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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, 26 Sep 2014 20:34:07 +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/2014/Sep/26/t1411760092p6nrvkr2gzsk5gj.htm/, Retrieved Mon, 13 May 2024 09:58:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236403, Retrieved Mon, 13 May 2024 09:58:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108

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] [gemiddelde consum...] [2014-09-26 19:34:07] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMP     [Kernel Density Estimation] [gemiddelde consum...] [2014-09-29 18:56:38] [8ae5f3921d0f515f24933d117e773272]
- R         [Kernel Density Estimation] [] [2015-01-03 15:15:34] [8ae5f3921d0f515f24933d117e773272]
- RMP     [Histogram] [] [2014-09-29 18:58:46] [8ae5f3921d0f515f24933d117e773272]
- R P     [Univariate Data Series] [] [2015-01-03 09:16:40] [8ae5f3921d0f515f24933d117e773272]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
21.94
21.95
21.96
22.1
22.13
22.18
22.18
22.27
22.3
22.04
22.05
22.06
22.06
22.06
21.97
22.03
22.08
22.13
22.13
22.4
22.4
22.12
22.22
22.14
22.14
22.19
22.29
22.24
22.26
22.29
22.29
22.29
22.29
22.35
22.39
22.43
22.43
22.11
22.12
22.05
22.05
22.08
22.08
22.09
22.09
22.24
22.25
22.24
22.24
22.25
22.28
22.23
22.29
22.31
22.31
22.31
22.39
22.42
22.42
22.42
22.15
21.95
21.96
21.97
21.66
21.66
21.68
21.75
21.55
21.59
21.54
21.54

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236403&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236403&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236403&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'Herman Ole Andreas Wold' @ wold.wessa.net






Univariate Dataseries
Name of dataseriesGemiddelde consumptieprijzen per product: kleding - kledingstoffen
Sourcehttp://www.belgostat.be
DescriptionDeze data geeft de gemiddelde consumptieprijs van kledingstof voor een jurk per maand weer
Number of observations72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Gemiddelde consumptieprijzen per product: kleding - kledingstoffen \tabularnewline
Source & http://www.belgostat.be \tabularnewline
Description & Deze data geeft de gemiddelde consumptieprijs van kledingstof voor een jurk per maand weer \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236403&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Gemiddelde consumptieprijzen per product: kleding - kledingstoffen[/C][/ROW]
[ROW][C]Source[/C][C]http://www.belgostat.be[/C][/ROW]
[ROW][C]Description[/C][C]Deze data geeft de gemiddelde consumptieprijs van kledingstof voor een jurk per maand weer[/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236403&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236403&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 dataseriesGemiddelde consumptieprijzen per product: kleding - kledingstoffen
Sourcehttp://www.belgostat.be
DescriptionDeze data geeft de gemiddelde consumptieprijs van kledingstof voor een jurk per maand weer
Number of observations72


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Gemiddelde consumptieprijzen per product: kleding - kledingstoffen ; par2 = http://www.belgostat.be ; par3 = Deze data geeft de gemiddelde consumptieprijs van kledingstof voor een jurk per maand weer ; par4 = No season ;
Parameters (R input):
par1 = Gemiddelde consumptieprijzen per product: kleding - kledingstoffen ; par2 = http://www.belgostat.be ; par3 = Deze data geeft de gemiddelde consumptieprijs van kledingstof voor een jurk per maand weer ; par4 = No season ;
R code (references can be found in the software module):
par4 <- 'No season'
par3 <- 'Deze data geeft de gemiddelde consumptieprijs van kledingstof voor een jurk per maand weer'
par2 <- 'http://www.belgostat.be'
par1 <- 'Gemiddelde consumptieprijzen per product: kleding - kledingstoffen'
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')