 267 500
1 267 500
1 267 500
1 495 000
1 495 000
2 015 000
1 852 500
1 657 500
2 080 000
1 917 500
2 762 500
2 177 500
1 267 500
1 332 500
1 105 000
1 527 500
1 755 000
2 210 000
2 177 500
1 755 000
2 047 500
1 820 000
2 600 000
1 982 500
1 592 500
1 430 000
1 072 500
1 592 500
1 917 500
2 242 500
2 112 500
1 560 000
2 242 500
1 755 000
2 697 500
2 242 500
1 625 000
1 495 000
1 007 500
1 592 500
1 527 500
2 307 500
2 307 500
1 755 000
2 275 000
1 690 000
2 632 500
2 242 500
1 657 500
1 267 500
877 500
1 722 500
1 657 500
2 177 500
2 502 500
1 852 500
2 080 000
1 560 000
2 697 500

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=306824&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=306824&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306824&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = Aantal verkochte exemplaren ; par2 = "niet gekend" ; par3 = Aantal verkochte exemplaren Le Monde 2008-2016 ; 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')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary Statistics of dataseries x',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('summary(x)'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')