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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_meanplot.wasp
Title produced by softwareMean Plot
Date of computationThu, 30 Oct 2008 10:03:45 -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/30/t1225382696o6fun6dgs6897j8.htm/, Retrieved Sun, 19 May 2024 15:26:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20110, Retrieved Sun, 19 May 2024 15:26:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact181

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Mean Plot] [workshop 3] [2007-10-26 12:14:28] [e9ffc5de6f8a7be62f22b142b5b6b1a8]
F    D  [Mean Plot] [taak 4 - Q2 Boxplot] [2008-10-30 12:55:29] [46c5a5fbda57fdfa1d4ef48658f82a0c]
- RM D    [Star Plot] [taak 4 part 2 Q2 ...] [2008-10-30 15:05:10] [46c5a5fbda57fdfa1d4ef48658f82a0c]
- RMPD      [Mean Plot] [part 2 q3] [2008-10-30 15:49:15] [e1a46c1dcfccb0cb690f79a1a409b517]
F    D          [Mean Plot] [part 2 q3 ] [2008-10-30 16:03:45] [bda7fba231d49184c6a1b627868bbb81] [Current]
Feedback Forum
2008-11-06 16:24:55 [Joren Nuyts] [reply] 
Student maakt verkeerde interpretaties en gebruikt verkeerde grafiek om te antwoorden.
Student maakt gebruik van de mean plot terwijl hier de notched boxplot moest gebruikt worden. Door geen gebruik te maken van de notched boxplot-grafiek zal de student de gegevens niet onderling kunnen vergelijken en geen correcte uitkomst kunnen geven.

Bij het gebruik van de notched boxplots, moet men gaan kijken naar de notches(inkepingen) van de portfolio's. Men moet dan een denkbeeldige lijn trekken ter hoogte van 103,8 omwille van de gestelde voorwaarden (winst van 3,8%). Verder moet er ook rekening gehouden worden met het betrouwbaarheidsinterval dat te vinden is tussen de inkepingen van de boxplots. Indien de denkbeeldige lijn daartussen ligt, is er een mogelijkheid dat de waarde onder de 103,8 kan zijn. Dit mag ook niet tot gevolg dat IND10_UT90 aan alle voorwaarden voldoet en het beste is.

Deze link geeft het juiste grfaiek-gebruik weer:
http://www.freestatistics.org/blog/index.php?v=date/2008/Nov/06/t12259886427tva0g6x9zfqhgx.htm

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100,00
100,37
100,26
100,37
100,18
99,78
99,64
100,01
100,67
100,50
100,28
100,24
99,49
99,36
99,68
100,42
100,75
100,87
101,04
101,36
101,57
101,93
102,37
103,10
103,22
102,96
102,77
102,38
103,10
103,90
104,12
103,75
104,37
103,94
103,78
104,15
104,01
103,33
103,05
103,08
102,86
103,08
102,50
102,20
102,14
102,28
102,43
102,82
103,22
102,95
103,14
103,45
103,68
103,98
104,49
104,39
104,76
105,51
105,77
106,18
106,44
106,74
106,51
106,97
107,15
106,93
106,73
106,78
106,75
106,96
106,80
106,51
105,97
105,95
106,45
106,63
106,99
107,09
107,57
107,46
107,82
107,66
107,50
107,89
108,24
108,57
109,22
109,40
109,10
108,72

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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=20110&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=20110&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20110&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
(n <- length(x))
(np <- floor(n / par1))
arr <- array(NA,dim=c(par1,np+1))
darr <- array(NA,dim=c(par1,np+1))
ari <- array(0,dim=par1)
dx <- diff(x)
j <- 0
for (i in 1:n)
{
j = j + 1
ari[j] = ari[j] + 1
arr[j,ari[j]] <- x[i]
darr[j,ari[j]] <- dx[i]
if (j == par1) j = 0
}
ari
arr
darr
arr.mean <- array(NA,dim=par1)
arr.median <- array(NA,dim=par1)
arr.midrange <- array(NA,dim=par1)
for (j in 1:par1)
{
arr.mean[j] <- mean(arr[j,],na.rm=TRUE)
arr.median[j] <- median(arr[j,],na.rm=TRUE)
arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2
}
overall.mean <- mean(x)
overall.median <- median(x)
overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2
bitmap(file='plot1.png')
plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.mean,0)
dev.off()
bitmap(file='plot2.png')
plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.median,0)
dev.off()
bitmap(file='plot3.png')
plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.midrange,0)
dev.off()
bitmap(file='plot4.png')
z <- data.frame(t(arr))
names(z) <- c(1:par1)
(boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries'))
dev.off()
bitmap(file='plot4b.png')
z <- data.frame(t(darr))
names(z) <- c(1:par1)
(boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced Periodic Subseries'))
dev.off()
bitmap(file='plot5.png')
z <- data.frame(arr)
names(z) <- c(1:np)
(boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks'))
dev.off()
bitmap(file='plot6.png')
z <- data.frame(cbind(arr.mean,arr.median,arr.midrange))
names(z) <- list('mean','median','midrange')
(boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots'))
dev.off()