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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 Mon, 22 Apr 2024 22:07:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7780, Retrieved Mon, 22 Apr 2024 22:07:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordstime series, arabica, colombia, tutorial
Estimated Impact1385
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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Dataseries X:
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




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:  

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:  

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



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')