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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 computationSat, 01 Nov 2008 05:49:35 -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/Nov/01/t1225540234e9iqm6k30ulgcnz.htm/, Retrieved Sun, 19 May 2024 10:20:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20363, Retrieved Sun, 19 May 2024 10:20:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact225

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] [Testing Hypothese...] [2008-11-01 11:49:35] [dafd615cb3e0decc017580d68ecea30a] [Current]
F R         [Mean Plot] [Testing Hypothese...] [2008-11-01 14:51:25] [33f4701c7363e8b81858dafbf0350eed]
-             [Mean Plot] [T4 - Q3] [2008-11-03 19:02:37] [b187fac1a1b0cb3920f54366df47fea3]
-               [Mean Plot] [TASK 4, II] [2008-11-03 20:43:09] [1e82cb4c98d4057b5653dbe7a07f2cda]
-               [Mean Plot] [Task 4 , II] [2008-11-03 20:45:35] [1e82cb4c98d4057b5653dbe7a07f2cda]
F               [Mean Plot] [task 4 Q3] [2008-11-03 23:03:54] [b641c14ac36cb6fee377f3b099dcac19]
-               [Mean Plot] [] [2008-11-09 19:47:38] [888addc516c3b812dd7be4bd54caa358]
F           [Mean Plot] [T1 - Q3] [2008-11-03 18:49:25] [b187fac1a1b0cb3920f54366df47fea3]
F             [Mean Plot] [q3] [2008-11-03 22:54:22] [b641c14ac36cb6fee377f3b099dcac19]
-             [Mean Plot] [] [2008-11-09 18:46:21] [888addc516c3b812dd7be4bd54caa358]
Feedback Forum
2008-11-09 14:15:37 [Bob Leysen] [reply] 
Goede grafiek.

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.
2008-11-10 22:31:13 [Ilknur Günes] [reply] 
5 tov 1 is wel een twijfelgeval: kan significant zijn
De rest zit in elkaar getrouwheidsinterval

Stel dat jaar 5 eruit valt, dan is er sprake van toeval, want ze vallen in elkaars getrouwheidsinterval … we mogen niet over ‘significant’ spreken
2008-11-11 08:20:06 [Jeroen Michel] [reply] 
De grafieken zijn goed. Het is duidelijk dat we jaar 6 buiten beschouwing mogen laten aangezien deze data onvolledig zijn. Van groot belang is om te stellen dat er niet echt een significant verschil is, maar eerder sprake van toeval. Dit aangezien de alle jaren in het getrouwheidsinterval zitten.

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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=20363&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=20363&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20363&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 = 12 ;
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))
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()