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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_edabi.wasp

Title produced by software

Bivariate Explorative Data Analysis

Date of computation

Thu, 17 Dec 2009 08:39:37 -0700

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/2009/Dec/17/t1261064431zuc7bhz6xa6t6za.htm/, Retrieved Tue, 30 Apr 2024 01:09:07 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68957, Retrieved Tue, 30 Apr 2024 01:09:07 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

215

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]
- RMPD  [Bivariate Explorative Data Analysis] [Bivariate EDA ana...] [2009-10-27 11:17:50] [4395c69e961f9a13a0559fd2f0a72538]
- RMPD    [Trivariate Scatterplots] [Trivariate Scatte...] [2009-10-29 14:00:50] [4395c69e961f9a13a0559fd2f0a72538]
- RMP       [Partial Correlation] [Partial Correlati...] [2009-10-29 14:05:54] [4395c69e961f9a13a0559fd2f0a72538]
- RMPD        [Bivariate Explorative Data Analysis] [Bivariate EDA Y[t] Z] [2009-10-29 14:14:40] [4395c69e961f9a13a0559fd2f0a72538]
-    D          [Bivariate Explorative Data Analysis] [Bivariate EDA Y[t...] [2009-10-29 15:03:23] [4395c69e961f9a13a0559fd2f0a72538]
-    D            [Bivariate Explorative Data Analysis] [Bivariate EDA X[t...] [2009-10-29 15:21:11] [4395c69e961f9a13a0559fd2f0a72538]
-    D              [Bivariate Explorative Data Analysis] [Bivariate EDA e[t...] [2009-10-29 15:36:56] [4395c69e961f9a13a0559fd2f0a72538]
-  M D                  [Bivariate Explorative Data Analysis] [Paper Bivariate E...] [2009-12-17 15:39:37] [d1081bd6cdf1fed9ed45c42dbd523bf1] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

-0,652
-0,818
-0,542
-0,58
-0,74
-0,448
-0,64
-0,754
-1,12
-1,292
-0,586
0,092
-0,246
-0,12
-0,42
-0,632
0,258
-0,022
-0,266
-0,324
0,1
0,786
0,554
0,304
0,508
0,874
0,892
1,026
0,276
0,238
0,498
0,082
-0,18
-1,026
-0,678
-0,586
-0,732
-1,116
-0,954
-1,376
-1,47
-1,118
-0,92
-0,822
-0,73
-0,746
-0,78
-1,202
-1,186
-1,136
-1,464
-0,99
-0,2
0,542
0,68
1,062
1,128
1,962
1,632
2,83
3,336
3,566
3,076
3,062
2,466
1,084
0,76
0,732
0,48
-0,74
-0,718
-1,712
-2,406

Dataseries Y:

Download CSV

Histogram

-0,294
0,394
0,486
0,47
0,49
0,494
0,67
0,982
0,87
0,356
-0,472
-0,776
-0,572
0,82
1,27
1,276
0,696
0,206
0,318
0,502
0,64
0,602
0,328
0,228
-0,024
0,708
0,824
0,852
0,632
0,486
0,566
0,714
0,71
0,558
0,484
0,238
-0,004
0,158
0,102
0,098
-0,03
-0,106
-0,09
0,036
0,03
-0,092
0,01
-0,264
-0,762
-0,472
-0,698
-0,97
-0,95
-0,936
-0,74
-0,636
-0,874
-1,146
-1,576
-1,83
-1,458
-0,218
-0,008
-0,436
-0,988
-1,222
-0,86
0,034
0,38
0,41
0,124
-0,284
-0,172

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68957&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68957&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68957&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	5 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Model: Y[t] = c + b X[t] + e[t]
c	0.00316964181150135
b	-0.199395222896054

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 0.00316964181150135 \tabularnewline
b & -0.199395222896054 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68957&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]0.00316964181150135[/C][/ROW]
[ROW][C]b[/C][C]-0.199395222896054[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68957&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68957&T=1

As an alternative you can also use a QR Code:

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

Model: Y[t] = c + b X[t] + e[t]
c	0.00316964181150135
b	-0.199395222896054

Descriptive Statistics about e[t]
# observations	73
minimum	-1.26888116101567
Q1	-0.592015242428589
median	0.0952117302067972
mean	-1.33802429752355e-17
Q3	0.489873723035826
maximum	1.18308436457216

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 73 \tabularnewline
minimum & -1.26888116101567 \tabularnewline
Q1 & -0.592015242428589 \tabularnewline
median & 0.0952117302067972 \tabularnewline
mean & -1.33802429752355e-17 \tabularnewline
Q3 & 0.489873723035826 \tabularnewline
maximum & 1.18308436457216 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68957&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]73[/C][/ROW]
[ROW][C]minimum[/C][C]-1.26888116101567[/C][/ROW]
[ROW][C]Q1[/C][C]-0.592015242428589[/C][/ROW]
[ROW][C]median[/C][C]0.0952117302067972[/C][/ROW]
[ROW][C]mean[/C][C]-1.33802429752355e-17[/C][/ROW]
[ROW][C]Q3[/C][C]0.489873723035826[/C][/ROW]
[ROW][C]maximum[/C][C]1.18308436457216[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68957&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68957&T=2

As an alternative you can also use a QR Code:

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

Descriptive Statistics about e[t]
# observations	73
minimum	-1.26888116101567
Q1	-0.592015242428589
median	0.0952117302067972
mean	-1.33802429752355e-17
Q3	0.489873723035826
maximum	1.18308436457216

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

Postscript link

PDF link

Figure 6

PNG link

Postscript link

PDF link

Figure 7

PNG link

Postscript link

PDF link

Figure 8

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 0 ; par2 = 36 ;

Parameters (R input):

par1 = 0 ; par2 = 36 ;

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

par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
x <- as.ts(x)
y <- as.ts(y)
mylm <- lm(y~x)
cbind(mylm$resid)
library(lattice)
bitmap(file='pic1.png')
plot(y,type='l',main='Run Sequence Plot of Y[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic1a.png')
plot(x,type='l',main='Run Sequence Plot of X[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic1b.png')
plot(x,y,main='Scatter Plot',xlab='X[t]',ylab='Y[t]')
grid()
dev.off()
bitmap(file='pic1c.png')
plot(mylm$resid,type='l',main='Run Sequence Plot of e[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic2.png')
hist(mylm$resid,main='Histogram of e[t]')
dev.off()
bitmap(file='pic3.png')
if (par1 > 0)
{
densityplot(~mylm$resid,col='black',main=paste('Density Plot of e[t]   bw = ',par1),bw=par1)
} else {
densityplot(~mylm$resid,col='black',main='Density Plot of e[t]')
}
dev.off()
bitmap(file='pic4.png')
qqnorm(mylm$resid,main='QQ plot of e[t]')
qqline(mylm$resid)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='pic5.png')
acf(mylm$resid,lag.max=par2,main='Residual Autocorrelation Function')
grid()
dev.off()
}
summary(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Model: Y[t] = c + b X[t] + e[t]',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'c',1,TRUE)
a<-table.element(a,mylm$coeff[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'b',1,TRUE)
a<-table.element(a,mylm$coeff[[2]])
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,'Descriptive Statistics about e[t]',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'# observations',header=TRUE)
a<-table.element(a,length(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'minimum',header=TRUE)
a<-table.element(a,min(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,quantile(mylm$resid,0.25))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
a<-table.element(a,median(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,mean(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,quantile(mylm$resid,0.75))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'maximum',header=TRUE)
a<-table.element(a,max(mylm$resid))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code