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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

Mon, 26 Oct 2009 15:23:44 -0600

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/Oct/26/t1256592383aovai089tcpns5b.htm/, Retrieved Thu, 02 May 2024 15:07:54 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50767, Retrieved Thu, 02 May 2024 15:07:54 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

176

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

-       [Bivariate Explorative Data Analysis] [WS 4 module 2] [2009-10-26 21:23:44] [51118f1042b56b16d340924f16263174] [Current]
-    D    [Bivariate Explorative Data Analysis] [ws4 part 2 model 2] [2009-10-27 21:06:05] [830e13ac5e5ac1e5b21c6af0c149b21d] 
- RMPD    [Trivariate Scatterplots] [] [2009-10-30 20:24:21] [023d83ebdf42a2acf423907b4076e8a1] 
- RMPD    [Partial Correlation] [WS 5 ] [2009-10-30 20:36:39] [023d83ebdf42a2acf423907b4076e8a1] 
- RMPD      [Trivariate Scatterplots] [WS 4 ] [2009-11-01 18:57:16] [830e13ac5e5ac1e5b21c6af0c149b21d] 
- RMPD      [Trivariate Scatterplots] [WS 5 triv] [2009-11-01 19:01:36] [830e13ac5e5ac1e5b21c6af0c149b21d] 
- RMP         [Partial Correlation] [SHWWS5review4] [2009-11-06 10:24:33] [a66d3a79ef9e5308cd94a469bc5ca464] 
-  M D      [Partial Correlation] [WS 5 partial com] [2009-11-01 20:17:25] [830e13ac5e5ac1e5b21c6af0c149b21d] 
-    D        [Partial Correlation] [partial correlation] [2009-12-11 16:43:18] [830e13ac5e5ac1e5b21c6af0c149b21d] 
-    D        [Partial Correlation] [partial correlation] [2009-12-11 16:43:18] [023d83ebdf42a2acf423907b4076e8a1] 
- RMPD      [Bivariate Explorative Data Analysis] [WS 5 Y-Z] [2009-11-01 20:26:55] [830e13ac5e5ac1e5b21c6af0c149b21d] 
- RMPD      [Bivariate Explorative Data Analysis] [WS 5 X - Z] [2009-11-01 20:28:22] [830e13ac5e5ac1e5b21c6af0c149b21d] 
- RMPD      [Bivariate Explorative Data Analysis] [WS 5 Residus biva] [2009-11-01 20:49:44] [830e13ac5e5ac1e5b21c6af0c149b21d] 
- RMP         [Pearson Correlation] [SHWWS5Review4] [2009-11-06 10:37:05] [a66d3a79ef9e5308cd94a469bc5ca464] 
- RM D      [Kendall tau Rank Correlation] [WS 5 NM scat] [2009-11-01 21:11:15] [830e13ac5e5ac1e5b21c6af0c149b21d] 

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Dataseries X:

Download CSV

Histogram

Boxplots

-0,200324644
-0,222342622
-0,261671305
-0,293266972
-0,271476757
-0,263440944
-0,27770798
-0,25758361
-0,238544032
-0,195978388
-0,18539989
-0,206363871
-0,203430389
-0,183570737
-0,164327623
-0,170248728
-0,19086878
-0,177141795
-0,183986542
-0,204653059
-0,244514032
-0,235071912
-0,237756046
-0,247719327
-0,241140784
-0,231983761
-0,253168575
-0,278616621
-0,262287267
-0,268040242
-0,280808417
-0,301288893
-0,300918624
-0,294086537
-0,3159773
-0,309100484
-0,329015309
-0,352556294
-0,384173883
-0,376379233
-0,38648635
-0,388522449
-0,439995996
-0,454319274
-0,441926312
-0,441668099
-0,455524953
-0,403796501
-0,362557929
-0,286831767
-0,241532853
-0,296319266
-0,280582004
-0,245687006
-0,266202421
-0,276874024
-0,311154064
-0,337614889
-0,342738227
-0,355434285

Dataseries Y:

Download CSV

Histogram

6,981656087
6,943025893
6,944087208
7,050989447
7,120606041
6,904349486
7,121413991
7,050469381
7,145274996
7,052721049
7,042723139
7,117124397
6,961485601
7,011844988
6,984531118
7,026693203
7,087406607
7,030326831
7,076315921
7,090826555
7,26304927
6,985086622
7,18946958
7,114769448
7,026337995
7,068597804
7,049168032
7,271912163
7,20362871
7,184704965
7,136960422
7,130178571
7,242153939
7,206377291
7,344848245
7,228098134
7,246296802
7,062705639
7,239143184
7,344072851
7,258412151
7,143933509
7,155240162
7,028733206
7,278973948
7,320990124
7,344912834
7,409741954
7,408833551
7,22314979
7,41052857
7,29593858
7,257566723
7,348651879
7,053239946
7,109389147
7,198557479
7,002064958
6,944665633
7,092158002

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=50767&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=50767&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50767&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	6.90796065514923
b	-0.823334349352145

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 6.90796065514923 \tabularnewline
b & -0.823334349352145 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50767&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]6.90796065514923[/C][/ROW]
[ROW][C]b[/C][C]-0.823334349352145[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50767&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50767&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	6.90796065514923
b	-0.823334349352145

Descriptive Statistics about e[t]
# observations	60
minimum	-0.253284113006161
Q1	-0.0754612673409601
median	0.000326756740368454
mean	2.4822582863603e-18
Q3	0.0660949601012348
maximum	0.303705620478845

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -0.253284113006161 \tabularnewline
Q1 & -0.0754612673409601 \tabularnewline
median & 0.000326756740368454 \tabularnewline
mean & 2.4822582863603e-18 \tabularnewline
Q3 & 0.0660949601012348 \tabularnewline
maximum & 0.303705620478845 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50767&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]-0.253284113006161[/C][/ROW]
[ROW][C]Q1[/C][C]-0.0754612673409601[/C][/ROW]
[ROW][C]median[/C][C]0.000326756740368454[/C][/ROW]
[ROW][C]mean[/C][C]2.4822582863603e-18[/C][/ROW]
[ROW][C]Q3[/C][C]0.0660949601012348[/C][/ROW]
[ROW][C]maximum[/C][C]0.303705620478845[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50767&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50767&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	-0.253284113006161
Q1	-0.0754612673409601
median	0.000326756740368454
mean	2.4822582863603e-18
Q3	0.0660949601012348
maximum	0.303705620478845

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