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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 computationSat, 25 Oct 2008 03:44:24 -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/2008/Oct/25/t12249279600p03wbg5dvkyite.htm/, Retrieved Sun, 19 May 2024 02:42:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18669, Retrieved Sun, 19 May 2024 02:42:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact223

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Univariate Explorative Data Analysis] [Q3] [2008-10-25 09:44:24] [b4fc5040f26b33db57f84cfb8d1d2b82] [Current]
-         [Univariate Explorative Data Analysis] [Q3 IA2] [2008-10-27 18:14:29] [3d2d096cc21c6f80db3dd7b8e12effce]
-         [Univariate Explorative Data Analysis] [Q3 IA2] [2008-10-27 18:17:18] [3d2d096cc21c6f80db3dd7b8e12effce]
-         [Univariate Explorative Data Analysis] [Q4 IA2] [2008-10-27 18:21:00] [3d2d096cc21c6f80db3dd7b8e12effce]
-   PD    [Univariate Explorative Data Analysis] [Autocorrelatie - ...] [2008-11-03 19:51:33] [c5a66f1c8528a963efc2b82a8519f117]
Feedback Forum
2008-11-03 19:57:12 [Sanne Kerckhofs] [reply] 
Aan de hand van deze gegevens kan geen seizoensgebondenheid worden afgeleid. Het aantal lags werd namelijk niet ingegeven waardoor er geen grafieken met correlaties worden weergegeven. Volgende link geeft een correct beeld omdat ik het aantal lags heb ingegeven. Er worden nu wel grafieken betreffende correlatie getoond waaruit seizoensgebondenheid kan worden afgeleid.
http://www.freestatistics.org/blog/date/2008/Nov/03/t1225741939n6qrc2sg3qkje98.htm

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,989130
0,919087
0,925417
0,925612
1,066667
0,851109
1,030693
0,989031
0,913001
0,792723
0,978170
0,987513
0,909434
0,883608
0,827451
0,825215
1,023256
0,815418
1,026193
0,914742
0,807276
0,739130
0,989733
0,972165
0,853890
0,856865
0,775739
0,789474
0,931350
0,739711
0,885246
0,842435
0,818458
0,727554
0,923239
0,922680
0,883762
0,818270
0,771047
0,825853
0,924485
0,755165
0,874671
0,815956
0,799808
0,712598
0,832981
0,910323
0,869150
0,779183
0,750255
0,758560
0,920890
0,743992
0,816254
0,769594
0,784007
0,683284
0,850505
0,900695
0,868398

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'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18669&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18669&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18669&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Descriptive Statistics
# observations61
minimum0.683284
Q10.792723
median0.85389
mean0.862100016393443
Q30.92268
maximum1.066667

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & 0.683284 \tabularnewline
Q1 & 0.792723 \tabularnewline
median & 0.85389 \tabularnewline
mean & 0.862100016393443 \tabularnewline
Q3 & 0.92268 \tabularnewline
maximum & 1.066667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18669&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]0.683284[/C][/ROW]
[ROW][C]Q1[/C][C]0.792723[/C][/ROW]
[ROW][C]median[/C][C]0.85389[/C][/ROW]
[ROW][C]mean[/C][C]0.862100016393443[/C][/ROW]
[ROW][C]Q3[/C][C]0.92268[/C][/ROW]
[ROW][C]maximum[/C][C]1.066667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18669&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18669&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
# observations61
minimum0.683284
Q10.792723
median0.85389
mean0.862100016393443
Q30.92268
maximum1.066667


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 0 ;
Parameters (R input):
par1 = 0 ; par2 = 0 ;
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')