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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_bidataseries.wasp
Title produced by softwareBivariate Data Series
Date of computationSat, 05 Jan 2008 16:51:08 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Jan/06/t11995770459lp663o7ht2jxj1.htm/, Retrieved Mon, 29 May 2023 08:16:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7782, Retrieved Mon, 29 May 2023 08:16:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbivariate, time series, coffee price, tutorial
Estimated Impact1899

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] [Bivariate dataset] [2008-01-05 23:51:08] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMPD    [Blocked Bootstrap Plot - Central Tendency] [Colombia Coffee] [2008-01-07 10:26:26] [74be16979710d4c4e7c6647856088456]
- R  D      [Blocked Bootstrap Plot - Central Tendency] [Blocked Bootstrap...] [2008-12-17 18:55:16] [7458e879e85b911182071700fff19fbd]
-    D        [Blocked Bootstrap Plot - Central Tendency] [Blocked Bootstrap...] [2008-12-18 16:05:10] [7458e879e85b911182071700fff19fbd]
F    D        [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Simulat...] [2008-12-18 16:26:44] [74be16979710d4c4e7c6647856088456]
-    D          [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Bel-20 ...] [2008-12-21 13:33:26] [513002e53792b228fd07c821aaa4d786]
-  M D        [Blocked Bootstrap Plot - Central Tendency] [Box Notch Plot va...] [2009-12-26 21:27:25] [bfd0a85b30d211d7fa5c129592d7c31d]
-  M D        [Blocked Bootstrap Plot - Central Tendency] [Box Notch Plot va...] [2009-12-26 21:29:36] [bfd0a85b30d211d7fa5c129592d7c31d]
- RMPD        [Variance Reduction Matrix] [VRM Matrix van de...] [2009-12-26 21:34:50] [bfd0a85b30d211d7fa5c129592d7c31d]
- RMPD        [Variance Reduction Matrix] [VRM Matrix van de...] [2009-12-26 21:34:50] [bfd0a85b30d211d7fa5c129592d7c31d]
-    D          [Variance Reduction Matrix] [VRM Matrix van de...] [2009-12-26 21:58:56] [bfd0a85b30d211d7fa5c129592d7c31d]
-    D      [Blocked Bootstrap Plot - Central Tendency] [Notched Plot - Ma...] [2008-12-21 15:20:06] [33f4701c7363e8b81858dafbf0350eed]
-    D        [Blocked Bootstrap Plot - Central Tendency] [Notched Plots - T...] [2008-12-22 13:27:57] [33f4701c7363e8b81858dafbf0350eed]
-    D          [Blocked Bootstrap Plot - Central Tendency] [Notched Plots - T...] [2008-12-22 20:17:54] [b187fac1a1b0cb3920f54366df47fea3]
-               [Blocked Bootstrap Plot - Central Tendency] [notched plots - t...] [2008-12-22 20:33:31] [b641c14ac36cb6fee377f3b099dcac19]
-    D        [Blocked Bootstrap Plot - Central Tendency] [Notched Plot - Ma...] [2008-12-22 20:09:30] [b187fac1a1b0cb3920f54366df47fea3]
-    D        [Blocked Bootstrap Plot - Central Tendency] [notched plot - ma...] [2008-12-22 20:20:16] [b641c14ac36cb6fee377f3b099dcac19]
-  M D      [Blocked Bootstrap Plot - Central Tendency] [WS6: Toturial ass...] [2010-11-05 09:57:04] [1fd136673b2a4fecb5c545b9b4a05d64]
F             [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Coffee ...] [2010-11-10 19:51:37] [95e8426e0df851c9330605aa1e892ab5]
-   P         [Blocked Bootstrap Plot - Central Tendency] [ws6.1 tutorial (b...] [2010-11-15 08:03:54] [e4076051fbfb461c886b1e223cd7862f]
-  M          [Blocked Bootstrap Plot - Central Tendency] [] [2011-11-15 21:51:58] [74be16979710d4c4e7c6647856088456]
-  M D      [Blocked Bootstrap Plot - Central Tendency] [Retailprijs - Boo...] [2010-11-05 10:20:00] [aeb27d5c05332f2e597ad139ee63fbe4]
-    D        [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Sim - V...] [2010-11-12 11:38:34] [aeb27d5c05332f2e597ad139ee63fbe4]
-    D        [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Sim - n...] [2010-11-12 11:40:14] [aeb27d5c05332f2e597ad139ee63fbe4]
-    D          [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Simulat...] [2010-12-17 13:42:23] [aeb27d5c05332f2e597ad139ee63fbe4]
- RM D      [Blocked Bootstrap Plot - Central Tendency] [WS6 - Simple Line...] [2010-11-05 12:59:40] [74be16979710d4c4e7c6647856088456]
- RM D      [Blocked Bootstrap Plot - Central Tendency] [Yt skewed] [2010-11-05 16:46:07] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   PD        [Blocked Bootstrap Plot - Central Tendency] [Vraag 2: tweede m...] [2010-11-11 09:29:12] [39c51da0be01189e8a44eb69e891b7a1]
-   PD        [Blocked Bootstrap Plot - Central Tendency] [Vraag 2: tweede m...] [2010-11-11 09:32:57] [39c51da0be01189e8a44eb69e891b7a1]
-   P           [Blocked Bootstrap Plot - Central Tendency] [assignment 2 - 1 (2)] [2010-11-16 09:26:04] [717f3d787904f94c39256c5c1fc72d4c]
-   P           [Blocked Bootstrap Plot - Central Tendency] [assignment 2 - 1 (2)] [2010-11-16 09:26:04] [717f3d787904f94c39256c5c1fc72d4c]
- R PD        [Blocked Bootstrap Plot - Central Tendency] [] [2010-11-16 16:58:15] [8ef75e99f9f5061c72c54640f2f1c3e7]
F    D        [Blocked Bootstrap Plot - Central Tendency] [ws6] [2010-11-17 08:59:32] [f9eaed74daea918f73b9f505c5b1f19e]
- RMPD        [Bootstrap Plot - Central Tendency] [] [2011-11-13 11:55:28] [06c08141d7d783218a8164fd2ea166f2]
- RMPD        [Mean Plot] [] [2011-11-13 12:04:44] [06c08141d7d783218a8164fd2ea166f2]
- RM          [Blocked Bootstrap Plot - Central Tendency] [WS 6 - 8] [2011-11-15 14:38:05] [74be16979710d4c4e7c6647856088456]
F  M D      [Blocked Bootstrap Plot - Central Tendency] [WS6 - Assignment ...] [2010-11-06 11:01:41] [8ef49741e164ec6343c90c7935194465]
-   P         [Blocked Bootstrap Plot - Central Tendency] [WS6 assignment 2 ...] [2010-11-16 20:12:34] [8214fe6d084e5ad7598b249a26cc9f06]
-  M D      [Blocked Bootstrap Plot - Central Tendency] [] [2010-11-06 12:46:42] [39e83c7b0ac936e906a817a1bb402750]
- RM D      [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Car Sales] [2010-11-06 16:12:15] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D        [Blocked Bootstrap Plot - Central Tendency] [Blocked bootstrap...] [2010-11-06 16:42:34] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
- R  D          [Blocked Bootstrap Plot - Central Tendency] [] [2011-11-15 16:54:29] [06c08141d7d783218a8164fd2ea166f2]
- R P           [Blocked Bootstrap Plot - Central Tendency] [] [2011-11-15 21:33:36] [ec2187f7727da5d5d939740b21b8b68a]
- RMPD        [Bootstrap Plot - Central Tendency] [] [2011-11-15 15:43:36] [06c08141d7d783218a8164fd2ea166f2]
- R           [Blocked Bootstrap Plot - Central Tendency] [] [2011-11-15 20:51:52] [9401a40688cf36283be626153bc5a38b]
- R P         [Blocked Bootstrap Plot - Central Tendency] [] [2011-11-15 21:02:28] [ec2187f7727da5d5d939740b21b8b68a]
- R           [Blocked Bootstrap Plot - Central Tendency] [Paper - Blocked b...] [2011-12-19 14:23:02] [69d59b79aaf660457acc70a0ef0bfdab]
-  M D      [Blocked Bootstrap Plot - Central Tendency] [Arabica Price in ...] [2010-11-07 12:41:34] [2960375a246cc0628590c95c4038a43c]
-  M D      [Blocked Bootstrap Plot - Central Tendency] [Workshop 6 Boxplo...] [2010-11-07 12:50:07] [247f085ab5b7724f755ad01dc754a3e8]

[Truncated]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87.28
87.28
87.09
86.92
87.59
90.72
90.69
90.3
89.55
88.94
88.41
87.82
87.07
86.82
86.4
86.02
85.66
85.32
85
84.67
83.94
82.83
81.95
81.19
80.48
78.86
69.47
68.77
70.06
73.95
75.8
77.79
81.57
83.07
84.34
85.1
85.25
84.26
83.63
86.44
85.3
84.1
83.36
82.48
81.58
80.47
79.34
82.13
81.69
80.7
79.88
79.16
78.38
77.42
76.47
75.46
74.48
78.27
80.7
79.91
78.75
77.78
81.14
81.08
80.03
78.91
78.01
76.9
75.97
81.93
80.27
78.67
77.42
76.16
74.7
76.39
76.04
74.65
73.29
71.79
74.39
74.91
74.54
73.08
72.75
71.32
70.38
70.35
70.01
69.36
67.77
69.26
69.8
68.38
67.62
68.39
66.95
65.21
66.64
63.45
60.66
62.34
60.32
58.64
60.46
58.59
61.87
61.85
67.44
77.06
91.74
93.15
94.15
93.11
91.51
89.96
88.16
86.98
88.03
86.24
84.65
83.23
81.7
80.25
78.8
77.51
76.2
75.04
74
75.49
77.14
76.15
76.27
78.19
76.49
77.31
76.65
74.99
73.51
72.07
70.59
71.96
76.29
74.86
74.93
71.9
71.01
77.47
75.78
76.6
76.07
74.57
73.02
72.65
73.16
71.53
69.78
67.98
69.96
72.16
70.47
68.86
67.37
65.87
72.16
71.34
69.93
68.44
67.16
66.01
67.25
70.91
69.75
68.59
67.48
66.31
64.81
66.58
65.97
64.7
64.7
60.94
59.08
58.42
57.77
57.11
53.31
49.96
49.4
48.84
48.3
47.74
47.24
46.76
46.29
48.9
49.23
48.53
48.03
54.34
53.79
53.24
52.96
52.17
51.7
58.55
78.2
77.03
76.19
77.15
75.87
95.47
109.67
112.28
112.01
107.93
105.96
105.06
102.98
102.2
105.23
101.85
99.89
96.23
94.76
91.51
91.63
91.54
85.23
87.83
87.38
84.44
85.19
84.03
86.73
102.52
104.45
106.98
107.02
99.26
94.45
113.44
157.33
147.38
171.89
171.95
132.71
126.02
121.18
115.45
110.48
117.85
117.63
124.65
109.59
111.27
99.78
98.21
99.2
97.97
89.55
87.91
93.34
94.42
93.2
90.29
91.46
89.98
88.35
88.41
82.44
79.89
75.69
75.66
84.5
96.73
87.48
82.39
83.48
79.31
78.16
72.77
72.45
68.46
67.62
68.76
70.07
68.55
65.3
58.96
59.17
62.37
66.28
55.62
55.23
55.85
56.75
50.89
53.88
52.95
55.08
53.61
58.78
61.85
55.91
53.32
46.41
44.57
50
50
53.36
46.23
50.45
49.07
45.85
48.45
49.96
46.53
50.51
47.58
48.05
46.84
47.67
49.16
55.54
55.82
58.22
56.19
57.77
63.19
54.76
55.74
62.54
61.39
69.6
79.23
80
93.68
107.63
100.18
97.3
90.45
80.64
80.58
75.82
85.59
89.35
89.42
104.73
95.32
89.27
90.44
86.97
79.98
81.22
87.35
83.64
82.22
94.4
102.18
Dataseries Y:
Download CSV
Histogram 
255
280.2
299.9
339.2
374.2
393.5
389.2
381.7
375.2
369
357.4
352.1
346.5
342.9
340.3
328.3
322.9
314.3
308.9
294
285.6
281.2
280.3
278.8
274.5
270.4
263.4
259.9
258
262.7
284.7
311.3
322.1
327
331.3
333.3
321.4
327
320
314.7
316.7
314.4
321.3
318.2
307.2
301.3
287.5
277.7
274.4
258.8
253.3
251
248.4
249.5
246.1
244.5
243.6
244
240.8
249.8
248
259.4
260.5
260.8
261.3
259.5
256.6
257.9
256.5
254.2
253.3
253.8
255.5
257.1
257.3
253.2
252.8
252
250.7
252.2
250
251
253.4
251.2
255.6
261.1
258.9
259.9
261.2
264.7
267.1
266.4
267.7
268.6
267.5
268.5
268.5
270.5
270.9
270.1
269.3
269.8
270.1
264.9
263.7
264.8
263.7
255.9
276.2
360.1
380.5
373.7
369.8
366.6
359.3
345.8
326.2
324.5
328.1
327.5
324.4
316.5
310.9
301.5
291.7
290.4
287.4
277.7
281.6
288
276
272.9
283
283.3
276.8
284.5
282.7
281.2
287.4
283.1
284
285.5
289.2
292.5
296.4
305.2
303.9
311.5
316.3
316.7
322.5
317.1
309.8
303.8
290.3
293.7
291.7
296.5
289.1
288.5
293.8
297.7
305.4
302.7
302.5
303
294.5
294.1
294.5
297.1
289.4
292.4
287.9
286.6
280.5
272.4
269.2
270.6
267.3
262.5
266.8
268.8
263.1
261.2
266
262.5
265.2
261.3
253.7
249.2
239.1
236.4
235.2
245.2
246.2
247.7
251.4
253.3
254.8
250
249.3
241.5
243.3
248
253
252.9
251.5
251.6
253.5
259.8
334.1
448
445.8
445
448.2
438.2
439.8
423.4
410.8
408.4
406.7
405.9
402.7
405.1
399.6
386.5
381.4
375.2
357.7
359
355
352.7
344.4
343.8
338
339
333.3
334.4
328.3
330.7
330
331.6
351.2
389.4
410.9
442.8
462.8
466.9
461.7
439.2
430.3
416.1
402.5
397.3
403.3
395.9
387.8
378.6
377.1
370.4
362
350.3
348.2
344.6
343.5
342.8
347.6
346.6
349.5
342.1
342
342.8
339.3
348.2
333.7
334.7
354
367.7
363.3
358.4
353.1
343.1
344.6
344.4
333.9
331.7
324.3
321.2
322.4
321.7
320.5
312.8
309.7
315.6
309.7
304.6
302.5
301.5
298.8
291.3
293.6
294.6
285.9
297.6
301.1
293.8
297.7
292.9
292.1
287.2
288.2
283.8
299.9
292.4
293.3
300.8
293.7
293.1
294.4
292.1
291.9
282.5
277.9
287.5
289.2
285.6
293.2
290.8
283.1
275
287.8
287.8
287.4
284
277.8
277.6
304.9
294
300.9
324
332.9
341.6
333.4
348.2
344.7
344.7
329.3
323.5
323.2
317.4
330.1
329.2
334.9
315.8
315.4
319.6
317.3
313.8
315.8
311.3

Tables (Output of Computation)





Summary of compuational 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 compuational 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=7782&T=0

[TABLE]
[ROW][C]Summary of compuational 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=7782&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7782&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 compuational 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






Bivariate Dataseries
Name of dataseries xcolombia
Source of xwww.ico.org
Description of xPrices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)
Name of dataseries yusa
Source of ywww.ico.org
Description of yRetail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)
Number of observations360

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & colombia \tabularnewline
Source of x & www.ico.org \tabularnewline
Description of x & Prices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) \tabularnewline
Name of dataseries y & usa \tabularnewline
Source of y & www.ico.org \tabularnewline
Description of y & Retail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) \tabularnewline
Number of observations & 360 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7782&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]colombia[/C][/ROW]
[ROW][C]Source of x[/C][C]www.ico.org[/C][/ROW]
[ROW][C]Description of x[/C][C]Prices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]usa[/C][/ROW]
[ROW][C]Source of y[/C][C]www.ico.org[/C][/ROW]
[ROW][C]Description of y[/C][C]Retail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)[/C][/ROW]
[ROW][C]Number of observations[/C][C]360[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7782&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7782&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 xcolombia
Source of xwww.ico.org
Description of xPrices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)
Name of dataseries yusa
Source of ywww.ico.org
Description of yRetail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)
Number of observations360


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = colombia ; par2 = www.ico.org ; par3 = Prices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) ; par4 = usa ; par5 = www.ico.org ; par6 = Retail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) ;
Parameters (R input):
par1 = colombia ; par2 = www.ico.org ; par3 = Prices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) ; par4 = usa ; par5 = www.ico.org ; par6 = Retail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) ;
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')