## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_meanplot.wasp
Title produced by softwareMean Plot
Date of computationSat, 24 Apr 2010 12:30:17 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Apr/24/t12721122980k1tgloi1hwuzsd.htm/, Retrieved Mon, 27 Mar 2023 20:27:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74755, Retrieved Mon, 27 Mar 2023 20:27:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W11
Estimated Impact207
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Datareeks - Insch...] [2010-04-24 12:20:37] [b99a9e8e0bee3918139b00a56dd346b9]
- RMP     [Mean Plot] [Mean plot - Insch...] [2010-04-24 12:30:17] [ad58d474f244f5a111ac648c17d02214] [Current]
-    D      [Mean Plot] [Nieuwe personenwa...] [2011-04-05 18:58:27] [710a0a165f1d24c9c0b116fb90c27a39]
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Dataseries X:
41086
39690
43129
37863
35953
29133
24693
22205
21725
27192
21790
13253
37702
30364
32609
30212
29965
28352
25814
22414
20506
28806
22228
13971
36845
35338
35022
34777
26887
23970
22780
17351
21382
24561
17409
11514
31514
27071
29462
26105
22397
23843
21705
18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 3 seconds R Server 'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74755&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74755&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74755&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 3 seconds R Server 'Sir Ronald Aylmer Fisher' @ 193.190.124.24

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()