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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_BoxplotAndScatterplotMatrix.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationTue, 02 Dec 2014 11:52:00 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/02/t1417521139q1z74mtoo3yqjzf.htm/, Retrieved Thu, 31 Oct 2024 23:43:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=262537, Retrieved Thu, 31 Oct 2024 23:43:58 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variability] [Pregnancy and Cog...] [2009-10-24 23:53:36] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD  [Correlation] [Cognition in Preg...] [2011-10-24 17:01:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RM D    [Correlation] [WS7 attention means] [2014-12-02 11:34:27] [b64f0130d062a304b20b771017b7ae9e]
- RMPD        [Boxplot and Trimmed Means] [ws7 matrix ] [2014-12-02 11:52:00] [a976bbc4439ef8580213d58140e7ccb8] [Current]
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Dataseries X:
4	4.2	4	4	4.2	4
4.2	4	4	4.2	4	4
5	5.2	5	5	5.2	5
4.4	4.4	4	5	4.2	4
4.2	4.6	4.2	4.6	4.6	4.2
4.6	4.8	4.4	4.8	4.8	4
4.4	4.2	4	5	4.8	4
4	4	4	4.2	4	4
4	4.2	4	4	4.4	4
4	4	4.2	4	4	4
4.2	5	4.6	3.8	4.6	4.2
4	4	4.4	4.6	4.2	4
5	5.6	4.4	4	4	4
4.2	4	4	4.2	3.8	4
5.4	5.8	5	5.6	6	5.2
4	4.4	4.2	4	5	4.2
6	5.4	5	5.6	5.4	4.8
3.8	4.2	4	3.8	4.2	4
5	5.2	4.8	5	5.4	4.8
4.4	4.6	4	5.4	5.6	5
5	5.2	4.6	5	5.2	4.6
4.4	4.4	4	4.4	4.4	4
5	4.2	4.4	4.4	4.4	4.4
4.2	4	4	4	4.2	4
4.6	3.8	3.4	5.4	4	3.8
5	5.6	5.8	2.2	4.2	4.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262537&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262537&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262537&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 time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
compmemomean3.844.456
compattenmean3.844.45.25.8
compappliedmean3.444.24.65
Specmemmean3.844.455.6
specattenmean3.84.24.456
specappliedmean3.8444.55.2

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
compmemomean & 3.8 & 4 & 4.4 & 5 & 6 \tabularnewline
compattenmean & 3.8 & 4 & 4.4 & 5.2 & 5.8 \tabularnewline
compappliedmean & 3.4 & 4 & 4.2 & 4.6 & 5 \tabularnewline
Specmemmean & 3.8 & 4 & 4.4 & 5 & 5.6 \tabularnewline
specattenmean & 3.8 & 4.2 & 4.4 & 5 & 6 \tabularnewline
specappliedmean & 3.8 & 4 & 4 & 4.5 & 5.2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262537&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]compmemomean[/C][C]3.8[/C][C]4[/C][C]4.4[/C][C]5[/C][C]6[/C][/ROW]
[ROW][C]compattenmean[/C][C]3.8[/C][C]4[/C][C]4.4[/C][C]5.2[/C][C]5.8[/C][/ROW]
[ROW][C]compappliedmean[/C][C]3.4[/C][C]4[/C][C]4.2[/C][C]4.6[/C][C]5[/C][/ROW]
[ROW][C]Specmemmean[/C][C]3.8[/C][C]4[/C][C]4.4[/C][C]5[/C][C]5.6[/C][/ROW]
[ROW][C]specattenmean[/C][C]3.8[/C][C]4.2[/C][C]4.4[/C][C]5[/C][C]6[/C][/ROW]
[ROW][C]specappliedmean[/C][C]3.8[/C][C]4[/C][C]4[/C][C]4.5[/C][C]5.2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262537&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262537&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
Variablelower whiskerlower hingemedianupper hingeupper whisker
compmemomean3.844.456
compattenmean3.844.45.25.8
compappliedmean3.444.24.65
Specmemmean3.844.455.6
specattenmean3.84.24.456
specappliedmean3.8444.55.2







Boxplot Notches
Variablelower boundmedianupper bound
compmemomean4.094.44.71
compattenmean4.034.44.77
compappliedmean4.014.24.39
Specmemmean4.094.44.71
specattenmean4.154.44.65
specappliedmean3.8544.15

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
compmemomean & 4.09 & 4.4 & 4.71 \tabularnewline
compattenmean & 4.03 & 4.4 & 4.77 \tabularnewline
compappliedmean & 4.01 & 4.2 & 4.39 \tabularnewline
Specmemmean & 4.09 & 4.4 & 4.71 \tabularnewline
specattenmean & 4.15 & 4.4 & 4.65 \tabularnewline
specappliedmean & 3.85 & 4 & 4.15 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262537&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]compmemomean[/C][C]4.09[/C][C]4.4[/C][C]4.71[/C][/ROW]
[ROW][C]compattenmean[/C][C]4.03[/C][C]4.4[/C][C]4.77[/C][/ROW]
[ROW][C]compappliedmean[/C][C]4.01[/C][C]4.2[/C][C]4.39[/C][/ROW]
[ROW][C]Specmemmean[/C][C]4.09[/C][C]4.4[/C][C]4.71[/C][/ROW]
[ROW][C]specattenmean[/C][C]4.15[/C][C]4.4[/C][C]4.65[/C][/ROW]
[ROW][C]specappliedmean[/C][C]3.85[/C][C]4[/C][C]4.15[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262537&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262537&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
Variablelower boundmedianupper bound
compmemomean4.094.44.71
compattenmean4.034.44.77
compappliedmean4.014.24.39
Specmemmean4.094.44.71
specattenmean4.154.44.65
specappliedmean3.8544.15







Boxplot Means
Variabletrimmed meanunbiased SD
compmemomean4.50.53
compattenmean4.580.6
compappliedmean4.320.49
Specmemmean4.470.73
specattenmean4.570.59
specappliedmean4.260.4

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
compmemomean & 4.5 & 0.53 \tabularnewline
compattenmean & 4.58 & 0.6 \tabularnewline
compappliedmean & 4.32 & 0.49 \tabularnewline
Specmemmean & 4.47 & 0.73 \tabularnewline
specattenmean & 4.57 & 0.59 \tabularnewline
specappliedmean & 4.26 & 0.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262537&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]compmemomean[/C][C]4.5[/C][C]0.53[/C][/ROW]
[ROW][C]compattenmean[/C][C]4.58[/C][C]0.6[/C][/ROW]
[ROW][C]compappliedmean[/C][C]4.32[/C][C]0.49[/C][/ROW]
[ROW][C]Specmemmean[/C][C]4.47[/C][C]0.73[/C][/ROW]
[ROW][C]specattenmean[/C][C]4.57[/C][C]0.59[/C][/ROW]
[ROW][C]specappliedmean[/C][C]4.26[/C][C]0.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262537&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262537&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
Variabletrimmed meanunbiased SD
compmemomean4.50.53
compattenmean4.580.6
compappliedmean4.320.49
Specmemmean4.470.73
specattenmean4.570.59
specappliedmean4.260.4



Parameters (Session):
par1 = 3 ; par2 = TRUE ; par3 = 0 ;
Parameters (R input):
par1 = 3 ; par2 = TRUE ; par3 = 0 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1) #colour
par2<- as.logical(par2) # Notches ?
par3<-as.numeric(par3) # % trim
if(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)+1
hitrm<-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<-y1
z <- 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(unlist(z[i]), trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(unlist(z[i]), na.rm=TRUE), digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')