## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationSun, 02 Mar 2008 08:42:48 -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/Mar/02/t1204472634kobk5s74i81tzo2.htm/, Retrieved Sat, 30 Sep 2023 13:11:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9574, Retrieved Sat, 30 Sep 2023 13:11:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact1455
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Univariate Data Series] [HPC Retail Sales] [2008-03-02 15:42:48] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMPD    [Structural Time Series Models] [HPC Retail Sales] [2008-03-06 16:52:55] [74be16979710d4c4e7c6647856088456]
- R  D      [Structural Time Series Models] [HPC Retail Sales] [2008-03-08 11:12:03] [74be16979710d4c4e7c6647856088456]
- R  D      [Structural Time Series Models] [HPC Retail Sales] [2008-03-08 11:33:35] [74be16979710d4c4e7c6647856088456]
- RM D        [Structural Time Series Models] [] [2010-11-26 10:41:09] [d39e5c40c631ed6c22677d2e41dbfc7d]
- R             [Structural Time Series Models] [WS8] [2011-12-01 14:36:00] [bab4e1d4a779bb46523d87231e2a2e96]
- RMP           [Exponential Smoothing] [Exponential smoot...] [2011-12-01 14:49:47] [bab4e1d4a779bb46523d87231e2a2e96]
- RMP           [Exponential Smoothing] [Exponential smoot...] [2011-12-01 14:53:25] [bab4e1d4a779bb46523d87231e2a2e96]
-  M D        [Structural Time Series Models] [WS8 residu's] [2010-11-28 15:36:37] [65eb19f81eab2b6e672eafaed2a27190]
-  M D        [Structural Time Series Models] [WS8 Structural Ti...] [2010-11-29 10:27:42] [f4dc4aa51d65be851b8508203d9f6001]
-    D          [Structural Time Series Models] [Structural Time S...] [2010-12-17 16:42:30] [f4dc4aa51d65be851b8508203d9f6001]
- RM D        [Multiple Regression] [Basic Structural ...] [2010-11-29 14:58:28] [2843717cd92615903379c14ebee3c5df]
-  M D        [Structural Time Series Models] [Basis Structual T...] [2010-11-29 15:22:20] [2843717cd92615903379c14ebee3c5df]
-  M D        [Structural Time Series Models] [] [2010-11-29 19:38:40] [de55ccbf69577500a5f46ed42a101114]
-  M D        [Structural Time Series Models] [model 2 ws 8] [2010-11-29 22:32:28] [f74ab32c8351972dfcced0581a68b6bb]
-               [Structural Time Series Models] [] [2010-11-30 16:45:24] [fc9068db680cd880760a7c0fccd81a61]
-  M D        [Structural Time Series Models] [] [2010-11-29 23:28:06] [2db311435ed525bc1ed0ddec922afb8f]
-  M D        [Structural Time Series Models] [Structural decomp...] [2010-11-30 15:46:51] [cbb1f7583f1ea41fcafd5f9709bd0e0a]
-  M D        [Structural Time Series Models] [ws8 structural ti...] [2010-11-30 17:53:54] [74be16979710d4c4e7c6647856088456]
- RMPD        [Multiple Regression] [ws8 multiple regr...] [2010-11-30 18:01:16] [74be16979710d4c4e7c6647856088456]
-    D          [Multiple Regression] [PaperTimDamen] [2011-02-03 09:33:21] [74be16979710d4c4e7c6647856088456]
- RMPD        [Multiple Regression] [ws8 multiple regr...] [2010-11-30 18:39:59] [74be16979710d4c4e7c6647856088456]
- R PD          [Multiple Regression] [PaperTimDamen] [2011-02-03 09:54:47] [74be16979710d4c4e7c6647856088456]
-   PD            [Multiple Regression] [PaperTimDamen] [2011-02-03 11:54:00] [74be16979710d4c4e7c6647856088456]
- R PD          [Multiple Regression] [PaperTimDamen] [2011-02-03 10:03:20] [74be16979710d4c4e7c6647856088456]
- RMPD        [Multiple Regression] [ws8 multiple regr...] [2010-11-30 20:45:11] [74be16979710d4c4e7c6647856088456]
-  M D        [Structural Time Series Models] [] [2010-12-07 12:42:20] [b2f924a86c4fbfa8afa1027f3839f526]
-  M D        [Structural Time Series Models] [] [2010-12-07 12:42:20] [b2f924a86c4fbfa8afa1027f3839f526]
- RMP           [Exponential Smoothing] [] [2010-12-07 12:46:53] [b2f924a86c4fbfa8afa1027f3839f526]
- RMPD            [Multiple Regression] [] [2010-12-07 12:51:30] [b2f924a86c4fbfa8afa1027f3839f526]
-    D              [Multiple Regression] [] [2010-12-09 16:17:21] [b2f924a86c4fbfa8afa1027f3839f526]
-    D            [Exponential Smoothing] [] [2010-12-09 16:12:25] [b2f924a86c4fbfa8afa1027f3839f526]
-    D          [Structural Time Series Models] [] [2010-12-09 16:08:50] [b2f924a86c4fbfa8afa1027f3839f526]
- R               [Structural Time Series Models] [] [2010-12-10 12:32:01] [b2f924a86c4fbfa8afa1027f3839f526]
- RM D        [Structural Time Series Models] [] [2010-12-07 13:10:14] [253127ae8da904b75450fbd69fe4eb21]
-  M D        [Structural Time Series Models] [Workshop 8 - STSM] [2010-12-07 13:12:32] [ed447cc2ebcc70947ad11d93fa385845]
-  M D        [Structural Time Series Models] [] [2010-12-07 13:18:37] [253127ae8da904b75450fbd69fe4eb21]
-  M D        [Structural Time Series Models] [WS5] [2010-12-07 13:51:52] [fa854ea294f510d944d2dbf77761bfce]
-  M D        [Structural Time Series Models] [WS5] [2010-12-07 13:51:52] [fa854ea294f510d944d2dbf77761bfce]
-               [Structural Time Series Models] [ws5q5] [2010-12-08 19:32:28] [df61ce38492c371f14c407a12b3bb2eb]
- R               [Structural Time Series Models] [ws5q5] [2010-12-09 18:54:41] [a2638725f7f7c6bd63902ba17eba666b]
-                 [Structural Time Series Models] [ws5q5] [2010-12-09 19:20:09] [c4f608d390ad7371b1365a9b84541edb]
-                 [Structural Time Series Models] [Workshop 5 assign...] [2010-12-10 00:01:25] [17d39bb3ec485d4ce196f61215d11ba1]
-                 [Structural Time Series Models] [WSvraag5] [2010-12-10 13:55:58] [9c3137400ced3280b419f1e434c29e1d]
-                 [Structural Time Series Models] [] [2010-12-10 19:01:52] [c420bdd199bcbe079f7d532ca3855317]
-  M D        [Structural Time Series Models] [] [2010-12-07 19:00:52] [1ec36cc0fd92fd0f07d0b885ce2c369b]
-  M D        [Structural Time Series Models] [WS5 - monthly bir...] [2010-12-08 15:29:30] [8ed0bd3560b9ca2814a2ed0a29182575]
-    D          [Structural Time Series Models] [STSM Dollar] [2010-12-26 13:32:25] [8ed0bd3560b9ca2814a2ed0a29182575]
-    D          [Structural Time Series Models] [STSM Yuan] [2010-12-26 13:34:39] [8ed0bd3560b9ca2814a2ed0a29182575]

[Truncated]
Feedback Forum
 2009-09-15 12:04:18 [] [reply] this is a comment

Post a new message
Dataseries X:
13328
12873
14000
13477
14237
13674
13529
14058
12975
14326
14008
16193
14483
14011
15057
14884
15414
14440
14900
15074
14442
15307
14938
17193
15528
14765
15838
15723
16150
15486
15986
15983
15692
16490
15686
18897
16316
15636
17163
16534
16518
16375
16290
16352
15943
16362
16393
19051
16747
16320
17910
16961
17480
17049
16879
17473
16998
17307
17418
20169
17871
17226
19062
17804
19100
18522
18060
18869
18127
18871
18890
21263
19547
18450
20254
19240
20216
19420
19415
20018
18652
19978
19509
21971


 Summary of compuational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9574&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9574&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9574&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'George Udny Yule' @ 72.249.76.132

 Univariate Dataseries Name of dataseries HPC Retail Sales Source http://www.economagic.com Description US Retail Sales: Health and personal care stores: NAICS 446: NSA: Millions of dollars Number of observations 84

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & HPC Retail Sales \tabularnewline
Source & http://www.economagic.com \tabularnewline
Description & US Retail Sales: Health and personal care stores: NAICS 446: NSA: Millions of dollars \tabularnewline
Number of observations & 84 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9574&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]HPC Retail Sales[/C][/ROW]
[ROW][C]Source[/C][C]http://www.economagic.com[/C][/ROW]
[ROW][C]Description[/C][C]US Retail Sales: Health and personal care stores: NAICS 446: NSA: Millions of dollars[/C][/ROW]
[ROW][C]Number of observations[/C][C]84[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9574&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9574&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 dataseries HPC Retail Sales Source http://www.economagic.com Description US Retail Sales: Health and personal care stores: NAICS 446: NSA: Millions of dollars Number of observations 84

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')