## 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 computationThu, 26 Nov 2020 15:49:43 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2020/Nov/26/t1606402248pm53uibm55fld90.htm/, Retrieved Wed, 21 Apr 2021 08:28:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319305, Retrieved Wed, 21 Apr 2021 08:28:02 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsoefening tijdens de les
Estimated Impact21
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Mean Plot] [Mean Plot= oefeni...] [2020-11-26 14:49:43] [48248721bdee0a9b2d5a1db025002cf2] [Current]
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Dataseries X:
21
22
29
7
24
26
19
22
13
25
18
24
21
22
6
2
30
20
23
28
23
1
4
10
21
6
16
17
21
10
20
24
0
4
7
18
7
9
27
26
15
3
17
19
26
16
10
12
26
21
8
17
8
20
12
21
18
14
1
19
15
5
10
21
5
14
11
18
6
4
15
4
23
1
6
14
27
27
25
5
0
8
25
26
30
25
7
12
6
3
20
27
15
29
15
1
23
4
17
9
1
14
22
30
14
24
22
24
7
5
8
18
14
9
23
9
7
19
18
29
17
16
18
28
3
16
17
10
11
22
19
8
29
2
20
13
18
4
6
4


 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 Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319305&T=0

[TABLE]
[ROW]
 Summary of computational transaction[/C][/ROW] [ROW] Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW] Raw Output[/C] view raw output of R engine [/C][/ROW] [ROW] Computing time[/C] 2 seconds[/C][/ROW] [ROW] R Server[/C] Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319305&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319305&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 Big Analytics Cloud Computing Center

par1 <- as.numeric(par1)x <- na.omit(x)(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()