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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_bidataseries.wasp
Title produced by softwareBivariate Data Series
Date of computationTue, 15 Nov 2011 09:35:12 -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/2011/Nov/15/t1321367721o2y7a676e23nx45.htm/, Retrieved Fri, 29 Mar 2024 07:38:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=142932, Retrieved Fri, 29 Mar 2024 07:38:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
- RMPD    [Bivariate Data Series] [] [2011-11-15 14:35:12] [885a9dbaf162325773a0a0afdf9f947e] [Current]
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Dataseries X:
5097733
5211195
5504732
6320543
5211017
6130767
9008579
14188058
8341348
12852591
8579993
11468330
17398343
6618449
5935785
6134237
6081770
8398224
7821842
8952839
6052714
7565780
12885515
10894059
6939086
7391602
10768185
10812563
7695058
7093838
5714231
8088670
9170085
10629761
12574993
12463612
13875028
12155525
15510046
11993564
7416020
17039709
13808456
17436191
20741379
14531541
7030184
5381555
6093978
8030856
6654971
4334480
3529587
4619563
3759042
3069262
4245675
6700810
4688014
4306550
4852311
11491957
8441892
5597295
4969173
4357050
9255803
23781732
24175367
13631565
14198942
14490048
11854384
10515925
9436128
7770536
6754512
6589372
6095620
4780724
8503349
9986591
15040788
8903608
7276738
7043018
8714346
6946482
9614191
16322812
15211050
11325054
6376991
5158216
2999895
3355832
5673842
4514464
6281859
6070157
5829724
7785907
6840199
4073233
4081296
3908174
10491399
7512203
4633572
3443958
2052808
3617640
3677766
3001914
2450147
3364952
4456372
3597061
3989401
5202601
1694038
6172358
4616170
4421297
4077442
4798465
7773827
5885975
3731669
5052823
4683420
4544706
5521504
4810233
5130308
5814166
5411181
5035588
8919369
4324406
2318805
3084786
4336218
4470617
3545343
4940466
4922521
4210177
7553838
5517784
4760142
3133522
3982480
2613087
3769980
6777217
5496550
3764597
4252002
6122572
5985953
4021659
3392884
2557363
3014256
4246818
4230825
5418276
4584401
8440104
6815202
9269390
9040389
7392801
6429277
4606580
4505429
4651582
4614287
5715481
5001690
4565738
5377159
4281720
4205807
4552453
4823901
7256091
4144826
5323040
7872937
7644045
4279241
3737402
3650627
4048379
3683989
3556080
3626260
3148600
3970330
4264242
5858029
5434075
6411677
6306918
3980740
5607870
3434313
10700611
5378005
4798833
4837746
2742747
4622989
7026327
7342278
4564750
5577201
5394217
3864414
3726931
3878155
2962587
Dataseries Y:
31.82
32.23
30.51
30.68
31.32
30.77
30.88
31.92
29.68
28.56
32.85
36.35
35.13
30.05
30.80
32.00
31.78
29.92
31.77
29.93
31.05
32.25
33.34
35.35
33.45
32.48
31.55
32.02
29.49
27.18
28.66
30.05
31.14
29.66
30.05
26.32
25.32
23.06
24.45
24.91
26.65
28.20
30.50
26.90
28.00
26.12
29.80
32.23
31.64
29.66
31.30
33.42
35.65
35.87
34.73
34.40
33.56
34.36
33.45
32.98
32.72
32.75
34.21
36.69
37.50
37.52
37.23
35.72
35.61
39.34
39.31
40.62
40.62
41.80
42.60
43.67
45.47
46.40
45.84
46.59
46.70
48.81
48.92
46.95
44.90
43.63
45.28
46.05
46.51
46.95
46.45
49.82
51.82
52.50
53.25
53.95
54.54
53.23
52.00
51.13
50.16
50.19
51.28
53.34
53.08
51.75
52.20
51.11
51.30
52.61
51.41
51.61
52.35
52.21
52.64
52.50
53.55
52.41
53.80
54.22
53.21
53.50
52.30
52.47
51.32
51.37
52.32
52.24
53.40
52.83
53.08
53.62
54.14
54.62
54.13
52.94
54.43
53.98
54.05
53.45
53.39
53.43
53.03
52.16
51.72
51.42
50.54
50.13
50.63
52.10
52.64
53.47
53.39
54.11
54.70
54.34
53.39
52.47
52.74
53.44
51.61
53.30
53.10
53.26
53.09
53.39
52.56
52.57
53.18
52.00
51.75
50.34
51.96
53.07
53.14
52.60
52.70
53.20
52.23
53.21
54.17
54.33
55.12
56.58
55.91
54.65
55.03
55.56
57.15
58.24
58.77
58.97
57.29
56.04
56.72
56.46
57.10
56.81
56.32
55.81
56.03
56.90
56.59
54.60
55.08
55.48
54.42
54.55
55.17
55.10
53.89
53.02
53.24
52.32
52.57
51.69
50.26
47.94
47.32
48.72
49.84
50.15
50.00
49.34




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142932&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142932&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142932&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'Gertrude Mary Cox' @ cox.wessa.net







Bivariate Dataseries
Name of dataseries xvolume verhandeld
Source of x
Description of xVolume
Name of dataseries yslotkoers
Source of ykoers
Description of y
Number of observations224

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & volume verhandeld \tabularnewline
Source of x &  \tabularnewline
Description of x & Volume \tabularnewline
Name of dataseries y & slotkoers \tabularnewline
Source of y & koers \tabularnewline
Description of y &  \tabularnewline
Number of observations & 224 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142932&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]volume verhandeld[/C][/ROW]
[ROW][C]Source of x[/C][C][/C][/ROW]
[ROW][C]Description of x[/C][C]Volume[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]slotkoers[/C][/ROW]
[ROW][C]Source of y[/C][C]koers[/C][/ROW]
[ROW][C]Description of y[/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]224[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142932&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142932&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Bivariate Dataseries
Name of dataseries xvolume verhandeld
Source of x
Description of xVolume
Name of dataseries yslotkoers
Source of ykoers
Description of y
Number of observations224



Parameters (Session):
par1 = volume verhandeld ; par3 = Volume ; par4 = slotkoers ; par5 = koers ;
Parameters (R input):
par1 = volume verhandeld ; par2 = ; par3 = Volume ; par4 = slotkoers ; par5 = koers ; par6 = ;
R code (references can be found in the software module):
bitmap(file='test1.png')
op <- par(mfrow=c(2,2))
plot(x,type='b',main='Plot of x',xlab=xlab,ylab=ylab)
plot(y,type='b',main='Plot of y',xlab=xlab,ylab=ylab)
hist(x)
hist(y)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Bivariate Dataseries',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries x',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source of x',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description of x',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries y',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source of y',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description of y',header=TRUE)
a<-table.element(a,par6)
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')