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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 14:03:27 -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/t1347905202ck5lcvp9q60c5nh.htm/, Retrieved Fri, 03 May 2024 11:15:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169633, Retrieved Fri, 03 May 2024 11:15:54 +0000
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Original text written by user:prijsevolutie van het tarief van garagisten van 01/2006-12/2011
IsPrivate?No (this computation is public)
User-defined keywordsuurtarief garagist
Estimated Impact215
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [gemiddelde consum...] [2012-09-17 18:03:27] [21b9ad762194a0cf58934491430d34cc] [Current]
-   PD    [Univariate Data Series] [Maximum prijs tic...] [2012-09-24 07:53:17] [b3a5db2cda32ac9fa066d225241dc941]
- R PD      [Univariate Data Series] [prijs tickets stu...] [2012-10-04 17:28:35] [74be16979710d4c4e7c6647856088456]
- RMPD      [Histogram] [prijs per ticket] [2012-10-04 17:36:22] [b3a5db2cda32ac9fa066d225241dc941]
- RMPD      [Histogram] [prijs per ticket] [2012-10-04 17:39:29] [b3a5db2cda32ac9fa066d225241dc941]
- RMPD    [Histogram] [Maximum prijs tic...] [2012-09-24 08:00:27] [b3a5db2cda32ac9fa066d225241dc941]
- RMPD    [Histogram] [uurtarief garage] [2012-10-04 17:44:51] [b3a5db2cda32ac9fa066d225241dc941]
- RMPD    [Kernel Density Estimation] [uurprijs garage] [2012-10-04 17:47:03] [b3a5db2cda32ac9fa066d225241dc941]
- RMPD    [Quartiles] [studio 100 prijs ...] [2012-10-04 17:50:45] [b3a5db2cda32ac9fa066d225241dc941]
- RMPD    [Notched Boxplots] [prijs per ticket ...] [2012-10-04 17:54:53] [b3a5db2cda32ac9fa066d225241dc941]
- RMPD    [Quartiles] [prijs per uur garage] [2012-10-04 17:58:40] [b3a5db2cda32ac9fa066d225241dc941]
- RMPD    [Notched Boxplots] [garage prijs per uur] [2012-10-04 18:00:43] [b3a5db2cda32ac9fa066d225241dc941]
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Dataseries X:
46.56
46.72
47.01
47.26
47.49
47.51
47.52
47.66
47.71
47.87
48
48
48.05
48.25
48.72
48.94
49.16
49.18
49.25
49.34
49.49
49.57
49.63
49.67
49.7
49.8
50.09
50.49
50.73
51.12
51.15
51.41
51.61
52.06
52.17
52.18
52.19
52.74
53.05
53.38
53.78
53.82
53.88
53.96
54.14
54.2
54.35
54.36
54.39
54.77
54.91
55.06
55.38
55.41
55.47
55.58
55.67
55.97
56.03
56.06
56.08
56.43
56.65
56.96
57.37
57.51
57.61
57.7
57.91
58.12
58.18
58.16




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=169633&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=169633&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169633&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'Herman Ole Andreas Wold' @ wold.wessa.net







Univariate Dataseries
Name of dataseriesGemiddelde consumptieprijs per product
Sourcehttp://www.belgostat.be
DescriptionUurtarief garagist
Number of observations72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Gemiddelde consumptieprijs per product \tabularnewline
Source & http://www.belgostat.be \tabularnewline
Description & Uurtarief garagist \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169633&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Gemiddelde consumptieprijs per product[/C][/ROW]
[ROW][C]Source[/C][C]http://www.belgostat.be[/C][/ROW]
[ROW][C]Description[/C][C]Uurtarief garagist[/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169633&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169633&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 dataseriesGemiddelde consumptieprijs per product
Sourcehttp://www.belgostat.be
DescriptionUurtarief garagist
Number of observations72



Parameters (Session):
par1 = Gemiddelde consumptieprijs per product ; par2 = http://www.belgostat.be ; par3 = Uurtarief garagist ; par4 = 12 ;
Parameters (R input):
par1 = Gemiddelde consumptieprijs per product ; par2 = http://www.belgostat.be ; par3 = Uurtarief garagist ; 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')