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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

Tue, 22 Dec 2009 08:01:31 -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/22/t1261494187ovze9dmqrxakpn2.htm/, Retrieved Sat, 04 May 2024 11:55:54 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70454, Retrieved Sat, 04 May 2024 11:55:54 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

160

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Bivariate Explorative Data Analysis] [Workshop 5: Bivar...] [2009-12-22 15:01:31] [fd0d141bb5380cffe1d2cd25afb62297] [Current]

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Dataseries X:

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Histogram

Boxplots

-7.2267351
-6.290090218
-5.490850323
-5.390850323
-5.503065284
-5.440470271
-5.403065284
-5.253445336
-4.978635363
-5.21604035
-6.427495205
-6.602305179
-6.564900192
-5.840470271
-5.390850323
-5.32825531
-5.265660297
-5.065660297
-4.790850323
-4.51604035
-4.71604035
-5.01604035
-6.415280244
-6.890090218
-6.615280244
-5.92825531
-5.41604035
-5.21604035
-5.253445336
-5.253445336
-5.353445336
-5.490850323
-5.241230376
-4.954205442
-5.091610428
-4.879395468
-4.52977552
-4.604585494
-4.604585494
-4.541990481
-4.204585494
-3.892370533
-3.505345599
-3.293130639
-3.180915678
-3.530535625
-4.716800455
-5.303825389
-5.054205442
-4.904585494
-4.454965547
-4.467180507
-4.554205442
-4.391610428
-4.116800455
-3.72977552
-3.342750586
-3.480155573
-4.279395468
-4.629015415

Dataseries Y:

Download CSV

Histogram

19.41535803
17.7617828
16.28082704
15.58082704
14.89868545
14.57130492
14.49868545
14.70820757
14.16296863
13.8355881
17.13440227
17.47964121
17.50702174
17.07130492
16.18082704
15.75344651
14.72606598
14.42606598
13.68082704
13.5355881
13.1355881
13.1355881
16.71654386
17.3617828
17.11654386
15.65344651
14.2355881
13.1355881
12.90820757
12.70820757
12.90820757
14.18082704
13.59034916
12.92725181
15.59987128
15.08201288
13.791535
12.73677394
11.63677394
11.70939341
12.03677394
11.51891553
10.15581818
9.237959766
8.420101357
10.21057924
16.65463234
18.11772969
16.72725181
14.13677394
11.34629606
11.96415447
14.32725181
15.69987128
16.05463234
15.291535
13.92843765
14.40105712
18.08201288
18.47249075

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70454&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]3 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=70454&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70454&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	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Model: Y[t] = c + b X[t] + e[t]
c	5.72999703570891
b	-1.74887816182516

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 5.72999703570891 \tabularnewline
b & -1.74887816182516 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70454&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]5.72999703570891[/C][/ROW]
[ROW][C]b[/C][C]-1.74887816182516[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70454&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70454&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	5.72999703570891
b	-1.74887816182516

Descriptive Statistics about e[t]
# observations	60
minimum	-2.87292964257038
Q1	-1.19047896693817
median	-0.222963026575442
mean	1.25969836413849e-16
Q3	0.952318327969482
maximum	4.86787456449233

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -2.87292964257038 \tabularnewline
Q1 & -1.19047896693817 \tabularnewline
median & -0.222963026575442 \tabularnewline
mean & 1.25969836413849e-16 \tabularnewline
Q3 & 0.952318327969482 \tabularnewline
maximum & 4.86787456449233 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70454&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]-2.87292964257038[/C][/ROW]
[ROW][C]Q1[/C][C]-1.19047896693817[/C][/ROW]
[ROW][C]median[/C][C]-0.222963026575442[/C][/ROW]
[ROW][C]mean[/C][C]1.25969836413849e-16[/C][/ROW]
[ROW][C]Q3[/C][C]0.952318327969482[/C][/ROW]
[ROW][C]maximum[/C][C]4.86787456449233[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70454&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70454&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	60
minimum	-2.87292964257038
Q1	-1.19047896693817
median	-0.222963026575442
mean	1.25969836413849e-16
Q3	0.952318327969482
maximum	4.86787456449233

Figure 1

PNG link

Postscript link

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Figure 2

PNG link

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Figure 3

PNG link

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Figure 4

PNG link

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PDF link

Figure 5

PNG link

Postscript link

PDF link

Figure 6

PNG link

Postscript link

PDF link

Figure 7

PNG link

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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')

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Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code