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 computationSat, 01 Nov 2008 09:12:37 -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/t12255524564o0l37tqa4u3l04.htm/, Retrieved Sun, 19 May 2024 11:37:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20431, Retrieved Sun, 19 May 2024 11:37:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact189
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] [Hypotheses Testin...] [2008-11-01 11:04:36] [33f4701c7363e8b81858dafbf0350eed]
F    D      [Mean Plot] [Testing Hypothese...] [2008-11-01 15:12:37] [dafd615cb3e0decc017580d68ecea30a] [Current]
F    D        [Mean Plot] [T5] [2008-11-03 19:05:19] [b187fac1a1b0cb3920f54366df47fea3]
-               [Mean Plot] [Task 5] [2008-11-03 20:50:18] [1e82cb4c98d4057b5653dbe7a07f2cda]
F               [Mean Plot] [task 5] [2008-11-03 23:06:08] [b641c14ac36cb6fee377f3b099dcac19]
-               [Mean Plot] [] [2008-11-09 19:54:39] [888addc516c3b812dd7be4bd54caa358]
-               [Mean Plot] [] [2008-11-09 19:54:39] [888addc516c3b812dd7be4bd54caa358]
Feedback Forum
2008-11-09 14:33:45 [Bob Leysen] [reply
Goede grafiek.

Grafisch is er een sterke daling waar te nemen, alhoewel we duidelijk opmerken dat de productie slechts enkele eenheden daalt.
2008-11-11 08:45:51 [Jeroen Michel] [reply
Ook hier verwijzen we naar de vorige vraag. Er is een sterke daling waar te nemen, maar ook hier daalt dit slechts enkele eenheden!

Voor de rest goede analyse en grafieken.

Post a new message
Dataseries X:
121,5
121
120,6
120,2
119,9
119,5
119,1
118,6
118,2
118
118
118
118
117,9
117,6
117,2
116,7
116,2
115,8
115,4
114,9
114,5
114
113,4
112,8
112,4
112,2
112,4
112,7
113
113,1
113
112,9
112,9
112,6
112,1
111,5
111
110,6
110,1
109,4
108,6
107,7
106,9
106,2
105,5
104,8
104,2
103,6
102,9
102,2
101,5
101,2
101,1
101,2
101,4
101,6
101,8
102,2
102,8




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=20431&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=20431&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20431&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001



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()