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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 computationSun, 01 Nov 2009 12:10:15 -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/01/t12571027258kog4riqgcu3hve.htm/, Retrieved Mon, 06 May 2024 19:38:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52396, Retrieved Mon, 06 May 2024 19:38:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact175

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Explorative Data Analysis] [SHW] [2009-11-01 18:32:04] [a66d3a79ef9e5308cd94a469bc5ca464]
-    D    [Bivariate Explorative Data Analysis] [SHWWS5] [2009-11-01 19:10:15] [db49399df1e4a3dbe31268849cebfd7f] [Current]
- RMP       [Pearson Correlation] [correlatie uitgez...] [2009-11-04 19:40:54] [cd6314e7e707a6546bd4604c9d1f2b69]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0,317563243
0,793263584
0,245684805
-0,027819099
0,072180901
0,414346267
0,893263584
0,366767488
0,245684805
0,666767488
1,004090411
1,204090411
1,283007729
0,356511632
0,330015536
0,956511632
1,01975968
0,998676998
0,314346267
0,651098219
0,893263584
0,572180901
0,788421142
0,688421142
0,183007729
-0,39648056
-0,307307387
-0,22839007
-0,586224705
-0,612720801
-0,844630311
-0,907878359
-1,57653982
-1,787366647
-1,26029958
-1,297051532
-1,434374455
-0,760870551
-0,229532013
0,075881401
0,539129449
0,512633353
1,143971891
0,822889208
1,569897016
2,375310429
2,960212132
2,460212132
2,307219939
1,522889208
-0,077110792
-0,324118599
-0,713291772
-0,807878359
-2,023547628
-1,881382262
-2,907878359
-3,518134214
-3,733232512
-2,669984464
Dataseries Y:
Download CSV
Histogram 
33,97260143
16,58856422
10,35739026
3,126967938
-1,873032062
-5,949839504
-10,41143578
-12,18101346
-16,64260974
-16,18101346
11,20452701
19,20452701
19,74293073
12,97335305
6,20377538
-2,026646945
-10,64185811
-12,10345439
-15,9498395
-17,33462834
-21,41143578
-19,87303206
4,050912124
10,05091212
11,74293073
6,434197706
0,818234915
-5,643361364
-5,720168806
-8,489746481
-8,56730555
-9,952094388
-12,64486462
-9,260827411
8,279079566
12,6638684
15,27832794
9,508750263
4,815980031
1,123961426
-0,491249737
-1,260827411
-2,953597644
-4,415193923
-6,954349272
-6,646367876
9,970346542
13,97034654
17,43119119
11,58480608
7,584806077
3,123961426
-0,260075783
-2,952094388
-6,105709271
-8,182516713
-12,95209439
-13,79772788
1,818986543
6,20377538

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=52396&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=52396&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52396&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-1.75581258903677e-10
b1.46492232402802

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -1.75581258903677e-10 \tabularnewline
b & 1.46492232402802 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52396&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-1.75581258903677e-10[/C][/ROW]
[ROW][C]b[/C][C]1.46492232402802[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52396&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52396&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-1.75581258903677e-10
b1.46492232402802






Descriptive Statistics about e[t]
# observations60
minimum-22.7199975452673
Q1-8.6275759668698
median-1.52482392341582
mean-7.255480938273e-16
Q39.44882189970608
maximum34.437806914137

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -22.7199975452673 \tabularnewline
Q1 & -8.6275759668698 \tabularnewline
median & -1.52482392341582 \tabularnewline
mean & -7.255480938273e-16 \tabularnewline
Q3 & 9.44882189970608 \tabularnewline
maximum & 34.437806914137 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52396&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]-22.7199975452673[/C][/ROW]
[ROW][C]Q1[/C][C]-8.6275759668698[/C][/ROW]
[ROW][C]median[/C][C]-1.52482392341582[/C][/ROW]
[ROW][C]mean[/C][C]-7.255480938273e-16[/C][/ROW]
[ROW][C]Q3[/C][C]9.44882189970608[/C][/ROW]
[ROW][C]maximum[/C][C]34.437806914137[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52396&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52396&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-22.7199975452673
Q1-8.6275759668698
median-1.52482392341582
mean-7.255480938273e-16
Q39.44882189970608
maximum34.437806914137


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')