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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 computationFri, 12 Aug 2016 11:23:50 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Aug/12/t1470997454z4v1th8xxkkpqh5.htm/, Retrieved Sun, 05 May 2024 13:53:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296418, Retrieved Sun, 05 May 2024 13:53:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128

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 Mentos Aardbei] [2016-07-17 11:11:37] [74be16979710d4c4e7c6647856088456]
-   P   [Univariate Data Series] [Omzet Mentos Aardbei] [2016-08-02 12:13:56] [74be16979710d4c4e7c6647856088456]
-   P     [Univariate Data Series] [] [2016-08-12 10:07:18] [74be16979710d4c4e7c6647856088456]
- R  D        [Univariate Data Series] [] [2016-08-12 10:23:50] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMP           [Histogram] [] [2016-08-12 10:31:52] [74be16979710d4c4e7c6647856088456]
- RMP             [Kernel Density Estimation] [] [2016-08-12 11:05:45] [74be16979710d4c4e7c6647856088456]
- RMPD            [Quartiles] [] [2016-08-12 11:55:21] [74be16979710d4c4e7c6647856088456]
- RMP           [Histogram] [] [2016-08-12 10:59:21] [74be16979710d4c4e7c6647856088456]
- RMPD          [Notched Boxplots] [] [2016-08-12 13:23:36] [74be16979710d4c4e7c6647856088456]
- RMP           [Harrell-Davis Quantiles] [] [2016-08-12 14:10:41] [74be16979710d4c4e7c6647856088456]
- RMP           [Harrell-Davis Quantiles] [] [2016-08-12 14:26:51] [74be16979710d4c4e7c6647856088456]
- RMPD          [Central Tendency] [] [2016-08-12 14:39:44] [74be16979710d4c4e7c6647856088456]
- RMP           [Mean Plot] [] [2016-08-12 15:18:13] [74be16979710d4c4e7c6647856088456]
- RMP           [(Partial) Autocorrelation Function] [] [2016-08-12 17:19:45] [74be16979710d4c4e7c6647856088456]
- RMP           [(Partial) Autocorrelation Function] [] [2016-08-12 18:07:50] [74be16979710d4c4e7c6647856088456]
- RMP           [Standard Deviation Plot] [] [2016-08-12 18:23:02] [74be16979710d4c4e7c6647856088456]
- RMP           [Standard Deviation-Mean Plot] [] [2016-08-12 19:21:24] [74be16979710d4c4e7c6647856088456]
- RMP           [Classical Decomposition] [] [2016-08-12 19:49:08] [74be16979710d4c4e7c6647856088456]
- RMP           [Exponential Smoothing] [] [2016-08-12 23:14:13] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
425.25
417.75
410.25
395.25
546.75
539.25
425.25
349.50
357.00
357.00
364.50
380.25
334.50
288.75
251.25
251.25
395.25
410.25
296.25
167.25
235.50
235.50
288.75
319.50
312.00
235.50
273.75
258.75
387.75
357.00
235.50
144.75
228.00
251.25
273.75
303.75
243.00
190.50
213.00
220.50
417.75
417.75
303.75
288.75
334.50
312.00
372.75
448.50
463.50
357.00
327.00
296.25
501.75
516.75
478.50
516.75
509.25
448.50
516.75
592.50
623.25
531.75
471.00
516.75
714.00
774.75
759.75
789.75
782.25
706.50
835.50
866.25
911.25
774.75
721.50
782.25
927.00
1056.00
1025.25
1025.25
1040.25
987.75
1124.25
1124.25
1101.00
972.00
995.25
1010.25
1109.25
1238.25
1146.75
1192.50
1154.25
1131.75
1306.50
1268.25
1215.00
1139.25
1215.00
1253.25
1299.00
1359.75
1299.00
1336.50
1290.75
1283.25
1473.00
1488.75
1428.00
1321.50
1412.25
1450.50
1496.25
1564.50
1496.25
1549.50
1526.25
1443.00
1617.75
1617.75

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational 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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296418&T=0

[TABLE]
[ROW][C]Summary of computational 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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296418&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296418&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Univariate Dataseries
Name of dataseriesOmzet Mentos Aardbei
Sourceniet gekend
DescriptionOmzet van Mentos Aardbei per maand in euro.
Number of observations120

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Omzet Mentos Aardbei \tabularnewline
Source & niet gekend \tabularnewline
Description & Omzet van Mentos Aardbei per maand in euro. \tabularnewline
Number of observations & 120 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296418&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Omzet Mentos Aardbei[/C][/ROW]
[ROW][C]Source[/C][C]niet gekend[/C][/ROW]
[ROW][C]Description[/C][C]Omzet van Mentos Aardbei per maand in euro.[/C][/ROW]
[ROW][C]Number of observations[/C][C]120[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296418&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296418&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 Mentos Aardbei
Sourceniet gekend
DescriptionOmzet van Mentos Aardbei per maand in euro.
Number of observations120


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Omzet Mentos Aardbei ; par2 = niet gekend ; par3 = Omzet van Mentos Aardbei per maand in euro. ; par4 = 12 ;
Parameters (R input):
par1 = Omzet Mentos Aardbei ; par2 = niet gekend ; par3 = Omzet van Mentos Aardbei per maand in euro. ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'Omzet van Mentos Aardbei per maand in euro.'
par2 <- 'niet gekend'
par1 <- 'Omzet Mentos Aardbei'
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')