Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_sdplot.wasp
Title produced by softwareStandard Deviation Plot
Date of computationTue, 09 Aug 2016 11:45:04 +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/2016/Aug/09/t14707395406bdzae5n3867h9z.htm/, Retrieved Wed, 15 May 2024 22:10:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296131, Retrieved Wed, 15 May 2024 22:10:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [omzet lego technique] [2016-08-08 19:25:41] [74be16979710d4c4e7c6647856088456]
- RMPD  [Harrell-Davis Quantiles] [Harrel-Davis quan...] [2016-08-08 22:07:37] [4c392b130fccc63297597dd6ffb6df17]
- RM D    [(Partial) Autocorrelation Function] [partial autocorre...] [2016-08-09 10:29:16] [4c392b130fccc63297597dd6ffb6df17]
- RM D        [Standard Deviation Plot] [standard deviatio...] [2016-08-09 10:45:04] [d7adcc7732e5b057da1b42af54844e1a] [Current]
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Dataseries X:
2421.21
2378.63
2336.00
2250.79
3113.00
3070.38
2421.21
1990.13
2032.71
2032.71
2075.33
2165.17
1904.92
1644.25
1430.79
1430.79
2250.79
2336.00
1686.83
952.46
1340.96
1340.96
1644.25
1819.29
1776.67
1340.96
1559.04
1473.42
2207.79
2032.71
1340.96
824.25
1298.33
1430.79
1559.04
1729.46
1383.54
1084.92
1213.17
1255.75
2378.63
2378.63
1729.46
1644.25
1904.92
1776.67
2122.58
2553.67
2639.29
2032.71
1861.88
1686.83
2856.96
2942.58
2724.50
2942.58
2899.54
2553.67
2942.58
3373.67
3548.71
3027.79
2681.88
2942.58
4065.42
4411.33
4326.13
4496.50
4453.92
4022.83
4757.21
4932.25
5188.29
4411.33
4108.04
4453.92
5278.13
6012.50
5837.46
5837.46
5923.08
5624.00
6401.42
6401.42
6268.96
5534.17
5666.63
5752.25
6315.79
7050.17
6529.21
6789.92
6571.83
6444.00
7439.08
7221.00
6917.71
6486.63
6917.71
7135.79
7396.04
7741.92
7396.04
7609.50
7349.21
7306.63
8386.88
8476.71
8130.83
7524.29
8041.00
8258.67
8519.33
8907.83
8519.33
8822.63
8690.17
8216.04
9211.08
9211.08




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 3 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296131&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296131&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296131&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net



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()