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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 04:07:38 -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/t1257332892awpyxbr0at3bcka.htm/, Retrieved Mon, 29 Apr 2024 11:32:09 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53552, Retrieved Mon, 29 Apr 2024 11:32:09 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

156

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

-     [Trivariate Scatterplots] [Ws5] [2009-11-03 18:30:01] [ba905ddf7cdf9ecb063c35348c4dab2e]
- RMPD  [Partial Correlation] [WS5] [2009-11-03 18:33:47] [ba905ddf7cdf9ecb063c35348c4dab2e]
- RMPD    [Bivariate Explorative Data Analysis] [Bouwvergunningen ...] [2009-11-03 18:39:43] [ba905ddf7cdf9ecb063c35348c4dab2e]
-    D      [Bivariate Explorative Data Analysis] [werkloosheid mann...] [2009-11-04 10:37:31] [ba905ddf7cdf9ecb063c35348c4dab2e]
-    D          [Bivariate Explorative Data Analysis] [et en et' ] [2009-11-04 11:07:38] [244731fa3e7e6c85774b8c0902c58f85] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

1,655
0,3865
0,4795
0,272
0,675
0,563
0,3575
0,0295
-0,2805
-0,16
1,126
1,037
0,7825
0,1565
0,0885
-0,163
-0,6965
0,467
0,253
0,8025
0,3095
0,3495
0,393
0,4175
0,1375
0,01
0,5545
0,4635
0,5255
0,6455
0,4
0,374
0,2165
-0,8805
-0,7445
-0,5665
-0,5405
-0,9515
-0,316
-0,228
-0,606
-0,8315
-0,9275
-1,417
-1,2295
-1,616
-0,521
-0,256
-0,9795
-0,7295
-0,4265
-0,35
0,311
0,203
-0,3045
-0,5585
-0,9585
-1,5165

Dataseries Y:

Download CSV

Histogram

-478,349
-478,7143
-478,4909
-478,4344
-478,233
-478,2786
-478,4745
-478,7409
-478,8389
-479,176
-478,6092
-478,6974
-478,7695
-478,8283
-478,7667
-478,6774
-478,7197
-478,0234
-477,9766
-477,6735
-478,0569
-478,3449
-478,8246
-479,1665
-479,2505
-479,21
-478,7559
-478,7917
-478,6561
-478,6001
-478,768
-478,6868
-478,7203
-479,3989
-479,1421
-479,1657
-479,3069
-479,6387
-479,3888
-479,0944
-478,9708
-478,9827
-479,1875
-479,5226
-479,4951
-479,6688
-478,8378
-478,7608
-479,3051
-479,5951
-479,5537
-479,258
-478,3362
-477,9866
-477,8301
-477,9153
-478,1153
-478,3757

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	'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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53552&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53552&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53552&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	'George Udny Yule' @ 72.249.76.132

Model: Y[t] = c + b X[t] + e[t]
c	-478.750531478694
b	0.37236305881633

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -478.750531478694 \tabularnewline
b & 0.37236305881633 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53552&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-478.750531478694[/C][/ROW]
[ROW][C]b[/C][C]0.37236305881633[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53552&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53552&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	-478.750531478694
b	0.37236305881633

Descriptive Statistics about e[t]
# observations	58
minimum	-0.6443556767206
Q1	-0.284548436751543
median	-0.0964235464836811
mean	6.75757043712948e-18
Q3	0.196864466314005
maximum	1.04319624704315

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 58 \tabularnewline
minimum & -0.6443556767206 \tabularnewline
Q1 & -0.284548436751543 \tabularnewline
median & -0.0964235464836811 \tabularnewline
mean & 6.75757043712948e-18 \tabularnewline
Q3 & 0.196864466314005 \tabularnewline
maximum & 1.04319624704315 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53552&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]58[/C][/ROW]
[ROW][C]minimum[/C][C]-0.6443556767206[/C][/ROW]
[ROW][C]Q1[/C][C]-0.284548436751543[/C][/ROW]
[ROW][C]median[/C][C]-0.0964235464836811[/C][/ROW]
[ROW][C]mean[/C][C]6.75757043712948e-18[/C][/ROW]
[ROW][C]Q3[/C][C]0.196864466314005[/C][/ROW]
[ROW][C]maximum[/C][C]1.04319624704315[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53552&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53552&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	58
minimum	-0.6443556767206
Q1	-0.284548436751543
median	-0.0964235464836811
mean	6.75757043712948e-18
Q3	0.196864466314005
maximum	1.04319624704315

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