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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationThu, 29 Jan 2015 10:39:51 +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/2015/Jan/29/t1422528063hmch85wedzjrw0a.htm/, Retrieved Tue, 14 May 2024 08:37:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276254, Retrieved Tue, 14 May 2024 08:37:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [] [2015-01-29 10:39:51] [e6344a6a1a33122c0bdf1792ef294740] [Current]
- R       [Univariate Data Series] [consumentenvertro...] [2015-02-02 10:25:07] [43a2f000083f7295d897313060757d3a]
- RMP     [Histogram] [frequentietabel c...] [2015-02-02 10:31:53] [43a2f000083f7295d897313060757d3a]
- R PD    [Univariate Data Series] [gem. wekelijkse u...] [2015-02-02 10:39:33] [43a2f000083f7295d897313060757d3a]
- RMPD    [Histogram] [frequentietabel s...] [2015-02-02 10:44:07] [43a2f000083f7295d897313060757d3a]
- R P       [Histogram] [] [2015-05-04 09:59:37] [43a2f000083f7295d897313060757d3a]
- RMPD    [Histogram] [frequentietabel s...] [2015-02-02 10:47:28] [43a2f000083f7295d897313060757d3a]
- R         [Histogram] [] [2015-05-04 10:02:33] [43a2f000083f7295d897313060757d3a]
- RMPD    [Kernel Density Estimation] [dichtheidsgrafiek...] [2015-02-02 10:53:12] [43a2f000083f7295d897313060757d3a]
- RMP     [Histogram] [consumentenvertro...] [2015-02-02 11:04:56] [43a2f000083f7295d897313060757d3a]
- R P       [Histogram] [consumentenvertro...] [2015-02-02 11:06:31] [43a2f000083f7295d897313060757d3a]
- RMP       [Kernel Density Estimation] [dichtheidsgrafiek...] [2015-02-02 12:44:34] [43a2f000083f7295d897313060757d3a]
- R         [Histogram] [] [2015-05-04 10:20:10] [43a2f000083f7295d897313060757d3a]
-   P         [Histogram] [] [2015-05-04 10:35:05] [43a2f000083f7295d897313060757d3a]
- RMPD        [Quartiles] [] [2015-05-04 10:56:34] [43a2f000083f7295d897313060757d3a]
- RMPD        [Notched Boxplots] [] [2015-05-04 11:02:11] [43a2f000083f7295d897313060757d3a]
- RMPD        [Quartiles] [kwartielen consum...] [2015-05-04 11:14:19] [43a2f000083f7295d897313060757d3a]
- RMPD        [Notched Boxplots] [boxplot consument...] [2015-05-04 11:19:05] [43a2f000083f7295d897313060757d3a]
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Dataseries X:
-4
-5
-6
-6
-7
-12
-16
-18
-19
-20
-24
-17
-23
-25
-24
-17
-14
-16
-13
-10
-10
-12
-12
-20
-16
-12
-14
-7
-9
-9
-4
-3
1
-1
-2
1
-3
-2
0
-2
-4
-4
-7
-9
-13
-8
-13
-15
-15
-15
-10
-12
-11
-11
-17
-18
-19
-22
-24
-24
-20
-25
-22
-17
-9
-11
-13
-11
-9
-7
-3
-3
-6
-4
-8
-1
-2
-2
-1
1
2
2
-1
1
-1
-8
1
2
-2
-2
-2
-2
-6
-4
-5
-2
-1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276254&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276254&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276254&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'Gwilym Jenkins' @ jenkins.wessa.net







Univariate Dataseries
Name of dataseriesindicator consumentenvertrouwen
Sourcehttp://www.belgostat.be
Descriptionconsumentenvertrouwen
Number of observations97

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & indicator consumentenvertrouwen \tabularnewline
Source & http://www.belgostat.be \tabularnewline
Description & consumentenvertrouwen \tabularnewline
Number of observations & 97 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276254&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]indicator consumentenvertrouwen[/C][/ROW]
[ROW][C]Source[/C][C]http://www.belgostat.be[/C][/ROW]
[ROW][C]Description[/C][C]consumentenvertrouwen[/C][/ROW]
[ROW][C]Number of observations[/C][C]97[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276254&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276254&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 dataseriesindicator consumentenvertrouwen
Sourcehttp://www.belgostat.be
Descriptionconsumentenvertrouwen
Number of observations97



Parameters (Session):
par1 = indicator consumentenvertrouwen ; par2 = http://www.belgostat.be ; par3 = consumentenvertrouwen ; par4 = 12 ;
Parameters (R input):
par1 = indicator consumentenvertrouwen ; par2 = http://www.belgostat.be ; par3 = consumentenvertrouwen ; 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')