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Author's title

Energie Index opdracht 2 Inleiding tot kwantitatief onderzoek ALEXANDER VAN...

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationFri, 02 Oct 2015 12:35:40 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/02/t1443785801vnwjdon7hnjqbca.htm/, Retrieved Tue, 14 May 2024 01:52:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281063, Retrieved Tue, 14 May 2024 01:52:51 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Energie inflatie ...] [2015-10-02 09:47:45] [dd3fba143f77b32339110f075cd1346d]
- R P     [Univariate Data Series] [Energie Index opd...] [2015-10-02 11:35:40] [48da048a5e5e3f4e8c34faa6148f9354] [Current]
- RM        [Histogram] [Histogram OPDRACH...] [2015-10-02 11:37:07] [dd3fba143f77b32339110f075cd1346d]
- RM        [Kernel Density Estimation] [dichtheidsgrafiek...] [2015-10-02 11:39:36] [dd3fba143f77b32339110f075cd1346d]
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Dataseries X:
78.46
78.59
81.37
83.61
84.65
84.56
83.85
84.08
85.41
85.75
86.38
88.87
90.37
92.21
95.75
97.29
98.29
99.51
99.04
98.9
100.74
100.3
101.68
101.3
103.13
104.17
105.98
106.25
104.01
101.68
101.93
104.41
105.51
104.71
103.14
102.66
102.68
101.89
101.37
101.16
99.34
99.35
99.88
99.31
99.91
98.39
98.02
98.7
98.01
98.42
98.2
93.5
93.17
93.42
93.13
92.31
92.09
92.62
91.43
89.38




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281063&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281063&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281063&T=0

As an alternative you can also use a 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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Univariate Dataseries
Name of dataseriesEnergie inflatie
Sourcenbb
DescriptionEnergie inflatie
Number of observations60

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Energie inflatie \tabularnewline
Source & nbb \tabularnewline
Description & Energie inflatie \tabularnewline
Number of observations & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281063&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Energie inflatie[/C][/ROW]
[ROW][C]Source[/C][C]nbb[/C][/ROW]
[ROW][C]Description[/C][C]Energie inflatie[/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281063&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281063&T=1

As an alternative you can also use a QR Code:  

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

Univariate Dataseries
Name of dataseriesEnergie inflatie
Sourcenbb
DescriptionEnergie inflatie
Number of observations60



Parameters (Session):
par2 = blue ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = Energie inflatie ; par2 = nbb ; par3 = Energie inflatie ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'Energie inflatie'
par2 <- 'nbb'
par1 <- 'Energie inflatie'
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')