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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, 27 Oct 2009 13:47:30 -0600
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/Oct/27/t1256672924mked1zh140gppyo.htm/, Retrieved Tue, 07 May 2024 05:39:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51188, Retrieved Tue, 07 May 2024 05:39:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Gemiddelde renden...] [2008-10-13 19:42:56] [86c69698417c3ad89592e76776a2c65b]
-   PD  [Univariate Data Series] [Werkloosheid vana...] [2009-10-11 19:32:57] [5c968c05ca472afa314d272082b56b09]
-   P     [Univariate Data Series] [WS3, part 2] [2009-10-18 13:50:42] [5c968c05ca472afa314d272082b56b09]
- RMPD        [Bivariate Explorative Data Analysis] [WS4, Part 2.2 Y[...] [2009-10-27 19:47:30] [b8ce264f75295a954feffaf60221d1b0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5.894402834
5.897153868
5.894402834
5.880532986
5.877735782
5.877735782
5.940171253
5.934894196
5.929589143
5.940171253
5.937536205
5.950642553
5.97126184
5.976350909
5.97126184
5.981414211
5.97126184
5.981414211
6.03787092
6.042632834
6.040254711
6.035481433
6.01615716
6.035481433
6.054439346
6.059123196
6.063785209
6.049733455
6.047372179
6.056784013
6.089044875
6.107022888
6.11368218
6.135564891
6.120297419
6.133398043
6.133398043
6.137727054
6.135564891
6.12249281
6.120297419
6.12249281
6.156978986
6.156978986
6.154858094
6.142037406
6.12905021
6.142037406
6.148468296
6.146329258
6.137727054
6.131226489
6.135564891
6.133398043
6.165417854
6.165417854
6.154858094
6.115892125
6.09356977
6.091309882
6.095824562
6.08221891
6.056784013
6.049733455
6.03068526
6.00635316
6.06610809
6.073044534
6.035481433
6.021023349
6.001414878
6.013715156
Dataseries Y:
Download CSV
Histogram 
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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=51188&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=51188&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51188&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Model: Y[t] = c + b X[t] + e[t]
c-2446.48492816380
b495.645638200297

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -2446.48492816380 \tabularnewline
b & 495.645638200297 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51188&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-2446.48492816380[/C][/ROW]
[ROW][C]b[/C][C]495.645638200297[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51188&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51188&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-2446.48492816380
b495.645638200297






Descriptive Statistics about e[t]
# observations72
minimum-31.5979163140229
Q1-12.2421303882939
median-2.74108886845653
mean1.21618571694941e-15
Q312.9809744286138
maximum31.480320745802

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 72 \tabularnewline
minimum & -31.5979163140229 \tabularnewline
Q1 & -12.2421303882939 \tabularnewline
median & -2.74108886845653 \tabularnewline
mean & 1.21618571694941e-15 \tabularnewline
Q3 & 12.9809744286138 \tabularnewline
maximum & 31.480320745802 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51188&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]72[/C][/ROW]
[ROW][C]minimum[/C][C]-31.5979163140229[/C][/ROW]
[ROW][C]Q1[/C][C]-12.2421303882939[/C][/ROW]
[ROW][C]median[/C][C]-2.74108886845653[/C][/ROW]
[ROW][C]mean[/C][C]1.21618571694941e-15[/C][/ROW]
[ROW][C]Q3[/C][C]12.9809744286138[/C][/ROW]
[ROW][C]maximum[/C][C]31.480320745802[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51188&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51188&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]
# observations72
minimum-31.5979163140229
Q1-12.2421303882939
median-2.74108886845653
mean1.21618571694941e-15
Q312.9809744286138
maximum31.480320745802


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ;
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')