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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_bidataseries.wasp
Title produced by softwareBivariate Data Series
Date of computationFri, 26 Nov 2010 22:05:05 +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/2010/Nov/26/t1290809037gutj0r85z8r18i2.htm/, Retrieved Fri, 03 May 2024 19:59:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=102258, Retrieved Fri, 03 May 2024 19:59:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
-  MPD    [Bivariate Data Series] [] [2010-11-26 22:05:05] [0956ee981dded61b2e7128dae94e5715] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2584.25
2679.07
2589.73
2457.46
2517.3
2386.53
2453.37
2529.66
2475.14
2525.93
2480.93
2229.85
2169.14
2030.98
2071.37
1953.35
1748.74
1696.58
1900.09
1908.64
1881.46
2100.18
2672.2
3136
2994.38
3168.22
3751.41
3925.43
3719.52
3757.12
3722.23
4127.47
4162.5
4441.82
4325.29
4350.83
4384.47
4639.4
4697.86
4614.76
4471.65
4305.23
4433.57
4388.53
4140.3
4144.38
4070.78
3906.01
3795.91
3703.32
3675.8
3911.06
3912.28
3839.25
3744.63
3549.25
3394.14
3264.26
3328.8
3223.98
3228.01
3112.83
3051.67
3039.71
3125.67
3106.54
Dataseries Y:
Download CSV
Histogram 
1198.35
1183.26
1141.2
1049.33
1101.6
1030.71
1089.41
1186.69
1169.43
1104.49
1073.87
1115.1
1095.63
1036.19
1057.08
1020.62
987.48
919.32
919.14
872.81
797.87
735.09
825.88
903.25
896.24
968.75
1166.36
1282.83
1267.38
1280
1400.38
1385.59
1322.7
1330.63
1378.55
1468.36
1481.14
1549.38
1526.75
1473.99
1455.27
1503.35
1530.62
1482.37
1420.86
1406.82
1438.24
1418.3
1400.63
1377.94
1335.85
1303.82
1276.66
1270.2
1270.09
1310.61
1294.87
1280.66
1280.08
1248.29
1249.48
1207.01
1228.81
1220.33
1234.18
1191.33
1191.5
1156.85
1180.59
1203.6
1181.27

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102258&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102258&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102258&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'George Udny Yule' @ 72.249.76.132






Bivariate Dataseries
Name of dataseries xBel 20 monthly close
Source of x
Description of x
Name of dataseries yS&P 500 monthly close
Source of y
Description of y
Number of observations66

\begin{tabular}{lllllllll}
\hline
Bivariate Dataseries \tabularnewline
Name of dataseries x & Bel 20 monthly close \tabularnewline
Source of x &  \tabularnewline
Description of x &  \tabularnewline
Name of dataseries y & S&P 500 monthly close \tabularnewline
Source of y &  \tabularnewline
Description of y &  \tabularnewline
Number of observations & 66 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102258&T=1

[TABLE]
[ROW][C]Bivariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries x[/C][C]Bel 20 monthly close[/C][/ROW]
[ROW][C]Source of x[/C][C][/C][/ROW]
[ROW][C]Description of x[/C][C][/C][/ROW]
[ROW][C]Name of dataseries y[/C][C]S&P 500 monthly close[/C][/ROW]
[ROW][C]Source of y[/C][C][/C][/ROW]
[ROW][C]Description of y[/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]66[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102258&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102258&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:

Bivariate Dataseries
Name of dataseries xBel 20 monthly close
Source of x
Description of x
Name of dataseries yS&P 500 monthly close
Source of y
Description of y
Number of observations66


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Bel 20 monthly close ; par4 = S&P 500 monthly close ;
Parameters (R input):
par1 = Bel 20 monthly close ; par2 = ; par3 = ; par4 = S&P 500 monthly close ; par5 = ; par6 = ;
R code (references can be found in the software module):
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')