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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationTue, 20 Oct 2009 13:21:26 -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/20/t1256066548dnrk0gtua65fe9m.htm/, Retrieved Thu, 02 May 2024 18:50:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49050, Retrieved Thu, 02 May 2024 18:50:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsworkshop 3 deel 2.3 eda
Estimated Impact122

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMP       [Histogram] [workshop 3 deel 1...] [2009-10-19 19:20:29] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Univariate Explorative Data Analysis] [workshop 3 deel 2...] [2009-10-20 19:21:26] [6198946fb53eb5eb18db46bb758f7fde] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0,254448836
-0,256780831
-0,259858758
-0,262922664
-0,58299007
-0,269660681
-0,267500517
-0,255754535
-0,25189903
-0,247821188
-0,247866841
-0,249146156
-0,251426129
-0,25565253
-0,250103244
-0,250663359
-0,238473671
-0,232090754
-0,232847188
-0,234824571
-0,239128757
-0,239601826
-0,235402947
-0,232119695
-0,220166096
-0,213161853
-0,205117286
-0,209143249
-0,198978042
-0,213920482
-0,216990968
-0,215575519
-0,219207253
-0,219075142
-0,225220401
-0,217999529
-0,227524361
-0,239380179
-0,241235077
-0,241653918
-0,233510584
-0,232338549
-0,233602859
-0,234539434
-0,228081164
-0,221364739
-0,210459879
-0,217238843
-0,217936845
-0,224668866
-0,222757515
-0,228283207
-0,226825709
-0,234957874
-0,228228971
-0,228282532
-0,232320865
-0,22971766
-0,229870746
-0,230794044
-0,226855875
-0,231231714
-0,230266723
-0,228504068
-0,230569043
-0,229456547
-0,231130029
-0,24063145
-0,243416097
-0,246560656
-0,246300188
-0,248241127
-0,258941951
-0,257554536
-0,247733179
-0,254730878
-0,256799653
-0,261192655
-0,262520696
-0,255958914
-0,251464499
-0,252894413
-0,239531306
-0,235265203
-0,208414972

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=49050&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=49050&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49050&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






Descriptive Statistics
# observations85
minimum-0.58299007
Q1-0.250103244
median-0.234539434
mean-0.240532722235294
Q3-0.227524361
maximum-0.198978042

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 85 \tabularnewline
minimum & -0.58299007 \tabularnewline
Q1 & -0.250103244 \tabularnewline
median & -0.234539434 \tabularnewline
mean & -0.240532722235294 \tabularnewline
Q3 & -0.227524361 \tabularnewline
maximum & -0.198978042 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49050&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]85[/C][/ROW]
[ROW][C]minimum[/C][C]-0.58299007[/C][/ROW]
[ROW][C]Q1[/C][C]-0.250103244[/C][/ROW]
[ROW][C]median[/C][C]-0.234539434[/C][/ROW]
[ROW][C]mean[/C][C]-0.240532722235294[/C][/ROW]
[ROW][C]Q3[/C][C]-0.227524361[/C][/ROW]
[ROW][C]maximum[/C][C]-0.198978042[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49050&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49050&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:

Descriptive Statistics
# observations85
minimum-0.58299007
Q1-0.250103244
median-0.234539434
mean-0.240532722235294
Q3-0.227524361
maximum-0.198978042


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)
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)
qqline(x)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='lagplot1.png')
dum <- cbind(lag(x,k=1),x)
dum
dum1 <- dum[2:length(x),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main='Lag plot (k=1), lowess, and regression line')
lines(lowess(z))
abline(lm(z))
dev.off()
if (par2 > 1) {
bitmap(file='lagplotpar2.png')
dum <- cbind(lag(x,k=par2),x)
dum
dum1 <- dum[(par2+1):length(x),]
dum1
z <- as.data.frame(dum1)
z
mylagtitle <- 'Lag plot (k='
mylagtitle <- paste(mylagtitle,par2,sep='')
mylagtitle <- paste(mylagtitle,'), and lowess',sep='')
plot(z,main=mylagtitle)
lines(lowess(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')