FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationWed, 10 Aug 2016 13:34:50 +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/10/t1470832634motpvbjo74cpeo5.htm/, Retrieved Tue, 30 Apr 2024 05:30:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296189, Retrieved Tue, 30 Apr 2024 05:30:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

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 CC jaarbasis] [2016-08-10 12:34:50] [4bedbbf2e5251222bc39a0f973d05821] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1323594
1300315,5
1277014,5
1230432,75
1701774
1678470,75
1323594
1087935,75
1111214,25
1111214,25
1134515,25
1183623,75
1041354
898857
782167,5
782167,5
1230432,75
1277014,5
922135,5
520677
733056,75
733056,75
898857
994547,25
971244
733056,75
852277,5
805468,5
1206927
1111214,25
733056,75
450591,75
709755,75
782167,5
852277,5
945438,75
756337,5
593088,75
663198,75
686477,25
1300315,5
1300315,5
945438,75
898857
1041354
971244
1160345,25
1396005,75
1442812,5
1111214,25
1017825,75
922135,5
1561803,75
1608612,75
1489394,25
1608612,75
1585082,25
1396005,75
1608612,75
1844271
1939961,25
1655192,25
1466091
1608612,75
2222428,5
2411527,5
2364948
2458086,75
2434808,25
2199147,75
2600606,25
2696296,5
2836264,5
2411527,5
2245729,5
2434808,25
2885375,25
3286831,5
3191143,5
3191143,5
3237950,25
3074451,75
3499440,75
3499440,75
3427029
3025343,25
3097755
3144561,75
3452631,75
3854090,25
3569298,75
3711820,5
3592602
3522719,25
4066697,25
3947478,75
3781678,5
3546020,25
3781678,5
3900897
4043166,75
4232245,5
4043166,75
4159858,5
4017566,25
3994287,75
4584822,75
4633931,25
4444854,75
4113276,75
4395744
4514735,25
4657234,5
4869614,25
4657234,5
4823032,5
4750623
4491434,25
5035389,75
5035389,75

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=296189&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=296189&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296189&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 dataseriesCoca-Cola omzet in EUR op jaarbasis
SourceNiet gekend
DescriptionOmzet op jaarbasis van Coca-Cola
Number of observations120

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Coca-Cola omzet in EUR op jaarbasis \tabularnewline
Source & Niet gekend \tabularnewline
Description & Omzet op jaarbasis van Coca-Cola \tabularnewline
Number of observations & 120 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296189&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Coca-Cola omzet in EUR op jaarbasis[/C][/ROW]
[ROW][C]Source[/C][C]Niet gekend[/C][/ROW]
[ROW][C]Description[/C][C]Omzet op jaarbasis van Coca-Cola[/C][/ROW]
[ROW][C]Number of observations[/C][C]120[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296189&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296189&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 dataseriesCoca-Cola omzet in EUR op jaarbasis
SourceNiet gekend
DescriptionOmzet op jaarbasis van Coca-Cola
Number of observations120


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Coca-Cola omzet in EUR op jaarbasis ; par2 = Niet gekend ; par3 = Omzet op jaarbasis van Coca-Cola ; par4 = 12 ;
Parameters (R input):
par1 = Coca-Cola omzet in EUR op jaarbasis ; par2 = Niet gekend ; par3 = Omzet op jaarbasis van Coca-Cola ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'Omzet op jaarbasis van Coca-Cola'
par2 <- 'Niet gekend'
par1 <- 'Coca-Cola omzet in EUR op jaarbasis'
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')