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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 computationWed, 04 Nov 2009 16:38:20 -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/05/t12573780157asptn5dbz6p0b3.htm/, Retrieved Thu, 02 May 2024 20:05:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53870, Retrieved Thu, 02 May 2024 20:05:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130

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] [] [2009-11-04 23:38:20] [f28d7d960f810305ab21287f74476644] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14836.78129
4363.00051
-4002.328314
-1812.109098
848.00051
-1406.670666
-4893.45145
-8497.328314
-9477.095569
-4271.766746
24414.12365
33009.34286
33054.56208
37817.57561
26184.90443
25413.23325
21611.23325
20980.90443
19480.35639
12208.68521
8744.014038
13570.57561
43565.35639
47787.35639
46298.24678
32359.01404
22631.90443
24020.57561
21922.90443
17815.12365
9175.890902
6032.562078
6020.342862
8397.671686
35701.00051
41019.00051
32444.43894
13947.43894
1575.110118
-2650.99949
-2245.109098
-8832.218706
-17035.21871
-20944.21871
-29913.67067
-31604.67067
2188.219726
8149.54855
-7346.889882
-15975.65714
-24040.42439
-22757.64361
-20422.08204
-26004.19165
-30769.06851
-33706.8493
-40292.94538
-31693.60302
-1712.712632
1714.835408
-12289.2742
-24404.39734
-34307.64361
-30919.09557
-28222.76675
-28942.32831
-33556.90341
-34260.90341
-43434.80733
-37319.04008
-9341.382428
3.631100644
Dataseries Y:
Download CSV
Histogram 
523,5658454
-3273,146241
-10414,07811
-6902,790198
-2897,146241
-4727,214371
-8504,926458
-9664,078111
-9522,585808
-11281,65394
11711,70211
18606,99002
18669,27793
20458,48232
12320,41419
11765,34606
10978,34606
12736,41419
13642,19441
6972,126279
2179,058149
2409,482322
25864,19441
29791,19441
31499,55045
23225,05815
17110,41419
20072,48232
15823,41419
14852,70211
7120,209802
7283,277932
7607,990019
2783,921889
19491,85376
20415,85376
19612,42959
5818,429585
-1078,502285
-4449,146241
-681,7901979
-4945,434155
-13923,43415
-15768,43415
-26036,21437
-36721,21437
-12942,85833
-12288,92646
-16241,50228
-16101,00998
-19161,51768
-14289,80559
-10476,38142
-13384,02537
-16588,17703
-17771,88911
-23359,32868
-18508,19242
3181,163623
608,3834059
-161,2605507
-6787,108898
-15131,80559
-8601,585808
-1830,653938
-180,0781112
-3207,706675
-2290,706675
-14767,26711
-14364,75941
2786,104328
11306,30872

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53870&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53870&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53870&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'George Udny Yule' @ 72.249.76.132






Model: Y[t] = c + b X[t] + e[t]
c4.81007666810169e-07
b0.527784017182103

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 4.81007666810169e-07 \tabularnewline
b & 0.527784017182103 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53870&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]4.81007666810169e-07[/C][/ROW]
[ROW][C]b[/C][C]0.527784017182103[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53870&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53870&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]
c4.81007666810169e-07
b0.527784017182103






Descriptive Statistics about e[t]
# observations72
minimum-20040.7743225510
Q1-4118.77861685935
median-132.94153328634
mean-2.40227590906114e-13
Q34297.27903536547
maximum15791.6505585368

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 72 \tabularnewline
minimum & -20040.7743225510 \tabularnewline
Q1 & -4118.77861685935 \tabularnewline
median & -132.94153328634 \tabularnewline
mean & -2.40227590906114e-13 \tabularnewline
Q3 & 4297.27903536547 \tabularnewline
maximum & 15791.6505585368 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53870&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]-20040.7743225510[/C][/ROW]
[ROW][C]Q1[/C][C]-4118.77861685935[/C][/ROW]
[ROW][C]median[/C][C]-132.94153328634[/C][/ROW]
[ROW][C]mean[/C][C]-2.40227590906114e-13[/C][/ROW]
[ROW][C]Q3[/C][C]4297.27903536547[/C][/ROW]
[ROW][C]maximum[/C][C]15791.6505585368[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53870&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53870&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-20040.7743225510
Q1-4118.77861685935
median-132.94153328634
mean-2.40227590906114e-13
Q34297.27903536547
maximum15791.6505585368


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')