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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 16:43:18 -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/t11995765663rnq0f6tqd9tvuc.htm/, Retrieved Fri, 14 Jun 2024 19:48:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7781, Retrieved Fri, 14 Jun 2024 19:48:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsarabica, time series, price, usa, tutorial
Estimated Impact732
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 23:43:18] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   PD    [Univariate Data Series] [Paper stationair ...] [2008-12-08 21:30:08] [74be16979710d4c4e7c6647856088456]
- R PD    [Univariate Data Series] [test] [2008-12-08 21:37:26] [74be16979710d4c4e7c6647856088456]
-   PD    [Univariate Data Series] [Bel-20 waarden] [2008-12-15 16:18:19] [74be16979710d4c4e7c6647856088456]
- RMPD      [Pearson Correlation] [autocorrelation t] [2008-12-16 20:58:01] [74be16979710d4c4e7c6647856088456]
- R PD    [Univariate Data Series] [Paper - run seque...] [2008-12-20 10:14:19] [1848c1c05ef454c234bcbe26cf08badc]
-           [Univariate Data Series] [Paper - run-seque...] [2008-12-20 10:36:19] [1848c1c05ef454c234bcbe26cf08badc]
-  MPD    [Univariate Data Series] [mini tut] [2010-11-12 13:58:09] [4a7069087cf9e0eda253aeed7d8c30d6]
-  MPD    [Univariate Data Series] [] [2010-11-12 14:26:20] [1251ac2db27b84d4a3ba43449388906b]
-  MPD    [Univariate Data Series] [Berekening 3] [2010-11-15 13:46:04] [b659239b537e56f17142ee5c56ad6265]
- RMPD    [Univariate Data Series] [mini tutorial 3 r...] [2010-11-15 22:21:00] [4eaa304e6a28c475ba490fccf4c01ad3]
F RMPD    [Central Tendency] [Retailprices US] [2010-11-16 11:13:12] [c2a9e95daa10045f9fd6252038bcb219]
- RMP       [Blocked Bootstrap Plot - Central Tendency] [Blocked Bootstrap...] [2010-11-16 11:54:11] [c2a9e95daa10045f9fd6252038bcb219]
- R         [Central Tendency] [Retailprijzen USA] [2010-11-25 16:31:39] [5b90046bcdf0f277a2c54de2210570b9]
- RMPD    [Univariate Data Series] [] [2010-11-23 14:28:58] [9315c5fa5df29386545a575306c6a452]
-           [Univariate Data Series] [] [2010-11-25 10:59:16] [91de8b765895d6ee0c73f0d2e284be17]
- RMPD    [Univariate Data Series] [] [2010-11-23 15:55:22] [d151a1f90c2d38425a986bf939030c8f]
- RMPD    [Univariate Explorative Data Analysis] [workshop 3 onderd...] [2010-11-24 13:40:45] [efd13e24149aec704f3383e33c1e842a]
-   PD      [Univariate Explorative Data Analysis] [autocorrelatie Di...] [2010-11-24 17:36:22] [8ed0bd3560b9ca2814a2ed0a29182575]
-    D        [Univariate Explorative Data Analysis] [autocorrelatie wa...] [2010-11-24 17:39:02] [8ed0bd3560b9ca2814a2ed0a29182575]
- RMPD    [Univariate Data Series] [workshop 3 onderd...] [2010-11-24 13:57:34] [efd13e24149aec704f3383e33c1e842a]
- RMPD    [Standard Deviation Plot] [workshop 3 onderd...] [2010-11-24 14:02:02] [efd13e24149aec704f3383e33c1e842a]
-    D      [Standard Deviation Plot] [seasonality] [2010-11-24 14:09:49] [8b7e5d4d87654725a776c7f35eb4752f]
-             [Standard Deviation Plot] [seasonality] [2010-11-24 14:12:37] [8b7e5d4d87654725a776c7f35eb4752f]
-   P         [Standard Deviation Plot] [] [2010-11-26 19:58:47] [dc73d270d5d96f29ff77294e1b86f79b]
-  MPD    [Univariate Data Series] [Run Sequence Plot...] [2010-11-24 16:15:27] [8ed0bd3560b9ca2814a2ed0a29182575]
-  MPD    [Univariate Data Series] [Run Sequence Plot...] [2010-11-24 16:19:59] [8ed0bd3560b9ca2814a2ed0a29182575]
-  MPD    [Univariate Data Series] [Workshop 6 - Simp...] [2010-11-24 16:39:36] [8677c3f87cec9201607d40be65aa9670]
- RMPD    [Univariate Data Series] [workshop 3 onderd...] [2010-11-25 16:33:50] [efd13e24149aec704f3383e33c1e842a]
- RMPD    [Univariate Data Series] [Mini-Tutorial] [2010-11-25 20:21:08] [845827b7f02503df17c96f445745fee7]
-   PD      [Univariate Data Series] [Mini-Tutorial (Un...] [2010-11-25 20:59:07] [845827b7f02503df17c96f445745fee7]
- RMPD    [Univariate Data Series] [BBP in België] [2010-12-22 13:07:15] [96348ef82925ade81ab3c243141d80f1]
- RMPD    [Univariate Data Series] [inflatie in Belgi...] [2010-12-22 13:07:15] [96348ef82925ade81ab3c243141d80f1]
-    D      [Univariate Data Series] [univariate analyse] [2010-12-22 14:11:03] [30b3e197115d238a51c18bcedc33a6a5]
-   PD      [Univariate Data Series] [univariate analys...] [2010-12-22 14:14:11] [30b3e197115d238a51c18bcedc33a6a5]
-   PD      [Univariate Data Series] [univariate analys...] [2010-12-22 17:44:43] [96348ef82925ade81ab3c243141d80f1]
- RMPD    [Histogram] [histogram inflatie] [2010-12-22 13:21:55] [96348ef82925ade81ab3c243141d80f1]
-    D      [Histogram] [Historgram Inflatie] [2010-12-22 14:20:36] [30b3e197115d238a51c18bcedc33a6a5]
-    D        [Histogram] [Histogram BBP] [2010-12-22 14:24:29] [30b3e197115d238a51c18bcedc33a6a5]
- RMPD        [Bootstrap Plot - Central Tendency] [blocked bootstrap] [2010-12-22 14:35:50] [30b3e197115d238a51c18bcedc33a6a5]
-    D          [Bootstrap Plot - Central Tendency] [notched boxplots ...] [2010-12-22 17:51:05] [96348ef82925ade81ab3c243141d80f1]
- RMPD        [Bootstrap Plot - Central Tendency] [blocked bootstrap...] [2010-12-22 14:40:22] [30b3e197115d238a51c18bcedc33a6a5]
-    D      [Histogram] [histogram BBP] [2010-12-22 17:46:44] [96348ef82925ade81ab3c243141d80f1]
- RMPD    [Univariate Data Series] [Arabica Price (USA)] [2011-11-12 14:43:33] [74be16979710d4c4e7c6647856088456]
- RMPD    [Univariate Data Series] [compendium 6] [2011-11-13 12:32:49] [74be16979710d4c4e7c6647856088456]
- RMPD    [Univariate Data Series] [america price] [2011-11-13 12:39:25] [22f8bc702946f784836540059d0d9516]
- RMPD    [Univariate Data Series] [] [2011-11-13 15:53:42] [50e3859e0b739a5118d466e989dfc0cb]
-    D      [Univariate Data Series] [] [2011-11-13 16:26:18] [50e3859e0b739a5118d466e989dfc0cb]
- RMPD    [Univariate Data Series] [] [2011-11-13 15:53:44] [72554d79606dc183296fd485368f0ec1]

[Truncated]
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Dataseries X:
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




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=7781&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=7781&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7781&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Univariate Dataseries
Name of dataseriesusa price
Sourcewww.ico.org
DescriptionRetail prices in importing 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 & usa price \tabularnewline
Source & www.ico.org \tabularnewline
Description & 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=7781&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]usa price[/C][/ROW]
[ROW][C]Source[/C][C]www.ico.org[/C][/ROW]
[ROW][C]Description[/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=7781&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7781&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 dataseriesusa price
Sourcewww.ico.org
DescriptionRetail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12)
Number of observations360



Parameters (Session):
par1 = usa price ; par2 = www.ico.org ; par3 = Retail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) ;
Parameters (R input):
par1 = usa price ; par2 = www.ico.org ; par3 = 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')
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')