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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 computationTue, 04 Aug 2015 10:31:57 +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/2015/Aug/04/t1438680734p7hwvgs2k74vlnm.htm/, Retrieved Thu, 16 May 2024 06:38:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279836, Retrieved Thu, 16 May 2024 06:38:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130

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] [] [2015-08-04 09:31:57] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
jan/05	€5.947.968.00
feb/05	€5.925.816.00
mrt/05	€5.903.352.00
apr/05	€5.856.864.00
mei/05	€6.316.752.00
jun/05	€6.292.416.00
jul/05	€5.947.968.00
aug/05	€5.718.960.00
sep/05	€5.741.112.00
okt/05	€5.741.112.00
nov/05	€5.765.760.00
dec/05	€5.810.064.00
jan/06	€5.879.016.00
feb/06	€5.879.016.00
mrt/06	€5.834.712.00
apr/06	€5.718.960.00
mei/06	€6.316.752.00
jun/06	€6.407.856.00
jul/06	€6.270.264.00
aug/06	€5.947.968.00
sep/06	€6.085.872.00
okt/06	€5.879.016.00
nov/06	€5.972.304.00
dec/06	€6.016.920.00
jan/07	€6.063.408.00
feb/07	€5.947.968.00
mrt/07	€5.972.304.00
apr/07	€5.810.064.00
mei/07	€6.316.752.00
jun/07	€6.476.808.00
jul/07	€6.339.216.00
aug/07	€6.085.872.00
sep/07	€6.361.368.00
okt/07	€6.063.408.00
nov/07	€6.339.216.00
dec/07	€6.316.752.00
jan/08	€6.385.704.00
feb/08	€6.132.360.00
mrt/08	€6.407.856.00
apr/08	€6.385.704.00
mei/08	€6.799.104.00
jun/08	€6.705.816.00
jul/08	€6.339.216.00
aug/08	€6.154.512.00
sep/08	€6.407.856.00
okt/08	€6.063.408.00
nov/08	€6.316.752.00
dec/08	€6.361.368.00
jan/09	€6.454.656.00
feb/09	€6.248.112.00
mrt/09	€6.361.368.00
apr/09	€6.430.320.00
mei/09	€6.683.664.00
jun/09	€6.476.808.00
jul/09	€6.201.312.00
aug/09	€5.903.352.00
sep/09	€6.179.160.00
okt/09	€5.421.000.00
nov/09	€5.787.912.00
dec/09	€5.994.456.00
jan/10	€6.201.312.00
feb/10	€5.903.352.00
mrt/10	€5.903.352.00
apr/10	€5.903.352.00
mei/10	€6.063.408.00
jun/10	€5.834.712.00
jul/10	€5.534.568.00
aug/10	€5.283.408.00
sep/10	€5.465.616.00
okt/10	€4.754.256.00
nov/10	€5.190.120.00
dec/10	€5.443.464.00
jan/11	€5.489.952.00
feb/11	€5.236.608.00
mrt/11	€5.258.760.00
apr/11	€5.190.120.00
mei/11	€5.421.000.00
jun/11	€5.258.760.00
jul/11	€4.938.960.00
aug/11	€4.707.768.00
sep/11	€5.098.704.00
okt/11	€4.249.752.00
nov/11	€4.801.056.00
dec/11	€5.052.216.00
jan/12	€5.052.216.00
feb/12	€4.754.256.00
mrt/12	€4.478.760.00
apr/12	€4.456.608.00
mei/12	€4.707.768.00
jun/12	€4.478.760.00
jul/12	€4.043.208.00
aug/12	€3.743.064.00
sep/12	€4.065.360.00
okt/12	€3.307.512.00
nov/12	€3.996.408.00
dec/12	€4.363.008.00
jan/13	€4.478.760.00
feb/13	€4.225.416.00
mrt/13	€3.905.304.00
apr/13	€4.134.312.00
mei/13	€4.225.416.00
jun/13	€4.156.464.00
jul/13	€3.467.256.00
aug/13	€3.147.456.00
sep/13	€3.376.152.00
okt/13	€2.687.256.00
nov/13	€3.398.616.00
dec/13	€3.651.960.00
jan/14	€3.858.504.00
feb/14	€3.514.056.00
mrt/14	€3.191.760.00
apr/14	€3.376.152.00
mei/14	€3.467.256.00
jun/14	€3.285.048.00
jul/14	€2.596.152.00
aug/14	€2.296.008.00
sep/14	€2.571.504.00
okt/14	€1.813.656.00
nov/14	€2.640.456.00
dec/14	€3.147.456.00

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=279836&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=279836&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279836&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


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Omzet automatten ; par2 = Niet gekend ; par3 = Automatten ; par4 = 12 ;
Parameters (R input):
par1 = Omzet automatten ; par2 = Niet gekend ; par3 = Automatten ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'Automatten'
par2 <- 'Niet gekend'
par1 <- 'Omzet automatten'
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')