Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationTue, 19 Sep 2017 18:07:45 +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/2017/Sep/19/t1505837293d3wq7ic4xuso3rb.htm/, Retrieved Wed, 15 May 2024 09:32:22 +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 09:32:22 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0
Dataseries X:
11
13
15
29
31
22
36
39
30
20
18
13
11
16
20
29
31
24
40
41
25
19
19
18
10
17
25
30
32
24
38
36
26
25
26
16
12
15
21
33
32
24
41
38
28
24
30
18




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:  

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 dataseries aantal overnachtingen van belgen aan de Nederlandse kust
Sourcelogiesaccomodaties Belgen aan de Nederlandse kust
DescriptionHet aantal overnachtingen van belgen aan de nederlandse kust per maand
Number of observations48

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries &  aantal overnachtingen van belgen aan de Nederlandse kust \tabularnewline
Source & logiesaccomodaties Belgen aan de Nederlandse kust  \tabularnewline
Description & Het aantal overnachtingen van belgen aan de nederlandse kust per maand \tabularnewline
Number of observations & 48 \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] aantal overnachtingen van belgen aan de Nederlandse kust[/C][/ROW]
[ROW][C]Source[/C][C]logiesaccomodaties Belgen aan de Nederlandse kust [/C][/ROW]
[ROW][C]Description[/C][C]Het aantal overnachtingen van belgen aan de nederlandse kust per maand[/C][/ROW]
[ROW][C]Number of observations[/C][C]48[/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:  

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

Univariate Dataseries
Name of dataseries aantal overnachtingen van belgen aan de Nederlandse kust
Sourcelogiesaccomodaties Belgen aan de Nederlandse kust
DescriptionHet aantal overnachtingen van belgen aan de nederlandse kust per maand
Number of observations48







Summary Statistics of dataseries x
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  10.00   18.00   24.50   24.81   31.00   41.00 

\begin{tabular}{lllllllll}
\hline
Summary Statistics of dataseries x \tabularnewline
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  10.00   18.00   24.50   24.81   31.00   41.00 
\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. 
  10.00   18.00   24.50   24.81   31.00   41.00 
[/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:  

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. 
  10.00   18.00   24.50   24.81   31.00   41.00 



Parameters (Session):
par1 = aantal overnachtingen van belgen aan de Nederlandse kust ; par2 = logiesaccomodaties Belgen aan de Nederlandse kust ; par3 = Het aantal overnachtingen van belgen aan de nederlandse kust per maand ; par4 = 12 ;
Parameters (R input):
par1 = aantal overnachtingen van belgen aan de Nederlandse kust ; par2 = logiesaccomodaties Belgen aan de Nederlandse kust ; par3 = Het aantal overnachtingen van belgen aan de nederlandse kust per maand ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'Het aantal overnachtingen van belgen aan de nederlandse kust per maand'
par2 <- 'logiesaccomodaties Belgen aan de Nederlandse kust '
par1 <- ' aantal overnachtingen van belgen aan de Nederlandse kust'
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')