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 computationThu, 18 Dec 2008 03:24:30 -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/Dec/18/t1229595925kertfw4bgqgqfm9.htm/, Retrieved Sun, 12 May 2024 05:24:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34631, Retrieved Sun, 12 May 2024 05:24:57 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact212
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Gilliam Schoorel] [2008-11-06 14:07:56] [666bda00bbd072dde5655a1423b1377b]
-    D  [Mean Plot] [Mean plot van suiker] [2008-12-09 15:11:12] [f77c9ab3b413812d7baee6b7ec69a15d]
-    D      [Mean Plot] [Mean plot chocopasta] [2008-12-18 10:24:30] [3fc0b50a130253095e963177b0139835] [Current]
-  M D        [Mean Plot] [Groot brood mean ...] [2010-12-03 09:40:05] [ff7c1e95cf99a1dae07ec89975494dde]
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Dataseries X:
101.73
101.63
101.43
101.34
101.01
100.89
100.93
100.77
100.3
99.86
99.71
99.93
99.88
99.92
99.87
99.63
100.05
99.88
100.11
100.05
100.07
100.2
100.21
99.76
99.41
99.24
99.65
99.7
99.79
99.84
101
101.62
101.98
101.46
102.28
102.14
102.02
102.21
101.61
102.38
102.19
102.04
101.76
101.9
102.01
102.37
103.04
103.42
103.76
104.41
104.75
104.28
103.89
104.09
103.8
105.03
105.86
106.04
106.03
106.13
107.21
107.66
108.08
108.76
108.26
108.71
108.65
108.61
108.86
109.54
108.22
108.77
109.9
110.13
109.6
110.42
110.6
109.73
110.72
111.08
111.14
111.01
110.56
111.57
101.73
101.63
101.43
101.34
101.01
100.89
100.93
100.77
100.3
99.86
99.71
99.93
99.88
99.92
99.87
99.63
100.05
99.88
100.11
100.05
100.07
100.2
100.21
99.76
99.41
99.24
99.65
99.7
99.79
99.84
101
101.62
101.98
101.46
102.28
102.14
102.02
102.21
101.61
102.38
102.19
102.04
101.76
101.9
102.01
102.37
103.04
103.42
103.76
104.41
104.75
104.28
103.89
104.09
103.8
105.03
105.86
106.04
106.03
106.13
107.21
107.66
108.08
108.76
108.26
108.71
108.65
108.61
108.86
109.54
108.22
108.77
109.9
110.13
109.6
110.42
110.6
109.73
110.72
111.08
111.14
111.01
110.56
111.57




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34631&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34631&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34631&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'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))
darr <- array(NA,dim=c(par1,np+1))
ari <- array(0,dim=par1)
dx <- diff(x)
j <- 0
for (i in 1:n)
{
j = j + 1
ari[j] = ari[j] + 1
arr[j,ari[j]] <- x[i]
darr[j,ari[j]] <- dx[i]
if (j == par1) j = 0
}
ari
arr
darr
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='plot4b.png')
z <- data.frame(t(darr))
names(z) <- c(1:par1)
(boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced 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()