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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

Wed, 04 Nov 2009 04:28:44 -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/04/t1257334205zodk72tke136zor.htm/, Retrieved Mon, 29 Apr 2024 15:10:43 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53564, Retrieved Mon, 29 Apr 2024 15:10:43 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

113

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

-       [Bivariate Explorative Data Analysis] [eda] [2009-11-04 11:28:44] [99bf2a1e962091d45abf4c2600a412f9] [Current]

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Dataseries X:

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Histogram

Boxplots

162,3990575
-740,4671903
620,335323
-658,1934026
-569,2571371
967,9403496
-829,8810134
-1046,154801
-673,4223055
-171,1548011
-755,8810134
-447,0147656
-599,4797568
-307,2122523
498,4565088
242,9277831
1087,730296
918,462792
-673,4923232
100,437659
349,5714113
-53,28855329
-264,0147656
970,71773
982,2527388
300,6539955
1393,991518
214,7940309
682,9277831
891,9277831
-214,358571
-121,1610843
177,641429
565,9214999
-518,1359514
-10,93218141
87,53280973
-391,8621637
558,411624
-333,7858627
-370,7795795
648,8254471
-329,664677
-83,00219913
-779,9258982
984,0803851
-241,6458272
-671,1808361
-116,5820928
343,6216772
-26,37203958
143,0292171
-254,1619864
405,6342437
-631,0533671
-770,8558804
-108,715845
-454,1108184
-363,5758095
280,5516595

Dataseries Y:

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Histogram

4.737
7.302
18.190
9.585
-5.215
-325
-8.722
-8.968
-4.865
256
-6.501
-15.030
11.003
4.997
11.527
6.707
-585
7.413
-5.329
-4.067
-1.880
-1.751
-4.443
-18.995
18.270
14.437
24.234
9.792
9.288
4.784
-2.451
-4.430
-2.962
992
-7.543
-21.907
13.324
5.484
14.637
2.544
732
2.812
-3.216
-8.338
-7.438
876
-10.242
-22.632
11.009
9.413
9.499
13.906
-1.119
1.829
-5.765
-11.716
-8.062
-3.843
-16.849
-24.390

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=53564&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=53564&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53564&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	32.4008999999949
b	0.0153206824373360

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 32.4008999999949 \tabularnewline
b & 0.0153206824373360 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53564&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]32.4008999999949[/C][/ROW]
[ROW][C]b[/C][C]0.0153206824373360[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53564&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53564&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	32.4008999999949
b	0.0153206824373360

Descriptive Statistics about e[t]
# observations	60
minimum	-634.06567044248
Q1	-38.2626907067747
median	-29.3511658900029
mean	3.38166994406919e-15
Q3	-24.486019718707
maximum	950.928796415576

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -634.06567044248 \tabularnewline
Q1 & -38.2626907067747 \tabularnewline
median & -29.3511658900029 \tabularnewline
mean & 3.38166994406919e-15 \tabularnewline
Q3 & -24.486019718707 \tabularnewline
maximum & 950.928796415576 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53564&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]-634.06567044248[/C][/ROW]
[ROW][C]Q1[/C][C]-38.2626907067747[/C][/ROW]
[ROW][C]median[/C][C]-29.3511658900029[/C][/ROW]
[ROW][C]mean[/C][C]3.38166994406919e-15[/C][/ROW]
[ROW][C]Q3[/C][C]-24.486019718707[/C][/ROW]
[ROW][C]maximum[/C][C]950.928796415576[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53564&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53564&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	-634.06567044248
Q1	-38.2626907067747
median	-29.3511658900029
mean	3.38166994406919e-15
Q3	-24.486019718707
maximum	950.928796415576

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