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Author's title

Author*Unverified author*
R Software Modulerwasp_sdplot.wasp
Title produced by softwareStandard Deviation Plot
Date of computationSat, 12 Aug 2017 17:27:32 +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/Aug/12/t1502551670ldhcl9hqksaek4k.htm/, Retrieved Thu, 09 May 2024 20:14:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=307133, Retrieved Thu, 09 May 2024 20:14:38 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Standard Deviation Plot] [] [2017-08-12 15:27:32] [270a72b021b4bbf70c885af1fd2608d6] [Current]
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Dataseries X:
38327240.00
38147255.00
37964735.00
37587020.00
41323610.00
41125880.00
38327240.00
36466550.00
36646535.00
36646535.00
36846800.00
37206770.00
37767005.00
37767005.00
37407035.00
36466550.00
41323610.00
42063830.00
40945895.00
38327240.00
39447710.00
37767005.00
38524970.00
38887475.00
39265190.00
38327240.00
38524970.00
37206770.00
41323610.00
42624065.00
41506130.00
39447710.00
41686115.00
39265190.00
41506130.00
41323610.00
41883845.00
39825425.00
42063830.00
41883845.00
45242720.00
44484755.00
41506130.00
40005410.00
42063830.00
39265190.00
41323610.00
41686115.00
42444080.00
40765910.00
41686115.00
42246350.00
44304770.00
42624065.00
40385660.00
37964735.00
40205675.00
34045625.00
37026785.00
38704955.00
40385660.00
37964735.00
37964735.00
37964735.00
39265190.00
37407035.00
34968365.00
32927690.00
34408130.00
28628330.00
32169725.00
34228145.00
34605860.00
32547440.00
32727425.00
32169725.00
34045625.00
32727425.00
30129050.00
28250615.00
31426970.00
24529235.00
29008580.00
31049255.00
31049255.00
28628330.00
26389925.00
26209940.00
28250615.00
26389925.00
22851065.00
20412395.00
23031050.00
16873535.00
22470815.00
25449440.00
26389925.00
24331505.00
21730595.00
23591285.00
24331505.00
23771270.00
18171455.00
15573080.00
17431235.00
11833955.00
17613755.00
19672175.00
21350345.00
18551705.00
15933050.00
17431235.00
18171455.00
16691015.00
11093735.00
8655065.00
10893470.00
4735955.00
11453705.00
15573080.00




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=307133&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]3 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=307133&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307133&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 time3 seconds
R ServerBig Analytics Cloud Computing Center



Parameters (Session):
par1 = 484812 ; par2 = 11 ; par3 = 01 ; par4 = 01 ; par5 = 1212 ; par6 = White NoiseWhite Noise ; par7 = 0.950.95 ;
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()