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Author's title

Wisselkoersen - Referentiewisselkoersen voor de euro in nationale munteenhe...

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationSun, 17 Feb 2008 06:56:24 -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/Feb/17/t1203256735s1njt1djy3txzyi.htm/, Retrieved Thu, 09 May 2024 23:17:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8292, Retrieved Thu, 09 May 2024 23:17:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsEuro, Dollar
Estimated Impact238
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [Wisselkoersen - R...] [2008-02-17 13:56:24] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1.327
1.3231
1.3106
1.3084
1.3006
1.3018
1.2988
1.2984
1.2893
1.2941
1.2953
1.2909
1.2922
1.2958
1.2936
1.304
1.3005
1.2978
1.2901
1.2921
1.2972
1.2954
1.302
1.302
1.2925
1.2955
1.2987
1.2991
1.3007
1.2956
1.3022
1.3082
1.3137
1.3119
1.3132
1.3145
1.3145
1.3106
1.3134
1.316
1.323
1.3211
1.3225
1.3163
1.3083
1.31
1.3135
1.3152
1.3155
1.3156
1.3218
1.3183
1.3226
1.3325
1.3303
1.3296
1.3293
1.3351
1.3327
1.3265
1.3347
1.3348
1.3352
1.3318
1.3366
1.3358
1.3352
1.3373
1.3426
1.3418
1.3467
1.3532
1.355
1.3549
1.3577
1.3601
1.3606
1.3557
1.3582
1.3649
1.3596
1.3643
1.3605
1.3588
1.3613
1.3561
1.3615
1.3558
1.3535
1.3527
1.3486
1.3549
1.3538
1.3574
1.3516
1.3477
1.3444
1.3454
1.349
1.3448
1.3441
1.3453
1.3509
1.342
1.3453
1.3436
1.3482
1.3532
1.3513
1.347
1.3349
1.3355
1.3345
1.3287
1.3304
1.3314
1.3404
1.3403
1.3427
1.3397
1.3441
1.3461
1.346
1.3438
1.3467
1.3505
1.3588
1.3601
1.3618
1.364
1.3596
1.3621
1.3666
1.3753
1.3788
1.3782
1.3781
1.3771
1.3779
1.382
1.3803
1.3821
1.3833
1.3743
1.3722
1.3651
1.3659
1.3707
1.3663
1.3664
1.3694
1.3818
1.3794
1.3794
1.3729
1.365
1.3651
1.3591
1.3476
1.3405
1.3454
1.3476
1.3508
1.3493
1.3574
1.3615
1.3658
1.3664
1.3631
1.361
1.3705
1.3632
1.358
1.3588
1.3669
1.3696
1.3795
1.3824
1.3885
1.3897
1.386
1.3877
1.3867
1.3975
1.403
1.4049
1.4113
1.4106
1.4127
1.418
1.4179
1.4232
1.4165
1.4195
1.4109
1.4136
1.4089
1.4037
1.4146
1.4199
1.4173
1.4226
1.415
1.42
1.4299
1.4288
1.4166
1.4254
1.423
1.4309
1.4384
1.4391
1.4407
1.4447
1.4423
1.4479
1.4488
1.4547
1.4722
1.4666
1.4683
1.4579
1.4607
1.47
1.4639
1.4651
1.4654
1.4785
1.4814
1.4829
1.4809
1.4845
1.4874
1.4747
1.4738
1.4761
1.4666
1.4741
1.472
1.4554
1.4649
1.4718
1.4672
1.4675
1.4683
1.4509
1.4393
1.4416
1.4385
1.4349
1.438
1.4398
1.4516
1.4692
1.4721




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 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 & 6 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8292&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]6 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=8292&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8292&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 time6 seconds
R Server'George Udny Yule' @ 72.249.76.132







Univariate Dataseries
Name of dataseriesWisselkoersen - Referentiewisselkoersen voor de euro in nationale munteenheden - Dollar van de Verenigde Staten
SourceBelgostat
Description
Number of observations255

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Wisselkoersen - Referentiewisselkoersen voor de euro in nationale munteenheden - Dollar van de Verenigde Staten \tabularnewline
Source & Belgostat \tabularnewline
Description &  \tabularnewline
Number of observations & 255 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8292&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Wisselkoersen - Referentiewisselkoersen voor de euro in nationale munteenheden - Dollar van de Verenigde Staten[/C][/ROW]
[ROW][C]Source[/C][C]Belgostat[/C][/ROW]
[ROW][C]Description[/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]255[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8292&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8292&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 dataseriesWisselkoersen - Referentiewisselkoersen voor de euro in nationale munteenheden - Dollar van de Verenigde Staten
SourceBelgostat
Description
Number of observations255



Parameters (Session):
par1 = Wisselkoersen - Referentiewisselkoersen voor de euro in nationale munteenheden - Dollar van de Verenigde Staten ; par2 = Belgostat ;
Parameters (R input):
par1 = Wisselkoersen - Referentiewisselkoersen voor de euro in nationale munteenheden - Dollar van de Verenigde Staten ; par2 = Belgostat ; par3 = ;
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')