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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

Sun, 01 Nov 2009 08:14:26 -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/Nov/01/t1257088541oxgtgo70ztqi5pl.htm/, Retrieved Mon, 06 May 2024 20:54:05 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52337, Retrieved Mon, 06 May 2024 20:54:05 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

137

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

-       [Bivariate Explorative Data Analysis] [shwws5vr1] [2009-11-01 15:14:26] [d447d4b3e35da686436a520338c962fc] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

-1,527069335
-1,543374028
-1,749411209
-1,984362469
-2,096863792
-2,130831902
-2,327358012
-2,269097603
-1,977733587
-1,639143697
-1,58767691
-1,708495319
-1,531372217
-1,826647666
-1,405551161
-1,428649476
-1,0817425
-0,921304957
-0,997393524
-0,998808925
-1,061474988
-1,223600736
-2,082968233
-2,286179902
-2,785701556
-3,810231147
-4,554652675
-4,762918376
-5,315378896
-5,935502833
-6,172790676
-5,606202597
-5,879311494
-5,05044351
-4,325106092
-4,008199116
-3,888631368
-3,712640281
-2,205439336
-2,033535005
-1,427600595
-0,420569682
-0,260621067
-0,766015162
-0,208722028

Dataseries Y:

Download CSV

Histogram

-93,77360525
-93,73306097
-103,1358493
-114,0870047
-115,5549183
-117,6437844
-126,5568902
-127,2161645
-115,1845555
-109,2791818
-109,4382294
-116,8531948
-108,2587736
-115,8829226
-96,19798103
-95,46720997
-86,59478452
-80,67913876
-83,53659879
-89,11287955
-94,7181171
-106,1183654
-145,5773415
-155,5792227
-176,9022139
-215,8126868
-255,5621618
-264,1545419
-294,3010925
-326,5270535
-336,4087986
-312,4377123
-335,55025
-315,6649002
-292,2127707
-282,1103453
-275,2843366
-248,7445657
-192,5572009
-187,7306027
-166,0571578
-125,4087714
-119,8134431
-148,9118987
-127,2784992

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52337&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]2 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=52337&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52337&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	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Model: Y[t] = c + b X[t] + e[t]
c	-51.8537042191522
b	46.8034061281138

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -51.8537042191522 \tabularnewline
b & 46.8034061281138 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52337&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-51.8537042191522[/C][/ROW]
[ROW][C]b[/C][C]46.8034061281138[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52337&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52337&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	-51.8537042191522
b	46.8034061281138

Descriptive Statistics about e[t]
# observations	45
minimum	-65.6558931364802
Q1	-23.1266506016103
median	9.46480133967698
mean	-5.96282282809095e-16
Q3	21.4403050112771
maximum	34.4391535714649

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 45 \tabularnewline
minimum & -65.6558931364802 \tabularnewline
Q1 & -23.1266506016103 \tabularnewline
median & 9.46480133967698 \tabularnewline
mean & -5.96282282809095e-16 \tabularnewline
Q3 & 21.4403050112771 \tabularnewline
maximum & 34.4391535714649 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52337&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]45[/C][/ROW]
[ROW][C]minimum[/C][C]-65.6558931364802[/C][/ROW]
[ROW][C]Q1[/C][C]-23.1266506016103[/C][/ROW]
[ROW][C]median[/C][C]9.46480133967698[/C][/ROW]
[ROW][C]mean[/C][C]-5.96282282809095e-16[/C][/ROW]
[ROW][C]Q3[/C][C]21.4403050112771[/C][/ROW]
[ROW][C]maximum[/C][C]34.4391535714649[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52337&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52337&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	45
minimum	-65.6558931364802
Q1	-23.1266506016103
median	9.46480133967698
mean	-5.96282282809095e-16
Q3	21.4403050112771
maximum	34.4391535714649

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 = 5 ;

Parameters (R input):

par1 = 0 ; par2 = 5 ;

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