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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 computationSun, 21 Sep 2014 17:52:56 +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/2014/Sep/21/t1411318430ivhayq6chb1kq3g.htm/, Retrieved Fri, 10 May 2024 07:46:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236022, Retrieved Fri, 10 May 2024 07:46:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact147

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] [] [2014-09-21 16:52:56] [7c1b641e1a752e372282648dcc4f5732] [Current]
- R PD    [Univariate Data Series] [] [2014-09-26 07:01:53] [0b2fe4434690774311f6a6a179058199]
- RMPD    [Histogram] [] [2014-09-26 07:03:27] [0b2fe4434690774311f6a6a179058199]
- RMPD    [Histogram] [] [2014-09-26 07:03:27] [0b2fe4434690774311f6a6a179058199]
- RMPD    [Histogram] [] [2014-09-26 07:03:27] [0b2fe4434690774311f6a6a179058199]
- RMPD    [Histogram] [] [2014-09-26 07:05:51] [0b2fe4434690774311f6a6a179058199]
- RMPD    [Histogram] [] [2014-09-26 07:08:22] [0b2fe4434690774311f6a6a179058199]
- RMPD    [Kernel Density Estimation] [] [2014-09-26 07:10:30] [0b2fe4434690774311f6a6a179058199]
- R         [Kernel Density Estimation] [] [2014-12-18 19:04:08] [0b2fe4434690774311f6a6a179058199]
- RMPD      [Harrell-Davis Quantiles] [] [2014-12-18 19:17:15] [0b2fe4434690774311f6a6a179058199]
- R PD    [Univariate Data Series] [] [2014-12-18 08:33:18] [0b2fe4434690774311f6a6a179058199]
-   P       [Univariate Data Series] [] [2014-12-18 15:21:40] [0b2fe4434690774311f6a6a179058199]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
111,2
116,7
125,8
131,5
146,2
155,4
157,5
137,2
121,3
89,1
69,6
56,7
58,5
56,4
60,5
64,6
73,2
84,6
80,4
88,4
84,6
90,8
94,9
93,1
96,6
93,1
98,3
105
95,6
94,3
95,3
97,1
98,1
104,4
107,8
114,3
118,7
124,1
134,2
142,4
133,8
131
133,2
125,9
126,2
122,7
126,6
124,8
128
134,1
138,8
134
124
110,4
116,7
124,7
126
122,8
120,2
121,2
125,4
127,9
122
117,5
117,9
117,9
122,7
125,7
126,1
123,2
120,6
123,5
120,2

Tables (Output of Computation)





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=236022&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=236022&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236022&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Univariate Dataseries
Name of dataseriesPrijsindexcijfers grondstoffen inclusief energie
Sourcehttp://www.nbb.be/belgostat/SeriesLinker
DescriptionDeze cijfers geven de prijsindex van de grondstoffen en energie van het jaar 2008 tot 2014 weer.
Number of observations73

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Prijsindexcijfers grondstoffen inclusief energie \tabularnewline
Source & http://www.nbb.be/belgostat/SeriesLinker \tabularnewline
Description & Deze cijfers geven de prijsindex van de grondstoffen en energie van het jaar 2008 tot 2014 weer.  \tabularnewline
Number of observations & 73 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236022&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Prijsindexcijfers grondstoffen inclusief energie[/C][/ROW]
[ROW][C]Source[/C][C]http://www.nbb.be/belgostat/SeriesLinker[/C][/ROW]
[ROW][C]Description[/C][C]Deze cijfers geven de prijsindex van de grondstoffen en energie van het jaar 2008 tot 2014 weer. [/C][/ROW]
[ROW][C]Number of observations[/C][C]73[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236022&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236022&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 dataseriesPrijsindexcijfers grondstoffen inclusief energie
Sourcehttp://www.nbb.be/belgostat/SeriesLinker
DescriptionDeze cijfers geven de prijsindex van de grondstoffen en energie van het jaar 2008 tot 2014 weer.
Number of observations73


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Prijsindexcijfers grondstoffen inclusief energie ; par2 = http://www.nbb.be/belgostat/SeriesLinker ; par3 = Deze cijfers geven de prijsindex van de grondstoffen en energie van het jaar 2008 tot 2014 weer. ; par4 = 12 ;
Parameters (R input):
par1 = Prijsindexcijfers grondstoffen inclusief energie ; par2 = http://www.nbb.be/belgostat/SeriesLinker ; par3 = Deze cijfers geven de prijsindex van de grondstoffen en energie van het jaar 2008 tot 2014 weer. ; 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')