Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationFri, 30 Nov 2007 04:02:50 -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/2007/Nov/30/t11964199631jp0ckee1sjkpvi.htm/, Retrieved Sat, 27 Apr 2024 15:41:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7643, Retrieved Sat, 27 Apr 2024 15:41:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ4, ARIMA, 4-plot, assumpties
Estimated Impact195
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Explorative Data Analysis] [4-plot] [2007-11-30 11:02:50] [bd7b8d7754bcf95ad80b21f541dc6b78] [Current]
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Dataseries X:
0.00448570722258807 
0.00161627008051144 
-0.00148103604695934 
0.00370662236561495 
0.00365213590849957 
-0.00111929007561087 
0.00202894670871937 
-0.00319537555574839 
-0.000115297471801953 
0.000207732752387937 
-0.000193809964066644 
-0.000617502855287235 
0.00267917863791114 
0.00101870086796636 
0.00122816042981585 
0.00164007142023998 
-0.000425131732519528 
-0.00136244733432715 
0.000558705725005591 
0.000315360633839379 
0.00209902605197982 
0.000918783548783637 
0.00185127411835918 
0.00296081256507189 
0.000115071804741404 
0.00224444271218977 
0.00358967265745595 
-0.000791569555137633 
0.000820898909146944 
0.0042654643382554 
0.000352135463422806 
0.00101319797453202 
0.00577618519868283 
-0.00317793724831984 
0.00276463935659925 
-0.00335592071342644 
-0.00207518674583269 
0.00250587076741912 
0.00127015567990493 
0.00582329478916602 
0.00347779560993236 
0.00106706078643245 
-0.00208869630491994 
0.00118711723817082 
0.000678895704500574 
-0.00133031152020092 
4.66272759626643e-05 
-0.00190522951870584 
0.00492388039825642 
-0.000982094706596713 
0.00158700153242671 
-0.00324114444069905 
-0.00109834861765504 
-0.00307957607000311 
0.00246280425525008 
0.000451168657026153 
0.000557078701682656 
-0.000667750757797388 
-0.00189007898443563 
0.00111563541279842 
0.00235327038447162 
0.00439708454751803 
0.00118393590213247 
-0.00548126638100145 
-0.00487263830895669 
0.00328381565008992 
0.000385101134086802 
0.00344659419526791 
0.000301555401043752 
-0.00262866719031730 
0.00118629498011972 
-0.000377642996183579 
0.000626204256106537 
0.0008049247836587 
-0.000155132511933779 
0.00321473719305704 
0.00180526825813112 
-0.00103547278097048 
0.00202972923549924 
0.00127992120343444 
-0.00170430074604714 
0.00588152522860069 
-0.00257880934823165 
-0.00270165345509185 
0.000605358855440578 
0.00366563922443009 
0.0045409959925552 
-0.000643791480355452 
-0.000592834618556011 
0.00277039361546545 
0.00405977710356672 
0.000665078000940488 
-0.000969006282867427 
-0.00158668951022226 
-0.000794393348260039 
0.000638022815746765 
-0.00214771844939365 
0.00105058419629655 
-0.00254981462795891 
0.00262015509706327 
0.00153553233128507 
-0.000947475648852895 
0.00124325433079447 
0.00104583455268845 
-0.00480731405784928 
-0.00122987289697014 
0.00206882711674461 
0.00183460657908581 
-0.00177412254735189 
0.00199191110992592 
-0.00181600070846074 
0.00190792404916493 
-0.00352131241210541 
-0.000333990880691547 
0.00189578833611634 
-0.00158666313146865 
-0.00022224948193303 




Summary of compuational 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 compuational 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=7643&T=0

[TABLE]
[ROW][C]Summary of compuational 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=7643&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7643&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational 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







Descriptive Statistics
# observations117
minimum-0.00548126638100145
Q1-0.00103547278097048
median0.000638022815746765
mean0.000548125298288
Q30.00202894670871937
maximum0.00588152522860069

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 117 \tabularnewline
minimum & -0.00548126638100145 \tabularnewline
Q1 & -0.00103547278097048 \tabularnewline
median & 0.000638022815746765 \tabularnewline
mean & 0.000548125298288 \tabularnewline
Q3 & 0.00202894670871937 \tabularnewline
maximum & 0.00588152522860069 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7643&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]117[/C][/ROW]
[ROW][C]minimum[/C][C]-0.00548126638100145[/C][/ROW]
[ROW][C]Q1[/C][C]-0.00103547278097048[/C][/ROW]
[ROW][C]median[/C][C]0.000638022815746765[/C][/ROW]
[ROW][C]mean[/C][C]0.000548125298288[/C][/ROW]
[ROW][C]Q3[/C][C]0.00202894670871937[/C][/ROW]
[ROW][C]maximum[/C][C]0.00588152522860069[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7643&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7643&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Descriptive Statistics
# observations117
minimum-0.00548126638100145
Q1-0.00103547278097048
median0.000638022815746765
mean0.000548125298288
Q30.00202894670871937
maximum0.00588152522860069



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)
library(lattice)
bitmap(file='pic1.png')
plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic2.png')
hist(x)
grid()
dev.off()
bitmap(file='pic3.png')
if (par1 > 0)
{
densityplot(~x,col='black',main=paste('Density Plot bw = ',par1),bw=par1)
} else {
densityplot(~x,col='black',main='Density Plot')
}
dev.off()
bitmap(file='pic4.png')
qqnorm(x)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='lagplot.png')
dum <- cbind(lag(x,k=1),x)
dum
dum1 <- dum[2:length(x),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Lag plot, lowess, and regression line'))
lines(lowess(z))
abline(lm(z))
dev.off()
bitmap(file='pic5.png')
acf(x,lag.max=par2,main='Autocorrelation Function')
grid()
dev.off()
}
summary(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Descriptive Statistics',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'# observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'minimum',header=TRUE)
a<-table.element(a,min(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,quantile(x,0.25))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
a<-table.element(a,median(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,mean(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,quantile(x,0.75))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'maximum',header=TRUE)
a<-table.element(a,max(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')