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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 computationSun, 13 Aug 2017 15:18:18 +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/13/t1502630325u22zjhcm7i8vvqq.htm/, Retrieved Fri, 10 May 2024 20:01:22 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 10 May 2024 20:01:22 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.684.800
1.622.400
1.716.000
1.372.800
1.778.400
1.747.200
1.872.000
1.934.400
2.152.800
1.872.000
1.778.400
2.215.200
1.872.000
1.404.000
1.653.600
1.248.000
1.747.200
1.435.200
1.903.200
1.716.000
1.809.600
2.028.000
1.996.800
2.371.200
1.716.000
1.435.200
1.591.200
1.154.400
1.653.600
1.279.200
1.809.600
1.716.000
1.528.800
2.184.000
1.965.600
2.246.400
1.684.800
1.560.000
1.404.000
1.154.400
1.528.800
1.372.800
1.872.000
1.809.600
1.560.000
2.090.400
1.934.400
2.496.000
1.996.800
1.216.800
1.216.800
1.216.800
1.435.200
1.435.200
1.934.400
1.778.400
1.591.200
1.996.800
1.840.800
2.652.000
2.090.400
1.216.800
1.279.200
1.060.800
1.466.400
1.684.800
2.121.600
2.090.400
1.684.800
1.965.600
1.747.200
2.496.000
1.903.200
1.528.800
1.372.800
1.029.600
1.528.800
1.840.800
2.152.800
2.028.000
1.497.600
2.152.800
1.684.800
2.589.600
2.152.800
1.560.000
1.435.200
967.200
1.528.800
1.466.400
2.215.200
2.215.200
1.684.800
2.184.000
1.622.400
2.527.200
2.152.800
1.591.200
1.216.800
842.400
1.653.600
1.591.200
2.090.400
2.402.400
1.778.400
1.996.800
1.497.600
2.589.600

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\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 time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time0 seconds
R ServerBig Analytics Cloud Computing Center


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Default12480.0112120.011210,111010012additive1212aantal verkochte tijdschriften 'Linda' ; par2 = 110.9912SingleSingle/ ; par3 = 001additiveadditiveDeze cijferreeks toont alle verkochte tijdschriften 'Linda' ; par4 = 000121212 ; par5 = 121212 ; par6 = White NoiseWhite NoiseWhite Noise ; par7 = 0.950.95 ;
Parameters (R input):
par1 = aantal verkochte tijdschriften ; par2 = / ; par3 = Deze cijferreeks toont alle verkochte tijdschriften ; 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')