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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 computationMon, 24 Sep 2012 03:06:48 -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/24/t1348470531i6f2rgrptra2i6h.htm/, Retrieved Sun, 28 Apr 2024 13:29:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169814, Retrieved Sun, 28 Apr 2024 13:29:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130

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] [] [2012-09-24 07:06:48] [6a3415387e2fe7a9c468ed9333e4c178] [Current]
- RMPD    [Histogram] [histogram eigen s...] [2012-09-28 20:32:20] [3814b2d887862d3606085ab7f3bdf2a7]
- RMPD    [Histogram] [histogram 2 eigen...] [2012-09-28 20:35:49] [3814b2d887862d3606085ab7f3bdf2a7]
- RMPD    [Histogram] [histogram 3 eigen...] [2012-09-28 20:37:37] [3814b2d887862d3606085ab7f3bdf2a7]
- RMPD    [Kernel Density Estimation] [dichtheidgrafiek ...] [2012-09-28 20:41:10] [3814b2d887862d3606085ab7f3bdf2a7]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,34
0,34
0,34
0,34
0,34
0,34
0,34
0,34
0,34
0,34
0,34
0,34
0,34
0,35
0,35
0,35
0,35
0,35
0,35
0,35
0,36
0,36
0,38
0,38
0,39
0,39
0,39
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,39
0,39
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,4
0,41
0,41
0,41
0,41
0,41
0,41
0,42
0,42
0,42
0,42

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'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169814&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]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169814&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169814&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'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Univariate Dataseries
Name of dataseriesYoghurt met fruit (mager) 125 g
Source
DescriptionYoghurt met fruit (mager) 125 g
Number of observations71

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Yoghurt met fruit (mager) 125 g		 \tabularnewline
Source &  \tabularnewline
Description & Yoghurt met fruit (mager) 125 g		 \tabularnewline
Number of observations & 71 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169814&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Yoghurt met fruit (mager) 125 g		[/C][/ROW]
[ROW][C]Source[/C][C][/C][/ROW]
[ROW][C]Description[/C][C]Yoghurt met fruit (mager) 125 g		[/C][/ROW]
[ROW][C]Number of observations[/C][C]71[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169814&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169814&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 dataseriesYoghurt met fruit (mager) 125 g
Source
DescriptionYoghurt met fruit (mager) 125 g
Number of observations71


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Yoghurt met fruit (mager) 125 g ; par3 = Yoghurt met fruit (mager) 125 g ; par4 = 12 ;
Parameters (R input):
par1 = Yoghurt met fruit (mager) 125 g ; par2 = ; par3 = Yoghurt met fruit (mager) 125 g ; 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')