## Free Statistics

of Irreproducible Research!

Author's title
Author*The author of this computation has been verified*
R Software Modulerwasp_sdplot.wasp
Title produced by softwareStandard Deviation Plot
Date of computationWed, 01 Feb 2012 12:16:09 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/01/t1328116593j355dc3bjyirh0h.htm/, Retrieved Thu, 07 Jul 2022 14:35:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=161608, Retrieved Thu, 07 Jul 2022 14:35:39 +0000
QR Codes:     Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Mean Plot] [workshop 3] [2007-10-26 12:14:28] [e9ffc5de6f8a7be62f22b142b5b6b1a8]
F RM D  [Kendall tau Correlation Matrix] [] [2008-11-06 23:58:35] [13aa3097ce898f117c0eb9b0e4ce3070]
-         [Kendall tau Correlation Matrix] [Kendall tau Corre...] [2008-11-07 08:36:24] [17bd4671b42d569d890f7246b2ee4ecc]
- RM          [Standard Deviation Plot] [] [2012-02-01 17:16:09] [dbfb5bf628f59f553390e0387149454c] [Current]
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Dataseries X:
4.2	4.8	20.8	0.9	39.6
2.6	-4.2	17.1	0.85	36.1
3	1.6	22.3	0.83	34.4
3.8	5.2	25.1	0.84	33.4
4	9.2	27.7	0.85	34.8
3.5	4.6	24.9	0.83	33.7
4.1	10.6	29.5	0.83	36.3

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161608&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161608&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161608&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 1 seconds R Server 'Gertrude Mary Cox' @ cox.wessa.net

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))ari <- array(0,dim=par1)j <- 0for (i in 1:n){j = j + 1ari[j] = ari[j] + 1arr[j,ari[j]] <- x[i]if (j == par1) j = 0}ariarrarr.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()