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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationTue, 28 Sep 2010 14:18:35 +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/2010/Sep/28/t12856840790nmbfal37gghqsy.htm/, Retrieved Mon, 29 Apr 2024 05:14:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79588, Retrieved Mon, 29 Apr 2024 05:14:49 +0000
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Original text written by user:Deze reeks stelt de nieuwverkoop van autos per merk en per model van het jaar 2010 (tot augustus) voor (in Europa), uitgedrukt in aantallen.
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact190
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [Verkoop nieuwe wa...] [2010-09-28 14:18:35] [5815de052410d7754c978b0de903e641] [Current]
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Dataseries X:
1
15
400
15
16
337
928
13
3565
4062
102
1625
1829
35
122
21
1149
86
18
20
51
1
106
2013
321
2157
572
12
116
30
1288
174
176
131
165
12
2
8
1
1
1176
121
382
1
1
372
48
231
3
379
104
7746
67
2857
1141
345
1007
1708
48
39
2
880
1237
24
4
170
334
890
987
2196
2
738
79
357
305
23
1
1
27
5
5728
426
72
272
55
8
7546
2737
94
36
242
1631
7793
558
3
883
483
8608
279
2673
918
14
609
95
4
34
8
2
6
512
2486
1534
2788
326
247
61
10
260
1
2
17
202
4
79
1
7
13
11
8
4
16
25
1
141
7
167
2
2833
3
3553
54
842
492
122
253
3
2
2
212
67
6
1
78
9
1
110
1
184
3
177
81
6
19
32
48
23
4
2
9
12
8
23
386
1428
815
549
1046
67
42
58
81
1746
1229
1675
8
100
2
14
1877
6
13
215
190
75
28
148
8
40
610
25
94
2223
247
94
350
175
954
2
4
1
1
24
1
100
16
1
306
17
2
1059
4
2
3268
2
2837
599
59
2738
70
7107
71
6751
11
3169
2753
2
1
46
27
80
1994
3
12048
2
2255
4368
2919
2
2847
60
206
3097
3
36
192
14
1
313
148
147
27
145
18
171
3766
180
391
753
488
11
107
16
6533
1899
1924
104
12
122
7452
1
241
672
929
604
4576
1444
4
3164
3362
124
1167
1347
496
1
242
48
246
146
7077
243
49
115
2
2277
1007
1613
2019
11599
1
33
56
660
1
76
6597
822
4
682
1413
5117
254
69
21
243
186
882
1004
1928
301
39
30
5062
25
11514
467
53
1813
98
1177
439
6
1415
297
352
254
389
2831
2316
139
263
271
8123




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79588&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79588&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79588&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' @ 72.249.127.135







Univariate Dataseries
Name of dataseriesVerkoop nieuwe wagens Europa 2010
Sourcehttp://www.raivereniging.nl/markt-informatie/statistieken/europese-statistieken.aspx
DescriptionDeze gegevensreeks geeft de verkochte modellen per merk in 2010 in Europa.
Number of observations352

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Verkoop nieuwe wagens Europa 2010 \tabularnewline
Source & http://www.raivereniging.nl/markt-informatie/statistieken/europese-statistieken.aspx \tabularnewline
Description & Deze gegevensreeks geeft de verkochte modellen per merk in 2010 in Europa. \tabularnewline
Number of observations & 352 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79588&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Verkoop nieuwe wagens Europa 2010[/C][/ROW]
[ROW][C]Source[/C][C]http://www.raivereniging.nl/markt-informatie/statistieken/europese-statistieken.aspx[/C][/ROW]
[ROW][C]Description[/C][C]Deze gegevensreeks geeft de verkochte modellen per merk in 2010 in Europa.[/C][/ROW]
[ROW][C]Number of observations[/C][C]352[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79588&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79588&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 dataseriesVerkoop nieuwe wagens Europa 2010
Sourcehttp://www.raivereniging.nl/markt-informatie/statistieken/europese-statistieken.aspx
DescriptionDeze gegevensreeks geeft de verkochte modellen per merk in 2010 in Europa.
Number of observations352



Parameters (Session):
par1 = Verkoop nieuwe wagens Europa 2010 ; par2 = http://www.raivereniging.nl/markt-informatie/statistieken/europese-statistieken.aspx ; par3 = Deze gegevensreeks geeft de verkochte modellen per merk in 2010 in Europa. ; par4 = 12 ;
Parameters (R input):
par1 = Verkoop nieuwe wagens Europa 2010 ; par2 = http://www.raivereniging.nl/markt-informatie/statistieken/europese-statistieken.aspx ; par3 = Deze gegevensreeks geeft de verkochte modellen per merk in 2010 in Europa. ; 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')