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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationSat, 05 Jan 2008 16:14:31 -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/t1199574888xvrybp4pl7fyg1j.htm/, Retrieved Sat, 25 Jan 2025 10:17:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7780, Retrieved Sat, 25 Jan 2025 10:17:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordstime series, arabica, colombia, tutorial
Estimated Impact1490

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] [Arabica Price in ...] [2008-01-05 23:14:31] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMPD    [Harrell-Davis Quantiles] [my better solution] [2008-04-17 17:46:15] [74be16979710d4c4e7c6647856088456]
- RMPD    [Harrell-Davis Quantiles] [my better solution 2] [2008-04-17 17:50:23] [74be16979710d4c4e7c6647856088456]
F RMPD    [Bivariate Kernel Density Estimation] [vraag 5] [2008-11-24 09:18:48] [c45c87b96bbf32ffc2144fc37d767b2e]
-           [Bivariate Kernel Density Estimation] [Extra toevoeging ...] [2008-12-01 16:52:07] [33f4701c7363e8b81858dafbf0350eed]
- RMPD    [Multiple Regression] [Toon Wouters] [2008-11-25 11:18:32] [6610d6fd8f463fb18a844c14dc2c3579]
- RMPD    [Multiple Regression] [Tutorial] [2008-11-26 19:51:36] [3548296885df7a66ea8efc200c4aca50]
-   PD    [Univariate Data Series] [Tijdreeks 1 Buite...] [2008-12-11 16:10:45] [2d4aec5ed1856c4828162be37be304d9]
- RMP       [Central Tendency] [Central tendency ...] [2008-12-11 17:39:13] [2d4aec5ed1856c4828162be37be304d9]
- RMP         [Blocked Bootstrap Plot - Central Tendency] [Blocked Bootstrap...] [2008-12-12 08:11:26] [2d4aec5ed1856c4828162be37be304d9]
- RMP       [Histogram] [Histogram tijdree...] [2008-12-11 17:59:11] [2d4aec5ed1856c4828162be37be304d9]
- R PD    [Univariate Data Series] [Central Tendency ...] [2008-12-15 16:00:10] [7458e879e85b911182071700fff19fbd]
- R PD    [Univariate Data Series] [Central Tendency ...] [2008-12-15 16:00:10] [7458e879e85b911182071700fff19fbd]
-   PD      [Univariate Data Series] [Bouwaanvragen] [2008-12-15 16:33:37] [7458e879e85b911182071700fff19fbd]
-   PD    [Univariate Data Series] [Bouwaanvragen 31/...] [2008-12-15 16:05:32] [74be16979710d4c4e7c6647856088456]
-   PD    [Univariate Data Series] [Sequency-plot Bou...] [2008-12-15 16:39:01] [74be16979710d4c4e7c6647856088456]
-   PD    [Univariate Data Series] [Gemiddelde maande...] [2008-12-15 16:45:56] [74be16979710d4c4e7c6647856088456]
-   PD    [Univariate Data Series] [Productie metaal ...] [2008-12-15 17:02:44] [74be16979710d4c4e7c6647856088456]
-   PD    [Univariate Data Series] [werkloosheid] [2008-12-16 21:07:19] [c45c87b96bbf32ffc2144fc37d767b2e]
-   PD    [Univariate Data Series] [Aantal bouwvergun...] [2008-12-16 21:13:02] [c45c87b96bbf32ffc2144fc37d767b2e]
- RMPD    [Standard Deviation-Mean Plot] [Paper ARIMA Forec...] [2008-12-16 22:31:46] [74be16979710d4c4e7c6647856088456]
- RMPD    [Variance Reduction Matrix] [Paper ARIMA Forec...] [2008-12-16 23:32:22] [74be16979710d4c4e7c6647856088456]
-   PD    [Univariate Data Series] [werkloosheid vrouwen] [2008-12-18 10:06:48] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   PD    [Univariate Data Series] [werkloosheid vrouwen] [2008-12-18 10:11:30] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   PD      [Univariate Data Series] [werkloosheid totaal] [2008-12-18 10:14:01] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   PD      [Univariate Data Series] [werkloosheid mannen] [2008-12-18 10:17:26] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   PD      [Univariate Data Series] [economische toestand] [2008-12-18 10:22:07] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   PD    [Univariate Data Series] [totaal werkloosheid] [2008-12-18 11:08:18] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   PD    [Univariate Data Series] [werkloosheid vrouwen] [2008-12-18 11:15:34] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   PD    [Univariate Data Series] [werkloosheid mannen] [2008-12-18 11:19:04] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   PD    [Univariate Data Series] [Economische situatie] [2008-12-18 11:42:49] [fe7291e888d31b8c4db0b24d6c0f75c6]
- R PD    [Univariate Data Series] [Prod van metaal] [2008-12-19 09:14:42] [b187fac1a1b0cb3920f54366df47fea3]
-   PD    [Univariate Data Series] [xxx] [2008-12-19 09:24:36] [b187fac1a1b0cb3920f54366df47fea3]
- R PD    [Univariate Data Series] [RSP - Machines ve...] [2008-12-20 13:25:29] [33f4701c7363e8b81858dafbf0350eed]
-   PD      [Univariate Data Series] [RSP - Transportmi...] [2008-12-20 13:40:13] [33f4701c7363e8b81858dafbf0350eed]
-    D        [Univariate Data Series] [RSP - Transportmi...] [2008-12-22 20:00:43] [b187fac1a1b0cb3920f54366df47fea3]
-    D        [Univariate Data Series] [RSP - transportmi...] [2008-12-22 20:02:48] [b641c14ac36cb6fee377f3b099dcac19]
-   PD        [Univariate Data Series] [RSP - Transportmi...] [2008-12-22 20:47:35] [b187fac1a1b0cb3920f54366df47fea3]
-   PD        [Univariate Data Series] [RSP - Transportmi...] [2008-12-22 20:59:46] [33f4701c7363e8b81858dafbf0350eed]
-    D      [Univariate Data Series] [RSP - Machines ve...] [2008-12-22 19:56:52] [b187fac1a1b0cb3920f54366df47fea3]
-    D      [Univariate Data Series] [RSP - machines ve...] [2008-12-22 19:59:35] [b641c14ac36cb6fee377f3b099dcac19]
-   PD      [Univariate Data Series] [RSP - Machines ve...] [2008-12-22 20:39:46] [b187fac1a1b0cb3920f54366df47fea3]
-   PD      [Univariate Data Series] [Machines vervaard...] [2008-12-22 20:42:05] [b187fac1a1b0cb3920f54366df47fea3]
-   PD      [Univariate Data Series] [RSP - Machines ve...] [2008-12-22 20:55:24] [33f4701c7363e8b81858dafbf0350eed]
- RMPD    [Univariate Data Series] [US Car sales] [2010-11-06 12:59:49] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   PD      [Univariate Data Series] [US Gasoline Sales] [2010-11-06 13:09:53] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
- R P         [Univariate Data Series] [] [2011-11-15 18:58:09] [9401a40688cf36283be626153bc5a38b]
- R P         [Univariate Data Series] [] [2011-11-15 20:57:02] [ec2187f7727da5d5d939740b21b8b68a]
- R P         [Univariate Data Series] [Paper - Toetsen v...] [2011-12-11 12:41:52] [69d59b79aaf660457acc70a0ef0bfdab]

[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

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7780&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]2 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=7780&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7780&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Univariate Dataseries
Name of dataseriescolombia
Sourcewww.ico.org
DescriptionPrices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)
Number of observations360

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & colombia \tabularnewline
Source & www.ico.org \tabularnewline
Description & Prices paid to growers in exporting 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=7780&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]colombia[/C][/ROW]
[ROW][C]Source[/C][C]www.ico.org[/C][/ROW]
[ROW][C]Description[/C][C]Prices paid to growers in exporting 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=7780&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7780&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 dataseriescolombia
Sourcewww.ico.org
DescriptionPrices paid to growers in exporting 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) ;
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) ;
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')