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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 10:21:47 -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/t12567469822pz9bzmbmz2786n.htm/, Retrieved Mon, 06 May 2024 00:01:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51515, Retrieved Mon, 06 May 2024 00:01:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101

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] [Bivariate eda et ...] [2009-10-28 16:21:47] [2694a35f9be9144abd040893a0238ab5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-9.025408898
0.961051813
-0.763484335
-1.03592439
2.248061689
-0.848089637
-4.983828298
0.25823367
-6.879841767
-6.638261166
0.217477947
-0.810495567
-10.47131954
0.209299231
-1.704377914
2.62868046
4.578783287
1.179951675
-0.727402164
4.535347277
-2.951113434
1.060226936
2.350536321
3.393009597
-5.868982764
1.957546649
4.794110187
2.330673725
3.685793615
3.979608164
0.265243998
6.254041485
0.521670132
1.201464026
4.406962455
7.330398012
-4.44210984
2.078921143
5.999608617
4.262563712
4.255415527
5.171085938
3.762563712
7.433697522
3.320983111
0.95204822
4.243525993
7.964281264
-2.961628926
3.265725365
4.685931471
-3.114549896
-0.703347383
-6.424721877
-9.75929215
-7.222247245
-9.551113434
-11.50520279
-7.029257573
-2.322522958
Dataseries Y:
Download CSV
Histogram 
34359.65199
38587.02116
39828.34883
25986.36384
23275.05495
17536.29032
18772.05119
17652.20376
13809.9006
8724.299812
16880.69725
30459.84012
46817.26404
48434.47313
33761.22827
23046.26404
19412.02669
18194.0587
16429.72728
14460.31681
6857.947638
8866.128469
13765.73302
26895.93617
44300.32807
40044.92511
20984.05693
7217.188746
-3365.781217
-1398.080623
-6766.60414
-11243.17094
-18608.92805
-24943.61165
-24305.5909
-4494.039323
13943.06444
-1778.359277
-9378.922319
-23034.8075
-28900.61363
-22818.44406
-26936.8075
-37226.46857
-33849.20671
-46097.09564
-37418.45908
-19433.11086
-7315.340504
-16251.85078
-27402.16718
-37091.92054
-36045.35375
-31317.06936
-28183.27647
-25545.39129
-29559.05236
-36135.66442
-24894.58339
-7562.619362

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=51515&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=51515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51515&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-3.33336712863463e-07
b-614.105547841743

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -3.33336712863463e-07 \tabularnewline
b & -614.105547841743 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51515&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-3.33336712863463e-07[/C][/ROW]
[ROW][C]b[/C][C]-614.105547841743[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51515&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-3.33336712863463e-07
b-614.105547841743






Descriptive Statistics about e[t]
# observations60
minimum-45512.4375459518
Q1-24285.4671109557
median526.70879673632
mean-6.94777568810423e-13
Q319744.9759049133
maximum48563.0049492494

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -45512.4375459518 \tabularnewline
Q1 & -24285.4671109557 \tabularnewline
median & 526.70879673632 \tabularnewline
mean & -6.94777568810423e-13 \tabularnewline
Q3 & 19744.9759049133 \tabularnewline
maximum & 48563.0049492494 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51515&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]-45512.4375459518[/C][/ROW]
[ROW][C]Q1[/C][C]-24285.4671109557[/C][/ROW]
[ROW][C]median[/C][C]526.70879673632[/C][/ROW]
[ROW][C]mean[/C][C]-6.94777568810423e-13[/C][/ROW]
[ROW][C]Q3[/C][C]19744.9759049133[/C][/ROW]
[ROW][C]maximum[/C][C]48563.0049492494[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51515&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51515&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-45512.4375459518
Q1-24285.4671109557
median526.70879673632
mean-6.94777568810423e-13
Q319744.9759049133
maximum48563.0049492494


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')