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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_edabi.wasp
Title produced by softwareBivariate Explorative Data Analysis
Date of computationWed, 28 Oct 2009 06:27:46 -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/28/t1256732954l5q4z03fihekyrp.htm/, Retrieved Mon, 06 May 2024 00:27:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51345, Retrieved Mon, 06 May 2024 00:27:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Trivariate Scatterplots] [trivariate analysis] [2008-11-13 08:14:40] [3b5d63cebdc58ed6c519cdb5b6a36d46]
- RMPD    [Bivariate Explorative Data Analysis] [(Y[t] - g - h Z[t...] [2009-10-28 12:27:46] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-    D      [Bivariate Explorative Data Analysis] [WS5 (Y[t] - g - h...] [2009-10-29 15:06:05] [42ad1186d39724f834063794eac7cea3]
-  M          [Bivariate Explorative Data Analysis] [BDM 4] [2009-11-03 11:56:09] [f5d341d4bbba73282fc6e80153a6d315]
-  M          [Bivariate Explorative Data Analysis] [TG4] [2009-11-03 12:03:41] [a21bac9c8d3d56fdec8be4e719e2c7ed]
-  M          [Bivariate Explorative Data Analysis] [P7] [2009-12-15 09:49:30] [f5d341d4bbba73282fc6e80153a6d315]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-3388.23981
-5872.093864
-14052.1039
-19203.67533
-24044.19734
-17742.28074
27744.2042
35762.75709
41087.62968
28606.60883
14902.64899
7759.622726
-3776.912419
-4660.673037
-12883.9742
-20576.76724
-22040.6962
-16004.18577
22072.46441
30238.48835
42118.537
25185.47985
13947.85282
3560.533899
-11669.24371
-13718.99352
-20008.89931
-27883.93174
-25118.66378
-17956.14486
18059.81884
22967.25744
33919.10764
20740.30456
12154.69761
3791.18023
-6213.536375
-15069.58657
-19399.72402
-29503.72248
-28984.08773
-23813.80819
12029.47675
23039.86053
23629.98332
14123.87136
2928.628123
-2532.706238
-9237.265317
-9872.185775
-19113.70932
-23364.3765
-28379.75488
-27061.33248
7441.018864
20404.86134
17037.67756
7876.769459
-2041.972623
-7941.89618
Dataseries Y:
Download CSV
Histogram 
-0.034283041
-0.057660003
-0.105996947
-0.208621088
-0.220404198
-0.139474505
-0.104664416
-0.039026785
-0.104663312
-0.021180889
-0.032833113
-0.013625501
-0.101489299
-0.13145901
-0.156198341
-0.19270995
-0.155507653
-0.126748865
-0.103485538
-0.134593206
-0.107595864
-0.097242772
0.025542545
-0.000339608
-0.038608451
-0.030397529
-0.086146589
-0.141688487
-0.073334743
0.009073611
0.03694428
0.077657082
0.0338156
0.062967047
0.178426251
0.253705275
0.230301784
0.167617064
0.102643593
-0.00366903
-0.035648469
-0.066270404
-0.068986516
-0.044020567
-0.020446172
0.057529055
0.099280321
0.134155403
0.089399272
0.133251135
0.096780647
-0.001781812
0.028527049
0.092153397
0.126208459
0.1625611
0.154490341
0.176210215
0.222227014
0.249335133

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51345&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]2 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=51345&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51345&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Model: Y[t] = c + b X[t] + e[t]
c-2.08634847394461e-13
b5.44231409030613e-07

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -2.08634847394461e-13 \tabularnewline
b & 5.44231409030613e-07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51345&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-2.08634847394461e-13[/C][/ROW]
[ROW][C]b[/C][C]5.44231409030613e-07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51345&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51345&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-2.08634847394461e-13
b5.44231409030613e-07






Descriptive Statistics about e[t]
# observations60
minimum-0.207318590602433
Q1-0.102312713770578
median-0.0214028199604733
mean-8.12202952463203e-18
Q30.0999851082192375
maximum0.253657362348625

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -0.207318590602433 \tabularnewline
Q1 & -0.102312713770578 \tabularnewline
median & -0.0214028199604733 \tabularnewline
mean & -8.12202952463203e-18 \tabularnewline
Q3 & 0.0999851082192375 \tabularnewline
maximum & 0.253657362348625 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51345&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]-0.207318590602433[/C][/ROW]
[ROW][C]Q1[/C][C]-0.102312713770578[/C][/ROW]
[ROW][C]median[/C][C]-0.0214028199604733[/C][/ROW]
[ROW][C]mean[/C][C]-8.12202952463203e-18[/C][/ROW]
[ROW][C]Q3[/C][C]0.0999851082192375[/C][/ROW]
[ROW][C]maximum[/C][C]0.253657362348625[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51345&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51345&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]
# observations60
minimum-0.207318590602433
Q1-0.102312713770578
median-0.0214028199604733
mean-8.12202952463203e-18
Q30.0999851082192375
maximum0.253657362348625


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')