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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationThu, 23 Apr 2020 17:45:02 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2020/Apr/23/t1587656761w16j6s2xs8l9dzi.htm/, Retrieved Fri, 07 May 2021 15:14:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319140, Retrieved Fri, 07 May 2021 15:14:55 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact44
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [] [2020-04-23 15:45:02] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
2
8
7
16
3
0
6
0
28
7
7
7
15
1
6
6
10
6
8
1
2
7
2
4
6
1
1
4
4
0
6
8
4
4
7
23
0
29
29
3
10




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319140&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]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319140&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319140&T=0

As an alternative you can also use a 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 time0 seconds
R ServerBig Analytics Cloud Computing Center







Univariate Dataseries
Name of dataseriescovid 19
Source
Descriptioncasos por dia venezuela
Number of observations41

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & covid 19 \tabularnewline
Source &  \tabularnewline
Description & casos por dia venezuela \tabularnewline
Number of observations & 41 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319140&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]covid 19[/C][/ROW]
[ROW][C]Source[/C][C][/C][/ROW]
[ROW][C]Description[/C][C]casos por dia venezuela[/C][/ROW]
[ROW][C]Number of observations[/C][C]41[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319140&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319140&T=1

As an alternative you can also use a QR Code:  

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

Univariate Dataseries
Name of dataseriescovid 19
Source
Descriptioncasos por dia venezuela
Number of observations41







Summary Statistics of dataseries x
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  0.000   2.000   6.000   7.268   8.000  29.000 

\begin{tabular}{lllllllll}
\hline
Summary Statistics of dataseries x \tabularnewline
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  0.000   2.000   6.000   7.268   8.000  29.000 
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=319140&T=2

[TABLE]
[ROW][C]Summary Statistics of dataseries x[/C][/ROW]
[ROW][C]
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  0.000   2.000   6.000   7.268   8.000  29.000 
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319140&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319140&T=2

As an alternative you can also use a 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. 
  0.000   2.000   6.000   7.268   8.000  29.000 



Parameters (Session):
par1 = covid 19 ; par3 = casos por dia venezuela ; par4 = No season ;
Parameters (R input):
par1 = covid 19 ; par2 = ; par3 = casos por dia venezuela ; par4 = No season ;
R code (references can be found in the software module):
par4 <- 'No season'
par3 <- 'casos por dia venezuela'
par2 <- ''
par1 <- 'covid 19'
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')