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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 computationWed, 10 Dec 2008 08:03:46 -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/2008/Dec/10/t122892145748pujxmhtgg5gj3.htm/, Retrieved Sun, 19 May 2024 05:13:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31989, Retrieved Sun, 19 May 2024 05:13:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact243

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Mean Plot] [Mean Plot - Uitvoer] [2008-12-10 15:03:46] [c0a347e3519123f7eef62b705326dad9] [Current]
-    D    [Mean Plot] [Mean Plot voor ui...] [2008-12-18 23:25:01] [29747f79f5beb5b2516e1271770ecb47]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18 562,2 
23 184,8 
22 925,8 
21 490,2 
23 243,2 
21 688,7 
21 423,1 
21 211,2 
17 877,4  
20 664,3  
22 160,0  
19 813,6  
17 735,4  
19 640,2  
20 844,4  
19 823,1  
18 594,6  
21 350,6  
18 574,1  
18 924,2  
17 343,4  
19 961,2  
19 932,1  
19 464,6  
16 165,4  
17 574,9  
19 795,4  
19 439,5  
17 170,0  
21 072,4  
17 751,8  
17 515,5  
18 040,3  
19 090,1  
17 746,5  
19 202,1  
15 141,6  
16 258,1  
18 586,5  
17 209,4  
17 838,7  
19 123,5  
16 583,6  
15 991,2  
16 704,4  
17 420,4  
17 872,0  
17 823,2  
13 866,5  
15 912,8  
17 870,5  
15 420,3  
16 379,4  
17 903,9  
15 305,8  
14 583,3  
14 861,0  
14 968,9  
16 726,5  
16 283,6  
11 703,7  
15 101,8  
15 469,7  
14 956,9  
15 370,6  
15 998,1  
14 725,1  
14 768,9  
13 659,6  
15 070,3  
16 943,0  
15 761,3  
12 083,0  
15 023,6  
15 106,5  
15 498,6  
15 258,9  
15 859,4  
14 205,3  
14 291,1  
12 875,1  
14 755,3  
15 873,2  
14 803,0  
12 520,2  
14 568,3  
15 644,8  
15 454,9  
14 254,0  
16 754,8  
14 944,2  
15 044,5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31989&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31989&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31989&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132


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))
ari <- array(0,dim=par1)
j <- 0
for (i in 1:n)
{
j = j + 1
ari[j] = ari[j] + 1
arr[j,ari[j]] <- x[i]
if (j == par1) j = 0
}
ari
arr
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='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()