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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 computationWed, 09 Aug 2017 19:08:27 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Aug/09/t1502298540epk4hxq3m8tlc11.htm/, Retrieved Tue, 14 May 2024 16:09:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=307031, Retrieved Tue, 14 May 2024 16:09:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

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] [Omzet Mercedes A-...] [2017-08-09 17:08:27] [35d4184f59ec62fac19bf382c4afaa07] [Current]
- RMPD    [Histogram] [] [2017-08-09 19:05:16] [761e4adbe8124e6083bfb711aef3fb41]
- RMPD    [Kernel Density Estimation] [] [2017-08-09 20:11:37] [761e4adbe8124e6083bfb711aef3fb41]
- RMPD    [Kernel Density Estimation] [Yunis Eillyas] [2017-08-09 20:11:37] [761e4adbe8124e6083bfb711aef3fb41]
- RMPD    [Kernel Density Estimation] [Yunis Eillyas] [2017-08-09 20:21:50] [761e4adbe8124e6083bfb711aef3fb41]
- RMPD    [Kernel Density Estimation] [YUNIS EILLYAS ] [2017-08-09 20:32:45] [761e4adbe8124e6083bfb711aef3fb41]
- RMPD    [Notched Boxplots] [Omzet Mercedes A-...] [2017-08-09 21:15:22] [761e4adbe8124e6083bfb711aef3fb41]
- RMPD    [Harrell-Davis Quantiles] [] [2017-08-09 21:45:23] [761e4adbe8124e6083bfb711aef3fb41]
- RMPD    [Central Tendency] [] [2017-08-09 22:40:51] [761e4adbe8124e6083bfb711aef3fb41]
- RMPD    [(Partial) Autocorrelation Function] [] [2017-08-10 00:37:55] [761e4adbe8124e6083bfb711aef3fb41]
- RMP       [Standard Deviation-Mean Plot] [] [2017-08-16 11:30:21] [761e4adbe8124e6083bfb711aef3fb41]
- RMP       [Classical Decomposition] [] [2017-08-16 12:59:43] [761e4adbe8124e6083bfb711aef3fb41]
- RMPD        [Univariate Data Series] [] [2017-08-16 14:56:14] [761e4adbe8124e6083bfb711aef3fb41]
- RMPD        [Kernel Density Estimation] [] [2017-08-16 15:21:22] [761e4adbe8124e6083bfb711aef3fb41]
- RMP           [Harrell-Davis Quantiles] [] [2017-08-16 15:51:45] [761e4adbe8124e6083bfb711aef3fb41]
- RMP           [Harrell-Davis Quantiles] [] [2017-08-16 16:08:08] [761e4adbe8124e6083bfb711aef3fb41]
- RMP           [Notched Boxplots] [] [2017-08-16 16:32:00] [761e4adbe8124e6083bfb711aef3fb41]
- RMP           [Mean Plot] [] [2017-08-16 16:48:25] [761e4adbe8124e6083bfb711aef3fb41]
- RMP           [Variability] [] [2017-08-16 16:52:31] [761e4adbe8124e6083bfb711aef3fb41]
- RMP           [Standard Deviation-Mean Plot] [] [2017-08-16 16:58:16] [761e4adbe8124e6083bfb711aef3fb41]
- RMPD        [Exponential Smoothing] [] [2017-08-16 17:09:53] [761e4adbe8124e6083bfb711aef3fb41]
- RMPD        [Harrell-Davis Quantiles] [] [2017-08-16 17:17:23] [761e4adbe8124e6083bfb711aef3fb41]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3221816
3209817
3197649
3172468
3421574
3408392
3221816
3097770
3109769
3109769
3123120
3147118
3184467
3184467
3160469
3097770
3421574
3470922
3396393
3221816
3296514
3184467
3234998
3259165
3284346
3221816
3234998
3147118
3421574
3508271
3433742
3296514
3445741
3284346
3433742
3421574
3458923
3321695
3470922
3458923
3682848
3632317
3433742
3333694
3470922
3284346
3421574
3445741
3496272
3384394
3445741
3483090
3620318
3508271
3359044
3197649
3347045
2936375
3135119
3246997
3359044
3197649
3197649
3197649
3284346
3160469
2997891
2861846
2960542
2575222
2811315
2948543
2973724
2836496
2848495
2811315
2936375
2848495
2675270
2550041
2761798
2301949
2600572
2736617
2736617
2575222
2425995
2413996
2550041
2425995
2190071
2027493
2202070
1791569
2164721
2363296
2425995
2288767
2115373
2239419
2288767
2251418
1878097
1704872
1828749
1455597
1840917
1978145
2090023
1903447
1728870
1828749
1878097
1779401
1406249
1243671
1392898
982397
1430247
1704872

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=307031&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [ROW]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=307031&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307031&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 computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Univariate Dataseries
Name of dataseriesOmzet Mercedes A-klasse
SourceMercedes
DescriptionOmzet Mercedes A-klasse
Number of observations120

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Omzet Mercedes A-klasse \tabularnewline
Source & Mercedes \tabularnewline
Description & Omzet Mercedes A-klasse \tabularnewline
Number of observations & 120 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=307031&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Omzet Mercedes A-klasse[/C][/ROW]
[ROW][C]Source[/C][C]Mercedes[/C][/ROW]
[ROW][C]Description[/C][C]Omzet Mercedes A-klasse[/C][/ROW]
[ROW][C]Number of observations[/C][C]120[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=307031&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307031&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 dataseriesOmzet Mercedes A-klasse
SourceMercedes
DescriptionOmzet Mercedes A-klasse
Number of observations120






Summary Statistics of dataseries x
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
 982397 2401321 3129120 2835244 3324695 3682848 


\begin{tabular}{lllllllll}
\hline
Summary Statistics of dataseries x \tabularnewline

> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
 982397 2401321 3129120 2835244 3324695 3682848 

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=307031&T=2

[TABLE]
[ROW][C]Summary Statistics of dataseries x[/C][/ROW]
[ROW][C]
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
 982397 2401321 3129120 2835244 3324695 3682848 

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=307031&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307031&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary Statistics of dataseries x
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
 982397 2401321 3129120 2835244 3324695 3682848


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Omzet Mercedes A-klasse ; par2 = Mercedes ; par3 = Omzet Mercedes A-klasse ; par4 = 12 ;
Parameters (R input):
par1 = Omzet Mercedes A-klasse ; par2 = Mercedes ; par3 = Omzet Mercedes A-klasse ; par4 = 12 ;
R code (references can be found in the software module):
if (par4 != 'No season') {
par4 <- as.numeric(par4)
if (par4 < 4) par4 <- 12
}
summary(x)
n <- length(x)
bitmap(file='test1.png')
if (par4=='No season') {
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
axis(1,at=seq(1,n,10))
}
if (par4!='No season') {
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
axis(1,at=seq(1,n,par4))
grid(nx=0,ny=NULL,col='black')
abline(v=seq(1,n,par4),col='black',lty='dotted')
}
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')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary Statistics of dataseries x',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('summary(x)'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')