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Description of Statistical Computation

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 computationThu, 27 Nov 2014 21:05:28 +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/Nov/27/t14171223462o55i5rmga8ofpw.htm/, Retrieved Sun, 19 May 2024 19:40:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=260678, Retrieved Sun, 19 May 2024 19:40:23 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Boxplot and Trimmed Means] [Care Age 10 Data] [2009-10-26 09:01:50] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Boxplot and Trimmed Means] [Care Age 7 Data] [2009-10-26 18:36:29] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P     [CARE Data - Boxplots and Scatterplot Matrix] [CARE Data] [2010-10-19 14:16:27] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM        [CARE Data - Boxplots and Scatterplot Matrix] [CARE data - works...] [2011-10-17 10:23:12] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMP         [Boxplot and Trimmed Means] [CARE Study Age 7 ] [2013-10-17 12:59:45] [34296d8f7657c52ed60d5bff9133afec]
- RM            [Boxplot and Trimmed Means] [Original Year 7 data] [2014-10-26 16:12:17] [b818c7d3cfa638eaede87011ae551f78]
-   PD              [Boxplot and Trimmed Means] [] [2014-11-27 21:05:28] [b7e74102105e785bd416a2eeb144a593] [Current]
-   P                 [Boxplot and Trimmed Means] [] [2014-11-27 21:19:16] [b818c7d3cfa638eaede87011ae551f78]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.8	5	4.4	4.6	4.8	4.6
5.4	5.4	4.2	5.6	4.2	4
6	5.6	5.2	4	4.6	4.8
6	5.6	5.2	5	4.8	4
4	5.4	4.4	4.4	4.6	5
6	6	5.5	6	6.2	5
4.2	4	4	4	4.4	4
4.2	4.2	4	4.4	4.2	4
4.2	4.6	4	4.6	4	4.4
4	4.2	3.8	4	4.2	4
4.6	4.2	4	4.8	4.4	4
5.666666667	4.666666667	5.25	5.333333333	5.2	5
3.8	3.6	3.6	4.4	3.8	3.8
4.8	5	4.4	5.2	5.2	4.6
4.2	4.6	4	5.2	4.6	4
4	4	4.4	4	4.2	4.6
5.4	5.8	4.333333333	5.2	5.4	4.666666667
4.6	5.8	4.6	4.8	4.6	4
4	4	4	4	4.4	4
4.4	5.4	4.4	4.4	5	4.4
5	4.8	5	5.6	4.8	4.8
5.4	5.8	5.2	6	6.2	5.8
5.2	5.4	5.2	4.8	5.2	4.6
4.4	4.8	4.6	4.2	4.6	4.75
4	4.6	4.6	4	4.6	5
3.4	4.6	2.333333333	2.8	4.2	2.75
4.4	4	4	4.8	4	4
4	4	3.8	4.2	4.6	3.8
4.4	4.8	4	4.8	4.6	4.4
4.4	5	4.6	5.2	5	4.8
4	4	4.75	4.6	4.6	4.25
4.8	5.2	4.4	4.4	5.6	4.4
4	4	4	4	4	4
4	4.4	4	3.6	3.8	4.5
5	5.6	5.2	4.6	5.8	5
4	4.6	3.8	4	4.2	3.5
3.4	2.2	2.5	2.2	3.4	2
4	4	3.2	4	3.8	4.4
5.4	4.6	4.2	5.6	4.8	4.4
4.2	4.2	4	3.6	4.2	4.25
4	4	3.25	4	4	3.25
5.6	5	4.2	5.4	5	4.2
4.8	5	4.75	5	5	4.75
4.4	4.8	4.4	4.4	4.6	4.4
4.6	5	4	4.6	5	4
4	3.8	4.2	3.8	3.8	4.2
5.2	4.6	4	4.25	5	5
4.8	4.2	4.2	4.6	4.8	4.6
4.6	5	4.4	5.2	5	4.4
4	4	4	4	4.2	4
4.2	5.2	4.6	4.2	4.8	4.4
4.6	4.8	4.4	4.2	4.6	4.5
4.4	4.2	4	4.6	5	5.2
5	5	4.8	5.6	5	4.4
5	4.2	2.25	5.4	4	3.25
4	4	4.8	4	4	4.6
3.8	3.2	3.75	3.6	3.2	3.75
5.2	6.2	5.6	4.4	5.2	5
4.2	5.6	4.2	4.6	4.6	3.8
4.4	4.6	4.2	4.4	3.6	4
4.2	5.2	5	4	4.8	5.4
6	6	5.8	5	4.8	5
4.8	4.8	5	4.8	4.8	5
4	4	4	4	4	4.2
4.4	4.4	4.4	4.6	5	4.4
4	4.4	4.4	4	4.4	4
4.8	4.8	4.4	5	5.2	4.6
4.8	4.6	4.4	4.2	4	4.2
5.6	6.4	5.8	4.8	5.6	5.2
6	6	6	6.8	7	6.4
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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=260678&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 Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=260678&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=260678&T=0

As an alternative you can also use a QR Code:  
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 Ronald Aylmer Fisher' @ fisher.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
compmemomean44.24.44.85
compattenmean44.24.655.2
compappliedmean444.24.44.8
Specmemmean44.24.44.85
specattenmean44.24.64.85
specappliedmean 444.254.54.8

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
compmemomean & 4 & 4.2 & 4.4 & 4.8 & 5 \tabularnewline
compattenmean & 4 & 4.2 & 4.6 & 5 & 5.2 \tabularnewline
compappliedmean & 4 & 4 & 4.2 & 4.4 & 4.8 \tabularnewline
Specmemmean & 4 & 4.2 & 4.4 & 4.8 & 5 \tabularnewline
specattenmean & 4 & 4.2 & 4.6 & 4.8 & 5 \tabularnewline
specappliedmean
 & 4 & 4 & 4.25 & 4.5 & 4.8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=260678&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]4[/C][C]4.2[/C][C]4.4[/C][C]4.8[/C][C]5[/C][/ROW]
[ROW][C]compattenmean[/C][C]4[/C][C]4.2[/C][C]4.6[/C][C]5[/C][C]5.2[/C][/ROW]
[ROW][C]compappliedmean[/C][C]4[/C][C]4[/C][C]4.2[/C][C]4.4[/C][C]4.8[/C][/ROW]
[ROW][C]Specmemmean[/C][C]4[/C][C]4.2[/C][C]4.4[/C][C]4.8[/C][C]5[/C][/ROW]
[ROW][C]specattenmean[/C][C]4[/C][C]4.2[/C][C]4.6[/C][C]4.8[/C][C]5[/C][/ROW]
[ROW][C]specappliedmean
[/C][C]4[/C][C]4[/C][C]4.25[/C][C]4.5[/C][C]4.8[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=260678&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=260678&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
compmemomean44.24.44.85
compattenmean44.24.655.2
compappliedmean444.24.44.8
Specmemmean44.24.44.85
specattenmean44.24.64.85
specappliedmean 444.254.54.8






Boxplot Notches
Variablelower boundmedianupper bound
compmemomean4.274.44.53
compattenmean4.434.64.77
compappliedmean4.124.24.28
Specmemmean4.274.44.53
specattenmean4.474.64.73
specappliedmean 4.154.254.35

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
compmemomean & 4.27 & 4.4 & 4.53 \tabularnewline
compattenmean & 4.43 & 4.6 & 4.77 \tabularnewline
compappliedmean & 4.12 & 4.2 & 4.28 \tabularnewline
Specmemmean & 4.27 & 4.4 & 4.53 \tabularnewline
specattenmean & 4.47 & 4.6 & 4.73 \tabularnewline
specappliedmean
 & 4.15 & 4.25 & 4.35 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=260678&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]4.27[/C][C]4.4[/C][C]4.53[/C][/ROW]
[ROW][C]compattenmean[/C][C]4.43[/C][C]4.6[/C][C]4.77[/C][/ROW]
[ROW][C]compappliedmean[/C][C]4.12[/C][C]4.2[/C][C]4.28[/C][/ROW]
[ROW][C]Specmemmean[/C][C]4.27[/C][C]4.4[/C][C]4.53[/C][/ROW]
[ROW][C]specattenmean[/C][C]4.47[/C][C]4.6[/C][C]4.73[/C][/ROW]
[ROW][C]specappliedmean
[/C][C]4.15[/C][C]4.25[/C][C]4.35[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=260678&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=260678&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Boxplot Notches
Variablelower boundmedianupper bound
compmemomean4.274.44.53
compattenmean4.434.64.77
compappliedmean4.124.24.28
Specmemmean4.274.44.53
specattenmean4.474.64.73
specappliedmean 4.154.254.35






Boxplot Means
Variabletrimmed meanunbiased SD
compmemomean4.420.33
compattenmean4.60.37
compappliedmean4.250.24
Specmemmean4.470.34
specattenmean4.550.3
specappliedmean 4.270.26

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
compmemomean & 4.42 & 0.33 \tabularnewline
compattenmean & 4.6 & 0.37 \tabularnewline
compappliedmean & 4.25 & 0.24 \tabularnewline
Specmemmean & 4.47 & 0.34 \tabularnewline
specattenmean & 4.55 & 0.3 \tabularnewline
specappliedmean
 & 4.27 & 0.26 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=260678&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]4.42[/C][C]0.33[/C][/ROW]
[ROW][C]compattenmean[/C][C]4.6[/C][C]0.37[/C][/ROW]
[ROW][C]compappliedmean[/C][C]4.25[/C][C]0.24[/C][/ROW]
[ROW][C]Specmemmean[/C][C]4.47[/C][C]0.34[/C][/ROW]
[ROW][C]specattenmean[/C][C]4.55[/C][C]0.3[/C][/ROW]
[ROW][C]specappliedmean
[/C][C]4.27[/C][C]0.26[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=260678&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=260678&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Boxplot Means
Variabletrimmed meanunbiased SD
compmemomean4.420.33
compattenmean4.60.37
compappliedmean4.250.24
Specmemmean4.470.34
specattenmean4.550.3
specappliedmean 4.270.26


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = TRUE ; par3 = 20 ;
Parameters (R input):
par1 = 2 ; par2 = TRUE ; par3 = 20 ;
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')