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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 computationThu, 30 Jan 2014 11:27:55 -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/2014/Jan/30/t13910993191968vjf7592ursr.htm/, Retrieved Sun, 19 May 2024 10:23:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233166, Retrieved Sun, 19 May 2024 10:23:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166

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] [] [2014-01-30 16:27:55] [bc172ccc2f9d668294f33daae64cfa82] [Current]
- RMPD    [Histogram] [] [2014-02-07 09:57:27] [ab986477f312a89f8f5cf1c8890e3df5]
- R         [Histogram] [] [2014-02-07 10:01:17] [ab986477f312a89f8f5cf1c8890e3df5]
- R P       [Histogram] [] [2014-02-07 10:02:39] [ab986477f312a89f8f5cf1c8890e3df5]
- RMP       [Kernel Density Estimation] [] [2014-02-07 10:11:47] [ab986477f312a89f8f5cf1c8890e3df5]
- RMPD    [Histogram] [] [2014-02-07 09:58:57] [ab986477f312a89f8f5cf1c8890e3df5]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
85
82
92,4
100,3
105,2
104,5
105,1
105
106,5
106
99,4
107,4
89,6
85,3
96,3
107,7
112,7
110,1
110,4
111,6
113,3
109
106,5
113
95,6
93,8
106,4
116,6
119,1
120,9
117,3
117,6
115,3
112,3
107,7
113,4
94,3
97,8
106,6
113
122,4
114,6
115
118,7
110,4
111,6
105,1
107,5
92,9
91
100,2
112,2
116,5
111,2
113,3
112,2
102,2
105,3
96
101,3
86,2
84,4
93,4
104,8
106,2
101,9
105,5
106,4
103,9
108,6
96,4
102,2
90,3
88,5
100,2
111,6
111,5
112,9
110,7
105,5
110,7
108,9
101,3
109,6
94,4
91,4
105,8
112,9
116,1
113,7
112,9
110,7
114,3
109,7
105,7
114

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233166&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233166&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233166&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'George Udny Yule' @ yule.wessa.net


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Omzetontwikkeling restaurants ; par2 = CBS Statline ; par3 = Omzetontwikkeling restaurants ; par4 = 12 ;
Parameters (R input):
par1 = Omzetontwikkeling restaurants ; par2 = CBS Statline ; par3 = Omzetontwikkeling restaurants ; 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')