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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 computationThu, 31 Jan 2013 15:25:23 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Jan/31/t1359667532tnsh6hfkyj4ciig.htm/, Retrieved Mon, 06 May 2024 16:52:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205986, Retrieved Mon, 06 May 2024 16:52:33 +0000
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Original text written by user:Deze leek mij interessant omdat volgens mij er niet veel kandidaten zullen zijn die aan condooms zullen denken of zich te bescheiden voelen. Hierbij wil ik dan wel een extra verklaring bij geven. Het is namelijk zo dat je voor deze farmaceutische product kunt herleiden naar de verschillende acties die werden gedaan om zich meer te behoeden tegen OSA en zwangerschappen. Hierbij hoort dan ook een heel marketingbeleid waaronder een tal van reclame campagnes waren georganiseerd en die kun je dan ook vergelijken met deze statistieken. Natuurlijk speelt ook hier andere factoren die de aankoop beïnvloeden waardoor de prijs daalt of stijgt. Het is ook veel belangwekkender om een statistiek te nemen waar je duidelijk fluctuaties waar je veel kan over vertellen en opzoekingen kunt doen dan alleen maar een stijging of inflatie te hebben waar de oorzaak zeer simpel uitteleggen is.
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

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] [De gemiddelde con...] [2013-01-31 20:25:23] [8907525eeb8291a8059cdce9cf2ca306] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8.27
8.25
8.22
8.21
8.12
8.16
8.15
8.1
8.09
8.02
8.03
7.98
7.95
7.92
7.96
7.96
7.94
7.83
7.77
7.8
7.78
7.78
7.8
7.81
7.95
8.02
7.99
8.01
8.03
8.05
8.05
8.06
8.07
7.99
8
8.01
8
8.09
8.1
8.12
8.29
8.32
8.36
8.38
8.48
8.45
8.41
8.38
8.38
8.34
8.41
8.34
8.22
8.27
8.18
8.19
8.19
8.13
8.06
7.99
8
7.98
7.92
7.93
7.9
7.86
7.88
7.88
7.93
7.91
7.89
7.93

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205986&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205986&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205986&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Univariate Dataseries
Name of dataseriesCondooms
Sourcebelgostat
DescriptionPrijs van codooms (12 stuks) per maand in de periode van 2006-2011
Number of observations72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Condooms \tabularnewline
Source & belgostat \tabularnewline
Description & Prijs van codooms (12 stuks) per maand in de periode van 2006-2011 \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205986&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Condooms[/C][/ROW]
[ROW][C]Source[/C][C]belgostat[/C][/ROW]
[ROW][C]Description[/C][C]Prijs van codooms (12 stuks) per maand in de periode van 2006-2011[/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205986&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205986&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 dataseriesCondooms
Sourcebelgostat
DescriptionPrijs van codooms (12 stuks) per maand in de periode van 2006-2011
Number of observations72


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Condooms ; par2 = belgostat ; par3 = Prijs van codooms (12 stuks) per maand in de periode van 2006-2011 ; par4 = 12 ;
Parameters (R input):
par1 = Condooms ; par2 = belgostat ; par3 = Prijs van codooms (12 stuks) per maand in de periode van 2006-2011 ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'Prijs van codooms (12 stuks) per maand in de periode van 2006-2011'
par2 <- 'belgostat'
par1 <- 'Condooms'
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')