FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationSun, 17 Dec 2017 20:22:26 +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/2017/Dec/17/t1513538729j2xn8bu20bq1p5t.htm/, Retrieved Wed, 15 May 2024 21:33:51 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 21:33:51 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87.1
105
120.3
97
109.9
111.7
74
82.8
116.1
117.6
112.2
100
95.4
102.3
118.3
98.2
119
112.8
73.3
89
111.8
115.4
111.2
99.9
95.2
99.8
108.5
102.7
100.7
107.9
78.5
75.3
110.4
110.5
93.4
92.7
92.2
93.3
95.5
100.6
89.3
96
80
79.1
112.4
110.2
93.3
95.3
86.5
94.1
108.2
91.3
84.9
105.9
81
78.8
111.7
105.3
98.8
100.3
84.5
94.1
102.5
96.8
93.4
111
71.5
81.2
117.3
104.8
116.9
105.9
96.8
101.6
116.2
100.3
107.7
108.4
75.1
88.3
115.4
116.4
109.5
101.8
91.9
96.5
111.5
91.7
99
112
74.4
92.8
115.9
126.6
112
106.6
85.8
95.6
106
105.3
100
106.4
84.5
82.9
118.3
124.8
88.5
86.7
82
84.6
98.9
90.3
86.6
103.9
71.7
78.7
108.5
102.9
98.7
95
83.2
86.3
108.8
93.8
87.9
110.6
84.6
83.3
115.9
112.4
111.8
121.4
96.8
108.7
124.4
97.2
117.3
105.3
94.9
101.4
130.6
110.4
112.3
107.8
100.9
116.7
126.5
104.7
109.6
131.5
93.3
97.1
122.6
119
117.5
104.1
94.1
103.5
111.3
110.7
107.7
108.5
85.4
83.2
105.4
111.8
104
102.1
92
102.5
109.1
98.5
95.1
101.6
84.4
78.7
114.7
116.4
93.2
106
87.9
97.5
108.2
103.5
93.1
113.7
73.2
77.3
107.1
106.9
96.6
101
87.5
101.8
110.8
96.3
97.9
114.8
77.4
87
106.6
101.8
96.6
96.4
85.4
88.9
108.6
86.7
90.7
105.1
76.8
78.7

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Univariate Dataseries
Name of dataseriesProductie van duurzame consumptiegoederen
Source
DescriptionProductiecijfers van duurzame productiegoederen
Number of observations212

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Productie van duurzame consumptiegoederen \tabularnewline
Source &  \tabularnewline
Description & Productiecijfers van duurzame productiegoederen \tabularnewline
Number of observations & 212 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Productie van duurzame consumptiegoederen[/C][/ROW]
[ROW][C]Source[/C][C][/C][/ROW]
[ROW][C]Description[/C][C]Productiecijfers van duurzame productiegoederen[/C][/ROW]
[ROW][C]Number of observations[/C][C]212[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 dataseriesProductie van duurzame consumptiegoederen
Source
DescriptionProductiecijfers van duurzame productiegoederen
Number of observations212






Summary Statistics of dataseries x
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   71.5    91.6   100.8   100.0   110.0   131.5 


\begin{tabular}{lllllllll}
\hline
Summary Statistics of dataseries x \tabularnewline

> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   71.5    91.6   100.8   100.0   110.0   131.5 

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=2

[TABLE]
[ROW][C]Summary Statistics of dataseries x[/C][/ROW]
[ROW][C]
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   71.5    91.6   100.8   100.0   110.0   131.5 

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary Statistics of dataseries x
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   71.5    91.6   100.8   100.0   110.0   131.5


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Productie van duurzame consumptiegoederen ; par3 = Productiecijfers van duurzame productiegoederen ; par4 = 12 ;
Parameters (R input):
par1 = Productie van duurzame consumptiegoederen ; par2 = ; par3 = Productiecijfers van duurzame productiegoederen ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'Productiecijfers van duurzame productiegoederen'
par2 <- ''
par1 <- 'Productie van duurzame consumptiegoederen'
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')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary Statistics of dataseries x',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('summary(x)'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')