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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationMon, 17 Sep 2012 04:39:09 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Sep/17/t1347871436u3g5eskvmqwj77i.htm/, Retrieved Mon, 29 Apr 2024 16:04:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169628, Retrieved Mon, 29 Apr 2024 16:04:44 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact218
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [Eau de toilette v...] [2012-09-17 08:39:09] [2ae43eb9c4bfeee46961d516995d3f9d] [Current]
- RMPD    [Histogram] [Frequentietabel g...] [2012-09-24 08:28:30] [959a443cac8f2532e98a3966c83323a2]
- R P       [Histogram] [Histogram prijs e...] [2012-11-28 10:43:24] [7b5adf8791c28a6d309d200f6742b0c3]
-   P         [Histogram] [Frequentietabel g...] [2012-11-28 10:46:14] [7b5adf8791c28a6d309d200f6742b0c3]
- RMPD    [Histogram] [Frequentietabel g...] [2012-09-24 08:30:45] [959a443cac8f2532e98a3966c83323a2]
- RMPD    [Histogram] [Frequentietabel g...] [2012-09-24 08:33:12] [959a443cac8f2532e98a3966c83323a2]
- RMPD    [Kernel Density Estimation] [Dichtheidsgrafiek...] [2012-09-24 08:41:50] [959a443cac8f2532e98a3966c83323a2]
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Dataseries X:
52,21
52,53
53,06
53,23
53,25
53,27
53,35
53,6
53,98
54,18
54,27
54,32
54,4
54,73
54,96
55,27
55,27
55,26
55,37
55,53
55,55
55,54
55,6
55,56
55,64
56,13
56,69
56,8
56,93
57
57,01
57,21
57,17
57,36
57,29
57,26
57,29
57,68
58,19
58,34
58,46
58,67
58,72
58,74
58,77
58,84
59,13
59,12
59,12
59,33
59,49
59,67
59,7
59,73
59,74
59,62
59,6
59,98
60,05
60,06
60,1
60,18
60,38
60,52
60,78
60,72
60,72
60,86
60,99
61,11
61,17
61,19




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169628&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169628&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169628&T=0

As an alternative you can also use a 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'Gwilym Jenkins' @ jenkins.wessa.net







Univariate Dataseries
Name of dataseriesEau de toilette vrouwen (50ml)
SourceBelgoStat
DescriptionMaandelijkse evolutie van de prijs van eau de toilette (50ml) voor vrouwen
Number of observations72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Eau de toilette vrouwen (50ml) \tabularnewline
Source & BelgoStat \tabularnewline
Description & Maandelijkse evolutie van de prijs van eau de toilette (50ml) voor vrouwen \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169628&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Eau de toilette vrouwen (50ml)[/C][/ROW]
[ROW][C]Source[/C][C]BelgoStat[/C][/ROW]
[ROW][C]Description[/C][C]Maandelijkse evolutie van de prijs van eau de toilette (50ml) voor vrouwen[/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169628&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169628&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Univariate Dataseries
Name of dataseriesEau de toilette vrouwen (50ml)
SourceBelgoStat
DescriptionMaandelijkse evolutie van de prijs van eau de toilette (50ml) voor vrouwen
Number of observations72



Parameters (Session):
par1 = Eau de toilette vrouwen (50ml) ; par2 = BelgoStat ; par3 = Maandelijkse evolutie van de prijs van eau de toilette (50ml) voor vrouwen ; par4 = 12 ;
Parameters (R input):
par1 = Eau de toilette vrouwen (50ml) ; par2 = BelgoStat ; par3 = Maandelijkse evolutie van de prijs van eau de toilette (50ml) voor vrouwen ; 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')