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Description of Statistical Computation

Author's title

Industrial Production Index: Motor vehicles and parts NAICS=3361-3; 2002=10...

Author*The author of this computation has been verified*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationTue, 13 Oct 2009 13:14:28 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/13/t12554613289zh46r4jrfq0kfi.htm/, Retrieved Sat, 27 Apr 2024 11:49:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46315, Retrieved Sat, 27 Apr 2024 11:49:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsIndustrial Production Index: Motor vehicles and parts NAICS=3361-3; 2002=100; NSA www.economagic.com
Estimated Impact108

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [Industrial Produc...] [2009-10-13 19:14:28] [b08f24ccf7d7e0757793cda532be96b3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41.8425
44.4434
45.3207
48.7901
47.2156
46.7036
31.2174
35.2992
45.9548
49.9451
49.4531
44.2186
50.927
55.2689
55.6843
54.4255
54.708
57.0364
46.2676
36.305
49.4334
54.0442
52.6138
40.2562
43.017
43.9331
44.9489
46.0194
47.2105
48.8029
40.0383
35.5531
46.4756
50.1612
43.5706
31.4169
32.4918
32.1866
35.7192
38.7836
39.5923
41.6231
32.7599
34.8102
41.932
43.7973
42.4805
38.0757
42.8429
48.0584
50.8531
51.2046
53.1879
55.3882
41.817
42.0496
46.6149
49.2709
51.5047
47.3289
50.6458
53.4171
59.5041
58.1524
58.8759
62.4869
50.9484
44.104
54.4907
61.3535
55.7428
49.8878
50.6021
55.7335
60.5976
65.4144
61.7519
62.1007
49.4427
45.6341
57.1604
64.2644
61.3269
53.416
56.7109
60.2733
64.0642
55.2131
62.0788
60.5322
45.7352
36.7874
49.3674
52.9091
46.1371
39.9977
39.5911
45.3943
45.8745
40.6722
37.2617
38.1738
30.5861
28.9649
37.4236
42.8472
41.6633
35.3132
35.6075
37.9868
42.0766
42.5593
44.2188
45.2648
35.1174
32.3555
35.0359
38.5214
33.8393
29.2314
28.364
31.6872
35.6076
36.855
39.0784
40.6122
34.2337
30.6021
33.403
34.0315
32.0458
30.7536
34.542
39.8511
41.8476
42.2672
44.007
47.3011
38.2021
39.9134
46.8413
51.9309
48.4926
45.1152
50.8029
54.2967
57.5755
54.6477
53.9186
56.0227
44.753
46.6963
50.3242
53.7908
53.0673
47.883
54.1865
56.234
58.5908
57.0877
56.8797
58.4162
46.5665
48.1023
53.5163
56.6703
54.6475
46.8664
55.1275
59.045
56.5076
58.3432
56.2593
59.0806
44.2511
47.0563
54.9535
56.5929
53.6903
48.6753
54.7707
62.3834
63.2707
58.2794
59.0312
58.8636
41.8981
48.5678
55.9732
62.6921
58.0668
49.342
54.3421
59.5866
62.9949
62.0387
65.1126
67.0443
45.0217
52.9553
62.1883
67.1199
63.4959
57.4058
62.657
67.0878
64.3608
68.4145
64.5355
63.475
40.3053
54.8696
59.3598
60.0869
56.177
50.5259
43.1849
57.3531
63.8039
58.5816
63.463
67.1747
46.0863
54.3141
61.3287
63.0828
49.6354
41.2037
46.7193
48.5563
49.6537
53.6085
56.7873
60.1904
43.5878
52.1061
59.5798
64.0711
56.9658
48.0362
49.982
60.2253
63.9829
62.9594
67.1074
66.2417
46.6375
60.774
61.7757
68.1683
62.65
57.77
63.1766
70.0859
72.6157
69.9856
71.4666
71.6753
46.7492
62.262
66.2547
75.3409
70.6366
64.2012
72.2035
81.0022
81.8547
79.4259
80.2618
82.0516
53.6196
77.8787
79.3195
85.2198
78.7596
72.3842
77.4396
87.1824
88.6946
82.8143
82.0566
84.6927
53.7756
77.8255
82.1415
84.6046
77.9895
71.9141
73.6719
85.3966
77.8466
85.3102
85.2973
88.8489
58.7187
82.0608
84.2591
84.6313
81.1312
71.4435
80.7986
91.2965
89.9458
88.8676
87.3366
89.0819
59.0037
87.532
90.4089
96.3289
92.0895
80.9245
84.6872
95.9176
98.12
93.9374
95.842
83.7442
53.98
95.6735
97.918
105.6269
94.7775
86.6394
93.2571
104.9521
107.5203
103.0658
105.878
106.0672
70.7451
106.0097
105.0533
112.6953
101.1115
89.8597
101.5641
109.4579
112.3277
107.3104
107.6682
109.5454
70.1139
102.1196
102.6988
105.0844
90.9278
79.8459
81.8435
92.7982
100.306
95.0331
99.9587
99.3636
67.6987
96.6307
94.0726
95.7602
90.3734
82.3961
90.8751
101.7506
103.1035
105.7144
106.0632
109.613
74.2258
106.3457
107.194
109.9028
99.7969
85.4148
101.2245
109.8004
111.8553
104.3963
106.0017
106.8735
74.5939
105.339
111.1359
113.5087
104.1428
92.6447
99.7083
114.2745
115.8436
109.1899
108.3161
107.9264
73.441
106.8394
106.2397
111.9865
99.4427
91.4725
101.5232
114.7936
108.2416
109.7544
106.0768
110.6663
73.8229
108.5442
110.5707
114.5116
98.2217
89.8933
99.1159
108.3769
112.1844
104.9371
105.7001
109.0611
72.5028
103.6442
101.6834
102.2889
94.2002
88.6249
91.0294
103.5901
105.8859
101.6204
102.2795
106.9052
74.9858
103.1353
99.6151
101.9564
94.3444
83.3764
90.4731
99.9023
92.9001
89.6838
86.6408
92.7725
67.0048
82.1726
82.8959
81.803
71.8056
61.7627
48.7681
58.403
60.2918
57.4989
52.995
52.7973
48.1214
64.8449

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46315&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46315&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46315&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Univariate Dataseries
Name of dataseriesIndustrial Production Index: Motor vehicles and parts NAICS=3361-3; 2002=100; NSA
Sourcehttp://economagic.com/em-cgi/data.exe/frbg17/G3361T3_ipnsa
DescriptionIndustrial Production Index: Motor vehicles and parts NAICS=3361-3; 2002=100; NSA
Number of observations452

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Industrial Production Index: Motor vehicles and parts NAICS=3361-3; 2002=100; NSA  \tabularnewline
Source & http://economagic.com/em-cgi/data.exe/frbg17/G3361T3_ipnsa \tabularnewline
Description & Industrial Production Index: Motor vehicles and parts NAICS=3361-3; 2002=100; NSA  \tabularnewline
Number of observations & 452 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46315&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Industrial Production Index: Motor vehicles and parts NAICS=3361-3; 2002=100; NSA [/C][/ROW]
[ROW][C]Source[/C][C]http://economagic.com/em-cgi/data.exe/frbg17/G3361T3_ipnsa[/C][/ROW]
[ROW][C]Description[/C][C]Industrial Production Index: Motor vehicles and parts NAICS=3361-3; 2002=100; NSA [/C][/ROW]
[ROW][C]Number of observations[/C][C]452[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46315&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46315&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:

Univariate Dataseries
Name of dataseriesIndustrial Production Index: Motor vehicles and parts NAICS=3361-3; 2002=100; NSA
Sourcehttp://economagic.com/em-cgi/data.exe/frbg17/G3361T3_ipnsa
DescriptionIndustrial Production Index: Motor vehicles and parts NAICS=3361-3; 2002=100; NSA
Number of observations452


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Industrial Production Index: Primary metal NAICS=331; 2002=100; NSA ; par2 = http://economagic.com/em-cgi/data.exe/frbg17/G331_ipnsa ; par3 = Industrial Production Index: Primary metal NAICS=331; 2002=100; NSA ;
Parameters (R input):
par1 = Industrial Production Index: Motor vehicles and parts NAICS=3361-3; 2002=100; NSA ; par2 = http://economagic.com/em-cgi/data.exe/frbg17/G3361T3_ipnsa ; par3 = Industrial Production Index: Motor vehicles and parts NAICS=3361-3; 2002=100; NSA ;
R code (references can be found in the software module):
bitmap(file='test1.png')
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab)
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')