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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationSun, 02 Feb 2014 09:29:18 -0500
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/Feb/02/t13913514117t2blo5qr54m8u4.htm/, Retrieved Thu, 31 Oct 2024 23:07:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233200, Retrieved Thu, 31 Oct 2024 23:07:36 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [] [2014-02-02 14:29:18] [a17c9baa293c9bc97942594e3a0541eb] [Current]
- RMPD    [Histogram] [] [2014-02-09 19:47:06] [1230435f6fa475afaecdfd296e9ed611]
- RMPD    [Histogram] [] [2014-02-09 19:54:38] [1230435f6fa475afaecdfd296e9ed611]
- RMPD    [Histogram] [] [2014-02-09 19:56:15] [1230435f6fa475afaecdfd296e9ed611]
- RMPD    [Kernel Density Estimation] [] [2014-02-09 20:06:23] [1230435f6fa475afaecdfd296e9ed611]
- RMPD    [Histogram] [] [2014-02-09 20:18:15] [1230435f6fa475afaecdfd296e9ed611]
- RMPD    [Histogram] [] [2014-02-09 20:20:30] [1230435f6fa475afaecdfd296e9ed611]
- RMPD    [Histogram] [] [2014-02-09 20:22:15] [1230435f6fa475afaecdfd296e9ed611]
- R  D    [Univariate Data Series] [] [2014-05-19 14:24:49] [8dd22f6a58be61d65b41e22852104bc6]
-           [Univariate Data Series] [] [2014-05-22 13:14:23] [8dd22f6a58be61d65b41e22852104bc6]
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Dataseries X:
329,6
327,2
326,3
315,4
308,6
302,6
295,6
291,5
288,1
281,1
282,4
284,9
274,2
265,7
259,7
253,7
249,5
244,6
243
239,2
235,7
231,1
226,7
221,7
219,4
214,2
211,7
207,7
204,7
201,2
199,9
197,8
195,2
194,3
192,8
188,5
183,2
181,4
180,5
180,2
179,2
177,1
174,2
172,1
171,1
169,8
169,5
165,5
167,2
167,6
171,8
175,9
180
184,9
184,6
187,6
191,5
195,5
201,6
203,5
209,1
217,1
227,6
237,2
245,6
253,2
260,5
266,1
273
280,8
284,4
288,5
284,8
288,9
299,6
307,8
311,4
322
317,8
319,1
322,3
323,1
322,8
325
323,2
318,8
328,2
329,2
326,5
330,1
323,8
321,8
319,6
315,5
310,7
306,5
295,1
288
293,9
289,3
287,4
282,6
276,9
272,7
267,9
262,8
256,6
250,7
243,2
235,1
229,6
222,9
217,6
214,1
210,8
208
202,6
199
195,5
192,1
189,4
182,4
179,2
176,5
174
171,7
169,8
168,3
166,4
165,9
166,4
170,6
177,6
183,4
191,9
201,7
210,6
221,6
232,2
240,4
248,4
258,5
265
271,7
273,9
277,8
273,4
270,9
268,3
264,7
264,1
264,5
262,2
258,6
259,4
262,7
264,9
260,5
256,4
254,7
254,8
255,3
256,8
258,7
259,8
261,7
264,7
269,1
279
283,4
285,5
288,2
292,1
295,6
302,4
308,5
314,1
319,8
329,7
339,7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233200&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233200&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233200&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Univariate Dataseries
Name of dataseriesSociale Zekerheid Werkloosheidsuitkering
SourceStatLine
DescriptionSociale Zekerheid Werkloosheidsuitkering
Number of observations180

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Sociale Zekerheid Werkloosheidsuitkering \tabularnewline
Source & StatLine \tabularnewline
Description & Sociale Zekerheid Werkloosheidsuitkering \tabularnewline
Number of observations & 180 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233200&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Sociale Zekerheid Werkloosheidsuitkering[/C][/ROW]
[ROW][C]Source[/C][C]StatLine[/C][/ROW]
[ROW][C]Description[/C][C]Sociale Zekerheid Werkloosheidsuitkering[/C][/ROW]
[ROW][C]Number of observations[/C][C]180[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233200&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233200&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 dataseriesSociale Zekerheid Werkloosheidsuitkering
SourceStatLine
DescriptionSociale Zekerheid Werkloosheidsuitkering
Number of observations180



Parameters (Session):
par1 = Sociale Zekerheid Werkloosheidsuitkering ; par2 = StatLine ; par3 = Sociale Zekerheid Werkloosheidsuitkering ; par4 = 12 ;
Parameters (R input):
par1 = Sociale Zekerheid Werkloosheidsuitkering ; par2 = StatLine ; par3 = Sociale Zekerheid Werkloosheidsuitkering ; 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')