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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_meanplot.wasp
Title produced by softwareMean Plot
Date of computationMon, 12 Aug 2013 09:17:25 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Aug/12/t1376313489t7hvzhxhvitu8si.htm/, Retrieved Sat, 27 Apr 2024 16:56:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211029, Retrieved Sat, 27 Apr 2024 16:56:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsAnthony Van Dyck
Estimated Impact124

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Tijdreeks 1 - stap 2] [2013-08-12 11:07:04] [c4bfab449d963e708b9482b0c0d301bf]
-   P   [Univariate Data Series] [Tijdreeks A - Stap 2] [2013-08-12 11:17:51] [fffbdc2eb6bf36a612a50d50ad291a0a]
- RMP     [Histogram] [Tijdreeks A - Stap 3] [2013-08-12 11:22:38] [fffbdc2eb6bf36a612a50d50ad291a0a]
- R P       [Histogram] [Tijdreeks A -stap 5] [2013-08-12 11:38:26] [c4bfab449d963e708b9482b0c0d301bf]
-   P         [Histogram] [Tijdreeks A -stap 5] [2013-08-12 11:42:06] [c4bfab449d963e708b9482b0c0d301bf]
- RMP           [Harrell-Davis Quantiles] [Tijdreeks A - sta...] [2013-08-12 12:35:57] [fffbdc2eb6bf36a612a50d50ad291a0a]
- R P             [Harrell-Davis Quantiles] [Tijdreeks A - sta...] [2013-08-12 12:48:29] [c4bfab449d963e708b9482b0c0d301bf]
- RMP                 [Mean Plot] [Tijdreeks A - sta...] [2013-08-12 13:17:25] [946b987ea445738c2c70467dba74cc4f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
36439
36368
36290
36147
37615
37543
36439
35705
35777
35777
35848
35998
35998
35335
35043
35335
36368
36218
34822
33640
33419
32977
33276
33640
33497
33198
32614
33198
33718
33568
31873
31139
30405
29814
29743
30184
29593
29372
29151
30405
30548
29814
27826
26943
25547
24955
25247
25689
25689
25326
25247
26430
27385
26943
25468
24735
23189
22234
22968
23702
23702
22747
22676
23922
24735
24442
22968
22013
19947
19142
19434
20688
20759
18921
19584
21201
21935
21493
19506
18109
16492
15238
15751
16855
16563
14946
15459
17076
17960
17447
15459
14576
13251
11854
12075
13179
13322
11997
12218
14063
14504
13764
11042
9646
7801
5963
6554
7359
7217
5813
6625
8613
9496
9055
7288
5892
4417
2721
3021
3534

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 & 5 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211029&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]5 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=211029&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211029&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 time5 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net


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()