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, 02 Nov 2009 23:07:54 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/02/t12571997437cqg4ne9yvc8san.htm/, Retrieved Sat, 20 Apr 2024 11:39:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53038, Retrieved Sat, 20 Apr 2024 11:39:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact549
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Mean Plot] [3/11/2009] [2009-11-02 22:07:54] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-   PD    [Mean Plot] [] [2009-11-04 15:42:39] [8d2349dc1d6314bc274adc9ad027c980]
-   PD    [Mean Plot] [] [2009-11-04 15:47:29] [4d62210f0915d3a20cbf115865da7cd4]
- R PD    [Mean Plot] [ws6] [2009-11-04 15:55:03] [757146c69eaf0537be37c7b0c18216d8]
-   PD    [Mean Plot] [mean plot] [2009-11-04 19:26:11] [315ba876df544ad397193b5931d5f354]
-   P       [Mean Plot] [Paper] [2009-12-09 19:51:32] [3e19a07d230ba260a720e0e03e0f40f2]
-    D    [Mean Plot] [ws 6 y] [2009-11-04 22:46:56] [6e4e01d7eb22a9f33d58ebb35753a195]
-   PD    [Mean Plot] [mean plot] [2009-11-05 10:42:37] [cd6314e7e707a6546bd4604c9d1f2b69]
-    D    [Mean Plot] [WS 6 Mean Plot - ...] [2009-11-05 10:49:18] [b103a1dc147def8132c7f643ad8c8f84]
-    D      [Mean Plot] [Paper: Mean plot] [2009-12-17 12:33:22] [b103a1dc147def8132c7f643ad8c8f84]
-   PD    [Mean Plot] [Mean Plot Y[t]] [2009-11-05 12:11:05] [4395c69e961f9a13a0559fd2f0a72538]
-    D      [Mean Plot] [Paper Mean Plot Y[t]] [2009-12-17 16:30:24] [4395c69e961f9a13a0559fd2f0a72538]
-   PD    [Mean Plot] [Mean Plot BDM] [2009-11-05 13:19:35] [f5d341d4bbba73282fc6e80153a6d315]
-   PD      [Mean Plot] [Mean Plot BDM] [2009-11-10 12:01:58] [f5d341d4bbba73282fc6e80153a6d315]
-             [Mean Plot] [tg13] [2009-11-10 14:41:41] [a21bac9c8d3d56fdec8be4e719e2c7ed]
- R P           [Mean Plot] [ws6] [2009-11-15 22:38:36] [3fc64fd7a52ce121dfe13dba27bf6e5b]
-             [Mean Plot] [TVD 13] [2009-11-10 22:41:03] [42ad1186d39724f834063794eac7cea3]
-               [Mean Plot] [PA13] [2009-12-15 10:00:48] [a21bac9c8d3d56fdec8be4e719e2c7ed]
-    D        [Mean Plot] [WS6 Mean plot] [2009-11-13 19:25:54] [445b292c553470d9fed8bc2796fd3a00]
- RM D        [Standard Deviation Plot] [WS6 Standard devi...] [2009-11-13 19:33:06] [445b292c553470d9fed8bc2796fd3a00]
-   PD    [Mean Plot] [shwws6vr1] [2009-11-05 14:43:43] [2b2cfeea2f5ac2a1bcb842baaf1415ef]
-   PD    [Mean Plot] [Shwws6v1] [2009-11-05 14:43:25] [5f89c040fdf1f8599c99d7f78a662321]
-   PD    [Mean Plot] [mean plot] [2009-11-05 16:48:17] [eaf42bcf5162b5692bb3c7f9d4636222]
-    D    [Mean Plot] [Shw6: Mean Plot v...] [2009-11-05 19:49:52] [3c8b83428ce260cd44df892bb7619588]
-    D    [Mean Plot] [Shw6: Mean Plot v...] [2009-11-05 20:20:46] [3c8b83428ce260cd44df892bb7619588]
-   PD    [Mean Plot] [] [2009-11-06 10:56:19] [74be16979710d4c4e7c6647856088456]
-   PD    [Mean Plot] [ws6_mean plot] [2009-11-06 15:48:34] [8b1aef4e7013bd33fbc2a5833375c5f5]
-           [Mean Plot] [] [2009-11-11 10:32:54] [08fc5c07292c885b941f0cb515ce13f3]
-    D        [Mean Plot] [Mean plot - uitvo...] [2009-12-10 22:29:43] [37a8d600db9abe09a2528d150ccff095]
- RMPD        [Standard Deviation-Mean Plot] [Standard deviatio...] [2009-12-10 23:53:58] [37a8d600db9abe09a2528d150ccff095]
-    D    [Mean Plot] [Mean plot] [2009-11-07 09:31:45] [3b0db66ac8145b1be856a517e2900332]
-   PD    [Mean Plot] [ws 6] [2009-11-07 14:00:38] [b5908418e3090fddbd22f5f0f774653d]
-    D    [Mean Plot] [WS 6: Mean Plot] [2009-11-07 16:07:37] [8cf9233b7464ea02e32be3b30fdac052]
-   PD      [Mean Plot] [WS 6: Mean plot] [2009-11-12 17:15:53] [b97b96148b0223bc16666763988dc147]
-    D    [Mean Plot] [] [2009-11-07 16:10:51] [77305478ee09a4d442b7c3bff26eeaaa]
-   PD    [Mean Plot] [SHWWS6link11] [2009-11-08 10:32:43] [a66d3a79ef9e5308cd94a469bc5ca464]
-   PD    [Mean Plot] [Workshop 6 Mean Plot] [2009-11-08 12:17:28] [f924a0adda9c1905a1ba8f1c751261ff]
-   PD    [Mean Plot] [Mean plot, Median...] [2009-11-08 14:19:47] [d46757a0a8c9b00540ab7e7e0c34bfc4]
- RMPD    [Standard Deviation Plot] [St. Deviation Plot] [2009-11-08 14:46:32] [d46757a0a8c9b00540ab7e7e0c34bfc4]
-   PD    [Mean Plot] [] [2009-11-08 15:39:10] [7369a9baefff1ba9d2171738b4c9faa6]
F   PD    [Mean Plot] [] [2009-11-08 16:21:01] [cf890101a20378422561610e0d41fd9c]
-    D    [Mean Plot] [Mean plot] [2009-11-08 17:11:08] [e2a6b1b31bd881219e1879835b4c60d0]
-   PD      [Mean Plot] [Mean Plot] [2009-12-13 20:09:01] [e2a6b1b31bd881219e1879835b4c60d0]
-   PD    [Mean Plot] [WS 6 Mean Plot Y[t]] [2009-11-09 10:33:45] [83058a88a37d754675a5cd22dab372fc]
-   PD    [Mean Plot] [Workshop 6] [2009-11-09 10:53:10] [3e19a07d230ba260a720e0e03e0f40f2]
-    D      [Mean Plot] [WS6] [2009-11-15 14:12:34] [9f35ad889e41dd0c9322ca60d75b9f47]
-   PD    [Mean Plot] [Mean Plot icp] [2009-11-09 12:26:45] [134dc66689e3d457a82860db6471d419]
-   PD    [Mean Plot] [Mean Plot icp] [2009-11-09 12:26:45] [134dc66689e3d457a82860db6471d419]
- RM        [Standard Deviation Plot] [standard deviatio...] [2009-11-14 10:49:56] [ba905ddf7cdf9ecb063c35348c4dab2e]

[Truncated]
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Dataseries X:
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




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53038&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53038&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53038&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'RServer@AstonUniversity' @ vre.aston.ac.uk



Parameters (Session):
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()