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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 05:54:43 -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/t122536776325sqo48amn5wm4a.htm/, Retrieved Sun, 19 May 2024 14:08:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19982, Retrieved Sun, 19 May 2024 14:08:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact244

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] [a8228479d4547a92e2d3f176a5299609] [Current]
F           [Mean Plot] [Q3] [2008-11-03 17:22:30] [4ad596f10399a71ad29b7d76e6ab90ac]
-   P         [Mean Plot] [q3] [2008-11-07 18:29:52] [4ad596f10399a71ad29b7d76e6ab90ac]
F           [Mean Plot] [Task 1 Q3] [2008-11-03 18:54:10] [005293453b571dbccb80b45226e44173]
F   P         [Mean Plot] [Task 1 Q3] [2008-11-03 18:56:21] [005293453b571dbccb80b45226e44173]
F           [Mean Plot] [] [2008-11-03 20:42:04] [af90f76a5211a482a7c35f2c76d2fd61]
F           [Mean Plot] [] [2008-11-03 20:44:59] [af90f76a5211a482a7c35f2c76d2fd61]
F           [Mean Plot] [] [2008-11-03 21:05:14] [29747f79f5beb5b2516e1271770ecb47]
F           [Mean Plot] [] [2008-11-03 21:06:18] [29747f79f5beb5b2516e1271770ecb47]
-   P       [Mean Plot] [Q3] [2008-11-05 18:33:05] [ed2ba3b6182103c15c0ab511ae4e6284]
-             [Mean Plot] [verbetering Q3] [2008-11-07 16:53:17] [2bd2ad6af3eef3a703e9ec23e39bd695]
Feedback Forum
2008-11-05 18:37:44 [Tom Ardies] [reply] 
Ik had de blocks op 12 moeten laten staan. Met 12 blocks vertegenwoordigt elke block een maand. juiste blog: http://www.freestatistics.org/blog/index.php?v=date/2008/Nov/05/t1225910014p8hfh91ozaswc2k.htm

Om nu te zien of er een daling is van de productie moet je gaan kijken naar de sequential boxplot kijken, daarin kan je zien dat er een lichte daling is van de productie. Jaar over jaar is er een lichte daling met jaar 4 stagnatie. Het verschil van jaar 1 ten opzichte van jaar 5 is juist niet significant te noemen.
2008-11-07 16:54:03 [Mehmet Yilmaz] [reply] 
De student veranderd de blockwidth om de periodes aan te passen. Dit is fout. De blockwidth zou op 12 moeten blijven.

Juiste reproductie:
http://www.freestatistics.org/blog/index.php?v=date/2008/Nov/07/t1226076815x22eeanda48m8wy.htm

Bij de box plot is het duidelijk visueel zichtbaar dat er seizoenaliteit aanwezig is. Deze is niet significant want mediaan valt binnen de betrouwbaarheidsintervallen.

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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 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=19982&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=19982&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19982&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):
par1 = 5 ;
Parameters (R input):
par1 = 5 ;
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()