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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationWed, 16 Dec 2015 19:09:29 +0000
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/Dec/16/t14502929835y1qowkhya5u9j4.htm/, Retrieved Thu, 16 May 2024 20:54:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286736, Retrieved Thu, 16 May 2024 20:54:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80

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] [] [2015-12-16 19:09:29] [0f06e4fdd8087d4b3abca42184bf2a00] [Current]
- RMP     [Mean Plot] [] [2015-12-16 19:15:48] [c4d175d45982400f45768592120a8602]
- RM        [Variance Reduction Matrix] [] [2015-12-16 19:29:45] [c4d175d45982400f45768592120a8602]
- RMP         [(Partial) Autocorrelation Function] [] [2015-12-16 19:34:59] [c4d175d45982400f45768592120a8602]
- RMP         [(Partial) Autocorrelation Function] [] [2015-12-16 19:37:59] [c4d175d45982400f45768592120a8602]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87.29
88.19
89.1
89.1
103.65
127.75
125.47
125.47
109.11
100.01
95.01
85.01
86.83
86.83
86.83
86.83
100.47
111.38
105.47
102.74
105.01
96.38
94.1
86.83
92.74
93.2
95.47
96.38
99.56
120.47
123.2
114.11
120.93
102.74
101.83
95.47
100.01
100.01
98.2
100.01
103.65
114.56
134.11
131.84
113.65
107.29
102.29
94.56
97.29
98.2
95.47
100.47
116.38
117.29
140.93
120.02
111.38
108.65
105.92
99.1
101.83
102.74
102.74
105.47
108.65
139.57
110.47
118.65
120.02
109.11
108.2
101.38
106.38
108.65
107.74
105.92
129.56
139.11
125.93
123.65
118.65
110.47
110.02
100.47
104.1
106.6
105.5
107.5
117.9
136.3
156.8
135.8
130
117.5
115.8
105.5
111.6
113.2
113.1
112.5
120
147.6
149.9
131.2
134.6
122.2

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'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=286736&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=286736&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286736&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'Herman Ole Andreas Wold' @ wold.wessa.net






Univariate Dataseries
Name of dataseriesGemiddeld waterverbruik in London, Ontario
Sourcehttps://datamarket.com/data/set/22qu/monthly-water-usage-mlday-london-ontario-1966-1988#!ds=22qu&display=line
DescriptionMaandelijks waterverbruik in London, Ontario, uitgedrukt in Ml/dag voor de periode januari 1971- oktober 1979
Number of observations106

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Gemiddeld waterverbruik in London, Ontario  \tabularnewline
Source & https://datamarket.com/data/set/22qu/monthly-water-usage-mlday-london-ontario-1966-1988#!ds=22qu&display=line \tabularnewline
Description & Maandelijks waterverbruik in London, Ontario, uitgedrukt in Ml/dag voor de periode januari 1971- oktober 1979 \tabularnewline
Number of observations & 106 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286736&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Gemiddeld waterverbruik in London, Ontario [/C][/ROW]
[ROW][C]Source[/C][C]https://datamarket.com/data/set/22qu/monthly-water-usage-mlday-london-ontario-1966-1988#!ds=22qu&display=line[/C][/ROW]
[ROW][C]Description[/C][C]Maandelijks waterverbruik in London, Ontario, uitgedrukt in Ml/dag voor de periode januari 1971- oktober 1979[/C][/ROW]
[ROW][C]Number of observations[/C][C]106[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286736&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286736&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 dataseriesGemiddeld waterverbruik in London, Ontario
Sourcehttps://datamarket.com/data/set/22qu/monthly-water-usage-mlday-london-ontario-1966-1988#!ds=22qu&display=line
DescriptionMaandelijks waterverbruik in London, Ontario, uitgedrukt in Ml/dag voor de periode januari 1971- oktober 1979
Number of observations106


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Gemiddeld waterverbruik in London, Ontario ; par2 = https://datamarket.com/data/set/22qu/monthly-water-usage-mlday-london-ontario-1966-1988#!ds=22qu&display=line ; par3 = Maandelijks waterverbruik in London, Ontario, uitgedrukt in Ml/dag voor de periode januari 1971- oktober 1979 ; par4 = 12 ;
Parameters (R input):
par1 = Gemiddeld waterverbruik in London, Ontario ; par2 = https://datamarket.com/data/set/22qu/monthly-water-usage-mlday-london-ontario-1966-1988#!ds=22qu&display=line ; par3 = Maandelijks waterverbruik in London, Ontario, uitgedrukt in Ml/dag voor de periode januari 1971- oktober 1979 ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- ''
par2 <- ''
par1 <- ''
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')