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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, 16 Nov 2010 20:09:12 +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/Nov/16/t1289938058r8iit27g77acokz.htm/, Retrieved Wed, 01 May 2024 23:31:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=96374, Retrieved Wed, 01 May 2024 23:31:13 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150
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]
-  MPD  [Bivariate Data Series] [Schermbreedte en ...] [2010-11-11 17:54:48] [6bc4f9343b7ea3ef5a59412d1f72bb2b]
-   PD      [Bivariate Data Series] [] [2010-11-16 20:09:12] [6b31f806e9ccc1f74a26091056f791cb] [Current]
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Dataseries X:
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1100
1100
1100
1100
1100
1100
1100
1100
1100
1100
1200
1200
1200
1200
1200
1200
1200
1200
1200
1200
1300
1300
1300
1300
1300
1300
1300
1300
1300
1300
1400
1400
1400
1400
1400
1400
1400
1400
1400
1400
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1600
1600
1600
1600
1600
1600
1600
1600
1600
1600
1700
1700
1700
1700
1700
1700
1700
1700
1700
1700
1800
1800
1800
1800
1800
1800
1800
1800
1800
1800
1900
1900
1900
1900
1900
1900
1900
1900
1900
1900
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2100
2100
2100
2100
2100
2100
2100
2100
2100
2100
2200
2200
2200
2200
2200
2200
2200
2200
2200
2200
2300
2300
2300
2300
2300
2300
2300
2300
2300
2300
2400
2400
2400
2400
2400
2400
2400
2400
2400
2400
2500
2500
2500
2500
2500
2500
2500
2500
2500
2500
2600
2600
2600
2600
2600
2600
2600
2600
2600
2600
2700
2700
2700
2700
2700
2700
2700
2700
2700
2700
2800
2800
2800
2800
2800
2800
2800
2800
2800
2800
2900
2900
2900
2900
2900
2900
2900
2900
2900
2900
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3100
3100
3100
3100
3100
3100
3100
3100
3100
3100
3200
3200
3200
3200
3200
3200
3200
3200
3200
3200
3300
3300
3300
3300
3300
3300
3300
3300
3300
3300
3400
3400
3400
3400
3400
3400
3400
3400
3400
3400
3500
3500
3500
3500
3500
3500
3500
3500
3500
3500
3600
3600
3600
3600
3600
3600
3600
3600
3600
3600
3700
3700
3700
3700
3700
3700
3700
3700
3700
3700
3800
3800
3800
3800
3800
3800
3800
3800
3800
3800
3900
3900
3900
3900
3900
3900
3900
3900
3900
3900
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4100
4100
4100
4100
4100
4100
4100
4100
4100
4100
4200
4200
4200
4200
4200
4200
4200
4200
4200
4200
4300
4300
4300
4300
4300
4300
4300
4300
4300
4300
4400
4400
4400
4400
4400
4400
4400
4400
4400
4400
4500
4500
4500
4500
4500
4500
4500
4500
4500
4500
4600
4600
4600
4600
4600
4600
4600
4600
4600
4600
4700
4700
4700
4700
4700
4700
4700
4700
4700
4700
4800
4800
4800
4800
4800
4800
4800
4800
4800
4800
4900
4900
4900
4900
4900
4900
4900
4900
4900
4900
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
Dataseries Y:
59,41615982
50,14242957
49,48042499
53,3259468
52,30609336
48,86143726
50,8659103
49,3642163
54,76962397
58,18423038
59,23197004
58,02968026
65,93348254
65,05829459
56,37250226
68,83551209
64,79550777
61,96559352
73,49906338
65,15633604
73,66130098
78,12143282
72,8804637
78,74502134
64,54770971
79,55636457
73,41843731
73,40514735
69,13306402
76,40930914
91,30506864
87,45429821
83,73269406
86,41824681
88,15417897
87,87236363
80,34302126
84,56271842
83,91189723
85,77827924
102,5530716
101,9591172
100,6111131
80,31174718
93,31965504
82,2279051
92,06238737
95,31362353
91,29070095
97,71074672
98,4990965
104,4406372
108,670536
102,2922698
102,5909973
106,4244674
105,8740591
105,0608868
101,6221038
108,4738866
129,6931939
113,3638472
117,5809664
116,5615089
111,0621468
114,7175824
118,0734087
115,4110016
117,439777
116,5171754
124,4479782
125,1205639
127,2870219
122,4374912
131,0661662
130,025532
126,4923616
123,3219297
120,9032897
133,2532774
145,0875844
135,7905194
137,8894747
141,3086541
133,9918952
132,6505475
140,9917805
134,1835792
127,7194187
135,540299
146,9055332
140,5275809
144,0400271
148,4382423
143,580739
138,8875007
152,2493856
138,4717696
149,2634665
138,4316915
159,8983773
159,245161
154,16169
158,179508
155,9622364
159,9457739
161,7657878
149,0761973
154,3752141
158,6203276
165,3864268
160,1189958
167,1672331
161,2141321
154,5508292
167,0497105
170,695027
160,1173915
168,6453109
161,6361257
173,3604521
180,1794763
179,9376521
182,0571886
172,6263574
177,616043
172,6783355
174,7584348
178,5992147
176,8235243
181,0195444
181,8751904
183,3670967
182,4856721
185,7485632
183,4645657
184,8084907
187,5202088
182,8430408
184,4614712
196,4262013
194,8385718
192,4407899
194,6657169
182,2140611
193,5397886
195,8825256
190,9651432
193,5219675
192,6158423
208,6353621
202,1566656
204,4365365
206,1873719
209,6541089
210,8768695
205,7449539
212,657415
206,6222118
213,8684492
220,8895057
216,1145373
214,1271219
218,6723493
213,4655937
206,3340478
222,7778845
207,6375759
217,8490148
218,0866075
222,2826926
233,8277152
230,3189585
230,5241547
219,8393864
219,420769
235,3457719
229,5472092
218,6440286
228,0007587
234,5807377
240,6407853
236,2794724
232,3645978
229,6626056
233,1917717
233,3857758
239,3165217
227,7286985
228,3831421
244,8705805
240,2391446
250,433888
248,4981995
245,9673502
239,7398956
246,6713336
245,0273992
240,8297639
251,5964126
259,7070946
250,2609047
252,281478
261,6186761
256,9703954
252,4728514
266,5341384
254,8451402
251,745005
251,5118592
265,6907131
262,0949741
265,4612719
264,6950098
263,6273576
263,8781908
269,8999994
275,4768964
269,6923295
260,8226913
269,189509
274,9062441
274,1860518
275,7859183
274,2729907
281,7466112
287,9252001
271,0750557
274,9116386
272,6336995
270,7504711
283,3964401
285,7883307
281,8868852
283,07036
286,387349
282,7443509
292,4792651
289,4807302
283,3122127
301,871244
290,1686923
299,7995059
287,7684126
298,7433991
292,8654835
290,330275
296,7831735
294,7378565
299,4544219
307,2400282
305,1246991
309,4826364
304,3859955
306,0295568
308,8779191
304,1515862
305,2372525
301,7594956
306,5431871
304,48074
318,9270544
309,1494355
318,5582708
324,1395113
308,1906645
318,4598691
321,1815714
322,5580609
316,7885336
321,6093074
310,5712643
327,1439556
325,9765815
320,5931475
327,5499569
322,1988543
324,8575766
322,6982254
325,0704841
339,4217446
333,7015174
337,2768199
341,7779873
336,800216
337,1651077
340,3857522
325,7027151
344,8348244
332,900409
345,896894
346,5770406
345,9804684
343,5648812
344,2354717
347,6552225
337,0044828
352,7384166
332,256783
347,5530623
345,5316344
350,0194731
361,7617026
346,5784977
355,7387981
351,6827496
353,9754862
352,2835767
356,8020903
355,254365
367,5056276
373,806691
365,1606177
364,3465711
358,5750111
371,0625987
368,3122988
362,4229832
365,0313394
368,0832413
369,7886382
380,7074997
369,6511826
370,9135291
374,9300972
374,9838556
369,5670357
378,1344044
367,0962628
379,2985901
379,1998547
383,1687737
371,5568693
390,2223162
384,0310362
381,3403411
389,2667111
385,0209662
387,9384184
389,0997523
384,5245847
382,8793382
401,661432
399,4814158
396,6695861
389,7516097
392,9983624
397,4823632
396,7029083
398,282323
401,389929
401,2044366
402,7468712
407,2680837
403,5040773
401,3461882
404,0960936
403,7735761
393,7975583
413,250653
415,631532
410,9695336
416,348127
414,1172308
418,0586376
417,1532257
411,4143983
416,3244804
416,2959627
417,7748912
410,4724842
418,5548287
416,8844516
425,9093083
422,3062252
426,9017763
429,1701887
416,9413705
434,493882
426,1764679
427,8868874
432,5933737
438,7090205
429,2204593
435,1686509
434,622914
434,0826872
437,1037477
427,9470303
439,4185429
447,8402831
439,2981386
443,9096444
446,828909
457,6769815
438,3070796
450,9230256
446,33957
447,4802211
437,5910231
453,4022976
455,6081713
458,3034961
445,5712492
452,6303909
455,2338989
453,1731386
452,6441772
451,5780265
448,067868




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96374&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96374&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96374&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'George Udny Yule' @ 72.249.76.132







Bivariate Dataseries
Name of dataseries xinhoud
Source of x
Description of x
Name of dataseries yvermogen
Source of y
Description of y
Number of observations410

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & inhoud \tabularnewline
Source of x &  \tabularnewline
Description of x &  \tabularnewline
Name of dataseries y & vermogen \tabularnewline
Source of y &  \tabularnewline
Description of y &  \tabularnewline
Number of observations & 410 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96374&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]inhoud[/C][/ROW]
[ROW][C]Source of x[/C][C][/C][/ROW]
[ROW][C]Description of x[/C][C][/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]vermogen[/C][/ROW]
[ROW][C]Source of y[/C][C][/C][/ROW]
[ROW][C]Description of y[/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]410[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96374&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96374&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 xinhoud
Source of x
Description of x
Name of dataseries yvermogen
Source of y
Description of y
Number of observations410



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
Parameters (R input):
par1 = inhoud ; par2 = ; par3 = ; par4 = vermogen ; par5 = ; 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')