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Author's title

Author

*Unverified author*

R Software Module

Ian.Hollidayrwasp_Reddy-Moores Data Boxplot V2.0.wasp

Title produced by software

Boxplot and Trimmed Means

Date of computation

Wed, 13 Oct 2010 15:32:56 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/13/t12869839209me6mevkf0tgbw8.htm/, Retrieved Wed, 05 Nov 2025 08:45:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83135, Retrieved Wed, 05 Nov 2025 08:45:21 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

414

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Boxplot and Trimmed Means] [Reddy Moores Boxp...] [2010-10-12 16:37:57] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Boxplot and Trimmed Means] [Reddy-Moores Plac...] [2010-10-13 09:46:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P     [Boxplot and Trimmed Means] [Boxplot 5%] [2010-10-13 15:21:51] [571c005f5a0ec004107e098ce4a713be]
-   P       [Boxplot and Trimmed Means] [Boxplot 10%  ] [2010-10-13 15:27:26] [571c005f5a0ec004107e098ce4a713be]
-   P           [Boxplot and Trimmed Means] [Boxplot 20%] [2010-10-13 15:32:56] [74df53188d447c7686da5c18ff0dfe09] [Current]

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Dataseries X:

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Histogram

Boxplots

'yes'	70.80
'yes'	69.60
'yes'	69.87
'yes'	67.47
'yes'	67.60
'yes'	67.13
'yes'	66.27
'yes'	66.73
'yes'	68.07
'yes'	67.80
'yes'	64.80
'yes'	64.60
'yes'	64.20
'yes'	64.20
'yes'	63.67
'yes'	61.00
'yes'	59.67
'yes'	59.67
'yes'	59.80
'yes'	60.73
'yes'	59.40
'yes'	58.07
'yes'	57.47
'yes'	70.73
'yes'	72.87
'yes'	66.00
'yes'	66.07
'yes'	66.00
'yes'	66.27
'yes'	64.00
'yes'	63.67
'yes'	63.73
'yes'	63.33
'yes'	63.53
'yes'	63.53
'yes'	62.87
'yes'	59.53
'yes'	62.80
'yes'	60.80
'yes'	59.80
'yes'	56.67
'yes'	57.67
'yes'	58.40
'yes'	55.47
'yes'	56.20
'yes'	71.53
'yes'	68.67
'yes'	65.67
'yes'	66.73
'yes'	67.33
'yes'	66.73
'yes'	66.87
'yes'	65.80
'yes'	64.73
'yes'	65.47
'yes'	63.60
'yes'	64.07
'yes'	64.67
'yes'	63.73
'yes'	62.53
'yes'	61.93
'yes'	62.67
'yes'	62.80
'yes'	61.33
'yes'	62.60
'yes'	59.13
'yes'	61.27
'yes'	59.47
'yes'	57.87
'yes'	59.73
'yes'	61.40
'yes'	58.80
'yes'	58.33
'yes'	57.47
'yes'	57.13
'yes'	55.00
'yes'	51.53
'yes'	72.73
'yes'	73.00
'yes'	70.80
'yes'	70.07
'yes'	71.67
'yes'	71.07
'yes'	70.67
'yes'	70.73
'yes'	70.73
'yes'	68.60
'yes'	69.60
'yes'	66.47
'yes'	67.07
'yes'	68.67
'yes'	66.93
'yes'	65.93
'yes'	68.87
'yes'	66.53
'yes'	65.80
'yes'	66.60
'yes'	66.00
'yes'	65.00
'yes'	66.80
'yes'	65.60
'yes'	66.00
'yes'	65.67
'yes'	64.67
'yes'	65.07
'yes'	64.67
'yes'	65.07
'yes'	65.20
'yes'	64.87
'yes'	63.47
'yes'	62.60
'yes'	64.07
'yes'	63.73
'yes'	64.67
'yes'	61.60
'yes'	61.60
'yes'	60.47
'yes'	61.27
'yes'	63.00
'yes'	61.47
'yes'	60.87
'yes'	61.67
'yes'	62.87
'yes'	62.40
'yes'	59.73
'yes'	60.13
'yes'	58.80
'yes'	59.60
'yes'	58.93
'yes'	60.13
'yes'	58.20
'yes'	58.27
'yes'	58.27
'yes'	55.07
'yes'	53.87
'yes'	52.33
'yes'	47.20
'yes'	37.93
'yes'	72.73
'yes'	70.07
'yes'	70.67
'yes'	72.07
'yes'	68.80
'yes'	68.80
'yes'	67.47
'yes'	66.73
'yes'	66.53
'yes'	66.00
'yes'	67.60
'yes'	66.00
'yes'	66.00
'yes'	66.53
'yes'	65.80
'yes'	64.27
'yes'	64.67
'yes'	64.60
'yes'	64.13
'yes'	65.47
'yes'	62.93
'yes'	63.53
'yes'	62.13
'yes'	63.87
'yes'	64.67
'yes'	63.33
'yes'	63.13
'yes'	62.80
'yes'	62.40
'yes'	62.40
'yes'	62.60
'yes'	61.47
'yes'	62.20
'yes'	63.00
'yes'	61.80
'yes'	59.73
'yes'	60.33
'yes'	60.13
'yes'	59.53
'yes'	59.00
'yes'	55.93
'yes'	41.87
'yes'	36.33
'yes'	71.67
'yes'	71.47
'yes'	70.47
'yes'	69.53
'yes'	70.73
'yes'	69.93
'yes'	68.73
'yes'	67.53
'yes'	64.40
'yes'	66.20
'yes'	66.20
'yes'	63.07
'yes'	64.27
'yes'	65.00
'yes'	63.67
'yes'	62.67
'yes'	64.67
'yes'	64.67
'yes'	64.47
'yes'	61.93
'yes'	63.27
'yes'	62.93
'yes'	61.93
'yes'	64.07
'yes'	61.40
'yes'	62.00
'yes'	62.60
'yes'	62.40
'yes'	61.60
'yes'	59.87
'yes'	63.20
'yes'	62.40
'yes'	60.40
'yes'	61.87
'yes'	59.13
'yes'	59.53
'yes'	57.80
'yes'	57.67
'yes'	61.00
'yes'	56.33
'yes'	54.20
'yes'	54.73
'yes'	52.67
'yes'	17.60
'no'	66.67
'no'	66.33
'no'	64.33
'no'	64.00
'no'	63.33
'no'	61.33
'no'	64.67
'no'	63.00
'no'	60.67
'no'	63.67
'no'	60.67
'no'	61.67
'no'	62.33
'no'	60.33
'no'	59.67
'no'	60.33
'no'	59.33
'no'	58.67
'no'	58.67
'no'	59.33
'no'	57.33
'no'	59.33
'no'	56.00
'no'	53.67
'no'	58.67
'no'	49.33
'no'	71.33
'no'	70.33
'no'	69.00
'no'	66.00
'no'	66.00
'no'	63.33
'no'	65.33
'no'	64.33
'no'	64.00
'no'	61.67
'no'	63.67
'no'	64.67
'no'	61.67
'no'	62.00
'no'	61.33
'no'	63.67
'no'	61.33
'no'	62.33
'no'	59.67
'no'	59.33
'no'	61.67
'no'	58.67
'no'	58.00
'no'	56.67
'no'	59.67
'no'	58.00
'no'	57.00
'no'	57.67
'no'	58.67
'no'	55.33
'no'	56.00
'no'	55.67
'no'	53.33
'no'	53.67
'no'	51.00
'no'	47.00
'no'	4.33
'no'	70.00
'no'	68.67
'no'	67.67
'no'	66.00
'no'	65.67
'no'	65.67
'no'	63.67
'no'	63.67
'no'	64.00
'no'	62.00
'no'	62.00
'no'	61.67
'no'	61.67
'no'	63.33
'no'	61.00
'no'	62.33
'no'	60.33
'no'	60.33
'no'	60.67
'no'	57.67
'no'	58.33
'no'	58.00
'no'	57.33
'no'	56.67
'no'	58.00
'no'	55.33
'no'	55.67
'no'	54.67
'no'	56.33
'no'	55.00
'no'	55.00
'no'	54.67
'no'	54.33
'no'	49.00
'no'	48.33
'no'	49.67
'no'	43.67
'no'	6.33
'no'	3.00
'no'	66.67
'no'	67.33
'no'	65.33
'no'	66.00
'no'	65.67
'no'	66.67
'no'	65.67
'no'	65.00
'no'	64.67
'no'	66.67
'no'	63.67
'no'	63.33
'no'	63.67
'no'	63.33
'no'	63.67
'no'	63.00
'no'	61.67
'no'	61.33
'no'	60.67
'no'	60.00
'no'	61.67
'no'	61.33
'no'	58.67
'no'	60.33
'no'	59.67
'no'	59.33
'no'	59.67
'no'	61.00
'no'	61.00
'no'	60.00
'no'	60.00
'no'	58.67
'no'	58.33
'no'	58.00
'no'	56.33
'no'	54.67
'no'	55.33
'no'	54.00
'no'	52.67
'no'	44.00
'no'	65.67
'no'	65.00
'no'	66.33
'no'	64.00
'no'	62.33
'no'	61.33
'no'	63.00
'no'	63.67
'no'	62.00
'no'	61.33
'no'	64.67
'no'	62.67
'no'	64.00
'no'	61.00
'no'	60.67
'no'	59.67
'no'	60.33
'no'	56.67
'no'	56.67
'no'	54.33
'no'	51.00
'no'	51.00
'no'	47.00
'no'	68.00
'no'	65.00
'no'	64.00
'no'	64.00
'no'	64.00
'no'	62.00
'no'	61.00
'no'	60.00
'no'	60.00
'no'	62.00
'no'	60.00
'no'	59.00
'no'	61.00
'no'	60.00
'no'	60.00
'no'	58.00
'no'	58.00
'no'	60.00
'no'	58.00
'no'	59.00
'no'	56.00
'no'	54.00
'no'	51.00
'no'	47.00

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	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83135&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83135&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83135&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	'Gwilym Jenkins' @ 72.249.127.135

Boxplot statistics
Placement	lower whisker	lower hinge	median	upper hinge	upper whisker
yes	56	58.835	60.67	62	64
no	59.67	61.965	63.565	65.035	66.8

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Placement & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
yes & 56 & 58.835 & 60.67 & 62 & 64 \tabularnewline
no & 59.67 & 61.965 & 63.565 & 65.035 & 66.8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83135&T=1

[TABLE]
[ROW][C]Boxplot statistics[/C][/ROW]
[ROW][C]Placement[/C][C]lower whisker[/C][C]lower hinge[/C][C]median[/C][C]upper hinge[/C][C]upper whisker[/C][/ROW]
[ROW][C]yes[/C][C]56[/C][C]58.835[/C][C]60.67[/C][C]62[/C][C]64[/C][/ROW]
[ROW][C]no[/C][C]59.67[/C][C]61.965[/C][C]63.565[/C][C]65.035[/C][C]66.8[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83135&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83135&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
Placement	lower whisker	lower hinge	median	upper hinge	upper whisker
yes	56	58.835	60.67	62	64
no	59.67	61.965	63.565	65.035	66.8

Trimmed Mean Equation
Placement	No Placement
60.5828695652174	63.5474074074074

\begin{tabular}{lllllllll}
\hline
Trimmed Mean Equation \tabularnewline
Placement & No Placement \tabularnewline
60.5828695652174 & 63.5474074074074 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83135&T=2

[TABLE]
[ROW][C]Trimmed Mean Equation[/C][/ROW]
[ROW][C]Placement[/C][C]No Placement[/C][/ROW]
[ROW][C]60.5828695652174[/C][C]63.5474074074074[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83135&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83135&T=2

As an alternative you can also use a QR Code:

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

Trimmed Mean Equation
Placement	No Placement
60.5828695652174	63.5474074074074

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 3 ; par2 = FALSE ; par3 = 20 ; par4 = 1 ; par5 = 2 ;

Parameters (R input):

par1 = 3 ; par2 = FALSE ; par3 = 20 ; par4 = 1 ; par5 = 2 ;

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.')}
par4 <- as.numeric(par4) #factor column
par5 <- as.numeric(par5) # response column
x <- t(x)
x1<-as.numeric(x[,par5]) # response
f1<-as.character(x[,par4]) # factor
x2<-x1[f1=='yes']
f2 <- f1[f1=='yes']
lotrm<-as.integer(length(x2)*par3/100)
hitrm<-as.integer(length(x2)*(100-par3)/100)
srt<-order(x2,f2)
trmx1<-x2[srt[lotrm:hitrm]]
trmf1<-f2[srt[lotrm:hitrm]]
x3<-x1[f1=='no']
f3 <- f1[f1=='no']
lotrm<-as.integer(length(x3)*par3/100)
hitrm<-as.integer(length(x3)*(100-par3)/100)
srt<-order(x3,f3)
trmx2<-x3[srt[lotrm:hitrm]]
trmf2<-f3[srt[lotrm:hitrm]]
xtrm<-c(trmx1,trmx2)
ftrm<-c(trmf1,trmf2)
xtrm[1:6]
ftrm[1:6]
bitmap(file='test1.png')
r<-boxplot(xtrm~as.factor(ftrm), col=par1, notch=par2, names =c('yes', 'no'), main='Reddy and Moores Placements Data', xlab='Placement Student', ylab='Degree Grade')
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,'Placement',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)
a<-table.row.start(a)
a<-table.element(a,'yes',1,TRUE)
for (j in 1:5)
{
a<-table.element(a,r$stats[j,1])
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'no',1,TRUE)
for (j in 1:5)
{
a<-table.element(a,r$stats[j,2])
}
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
tr.mns<-tapply(x1,f1,mean, trim=par3/100)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('trimmed_mean.htm','Trimmed Mean Equation','Trimmed Mean'),2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Placement')
a<-table.element(a,'No Placement')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,tr.mns[1])
a<-table.element(a,tr.mns[2])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code