FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

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, 07 Dec 2009 06:06:37 -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/2009/Dec/07/t12601912392omdsk6fsw3iz9g.htm/, Retrieved Sun, 05 May 2024 03:35:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64565, Retrieved Sun, 05 May 2024 03:35:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [verbetering] [2009-12-07 13:02:33] [408e92805dcb18620260f240a7fb9d53]
- RMP     [Mean Plot] [verbetering works...] [2009-12-07 13:06:37] [b32ceebc68d054278e6bda97f3d57f91] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.00450750869087398 
-0.0149657506674553 
-0.0220859233394083 
-0.0148439243168503 
0.0676027781490227 
0.0264092299234277 
-0.0116301716341945 
0.0136476387387367 
-0.0197271433713688 
0.0303927147155863 
0.000995418935294206 
-0.00874063700973733 
-0.0231462237863890 
-0.00377238720197872 
0.00120873614259887 
-0.0176359614054821 
0.00250200103515695 
-0.0282901697726092 
-0.00423879675659204 
0.0230884796585779 
-0.00859471068972903 
0.0198693493392492 
-0.0093442264177522 
-0.0258281935447543 
0.0198614750918193 
-0.0122547342511849 
-0.00589049815189684 
0.0298004421068244 
0.0434323456332011 
-0.0223164871309812 
0.0154280097077713 
0.0156548149573578 
0.0365282768534479 
0.0241846907151588 
-0.0322215315404314 
-0.0141831668172313 
0.0254232968852305 
-0.0193736352949016 
-0.048536332661388 
-0.0766717425093701 
0.0281974074828454 
0.00917312366714304 
0.0616193814776786 
-0.0503369625485599 
-0.0070958483480044 
0.0252260185757131 
-0.0147649614724515 
0.0297338279951919 
0.0427693034085115 
0.0334986515495981 
-0.00431066374073932 
0.0483508046074947 
-0.0289633986573534 
0.0411760286974008 
0.00490436151035459 
0.00572516695084428 
0.0020827414405662 
0.0152702987490803 
0.0226514137977885 
0.0169257233733748 
0.00183213307281401 
0.0147224276771016 
-0.00123533731905361 
0.000655329694370428 
-0.00854895738497048 
-0.00289709050455367 
0.0236354130433993 
0.023075931765511 
0.0289109594323294 
-0.0376782888435601 
0.00381606701300569 
0.0202008973428546 
-0.00412021969633953 
0.0418280922509324 
0.067769119091173 
-0.0525211864056023 
0.0247371173448568 
0.00923061642650255 
0.0112743669564025 
-0.000125546542039254 
-0.0227570917899331 
0.00893231402208485 
-0.0388414437336418 
-0.0884921733798761 
-0.0686977274158266

Tables (Output of Computation)





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=64565&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=64565&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64565&T=0

As an alternative you can also use a QR Code:  
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


Figures (Output of Computation)

Input Parameters & R Code

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()