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Author's title

Author

*Unverified author*

R Software Module

rwasp_bidataseries.wasp

Title produced by software

Bivariate Data Series

Date of computation

Mon, 12 Dec 2022 05:43:19 +0100

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2022/Dec/12/t16708218078hvyjdc5w8pelvl.htm/, Retrieved Tue, 21 May 2024 01:39:13 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 21 May 2024 01:39:13 +0200

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Original text written by user:

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User-defined keywords

covid

Estimated Impact

Dataseries X:

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Histogram

Boxplots

Dataseries Y:

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Histogram

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	Big 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=&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=&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 Output	view raw output of R engine
Computing time	0 seconds
R Server	Big Analytics Cloud Computing Center

Bivariate Dataseries
Name of dataseries x	Number of cases
Source of x	Number of cases
Description of x	Number of cases
Name of dataseries y	Number of deaths
Source of y	Number of deaths
Description of y	Number of deaths
Number of observations	30

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Number of cases \tabularnewline
Source of x & Number of cases \tabularnewline
Description of x & Number of cases \tabularnewline
Name of dataseries y & Number of deaths \tabularnewline
Source of y & Number of deaths \tabularnewline
Description of y & Number of deaths \tabularnewline
Number of observations & 30 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Number of cases[/C][/ROW]
[ROW][C]Source of x[/C][C]Number of cases[/C][/ROW]
[ROW][C]Description of x[/C][C]Number of cases[/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]Number of deaths[/C][/ROW]
[ROW][C]Source of y[/C][C]Number of deaths[/C][/ROW]
[ROW][C]Description of y[/C][C]Number of deaths[/C][/ROW]
[ROW][C]Number of observations[/C][C]30[/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:

Bivariate Dataseries
Name of dataseries x	Number of cases
Source of x	Number of cases
Description of x	Number of cases
Name of dataseries y	Number of deaths
Source of y	Number of deaths
Description of y	Number of deaths
Number of observations	30

Summary Statistics of dataseries x
> summary(x) Min. 1st Qu. Median Mean 3rd Qu. Max. 1396 4765 8676 12893 13766 60797
Summary Statistics of dataseries y
> summary(y) Min. 1st Qu. Median Mean 3rd Qu. Max. 9.00 31.00 44.50 43.10 56.25 102.00

\begin{tabular}{lllllllll}
\hline
Summary Statistics of dataseries x \tabularnewline
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   1396    4765    8676   12893   13766   60797 
 \tabularnewline
Summary Statistics of dataseries y \tabularnewline
> summary(y)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   9.00   31.00   44.50   43.10   56.25  102.00 
 \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. 
   1396    4765    8676   12893   13766   60797 
[/C][/ROW]
[ROW][C]Summary Statistics of dataseries y[/C][/ROW]
[ROW][C]> summary(y)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   9.00   31.00   44.50   43.10   56.25  102.00 
[/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. 1396 4765 8676 12893 13766 60797
Summary Statistics of dataseries y
> summary(y) Min. 1st Qu. Median Mean 3rd Qu. Max. 9.00 31.00 44.50 43.10 56.25 102.00

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = Number of cases ; par2 = Number of cases ; par3 = Number of cases ; par4 = Number of deaths ; par5 = Number of deaths ; par6 = Number of deaths ;

Parameters (R input):

par1 = Number of cases ; par2 = Number of cases ; par3 = Number of cases ; par4 = Number of deaths ; par5 = Number of deaths ; par6 = Number of deaths ;

R code (references can be found in the software module):

par6 <- 'Number of deaths'
par5 <- 'Number of deaths'
par4 <- 'Number of deaths'
par3 <- 'Number of cases'
par2 <- 'Number of cases'
par1 <- 'Number of cases'
bitmap(file='test1.png')
op <- par(mfrow=c(2,2))
plot(x,type='b',main='Plot of x',xlab=xlab,ylab=ylab)
plot(y,type='b',main='Plot of y',xlab=xlab,ylab=ylab)
hist(x)
hist(y)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Bivariate Dataseries',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries x',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source of x',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description of x',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries y',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source of y',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description of y',header=TRUE)
a<-table.element(a,par6)
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.row.start(a)
a<-table.element(a,'Summary Statistics of dataseries y',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('',RC.texteval('summary(y)'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code