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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 computationMon, 27 Oct 2008 14:38:46 -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/27/t1225139979d4jfiikjx3ckmu3.htm/, Retrieved Sun, 19 May 2024 05:41:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19591, Retrieved Sun, 19 May 2024 05:41:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Central Tendency] [Q6 Distributions] [2007-10-22 19:20:42] [b731da8b544846036771bbf9bf2f34ce]
F    D  [Central Tendency] [Q6] [2008-10-23 11:15:50] [28075c6928548bea087cb2be962cfe7e]
F RMPD      [Univariate Explorative Data Analysis] [Investigation Dis...] [2008-10-27 20:38:46] [3bb0537fcae9c337e49b9ce75ff3d4da] [Current]
-   PD        [Univariate Explorative Data Analysis] [Q7] [2008-10-31 16:10:18] [57850c80fd59ccfb28f882be994e814e]
-   PD        [Univariate Explorative Data Analysis] [verbetering] [2008-11-02 20:06:37] [79c17183721a40a589db5f9f561947d8]
Feedback Forum
2008-10-31 16:16:03 [Bob Leysen] [reply] 
De lags werden niet op 36 ingesteld. Hieronder heb ik dat wel gedaan:
http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/31/t1225469466x9hsae5in0ty6ny.htm

In de run sequence zien we dat de spreiding steeds groter en groter wordt. Er is geen autocorrelatie, want ik het begin zijn er veel outliers tegenover het einde. Er is wel een normaalverdeling (density plot). Bij de normal QQ plot zien we dat de punten bijna op 1 rechte liggen met in begin en einde enkele uitschieters.
2008-11-02 20:09:57 [Steven Hulsmans] [reply] 
http://www.freestatistics.org/blog/date/2008/Nov/02/t1225656455fis5x2al3byd10t.htm

In deze versie zijn de lags ingesteld op 36 waardoor alle grafieken weergegeven worden. Er is een normaalverdeling (density plot) maar niet echt sprake van autocorrelatie.
2008-11-03 18:06:25 [Dries Van Gheluwe] [reply] 
Zelfde oplossing is terug te vinden in Q2, ook hier zijn de lag plots achterwege gelaten.
2008-11-04 01:02:38 [Steven Symons] [reply] 
je moet je lags zoals is de voorgaande opgaven steeds op 36 zetten, op die manier kan je juiste conclusies trekken

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93,4
101,5
110,4
105,9
108,4
113,9
86,1
69,4
101,2
100,5
98
106,6
90,1
96,9
125,9
112
100
123,9
79,8
83,4
113,6
112,9
104
109,9
99
106,3
128,9
111,1
102,9
130
87
87,5
117,6
103,4
110,8
112,6
102,5
112,4
135,6
105,1
127,7
137
91
90,5
122,4
123,3
124,3
120
118,1
119
142,7
123,6
129,6
151,6
110,4
99,2
130,5
136,2
129,7
128

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19591&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]3 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=19591&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19591&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Descriptive Statistics
# observations60
minimum69.4
Q1100.375
median110.6
mean110.92
Q3123.675
maximum151.6

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 60 \tabularnewline
minimum & 69.4 \tabularnewline
Q1 & 100.375 \tabularnewline
median & 110.6 \tabularnewline
mean & 110.92 \tabularnewline
Q3 & 123.675 \tabularnewline
maximum & 151.6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19591&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]69.4[/C][/ROW]
[ROW][C]Q1[/C][C]100.375[/C][/ROW]
[ROW][C]median[/C][C]110.6[/C][/ROW]
[ROW][C]mean[/C][C]110.92[/C][/ROW]
[ROW][C]Q3[/C][C]123.675[/C][/ROW]
[ROW][C]maximum[/C][C]151.6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19591&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19591&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
# observations60
minimum69.4
Q1100.375
median110.6
mean110.92
Q3123.675
maximum151.6


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')