## Free Statistics

of Irreproducible Research!

Author's title
Author*The author of this computation has been verified*
R Software Modulerwasp_meanplot.wasp
Title produced by softwareMean Plot
Date of computationWed, 21 Dec 2011 19:58:52 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/21/t1324515817r3zg5t54mpdrtnz.htm/, Retrieved Wed, 27 Sep 2023 09:28:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159155, Retrieved Wed, 27 Sep 2023 09:28:04 +0000
QR Codes:     Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact62
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [HPC Retail Sales] [2008-03-02 15:42:48] [74be16979710d4c4e7c6647856088456]
- RMPD  [Classical Decomposition] [] [2011-11-25 14:59:47] [493236dcc414c5f9e1823f06b33a5ad6]
- R       [Classical Decomposition] [] [2011-12-21 21:40:38] [493236dcc414c5f9e1823f06b33a5ad6]
- RM        [Central Tendency] [] [2011-12-22 00:40:07] [493236dcc414c5f9e1823f06b33a5ad6]
- RM D          [Mean Plot] [] [2011-12-22 00:58:52] [75a32e1bc492240bc1028714aca23077] [Current]
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Dataseries X:
1,0622
1,0773
1,0807
1,0848
1,1582
1,1663
1,1372
1,1139
1,1222
1,1692
1,1702
1,2286
1,2613
1,2646
1,2262
1,1985
1,2007
1,2138
1,2266
1,2176
1,2218
1,249
1,2991
1,3408
1,3119
1,3014
1,3201
1,2938
1,2694
1,2165
1,2037
1,2292
1,2256
1,2015
1,1786
1,1856
1,2103
1,1938
1,202
1,2271
1,277
1,265
1,2684
1,2811
1,2727
1,2611
1,2881
1,3213
1,2999
1,3074
1,3242
1,3516
1,3511
1,3419
1,3716
1,3622
1,3896
1,4227
1,4684
1,457

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'Gwilym Jenkins' @ jenkins.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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159155&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159155&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159155&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'Gwilym Jenkins' @ jenkins.wessa.net PNG link Postscript link PDF link PNG link Postscript link PDF link PNG link Postscript link PDF link PNG link Postscript link PDF link PNG link Postscript link PDF link PNG link Postscript link PDF link PNG link Postscript link PDF link

Parameters (Session):
par1 = additive ; par2 = 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 <- 0for (i in 1:n){j = j + 1ari[j] = ari[j] + 1arr[j,ari[j]] <- x[i]darr[j,ari[j]] <- dx[i]if (j == par1) j = 0}ariarrdarrarr.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)) / 2bitmap(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()