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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_edabi.wasp
Title produced by softwareBivariate Explorative Data Analysis
Date of computationTue, 03 Nov 2009 10:19:04 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/03/t12572687911pyubz0ac9jeu4f.htm/, Retrieved Wed, 01 May 2024 20:34:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53258, Retrieved Wed, 01 May 2024 20:34:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact178

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Bivariate Explorative Data Analysis] [WS5] [2009-11-03 17:19:04] [612b7913d2a3b4fa79d126829bd148db] [Current]
-    D    [Bivariate Explorative Data Analysis] [reeks X t.o.v Z] [2009-11-04 17:42:17] [cd6314e7e707a6546bd4604c9d1f2b69]
-    D      [Bivariate Explorative Data Analysis] [reeks Y t.o.v. Z] [2009-11-04 17:45:28] [cd6314e7e707a6546bd4604c9d1f2b69]
-    D        [Bivariate Explorative Data Analysis] [e(t) t.o.v. e'(t)] [2009-11-04 17:48:40] [cd6314e7e707a6546bd4604c9d1f2b69]
- RMPD          [Pearson Correlation] [correlatie e(t) e...] [2009-11-04 17:50:43] [cd6314e7e707a6546bd4604c9d1f2b69]
-   PD          [Bivariate Explorative Data Analysis] [e(t) t.o.v. e'(t)] [2009-11-04 18:01:26] [cd6314e7e707a6546bd4604c9d1f2b69]
Feedback Forum
2009-11-04 18:13:00 [Joris Van Mol] [reply] 
Ik heb een aantal verbeteringen gedaan aan de WS en heb ze hieronder geblogd:

X – Z

http://www.freestatistics.org/blog/index.php?v=date/2009/Nov/04/t1257356673sd7v3rs25fitwfz.htm/

Y-Z

http://www.freestatistics.org/blog/index.php?v=date/2009/Nov/04/t12573567847saojni8poiddi2.htm/

e(t) – e’(t)

http://www.freestatistics.org/blog/index.php?v=date/2009/Nov/04/t1257357814eb6mtjna6mq8r5g.htm/
  2009-11-09 20:59:09 [f090ce6c9b3c4510b1a06dc6cb3a434f] [reply] 
Ik heb de verbeterde links bekeken en heb nog een vraag hieromtrent. Zoals ik het begrijp moet je enerzijds de waarden van de reeksen X en Z invullen, en anderzijds Y en Z invullen om de reeksen te zuiveren.

Z heeft u telkens als de X waarde in de bivariate EDA ingevuld. Maar deze waarde stemt niet overeen met de oorspronkelijke waarden van de reeksen.
De eerste waarde van de reeks in de bivariate EDA is 25.5 terwijl in de oorspronkelijke reeks dit 23.2 is.

Is dit een fout of zie ik iets over het hoofd?

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
25.5
25.6
23.7
22
21.3
20.7
20.4
20.3
20.4
19.8
19.5
23.1
23.5
23.5
22.9
21.9
21.5
20.5
20.2
19.4
19.2
18.8
18.8
22.6
23.3
23
21.4
19.9
18.8
18.6
18.4
18.6
19.9
19.2
18.4
21.1
20.5
19.1
18.1
17
17.1
17.4
16.8
15.3
14.3
13.4
15.3
22.1
23.7
22.2
19.5
16.6
17.3
19.8
21.2
21.5
20.6
19.1
19.6
23.5
24
Dataseries Y:
Download CSV
Histogram 
-10,464
-10,464
-9,178
-9,678
-9,578
-8,476
-8,376
-8,476
-9,432
-9,532
-9,732
-9,442
-9,342
-9,342
-10,608
-10,708
-10,608
-8,85
-8,85
-8,95
-7,328
-7,528
-7,828
-6,972
-7,072
-7,072
-7,91
-8,01
-8,01
-6,926
-6,926
-7,026
-6,024
-6,324
-6,824
-8,41
-8,61
-8,91
-7,106
-7,106
-6,906
-7,216
-7,416
-7,716
-6,476
-6,776
-6,376
-10,588
-10,388
-10,788
-7,042
-7,342
-7,042
-9,112
-8,812
-8,812
-8,538
-8,938
-8,838
-8,138
-7,938

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 5 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53258&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53258&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53258&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Model: Y[t] = c + b X[t] + e[t]
c-1.98708901924239
b-0.31526250899993

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -1.98708901924239 \tabularnewline
b & -0.31526250899993 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53258&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-1.98708901924239[/C][/ROW]
[ROW][C]b[/C][C]-0.31526250899993[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53258&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53258&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Model: Y[t] = c + b X[t] + e[t]
c-1.98708901924239
b-0.31526250899993






Descriptive Statistics about e[t]
# observations61
minimum-1.84276703725911
Q1-0.755135782759145
median-0.0467670372591083
mean1.39631020771248e-17
Q30.472077923141199
maximum2.26070547894077

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 61 \tabularnewline
minimum & -1.84276703725911 \tabularnewline
Q1 & -0.755135782759145 \tabularnewline
median & -0.0467670372591083 \tabularnewline
mean & 1.39631020771248e-17 \tabularnewline
Q3 & 0.472077923141199 \tabularnewline
maximum & 2.26070547894077 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53258&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]-1.84276703725911[/C][/ROW]
[ROW][C]Q1[/C][C]-0.755135782759145[/C][/ROW]
[ROW][C]median[/C][C]-0.0467670372591083[/C][/ROW]
[ROW][C]mean[/C][C]1.39631020771248e-17[/C][/ROW]
[ROW][C]Q3[/C][C]0.472077923141199[/C][/ROW]
[ROW][C]maximum[/C][C]2.26070547894077[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53258&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53258&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Descriptive Statistics about e[t]
# observations61
minimum-1.84276703725911
Q1-0.755135782759145
median-0.0467670372591083
mean1.39631020771248e-17
Q30.472077923141199
maximum2.26070547894077


Figures (Output of Computation)

Input Parameters & R Code

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')