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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 computationMon, 03 Nov 2008 10:22:30 -0700
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/Nov/03/t1225733020x2cpbl8iq0yfofv.htm/, Retrieved Sun, 19 May 2024 11:36:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20897, Retrieved Sun, 19 May 2024 11:36:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact191

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   PD  [Mean Plot] [mean plot Q 3] [2008-10-30 11:54:43] [ed2ba3b6182103c15c0ab511ae4e6284]
F           [Mean Plot] [Q3] [2008-11-03 17:22:30] [577b699a0819d2125728ba9ae2c57238] [Current]
-   P         [Mean Plot] [q3] [2008-11-07 18:29:52] [4ad596f10399a71ad29b7d76e6ab90ac]
Feedback Forum
2008-11-09 13:56:16 [Bob Leysen] [reply] 
Deze grafiek is fout. Hieronder vindt u de juiste link:
http://www.freestatistics.org/blog/index.php?v=date/2008/Nov/02/t1225639708qpqz4kxtjqsk2ev.htm

Er is een duidelijk verschil tussen het 1ste en het 5de jaar, en misschien is er wel een significant verschil. De mediaan daalt ook, maar niet significant.
Het zesde jaar vertegenwoordigt enkel een paar maanden dus we hoeven er geen rekening mee te houden.
2008-11-11 15:40:46 [Annelies Michiels] [reply] 
Je maakt hier de foute redenering.
Je moet gewoon werken met je vorige mean plot die je hebt gemaakt namelijk:
http://www.freestatistics.org/blog/index.php?v=date/2008/Nov/03/t12257328539l8fkhdpiflfgte.htm

en kijken naar de notched box plot:sequential blocks.
Jaar 6 moet buiten beschouwing worden gelaten omdat het jaar nog niet volledig gedaan is en anders een vertekend beeld zou geven.

Nu moeten we ons zelf afvragen is deze daling significant of eerder toevallig?
De daling is niet significant want de betrouwbaarheidsintervallen van de verschillende blokjes doorkruisen elkaar.
Het verschil is dus eerder te wijten aan een toevaligheid dan aan een significant verschil.

We kunnen dus concluderen dat er wel degelijk een daling is maar deze daling is niet significant.

2008-11-11 19:08:15 [Ellen Van Ham] [reply] 
Foute grafiek (zie forum juiste). Je moest hier gebruik maken van de mean plot die ook bij vraag 2 gebruikte. Het aantal blocks moet op 12 blijven staan. We zien duidelijk dat er een dalende trend is. Het verschil tussen jaar 1 en jaar 5 is niet significant, omdat de notched box plots elkaar kruisen. Dit is louter toevallig. Jaar 6 houden we buiten beschouwing omdat we hier enkel gegevens hebben van de eerste maanden (geen volledig jaar dus).
http://www.freestatistics.org/blog/index.php?v=date/2008/Nov/11/t1226428315ecuy3k6jix15itn.htm

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
109.20
88.60
94.30
98.30
86.40
80.60
104.10
108.20
93.40
71.90
94.10
94.90
96.40
91.10
84.40
86.40
88.00
75.10
109.70
103.00
82.10
68.00
96.40
94.30
90.00
88.00
76.10
82.50
81.40
66.50
97.20
94.10
80.70
70.50
87.80
89.50
99.60
84.20
75.10
92.00
80.80
73.10
99.80
90.00
83.10
72.40
78.80
87.30
91.00
80.10
73.60
86.40
74.50
71.20
92.40
81.50
85.30
69.90
84.20
90.70
100.30

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'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 & 3 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=20897&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20897&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20897&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 5 ;
Parameters (R input):
par1 = 5 ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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))
ari <- array(0,dim=par1)
j <- 0
for (i in 1:n)
{
j = j + 1
ari[j] = ari[j] + 1
arr[j,ari[j]] <- x[i]
if (j == par1) j = 0
}
ari
arr
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='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()