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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationWed, 22 Feb 2012 18:02:11 -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/2012/Feb/22/t1329951852duj9dwbp5gnnl8s.htm/, Retrieved Mon, 06 May 2024 12:32:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163269, Retrieved Mon, 06 May 2024 12:32:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [Consumptieprijzen...] [2012-02-22 23:02:11] [82057307b3bba110026a30ac56165df7] [Current]
- RMP     [Histogram] [] [2012-03-01 08:25:11] [0f9d949f1cf564cdbb6db074de6cab6b]
- RMP     [Kernel Density Estimation] [] [2012-03-01 08:32:57] [0f9d949f1cf564cdbb6db074de6cab6b]
- RMPD    [Quartiles] [] [2012-03-01 11:20:12] [0f9d949f1cf564cdbb6db074de6cab6b]
- RMPD    [Notched Boxplots] [] [2012-03-01 11:33:26] [0f9d949f1cf564cdbb6db074de6cab6b]
- RMPD    [Quartiles] [] [2012-03-01 11:38:22] [0f9d949f1cf564cdbb6db074de6cab6b]
- RMPD    [Notched Boxplots] [] [2012-03-01 12:31:52] [0f9d949f1cf564cdbb6db074de6cab6b]
- RMP     [Notched Boxplots] [] [2012-03-01 12:37:48] [0f9d949f1cf564cdbb6db074de6cab6b]
- RMPD    [Harrell-Davis Quantiles] [] [2012-03-01 12:42:21] [0f9d949f1cf564cdbb6db074de6cab6b]
- RMPD    [Harrell-Davis Quantiles] [] [2012-03-01 12:45:08] [0f9d949f1cf564cdbb6db074de6cab6b]
- RMPD    [Central Tendency] [] [2012-03-01 14:22:56] [0f9d949f1cf564cdbb6db074de6cab6b]
- RMPD    [Mean versus Median] [] [2012-03-01 14:38:34] [0f9d949f1cf564cdbb6db074de6cab6b]
- RMP     [Central Tendency] [] [2012-03-01 14:44:17] [0f9d949f1cf564cdbb6db074de6cab6b]
- RMP     [Mean versus Median] [] [2012-03-01 14:50:16] [0f9d949f1cf564cdbb6db074de6cab6b]
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Dataseries X:
111
111
112
115
115
115
116
116
112
110
111
111
108
109
112
113
114
115
116
114
115
117
121
119
119
119
122
123
127
130
131
126
125
121
114
109
108
110
110
111
113
116
115
117
116
115
117
117
119
118
122
124
125
125
124
124
125
125
126
129
131
132
135
137
138
136
136
136
138
138
138
138




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163269&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163269&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163269&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'Gertrude Mary Cox' @ cox.wessa.net







Univariate Dataseries
Name of dataseriesIndexcijfers van de consumptieprijzen (2004=100):Gebruik van privé-voertuigen
SourceBelgostat
DescriptionConsumptieprijzen voor gebruik van privé-voertuigen
Number of observations72

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Indexcijfers van de consumptieprijzen (2004=100):Gebruik van privé-voertuigen \tabularnewline
Source & Belgostat \tabularnewline
Description & Consumptieprijzen voor gebruik van privé-voertuigen \tabularnewline
Number of observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163269&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Indexcijfers van de consumptieprijzen (2004=100):Gebruik van privé-voertuigen[/C][/ROW]
[ROW][C]Source[/C][C]Belgostat[/C][/ROW]
[ROW][C]Description[/C][C]Consumptieprijzen voor gebruik van privé-voertuigen[/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163269&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163269&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 dataseriesIndexcijfers van de consumptieprijzen (2004=100):Gebruik van privé-voertuigen
SourceBelgostat
DescriptionConsumptieprijzen voor gebruik van privé-voertuigen
Number of observations72



Parameters (Session):
par1 = Indexcijfers van de consumptieprijzen (2004=100):Gebruik van privé-voertuigen ; par2 = Belgostat ; par3 = Consumptieprijzen voor gebruik van privé-voertuigen ; par4 = 6 ;
Parameters (R input):
par1 = Indexcijfers van de consumptieprijzen (2004=100):Gebruik van privé-voertuigen ; par2 = Belgostat ; par3 = Consumptieprijzen voor gebruik van privé-voertuigen ; par4 = 6 ;
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')