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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, 01 Oct 2015 10:52:15 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/01/t14436932657uzaw86m742h6w2.htm/, Retrieved Sat, 25 May 2024 21:36:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280790, Retrieved Sat, 25 May 2024 21:36:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

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] [Consumptieprijsin...] [2015-10-01 09:52:15] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMP     [Histogram] [] [2015-10-01 11:26:41] [4fe100528ef0e3436a176b2fbd665f7c]
- RMP     [Histogram] [] [2015-10-01 11:35:34] [4fe100528ef0e3436a176b2fbd665f7c]
- RMP     [Histogram] [] [2015-10-01 11:38:40] [4fe100528ef0e3436a176b2fbd665f7c]
- RMP     [Kernel Density Estimation] [] [2015-10-01 11:42:19] [4fe100528ef0e3436a176b2fbd665f7c]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
97.41
97.32
97.33
97.38
97.47
97.5
97.5
97.58
97.7
97.9
97.98
98.03
98.03
97.94
98.12
98.19
98.34
98.42
98.43
98.45
98.77
99.24
99.46
99.54
99.55
99.24
99.43
99.47
99.57
99.62
99.64
99.75
99.85
100.28
100.52
100.57
100.57
100.27
100.27
100.18
100.16
100.18
100.18
100.59
100.69
101.06
101.15
101.16
101.16
100.81
100.94
101.13
101.29
101.34
101.35
101.7
102.05
102.48
102.66
102.72
102.73
102.18
102.22
102.37
102.53
102.61
102.62
103
103.17
103.52
103.69
103.73
99.57
99.09
99.14
99.36
99.6
99.65
99.8
100.15
100.45
100.89
101.13
101.17
101.21
101.1
101.17
101.11
101.2
101.15
100.92
101.1
101.22
101.25
101.39
101.43

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280790&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280790&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280790&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Univariate Dataseries
Name of dataseriesConsumptieprijsindex 2007-2014 kleding en schoeisel
SourceBlackboard
Descriptionconsumptieprijzen van kleding en schoeisel van 2007 tem 2014
Number of observations96

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Consumptieprijsindex 2007-2014 kleding en schoeisel \tabularnewline
Source & Blackboard \tabularnewline
Description & consumptieprijzen van kleding en schoeisel van 2007 tem 2014 \tabularnewline
Number of observations & 96 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280790&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Consumptieprijsindex 2007-2014 kleding en schoeisel[/C][/ROW]
[ROW][C]Source[/C][C]Blackboard[/C][/ROW]
[ROW][C]Description[/C][C]consumptieprijzen van kleding en schoeisel van 2007 tem 2014[/C][/ROW]
[ROW][C]Number of observations[/C][C]96[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280790&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280790&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 dataseriesConsumptieprijsindex 2007-2014 kleding en schoeisel
SourceBlackboard
Descriptionconsumptieprijzen van kleding en schoeisel van 2007 tem 2014
Number of observations96


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Consumptieprijsindex 2007-2014 kleding en schoeisel ; par2 = Blackboard ; par3 = consumptieprijzen van kleding en schoeisel van 2007 tem 2014 ; par4 = 12 ;
Parameters (R input):
par1 = Consumptieprijsindex 2007-2014 kleding en schoeisel ; par2 = Blackboard ; par3 = consumptieprijzen van kleding en schoeisel van 2007 tem 2014 ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'consumptieprijzen van kleding en schoeisel van 2007 tem 2014'
par2 <- 'Blackboard'
par1 <- 'Consumptieprijsindex 2007-2014 kleding en schoeisel'
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')