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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_edauni.wasp

Title produced by software

Univariate Explorative Data Analysis

Date of computation

Fri, 24 Oct 2008 06:02:31 -0600

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/24/t122484981401o2wj6dkeadpab.htm/, Retrieved Sun, 19 May 2024 13:53:55 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18593, Retrieved Sun, 19 May 2024 13:53:55 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

188

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] [bda7fba231d49184c6a1b627868bbb81] [Current]
-   PD      [Univariate Explorative Data Analysis] [Univariate Explor...] [2008-10-24 12:14:49] [e1a46c1dcfccb0cb690f79a1a409b517] 
- RMP       [Tukey lambda PPCC Plot] [Tukey lambda vlaa...] [2008-10-24 12:22:32] [e1a46c1dcfccb0cb690f79a1a409b517] 
- RMPD      [Harrell-Davis Quantiles] [harrel davis quan...] [2008-10-24 12:28:14] [e1a46c1dcfccb0cb690f79a1a409b517] 
-   PD      [Univariate Explorative Data Analysis] [UEDA - Vlaams gew...] [2008-10-26 09:55:38] [46c5a5fbda57fdfa1d4ef48658f82a0c] 
- RMP         [Tukey lambda PPCC Plot] [PPCC Tukey Lambda...] [2008-10-26 10:08:44] [46c5a5fbda57fdfa1d4ef48658f82a0c] 
-    D          [Tukey lambda PPCC Plot] [PPCC Tukey Lambda...] [2008-10-26 17:52:44] [46c5a5fbda57fdfa1d4ef48658f82a0c] 
F    D          [Tukey lambda PPCC Plot] [Taak 3 Q8] [2008-10-27 08:04:07] [29647dffafb5b58c12a48dbf6cba2b57] 
- RMP         [Harrell-Davis Quantiles] [Harrell-Davis - V...] [2008-10-26 10:14:34] [46c5a5fbda57fdfa1d4ef48658f82a0c] 
-    D          [Harrell-Davis Quantiles] [Harrell-Davis - B...] [2008-10-26 17:55:06] [74be16979710d4c4e7c6647856088456] 
F    D          [Harrell-Davis Quantiles] [Harrell-Davis - B...] [2008-10-26 17:55:06] [46c5a5fbda57fdfa1d4ef48658f82a0c] 
F    D          [Harrell-Davis Quantiles] [Taak 3 Q9] [2008-10-27 08:18:25] [29647dffafb5b58c12a48dbf6cba2b57] 
F    D        [Univariate Explorative Data Analysis] [4plot prijs kledi...] [2008-10-26 10:30:49] [46c5a5fbda57fdfa1d4ef48658f82a0c] 
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] 
F    D        [Univariate Explorative Data Analysis] [4plot investering...] [2008-10-26 10:33:39] [46c5a5fbda57fdfa1d4ef48658f82a0c] 
F    D          [Univariate Explorative Data Analysis] [4plot prijs kledi...] [2008-10-26 10:43:33] [46c5a5fbda57fdfa1d4ef48658f82a0c] 
- RM D            [Central Tendency] [taak 3 task 2 ver...] [2008-10-28 19:23:37] [46c5a5fbda57fdfa1d4ef48658f82a0c] 
-    D          [Univariate Explorative Data Analysis] [Investering - Tot...] [2008-10-27 10:05:38] [b5373f20234c18c6452d5f98d8abf0fe] 
- RMPD          [Central Tendency] [taak 3 task 2 ver...] [2008-10-28 19:21:48] [46c5a5fbda57fdfa1d4ef48658f82a0c] 
F    D        [Univariate Explorative Data Analysis] [4 plot Belgi�] [2008-10-26 17:47:31] [46c5a5fbda57fdfa1d4ef48658f82a0c] 
- RM            [Central Tendency] [taak 3 task 3 ver...] [2008-10-28 19:26:19] [46c5a5fbda57fdfa1d4ef48658f82a0c] 
- RMP           [Tukey lambda PPCC Plot] [Feedback Lambda] [2008-11-04 09:03:43] [b635de6fc42b001d22cbe6e730fec936] 
F    D        [Univariate Explorative Data Analysis] [Taak 3 Q7] [2008-10-27 07:50:28] [29647dffafb5b58c12a48dbf6cba2b57] 

Feedback Forum

2008-11-03 17:51:00 [Stéphanie Claes] [reply] 
1. Voor de eerste assumptie is het duidelijker als je gaat kijken naar de lag plot, maar er werd volgens mij een juiste conclusie geformuleerd. 
 
2. Als we gaan kijken naar het histogram en density plot dan kan er rechts een afwijking waargenomen worden volgens mij. 
 
3. Voor de derde assumptie is het beter om te kijken naar de run sequence in plaats van Q-Q plot zoals de student voorstelt. We zien een achteruitgang dus kunnen we vermoeden dat het niveau op lange termijn niet constant blijft. 
 
4. De student maakt een foute analyse, we kijken naar de run sequence en bepalen of er sprake is van een gelijke spreiding en hier is de spreiding ongeveer even breed. 
 
De student maakt geen besluitvorming. 

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Dataseries X:

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Histogram

Boxplots

0,370261265
0,366182674
0,372273793
0,381189937
0,380507049
0,374787455
0,372080121
0,367027931
0,365210545
0,366467234
0,399243877
0,410718366
0,386458244
0,376815758
0,379214868
0,381068956
0,38286553
0,375550522
0,373421606
0,372663402
0,371421384
0,377794785
0,408504487
0,419995032
0,393166341
0,385274748
0,381257491
0,384269306
0,384535633
0,3808246
0,377188781
0,37535941
0,373115667
0,375267632
0,406847169
0,426199688
0,397190396
0,399886149
0,393113384
0,39838006
0,398133245
0,390841886
0,388728808
0,386805095
0,382658744
0,385661163
0,413132818
0,422725018
0,395751888
0,393901819
0,385024286
0,388191399
0,369521476
0,371671593
0,366696045
0,374031922
0,368629916
0,369072262
0,38744478
0,384519877
0,37195362

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18593&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]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=18593&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18593&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 computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Descriptive Statistics
# observations	61
minimum	0.365210545
Q1	0.373115667
median	0.381257491
mean	0.384568835016393
Q3	0.393113384
maximum	0.426199688

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & 0.365210545 \tabularnewline
Q1 & 0.373115667 \tabularnewline
median & 0.381257491 \tabularnewline
mean & 0.384568835016393 \tabularnewline
Q3 & 0.393113384 \tabularnewline
maximum & 0.426199688 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18593&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]0.365210545[/C][/ROW]
[ROW][C]Q1[/C][C]0.373115667[/C][/ROW]
[ROW][C]median[/C][C]0.381257491[/C][/ROW]
[ROW][C]mean[/C][C]0.384568835016393[/C][/ROW]
[ROW][C]Q3[/C][C]0.393113384[/C][/ROW]
[ROW][C]maximum[/C][C]0.426199688[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18593&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18593&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
# observations	61
minimum	0.365210545
Q1	0.373115667
median	0.381257491
mean	0.384568835016393
Q3	0.393113384
maximum	0.426199688

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

Postscript link

PDF link

Figure 6

PNG link

Postscript link

PDF link

Figure 7

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code