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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 computationSun, 26 Oct 2008 04:30:49 -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/26/t1225017117k19tlfw7tgris7b.htm/, Retrieved Sun, 19 May 2024 15:24:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18840, Retrieved Sun, 19 May 2024 15:24:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact200

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Tukey lambda PPCC Plot] [Tukey lambda tot ...] [2008-10-24 09:02:28] [e1a46c1dcfccb0cb690f79a1a409b517]
F RMPD  [Univariate Explorative Data Analysis] [Univariate Explor...] [2008-10-24 12:02:31] [e1a46c1dcfccb0cb690f79a1a409b517]
-   PD    [Univariate Explorative Data Analysis] [UEDA - Vlaams gew...] [2008-10-26 09:55:38] [46c5a5fbda57fdfa1d4ef48658f82a0c]
F    D        [Univariate Explorative Data Analysis] [4plot prijs kledi...] [2008-10-26 10:30:49] [b23db733701c4d62df5e228d507c1c6a] [Current]
F    D          [Univariate Explorative Data Analysis] [taak 2/1] [2008-10-26 11:52:50] [29647dffafb5b58c12a48dbf6cba2b57]
F    D            [Univariate Explorative Data Analysis] [taak 2/2] [2008-10-26 14:28:17] [29647dffafb5b58c12a48dbf6cba2b57]
-               [Univariate Explorative Data Analysis] [Prijs Kledij - To...] [2008-10-27 10:12:59] [b5373f20234c18c6452d5f98d8abf0fe]
- RMP           [Central Tendency] [taak 3 task 2 ver...] [2008-10-28 19:19:05] [46c5a5fbda57fdfa1d4ef48658f82a0c]
- RMP           [Tukey lambda PPCC Plot] [Feedback Lambda] [2008-11-04 08:50:20] [b635de6fc42b001d22cbe6e730fec936]
Feedback Forum
2008-10-28 19:53:28 [Ken Van den Heuvel] [reply] 
http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/28/t1225221589cty1nnflw42dang.htm

Hieruit blijkt een vaste variatie en een niet vaste locatie gezien het degressieve verloop.
2008-11-04 08:53:00 [Bas van Keken] [reply] 
De conclusies die u trekt in het document zijn duidelijker te begrijpen als u de berekenening of de waarneming erbij geeft. U stelt verder dat er geen normaalverdeling is maar uit de Lambdaberekening blijkt het tegendeel waar.
Link:
http://www.freestatistics.org/blog/index.php?v=date/2008/Nov/04/t1225788702ak5kn5fe3ubgn1j.htm



Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.904891304
1.03526971
0.97939156
0.944444444
1.233333333
1.054910243
0.99009901
0.914990859
0.978494624
1.104740904
1.042619543
1.046826223
0.943396226
0.970902037
0.982352941
0.955109838
1.163953488
1.086862106
0.936389149
0.892539964
0.98820059
1.092391304
0.988706366
0.992783505
0.918406072
0.94255112
0.987767584
0.926315789
1.107551487
1.076751947
0.881602914
0.868397493
0.983772819
1.001031992
1.01787592
0.998969072
0.862466726
0.945578231
0.998973306
0.872531418
1.113272311
1.005165289
0.852760736
0.882139619
0.936477382
0.957677165
1.036997886
1.009384776
0.924546323
0.941634241
0.986748216
0.849868306
1.196538937
1.011494253
0.855123675
0.914069877
0.889705882
0.946236559
0.978787879
0.964250248
0.840692641

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=18840&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=18840&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18840&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
# observations61
minimum0.840692641
Q10.924546323
median0.978787879
mean0.978815005934426
Q31.011494253
maximum1.233333333

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & 0.840692641 \tabularnewline
Q1 & 0.924546323 \tabularnewline
median & 0.978787879 \tabularnewline
mean & 0.978815005934426 \tabularnewline
Q3 & 1.011494253 \tabularnewline
maximum & 1.233333333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18840&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]0.840692641[/C][/ROW]
[ROW][C]Q1[/C][C]0.924546323[/C][/ROW]
[ROW][C]median[/C][C]0.978787879[/C][/ROW]
[ROW][C]mean[/C][C]0.978815005934426[/C][/ROW]
[ROW][C]Q3[/C][C]1.011494253[/C][/ROW]
[ROW][C]maximum[/C][C]1.233333333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18840&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18840&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
minimum0.840692641
Q10.924546323
median0.978787879
mean0.978815005934426
Q31.011494253
maximum1.233333333


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')