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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 computationMon, 02 Nov 2009 07:48:25 -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/02/t1257173374a8m07s4d1ecy13k.htm/, Retrieved Fri, 03 May 2024 17:43:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52687, Retrieved Fri, 03 May 2024 17:43:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
-   PD  [Bivariate Data Series] [Reproduction Part 1] [2009-10-26 18:51:43] [96e597a9107bfe8c07649cce3d4f6fec]
- RMPD    [Bivariate Explorative Data Analysis] [JJ Workshop 4, De...] [2009-10-26 19:42:48] [96e597a9107bfe8c07649cce3d4f6fec]
-    D      [Bivariate Explorative Data Analysis] [JJ Workshop 4, de...] [2009-10-27 18:56:34] [96e597a9107bfe8c07649cce3d4f6fec]
- RM D        [Bivariate Explorative Data Analysis] [JJ Workshop 5, mo...] [2009-11-02 13:36:21] [96e597a9107bfe8c07649cce3d4f6fec]
-    D            [Bivariate Explorative Data Analysis] [JJ Workshop 5, mo...] [2009-11-02 14:48:25] [e31f2fa83f4a5291b9a51009566cf69b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0,115348744
-0,007430684
0,133083506
0,10990307
-0,044227883
-0,027962073
0,124923169
0,069938271
0,10207697
0,074946808
0,033187327
0,032240529
-0,099390858
0,015707515
0,144498623
0,054184893
-0,105055816
-0,182509537
0,023413818
-0,034617275
-0,030773287
0,088969168
-0,018347742
0,015141613
-0,083681811
0,012257933
0,063956725
0,050285253
-0,148793116
-0,211572756
0,038835971
-0,054887315
-0,064381527
0,040560126
-0,096653186
-0,03730336
-0,058279231
0,01374282
0,012929942
0,031409519
-0,167303701
-0,234454594
0,071595677
-0,058758499
-0,029159212
-0,003939614
-0,04168033
-0,040265025
-0,036687857
0,120682129
0,186906774
0,188095521
-0,048823116
-0,02473896
0,058343008
0,047528578
0,098720517
0,159550648
0,025284856
0,032824856
Dataseries Y:
Download CSV
Histogram 
-9.314
-5.0234
9.814
8.1308
-10.2608
-15.3104
4.6961
-2.2175
6.0038
-1.2903
2.5262
1.1646
-7.4196
5.355
14.0077
4.5124
-3.8231
-16.2402
8.6444
0.0841
-3.0662
10.6491
-2.219
-1.2421
-5.2066
5.9774
9.549
8.2253
-6.2735
-21.3735
8.4939
3.0555
-4.8665
10.9275
-3.7873
-5.1465
-1.1365
5.8179
3.1025
10.4451
-6.8916
-21.2798
11.7841
-4.1934
-0.0117
1.7321
-6.8123
-7.9135
-0.168
2.0539
8.7166
12.7296
-4.5136
-13.8994
10.342
-3.6225
1.558
11.2231
-4.3136
-5.8018

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52687&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]4 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=52687&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52687&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 time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Model: Y[t] = c + b X[t] + e[t]
c-0.258664563629984
b72.3381411963535

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -0.258664563629984 \tabularnewline
b & 72.3381411963535 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52687&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-0.258664563629984[/C][/ROW]
[ROW][C]b[/C][C]72.3381411963535[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52687&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52687&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-0.258664563629984
b72.3381411963535






Descriptive Statistics about e[t]
# observations60
minimum-13.0290110515533
Q1-4.0663307521452
median0.182574857485303
mean-7.05743334143231e-17
Q34.14430534288306
maximum8.43165834329844

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -13.0290110515533 \tabularnewline
Q1 & -4.0663307521452 \tabularnewline
median & 0.182574857485303 \tabularnewline
mean & -7.05743334143231e-17 \tabularnewline
Q3 & 4.14430534288306 \tabularnewline
maximum & 8.43165834329844 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52687&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]-13.0290110515533[/C][/ROW]
[ROW][C]Q1[/C][C]-4.0663307521452[/C][/ROW]
[ROW][C]median[/C][C]0.182574857485303[/C][/ROW]
[ROW][C]mean[/C][C]-7.05743334143231e-17[/C][/ROW]
[ROW][C]Q3[/C][C]4.14430534288306[/C][/ROW]
[ROW][C]maximum[/C][C]8.43165834329844[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52687&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52687&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-13.0290110515533
Q1-4.0663307521452
median0.182574857485303
mean-7.05743334143231e-17
Q34.14430534288306
maximum8.43165834329844


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')