## Free Statistics

of Irreproducible Research!

Author's title
Author*The author of this computation has been verified*
R Software ModuleIan.Hollidayrwasp_CARE Data Boxplot.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationWed, 03 Mar 2010 15:40:18 +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/2010/Mar/03/t1267627286gdx3wk3b0plep03.htm/, Retrieved Mon, 20 Mar 2023 11:59:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73874, Retrieved Mon, 20 Mar 2023 11:59:31 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Aston University Statistical Software] [Reddy_Moores Wilc...] [2009-11-02 09:28:43] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD    [Boxplot and Trimmed Means] [boxplot sleep drug] [2010-03-03 14:40:18] [8c588b0a808ac453b15a44f868fd30e2] [Current]
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Dataseries X:
0.7	1.9
-1.6	0.8
-0.2	1.1
-1.2	0.1
-0.1	-0.1
3.4	4.4
3.7	5.5
0.8	1.6
0	4.6
2	3.4

 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 'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73874&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73874&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73874&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 'RServer@AstonUniversity' @ vre.aston.ac.uk

 Boxplot statistics Variable lower whisker lower hinge median upper hinge upper whisker Ctrl -1.6 -0.2 0.35 2 3.7 Drug -0.1 0.8 1.75 4.4 5.5

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Ctrl & -1.6 & -0.2 & 0.35 & 2 & 3.7 \tabularnewline
Drug & -0.1 & 0.8 & 1.75 & 4.4 & 5.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73874&T=1

[TABLE]
[ROW][C]Boxplot statistics[/C][/ROW]
[ROW][C]Variable[/C][C]lower whisker[/C][C]lower hinge[/C][C]median[/C][C]upper hinge[/C][C]upper whisker[/C][/ROW]
[ROW][C]Ctrl[/C][C]-1.6[/C][C]-0.2[/C][C]0.35[/C][C]2[/C][C]3.7[/C][/ROW]
[ROW][C]Drug[/C][C]-0.1[/C][C]0.8[/C][C]1.75[/C][C]4.4[/C][C]5.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73874&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73874&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Boxplot statistics Variable lower whisker lower hinge median upper hinge upper whisker Ctrl -1.6 -0.2 0.35 2 3.7 Drug -0.1 0.8 1.75 4.4 5.5

 Boxplot Notches Variable lower bound median upper bound Ctrl -0.75 0.35 1.45 Drug -0.05 1.75 3.55

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Ctrl & -0.75 & 0.35 & 1.45 \tabularnewline
Drug & -0.05 & 1.75 & 3.55 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73874&T=2

[TABLE]
[ROW][C]Boxplot Notches[/C][/ROW]
[ROW][C]Variable[/C][C]lower bound[/C][C]median[/C][C]upper bound[/C][/ROW]
[ROW][C]Ctrl[/C][C]-0.75[/C][C]0.35[/C][C]1.45[/C][/ROW]
[ROW][C]Drug[/C][C]-0.05[/C][C]1.75[/C][C]3.55[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73874&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73874&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Boxplot Notches Variable lower bound median upper bound Ctrl -0.75 0.35 1.45 Drug -0.05 1.75 3.55

 Boxplot Means Variable trimmed mean unbiased SD Ctrl 0.75 1.79 Drug 2.33 2

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
Ctrl & 0.75 & 1.79 \tabularnewline
Drug & 2.33 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73874&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]Ctrl[/C][C]0.75[/C][C]1.79[/C][/ROW]
[ROW][C]Drug[/C][C]2.33[/C][C]2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73874&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73874&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Boxplot Means Variable trimmed mean unbiased SD Ctrl 0.75 1.79 Drug 2.33 2

par1 <- as.numeric(par1) #colourpar2<- as.logical(par2) # Notches ?par3<-as.numeric(par3) # % trimif(par3>45){par3<-45;warning('trim limited to 45%')}if(par3<0){par3<-0;warning('negative trim makes no sense. Trim is zero.')}lotrm<-as.integer(length(y[1,])*par3/100)+1hitrm<-as.integer(length(y[1,])*(100-par3)/100)y1<-array(dim=c(dim(y)[1], hitrm-lotrm+1), dimnames=list(dimnames(y)[[1]], 1:(hitrm-lotrm+1) ))for(i in 1:dim(y)[1]){tmp<-order(y[i,])y1[i,]<- y[i, tmp[lotrm:hitrm] ]}bitmap(file='test2.png')pairs(t(y))dev.off()y<-y1z <- as.data.frame(t(y))bitmap(file='test1.png')(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=par2,col=par1))dev.off()load(file='createtable')a<-table.start()a<-table.row.start(a)a<-table.element(a,hyperlink('overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Variable',1,TRUE)a<-table.element(a,hyperlink('lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)a<-table.element(a,hyperlink('lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)a<-table.element(a,hyperlink('central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)a<-table.element(a,hyperlink('upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)a<-table.element(a,hyperlink('upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)a<-table.row.end(a)for (i in 1:length(y[,1])){a<-table.row.start(a)a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)for (j in 1:5){a<-table.element(a,round(r$stats[j,i], digits=2))}a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable.tab')if (par2){a<-table.start()a<-table.row.start(a)a<-table.element(a,'Boxplot Notches',4,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Variable',1,TRUE)a<-table.element(a,'lower bound',1,TRUE)a<-table.element(a,'median',1,TRUE)a<-table.element(a,'upper bound',1,TRUE)a<-table.row.end(a)for (i in 1:length(y[,1])){a<-table.row.start(a)a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)a<-table.element(a,round(r$conf[1,i], digits=2))a<-table.element(a, round(r$stats[3,i], digits=2))a<-table.element(a,round(r$conf[2,i], digits=2))a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable1.tab')}a<-table.start()a<-table.row.start(a)a<-table.element(a,'Boxplot Means',4,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Variable',1,TRUE)a<-table.element(a,hyperlink('trimmed_mean.htm','trimmed mean','definition of trimmed mean'),1,TRUE)a<-table.element(a,hyperlink('unbiased1.htm','unbiased SD','definition of unbiased SD'),1,TRUE)a<-table.row.end(a)for (i in 1:length(y[,1])){a<-table.row.start(a)a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)a<-table.element(a,round(mean(z[i], trim=par3/100, na.rm=TRUE), digits=2))a<-table.element(a,round(sd(z[i], na.rm=TRUE), digits=2))a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable2.tab')