FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 08 Nov 2009 06:49:06 -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/08/t1257688182mv7m1wm7x8mvsaf.htm/, Retrieved Sat, 04 May 2024 13:00:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54540, Retrieved Sat, 04 May 2024 13:00:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Nationale consump...] [2009-10-21 09:31:25] [1646a2766cb8c4a6f9d3b2fffef409b3]
- RMPD    [Bivariate Explorative Data Analysis] [] [2009-11-08 13:49:06] [b83ad3e324a04589b985913c26f6921c] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14836.775
4362.995
-4002.335
-1812.115
847.995
-1406.675
-4893.455
-8497.335
-9477.105
-4271.775
24414.115
33009.335
33054.555
37817.565
26184.895
25413.225
21611.225
20980.895
19480.345
12208.675
8744.005
13570.565
43565.345
47787.345
46298.235
32359.005
22631.895
24020.565
21922.895
17815.115
9175.885
6032.555
6020.335
8397.665
35700.995
41018.995
32444.435
13947.435
1575.105
-2651.005
-2245.115
-8832.225
-17035.225
-20944.225
-29913.675
-31604.675
2188.215
8149.545
-7346.895
-15975.665
-24040.435
-22757.655
-20422.095
-26004.205
-30769.085
-33706.865
-40292.965
-31693.625
-1712.735
1714.815
-12289.295
-24404.415
-34307.655
-30919.105
-28222.775
-28942.335
-33556.905
-34260.905
-43434.805
-37319.035
-9341.375
3.635
Dataseries Y:
Download CSV
Histogram 
523.568
-3273.144
-10414.076
-6902.788
-2897.144
-4727.212
-8504.924
-9664.076
-9522.584
-11281.652
11711.704
18606.992
18669.28
20458.484
12320.416
11765.348
10978.348
12736.416
13642.196
6972.128
2179.06
2409.484
25864.196
29791.196
31499.552
23225.06
17110.416
20072.484
15823.416
14852.704
7120.212
7283.28
7607.992
2783.924
19491.856
20415.856
19612.432
5818.432
-1078.5
-4449.144
-681.788
-4945.432
-13923.432
-15768.432
-26036.212
-36721.212
-12942.856
-12288.924
-16241.5
-16101.008
-19161.516
-14289.804
-10476.38
-13384.024
-16588.176
-17771.888
-23359.328
-18508.192
3181.164
608.384
-161.26
-6787.108
-15131.804
-8601.584
-1830.652
-180.076
-3207.704
-2290.704
-14767.264
-14364.756
2786.108
11306.312

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=54540&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=54540&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54540&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]
c0.00626934125194564
b0.527784017194664

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 0.00626934125194564 \tabularnewline
b & 0.527784017194664 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54540&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]0.00626934125194564[/C][/ROW]
[ROW][C]b[/C][C]0.527784017194664[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54540&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54540&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]
c0.00626934125194564
b0.527784017194664






Descriptive Statistics about e[t]
# observations72
minimum-20040.7759357095
Q1-4118.77969548187
median-132.940365338568
mean-2.22982126590270e-13
Q34297.27938914172
maximum15791.6478042835

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 72 \tabularnewline
minimum & -20040.7759357095 \tabularnewline
Q1 & -4118.77969548187 \tabularnewline
median & -132.940365338568 \tabularnewline
mean & -2.22982126590270e-13 \tabularnewline
Q3 & 4297.27938914172 \tabularnewline
maximum & 15791.6478042835 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54540&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]-20040.7759357095[/C][/ROW]
[ROW][C]Q1[/C][C]-4118.77969548187[/C][/ROW]
[ROW][C]median[/C][C]-132.940365338568[/C][/ROW]
[ROW][C]mean[/C][C]-2.22982126590270e-13[/C][/ROW]
[ROW][C]Q3[/C][C]4297.27938914172[/C][/ROW]
[ROW][C]maximum[/C][C]15791.6478042835[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54540&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54540&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-20040.7759357095
Q1-4118.77969548187
median-132.940365338568
mean-2.22982126590270e-13
Q34297.27938914172
maximum15791.6478042835


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')