Free Statistics

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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 12:03:36 -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/t1225739071tn0jocvtd2gsba6.htm/, Retrieved Mon, 20 May 2024 09:29:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20994, Retrieved Mon, 20 May 2024 09:29:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156
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] [Hypothesis testin...] [2008-11-02 20:16:04] [2d4aec5ed1856c4828162be37be304d9]
F    D      [Mean Plot] [Hypothesis testin...] [2008-11-03 19:03:36] [d7f41258beeebb8716e3f5d39f3cdc01] [Current]
Feedback Forum
2008-11-05 15:28:24 [Peter Melgers] [reply
Mean Plot en Notched Box Plots Periodic Subseries:

Er is zeker seizonaliteit merkbaar in de datareeks. Tussen maand 2 en 3, en maand 3 en maand 4 bijvoorbeeld. (Ze vallen niet bij elkaar in het betrouwbaarheidsinterval).


Notched Box Plots Sequential Blocks:

De mediaan zakt eerst lichtjes en stijgt dan terug. De eerste 3 jaren kan dit te wijten zijn aan toeval aangezien ze nog in elkaars betrouwbaarheidsinterval vallen.

Tussen jaar 3 en jaar 4 is er een significante stijging te merken (de notches komen niet overeen). Tussen jaar 4 en jaar 5 is het nog een twijfelgeval aangezien de notches maar heel nipt overeenkomen.
2008-11-07 14:10:50 [Sofie Vanbrabant] [reply
Tussen jaar 3 en 4 is er inderdaad een significante stijging. Tussen jaar 4 en 5 spreek ik ook over een twijfelgeval. Er is ook wel een duidelijk significante stijging tussen jaar 1 en jaar 5.

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Dataseries X:
110,3
114,8
94,6
92
93,8
93,8
107,6
101
95,4
96,5
89,2
87,1
110,5
110,8
104,2
88,9
89,8
90
93,9
91,3
87,8
99,7
73,5
79,2
96,9
95,2
95,6
89,7
92,8
88
101,1
92,7
95,8
103,8
81,8
87,1
105,9
108,1
102,6
93,7
103,5
100,6
113,3
102,4
102,1
106,9
87,3
93,1
109,1
120,3
104,9
92,6
109,8
111,4
117,9
121,6
117,8
124,2
106,8
100,9




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=20994&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=20994&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20994&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135



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()