Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_meanplot.wasp
Title produced by softwareMean Plot
Date of computationFri, 07 Aug 2015 15:32:20 +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/2015/Aug/07/t1438957954m84t4cbjfh4hqo6.htm/, Retrieved Wed, 15 May 2024 09:32:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279903, Retrieved Wed, 15 May 2024 09:32:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact210
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [] [2014-10-04 09:51:16] [3d50c3f1d1505d45371c80c331b9aa00]
-    D  [Notched Boxplots] [] [2015-08-03 11:42:45] [74be16979710d4c4e7c6647856088456]
- RMP     [Harrell-Davis Quantiles] [] [2015-08-07 13:17:48] [74be16979710d4c4e7c6647856088456]
- R         [Harrell-Davis Quantiles] [] [2015-08-07 13:20:06] [74be16979710d4c4e7c6647856088456]
- RMP           [Mean Plot] [] [2015-08-07 14:32:20] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMP             [(Partial) Autocorrelation Function] [] [2015-08-07 15:26:33] [74be16979710d4c4e7c6647856088456]
- RMP             [(Partial) Autocorrelation Function] [] [2015-08-07 16:00:37] [74be16979710d4c4e7c6647856088456]
- RM              [Standard Deviation Plot] [] [2015-08-07 16:22:43] [74be16979710d4c4e7c6647856088456]
- RM              [Standard Deviation-Mean Plot] [] [2015-08-07 16:54:54] [74be16979710d4c4e7c6647856088456]
- RMP               [Classical Decomposition] [] [2015-08-10 06:43:53] [74be16979710d4c4e7c6647856088456]
- RMP               [Exponential Smoothing] [] [2015-08-10 06:56:42] [74be16979710d4c4e7c6647856088456]
- RMPD              [Univariate Data Series] [] [2015-08-10 07:12:59] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
3469648.00
3456726.00
3443622.00
3416504.00
3684772.00
3670576.00
3469648.00
3336060.00
3348982.00
3348982.00
3363360.00
3389204.00
3429426.00
3429426.00
3403582.00
3336060.00
3684772.00
3737916.00
3657654.00
3469648.00
3550092.00
3429426.00
3483844.00
3509870.00
3536988.00
3469648.00
3483844.00
3389204.00
3684772.00
3778138.00
3697876.00
3550092.00
3710798.00
3536988.00
3697876.00
3684772.00
3724994.00
3577210.00
3737916.00
3724994.00
3966144.00
3911726.00
3697876.00
3590132.00
3737916.00
3536988.00
3684772.00
3710798.00
3765216.00
3644732.00
3710798.00
3751020.00
3898804.00
3778138.00
3617432.00
3443622.00
3604510.00
3162250.00
3376282.00
3496766.00
3617432.00
3443622.00
3443622.00
3443622.00
3536988.00
3403582.00
3228498.00
3081988.00
3188276.00
2773316.00
3027570.00
3175354.00
3202472.00
3054688.00
3067610.00
3027570.00
3162250.00
3067610.00
2881060.00
2746198.00
2974244.00
2479022.00
2800616.00
2947126.00
2947126.00
2773316.00
2612610.00
2599688.00
2746198.00
2612610.00
2358538.00
2183454.00
2371460.00
1929382.00
2331238.00
2545088.00
2612610.00
2464826.00
2278094.00
2411682.00
2464826.00
2424604.00
2022566.00
1836016.00
1969422.00
1567566.00
1982526.00
2130310.00
2250794.00
2049866.00
1861860.00
1969422.00
2022566.00
1916278.00
1514422.00
1339338.00
1500044.00
1057966.00
1540266.00
1836016.00




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' @ wold.wessa.net

\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' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279903&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' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279903&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279903&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' @ wold.wessa.net



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()