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Author's title

Author*Unverified author*
R Software Modulerwasp_sdplot.wasp
Title produced by softwareStandard Deviation Plot
Date of computationSun, 30 Jul 2017 18:14:48 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Jul/30/t1501431355hoelfz3q795s770.htm/, Retrieved Thu, 16 May 2024 02:15:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=306818, Retrieved Thu, 16 May 2024 02:15:33 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Standard Deviation Plot] [] [2017-07-30 16:14:48] [bb1ebaef39f3ee233240b5c77a617fca] [Current]
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Dataseries X:
6195800.00
6172725.00
6149325.00
6100900.00
6579950.00
6554600.00
6195800.00
5957250.00
5980325.00
5980325.00
6006000.00
6052150.00
6123975.00
6123975.00
6077825.00
5957250.00
6579950.00
6674850.00
6531525.00
6195800.00
6339450.00
6123975.00
6221150.00
6267625.00
6316050.00
6195800.00
6221150.00
6052150.00
6579950.00
6746675.00
6603350.00
6339450.00
6626425.00
6316050.00
6603350.00
6579950.00
6651775.00
6387875.00
6674850.00
6651775.00
7082400.00
6985225.00
6603350.00
6410950.00
6674850.00
6316050.00
6579950.00
6626425.00
6723600.00
6508450.00
6626425.00
6698250.00
6962150.00
6746675.00
6459700.00
6149325.00
6436625.00
5646875.00
6029075.00
6244225.00
6459700.00
6149325.00
6149325.00
6149325.00
6316050.00
6077825.00
5765175.00
5503550.00
5693350.00
4952350.00
5406375.00
5670275.00
5718700.00
5454800.00
5477875.00
5406375.00
5646875.00
5477875.00
5144750.00
4903925.00
5311150.00
4426825.00
5001100.00
5262725.00
5262725.00
4952350.00
4665375.00
4642300.00
4903925.00
4665375.00
4211675.00
3899025.00
4234750.00
3445325.00
4162925.00
4544800.00
4665375.00
4401475.00
4068025.00
4306575.00
4401475.00
4329650.00
3611725.00
3278600.00
3516825.00
2799225.00
3540225.00
3804125.00
4019275.00
3660475.00
3324750.00
3516825.00
3611725.00
3421925.00
2704325.00
2391675.00
2678650.00
1889225.00
2750475.00
3278600.00




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig 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=306818&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=306818&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306818&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 Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center



Parameters (Session):
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.sd <- array(NA,dim=par1)
arr.range <- array(NA,dim=par1)
arr.iqr <- array(NA,dim=par1)
for (j in 1:par1)
{
arr.sd[j] <- sqrt(var(arr[j,],na.rm=TRUE))
arr.range[j] <- max(arr[j,],na.rm=TRUE) - min(arr[j,],na.rm=TRUE)
arr.iqr[j] <- quantile(arr[j,],0.75,na.rm=TRUE) - quantile(arr[j,],0.25,na.rm=TRUE)
}
overall.sd <- sqrt(var(x))
overall.range <- max(x) - min(x)
overall.iqr <- quantile(x,0.75) - quantile(x,0.25)
bitmap(file='plot1.png')
plot(arr.sd,type='b',ylab='S.D.',main='Standard Deviation Plot',xlab='Periodic Index')
mtext(paste('# blocks = ',np))
abline(overall.sd,0)
dev.off()
bitmap(file='plot2.png')
plot(arr.range,type='b',ylab='range',main='Range Plot',xlab='Periodic Index')
mtext(paste('# blocks = ',np))
abline(overall.range,0)
dev.off()
bitmap(file='plot3.png')
plot(arr.iqr,type='b',ylab='IQR',main='Interquartile Range Plot',xlab='Periodic Index')
mtext(paste('# blocks = ',np))
abline(overall.iqr,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.sd,arr.range,arr.iqr))
names(z) <- list('S.D.','Range','IQR')
(boxplot(z,notch=TRUE,col='grey',ylab='Overall Variability',main='Notched Box Plots'))
dev.off()