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Description of Statistical Computation

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 computationSat, 17 Mar 2012 09:00:22 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Mar/17/t13319893046hn3zdvecnwx7kw.htm/, Retrieved Sun, 28 Apr 2024 19:15:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164027, Retrieved Sun, 28 Apr 2024 19:15:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact227

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bivariate Data Series] [Cost of storage] [2012-03-17 13:00:22] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10240000
197632
238592
716800
348160
471040
307200
302080
295936
195584
155648
141312
266240
323584
276480
194560
179200
168960
134144
121856
286720
276480
174080
163840
143360
136192
122880
120832
306176
289792
219136
204800
185344
168960
161792
143360
121856
110592
81920
72704
92160
61440
46080
40960
33792
27648
30720
16384
54272
36864
12288
9216
7168
4096
2048
972.8
870.4
901.12
829.44
1013.76
1290.24
944.128
905.216
685.056
774.144
702.464
302.08
269.312
265.216
211.968
177.152
185.344
151.552
144.384
156.672
124.928
120.832
120.832
106.496
112.64
106.496
104.448
103.424
99.9424
87.4496
81.92
103.424
101.1712
99.4304
97.5872
95.3344
97.4848
95.8464
88.3712
85.9136
80.384
80.0768
87.7568
87.6544
76.0832
62.5664
79.0528
78.1312
68.096
67.8912
65.3312
77.2096
74.9568
67.6864
64.4096
60.7232
83.5584
70.3488
67.6864
60.3136
61.952
62.464
54.784
56.4224
60.5184
57.0368
54.0672
53.5552
53.5552
55.9104
47.5136
53.1456
51.5072
53.248
48.5376
49.0496
43.6224
44.1344
38.6048
37.376
31.4368
35.4304
34.5088
32.9728
32.8704
32.256
32.1536
30.3104
28.9792
33.0752
28.2624
27.7504
25.088
29.4912
28.0576
26.9312
18.944
21.6064
21.0944
20.3776
22.9376
21.6064
21.0944
21.0944
18.944
22.8352
22.528
21.8112
21.8112
18.8416
17.7152
17.3056
16.896
16.6912
15.36
19.73
16.86
16.83
16.76
16.73
16.45
15.82
15.8
15.44
14.29
11.95
15.65
15.06
14.89
14.72
14.58
14.33
14.29
13.88
13.8
13.63
13.47
12.95
12.74
12.54
12.48
11.81
15.22
12.27
11.5
14.57
12.42
11.24
10.06
10.91
10.82
10.41
9.25
8.02
11.5
10.06
9.58
9.14
8.94
7.45
7.27
7.27
7.14
7.88
7.25
6.9
7.31
7.26
6.84
7.48
6.48
5.72
6.82
6.56
6.49
5.87
6.33
6.33
5.75
4.41
2.99
4.57
4.31
3.71
2.65
2.88
3.74
2.59
2.07
2.59
2.88
2.59
2.68
2.58
1.51
1.93
1.78
1.61
1.51
1.42
1.39
1.94
1.94
1.7
1.57
1.41
1.38
1.24
1.22
1.15
1.24
1.21
1.2
0.671
0.598
0.719
0.719
0.719
0.575
0.598
0.426
0.411
0.377
0.371
0.367
0.35
0.333
0.306
0.302
0.287
0.164
0.134
0.0909
0.0688
0.115
0.113
0.0821
Dataseries Y:
Download CSV
Histogram 
16.1418121776
12.1941619945
12.3825102592
13.4825521406
12.7604174232
13.0626982951
12.6352542803
12.6184471619
12.5978984937
12.1837452336
11.9553523264
11.8587254908
12.4921534366
12.6872140192
12.5298937646
12.1784958778
12.0962577795
12.0374172795
11.8066691288
11.7105952987
12.5662614088
12.5298937646
12.0672702426
12.0066456208
11.8731142282
11.8218209338
11.7189635484
11.7021564301
12.631915379
12.5769187032
12.2974478206
12.2297891721
12.1299688369
12.0374172795
11.9940668386
11.8731142282
11.7105952987
11.6136030327
11.3134984403
11.1941516826
11.4312814759
11.0258163678
10.7381342954
10.6203512597
10.4279793671
10.2273086716
10.3326691873
9.7040605278
10.9017637192
10.5149907441
9.4163784554
9.1286963829
8.8773819547
8.3177661667
7.6246189862
6.8801785112
6.7689528761
6.8036384341
6.7207507743
6.9214214697
7.1625835266
6.8502617502
6.8081735893
6.5295005867
6.6517579028
6.5545941543
5.710691883
5.5958705588
5.5805445883
5.3564353199
5.1770081211
5.2222135579
5.0209288004
4.972476417
5.054154448
4.8277375714
4.7944011511
4.7944011511
4.6681074258
4.7241968924
4.6681074258
4.6486893399
4.6388370435
4.60459402
4.4710626274
4.4057431613
4.6388370435
4.6168141314
4.5994579019
4.5807463373
4.5573907109
4.5796964684
4.5627469101
4.4815461247
4.4533421401
4.3868151514
4.3829861742
4.4745693522
4.4734018098
4.3318274783
4.1362283928
4.3701159836
4.3583894649
4.2209184743
4.2179064238
4.179469717
4.3465238016
4.3169119476
4.2148852735
4.1652626903
4.1063258326
4.4255457886
4.2534657258
4.2148852735
4.0995576173
4.1263598917
4.1345903908
4.0033981805
4.0328662428
4.102947451
4.0436966736
3.9902277173
3.9807128977
3.9807128977
4.0237504094
3.8610159858
3.9730353168
3.9417216037
3.9749602452
3.8823387553
3.892832031
3.7755707799
3.7872395237
3.6533766211
3.6210287872
3.4479791812
3.5675702087
3.541214364
3.4956829792
3.4925725568
3.4737040724
3.4705244195
3.4114908879
3.3665783313
3.4987837568
3.3415322993
3.3232502545
3.2223896442
3.3840919138
3.33425954
3.2932854658
2.9414872587
3.0729895671
3.0490076024
3.0144362583
3.1327774855
3.0729895671
3.0490076024
3.0490076024
2.9414872587
3.1283032051
3.11475898
3.0824235993
3.0824235993
2.9360671912
2.8744230281
2.8510301485
2.8270769075
2.8148816344
2.7317667277
2.98214032
2.8249439526
2.8231630082
2.8189950951
2.817203515
2.8003254772
2.7612749623
2.76000994
2.7369615446
2.6595599919
2.4807312784
2.750470917
2.7120422224
2.7006898467
2.6892071133
2.6796507266
2.6623552418
2.6595599919
2.6304489551
2.6246685922
2.6122732457
2.6004649904
2.5610957881
2.5447466501
2.5289235352
2.5241273629
2.4689466302
2.7226103524
2.5071572587
2.4423470354
2.6789646202
2.5193080765
2.4194788445
2.3085671647
2.3896797998
2.3813962734
2.3427668826
2.2246235515
2.0819384219
2.4423470354
2.3085671647
2.259677592
2.2126603855
2.1905355892
2.0082140324
1.9837562915
1.9837562915
1.9657127764
2.0643279039
1.9810014689
1.9315214116
1.9892432738
1.9823798288
1.9227877316
2.012232792
1.8687205104
1.7439688054
1.9198594719
1.880990603
1.8702625307
1.7698546338
1.8453002362
1.8453002362
1.7491998548
1.4838746895
1.0952733874
1.5195132049
1.4609379041
1.3110318766
0.97455964
1.0577902941
1.3190856114
0.9516578757
0.7275486073
0.9516578757
1.0577902941
0.9516578757
0.9858167945
0.9477893989
0.4121096508
0.6575200029
0.5766133643
0.476234179
0.4121096508
0.3506568716
0.3293037471
0.6626879731
0.6626879731
0.5306282511
0.4510756194
0.3435897044
0.3220834992
0.2151113796
0.1988508587
0.1397619424
0.2151113796
0.1906203596
0.1823215568
-0.398986142
-0.514164525
-0.3298939213
-0.3298939213
-0.3298939213
-0.5533852382
-0.514164525
-0.8533159327
-0.8891620645
-0.9755100915
-0.9915532164
-1.0023934309
-1.0498221245
-1.099612789
-1.184170177
-1.1973282616
-1.2482730632
-1.8078888512
-2.009915479
-2.3979952778
-2.676551534
-2.1628231506
-2.1803674603
-2.4998172625

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164027&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164027&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164027&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Bivariate Dataseries
Name of dataseries xCost / GB
Source of xvarious sources
Description of xUSD per Gigabyte: 1956-2010
Name of dataseries yLn Cost / GB
Source of yvarious sources
Description of yLn(USD per Gigabyte): 1956-2010
Number of observations292

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Cost / GB \tabularnewline
Source of x & various sources \tabularnewline
Description of x & USD per Gigabyte: 1956-2010 \tabularnewline
Name of dataseries y & Ln Cost / GB \tabularnewline
Source of y & various sources \tabularnewline
Description of y & Ln(USD per Gigabyte): 1956-2010 \tabularnewline
Number of observations & 292 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164027&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Cost / GB[/C][/ROW]
[ROW][C]Source of x[/C][C]various sources[/C][/ROW]
[ROW][C]Description of x[/C][C]USD per Gigabyte: 1956-2010[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Ln Cost / GB[/C][/ROW]
[ROW][C]Source of y[/C][C]various sources[/C][/ROW]
[ROW][C]Description of y[/C][C]Ln(USD per Gigabyte): 1956-2010[/C][/ROW]
[ROW][C]Number of observations[/C][C]292[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164027&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164027&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:

Bivariate Dataseries
Name of dataseries xCost / GB
Source of xvarious sources
Description of xUSD per Gigabyte: 1956-2010
Name of dataseries yLn Cost / GB
Source of yvarious sources
Description of yLn(USD per Gigabyte): 1956-2010
Number of observations292


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Cost / GB ; par2 = various sources ; par3 = USD per Gigabyte: 1956-2010 ; par4 = Ln Cost / GB ; par5 = various sources ; par6 = Ln(USD per Gigabyte): 1956-2010 ;
Parameters (R input):
par1 = Cost / GB ; par2 = various sources ; par3 = USD per Gigabyte: 1956-2010 ; par4 = Ln Cost / GB ; par5 = various sources ; par6 = Ln(USD per Gigabyte): 1956-2010 ;
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')