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R Software Module

rwasp_Reddy-Moores Data Boxplot V2.0.wasp

Title produced by software

Boxplot and Trimmed Means

Date of computation

Sun, 14 Oct 2012 13:13:16 -0400

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/2012/Oct/14/t1350234839yi5lsmqzsux7hfu.htm/, Retrieved Sat, 27 Apr 2024 22:31:44 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=176323, Retrieved Sat, 27 Apr 2024 22:31:44 +0000

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No (this computation is public)

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Estimated Impact

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

-       [Boxplot and Trimmed Means] [20% trimmed means] [2012-10-14 17:13:16] [7a38d9f2288cee29d7c347af41386319] [Current]
- R P     [Boxplot and Trimmed Means] [20% trimmed not n...] [2012-10-14 17:29:00] [ff9cdb586539736c1d9d157c4779e73d] 
- R P     [Boxplot and Trimmed Means] [5% trimmed not no...] [2012-10-14 17:30:55] [ff9cdb586539736c1d9d157c4779e73d] 

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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	'Sir Ronald Aylmer Fisher' @ fisher.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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176323&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176323&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176323&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	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Boxplot statistics
Placement	lower whisker	lower hinge	median	upper hinge	upper whisker
no	56	58.835	60.67	62	64
yes	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
no & 56 & 58.835 & 60.67 & 62 & 64 \tabularnewline
yes & 59.67 & 61.965 & 63.565 & 65.035 & 66.8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176323&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]no[/C][C]56[/C][C]58.835[/C][C]60.67[/C][C]62[/C][C]64[/C][/ROW]
[ROW][C]yes[/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=176323&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176323&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
no	56	58.835	60.67	62	64
yes	59.67	61.965	63.565	65.035	66.8

Trimmed Mean Equation
No Placement	Placement
60.5828695652174	63.5474074074074

\begin{tabular}{lllllllll}
\hline
Trimmed Mean Equation \tabularnewline
No Placement & Placement \tabularnewline
60.5828695652174 & 63.5474074074074 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176323&T=2

[TABLE]
[ROW][C]Trimmed Mean Equation[/C][/ROW]
[ROW][C]No Placement[/C][C]Placement[/C][/ROW]
[ROW][C]60.5828695652174[/C][C]63.5474074074074[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176323&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176323&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
No Placement	Placement
60.5828695652174	63.5474074074074

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = grey ; par2 = TRUE ; par3 = 20 ; par4 = 1 ; par5 = 2 ;

Parameters (R input):

par1 = grey ; par2 = TRUE ; par3 = 20 ; par4 = 1 ; par5 = 2 ;

R code (references can be found in the software module):

bitmap(file='test1.png')
par2<- as.logical(par2) # notches
par3<-as.numeric(par3) # percentage 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=='no']
f2 <- f1[f1=='no']
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=='yes']
f3 <- f1[f1=='yes']
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]
r<-boxplot(xtrm~as.factor(ftrm), col=par1, notch=par2, main=main, xlab=xlab, ylab=ylab)
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,'no',1,TRUE)
for (j in 1:5)
{
a<-table.element(a,r$stats[j,1])
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'yes',1,TRUE)
for (j in 1:5)
{
a<-table.element(a,r$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,'No Placement')
a<-table.element(a,'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