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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 computationTue, 07 Dec 2010 19:31:56 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/07/t1291751019ogukv9i00qa4bjc.htm/, Retrieved Sat, 04 May 2024 01:49:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=106684, Retrieved Sat, 04 May 2024 01:49:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPAPER DMA
Estimated Impact100

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] [WS 2] [2009-10-12 18:41:13] [e0fc65a5811681d807296d590d5b45de]
-  MPD  [Univariate Data Series] [Paper; Data Yt] [2009-12-19 14:35:33] [e0fc65a5811681d807296d590d5b45de]
- R PD    [Univariate Data Series] [Paper DMA data Yt] [2010-12-07 18:50:40] [74be16979710d4c4e7c6647856088456]
-   PD        [Univariate Data Series] [PAPAR DMA Data xt ] [2010-12-07 19:31:56] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
25.64
27.97
27.62
23.31
29.07
29.58
28.63
29.92
32.68
31.54
32.43
26.54
25.85
27.6
25.71
25.38
28.57
27.64
25.36
25.9
26.29
21.74
19.2
19.32
19.82
20.36
24.31
25.97
25.61
24.67
25.59
26.09
28.37
27.34
24.46
27.46
30.23
32.33
29.87
24.87
25.48
27.28
28.24
29.58
26.95
29.08
28.76
29.59
30.7
30.52
32.67
33.19
37.13
35.54
37.75
41.84
42.94
49.14
44.61
40.22
44.23
45.85
53.38
53.26
51.8
55.3
57.81
63.96
63.77
59.15
56.12
57.42
63.52
61.71
63.01
68.18
72.03
69.75
74.41
74.33
64.24
60.03
59.44
62.5
55.04
58.34
61.92
67.65
67.68
70.3
75.26
71.44
76.36
81.71
92.6
90.6
92.23
94.09
102.79
109.65
124.05
132.69
135.81
116.07
101.42
75.73
55.48
43.8
45.29

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time35 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 35 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106684&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]35 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106684&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106684&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time35 seconds
R Server'George Udny Yule' @ 72.249.76.132






Univariate Dataseries
Name of dataseriesGrondstoffenmarkt - Olie USD / per barrel
Sourcehttp://www.nbb.be/belgostat/PresentationLinker?Order=true&TableId=227000012&Lang=N&prop=null
DescriptionDataserie Xt Oil
Number of observations109

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Grondstoffenmarkt - Olie USD / per barrel  \tabularnewline
Source & http://www.nbb.be/belgostat/PresentationLinker?Order=true&TableId=227000012&Lang=N&prop=null \tabularnewline
Description & Dataserie Xt Oil \tabularnewline
Number of observations & 109 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106684&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Grondstoffenmarkt - Olie USD / per barrel [/C][/ROW]
[ROW][C]Source[/C][C]http://www.nbb.be/belgostat/PresentationLinker?Order=true&TableId=227000012&Lang=N&prop=null[/C][/ROW]
[ROW][C]Description[/C][C]Dataserie Xt Oil[/C][/ROW]
[ROW][C]Number of observations[/C][C]109[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106684&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106684&T=1

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


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

Univariate Dataseries
Name of dataseriesGrondstoffenmarkt - Olie USD / per barrel
Sourcehttp://www.nbb.be/belgostat/PresentationLinker?Order=true&TableId=227000012&Lang=N&prop=null
DescriptionDataserie Xt Oil
Number of observations109


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Grondstoffenmarkt - Olie USD / per barrel ; par2 = http://www.nbb.be/belgostat/PresentationLinker?Order=true&TableId=227000012&Lang=N&prop=null ; par3 = Dataserie Xt Oil ; par4 = 12 ;
Parameters (R input):
par1 = Grondstoffenmarkt - Olie USD / per barrel ; par2 = http://www.nbb.be/belgostat/PresentationLinker?Order=true&TableId=227000012&Lang=N&prop=null ; par3 = Dataserie Xt Oil ; 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')