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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationFri, 24 Oct 2008 08:24:25 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/24/t1224858310w6jnoytp32xkc5e.htm/, Retrieved Fri, 17 May 2024 05:44:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18621, Retrieved Fri, 17 May 2024 05:44:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139

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] [Bouwvergunningen ...] [2008-10-20 21:41:27] [1376d48f59a7212e8dd85a587491a69b]
F   PD    [Univariate Data Series] [Bouwvergunningen ...] [2008-10-24 14:24:25] [de3f0516a1536f7c4a656924d8bc8d07] [Current]
Feedback Forum
2008-10-29 16:00:22 [Nathalie Koulouris] [reply] 
In deze grafiek is duidelijk seizoenaliteit aanwezig.
2008-11-02 13:38:22 [Kristof Augustyns] [reply] 
Het is inderdaad waar dat er seizonaliteit aanwezig is want de pieken gaan zoals een boot op en neer en dit mede door het bouwverlof en toestanden.
2008-11-03 11:12:58 [Karen Van den Broeck] [reply] 
Hier is seizonaliteit aanwezig.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1390
1597
1842
1396
1671
1385
1632
1313
1300
1431
1398
1198
1292
1434
1660
1837
1455
1315
1642
1069
1209
1586
1122
1063
1125
1414
1347
1403
1299
1547
1515
1247
1639
1296
1063
1282
1365
1268
1532
1455
1393
1515
1510
1225
1577
1417
1224
1693
1633
1639
1914
1586
1552
2081
1500
1437
1470
1849
1387
1592
1589
1798
1935
1887
2027
2080
1556
1682
1785
1869
1781
2082
1972
1862
1936
1504
1765
1607
1577
1493
1615
1700
1335
1523
1623
1540
1637
1524
1419
1821
1593
1357
1263
1750
1405
1393
1639
1679
1551
1744
1429
1784

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18621&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18621&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18621&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Univariate Dataseries
Name of dataseriesBouwvergunningen Vlaams gewest
Sourcehttp://www.nbb.be/belgostat/PresentationLinker?TableId=321000002&Lang=N
DescriptionBouwvergunningen volgens effectieve datum van toekenning (ramingen voor de drie laatste jaren)
Number of observations102

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Bouwvergunningen Vlaams gewest \tabularnewline
Source & http://www.nbb.be/belgostat/PresentationLinker?TableId=321000002&Lang=N \tabularnewline
Description & Bouwvergunningen volgens effectieve datum van toekenning (ramingen voor de drie laatste jaren)  \tabularnewline
Number of observations & 102 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18621&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Bouwvergunningen Vlaams gewest[/C][/ROW]
[ROW][C]Source[/C][C]http://www.nbb.be/belgostat/PresentationLinker?TableId=321000002&Lang=N[/C][/ROW]
[ROW][C]Description[/C][C]Bouwvergunningen volgens effectieve datum van toekenning (ramingen voor de drie laatste jaren) [/C][/ROW]
[ROW][C]Number of observations[/C][C]102[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18621&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18621&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 dataseriesBouwvergunningen Vlaams gewest
Sourcehttp://www.nbb.be/belgostat/PresentationLinker?TableId=321000002&Lang=N
DescriptionBouwvergunningen volgens effectieve datum van toekenning (ramingen voor de drie laatste jaren)
Number of observations102


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Bouwvergunningen Vlaams gewest ; par2 = http://www.nbb.be/belgostat/PresentationLinker?TableId=321000002&Lang=N ; par3 = Bouwvergunningen volgens effectieve datum van toekenning (ramingen voor de drie laatste jaren) ;
Parameters (R input):
par1 = Bouwvergunningen Vlaams gewest ; par2 = http://www.nbb.be/belgostat/PresentationLinker?TableId=321000002&Lang=N ; par3 = Bouwvergunningen volgens effectieve datum van toekenning (ramingen voor de drie laatste jaren) ;
R code (references can be found in the software module):
bitmap(file='test1.png')
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab)
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')