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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_Reddy-Moores Data Boxplot V2.0.wasp

Title produced by software

Boxplot and Trimmed Means

Date of computation

Tue, 18 Oct 2011 08:06:15 -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/2011/Oct/18/t1318939619va0jhnpk6apwwui.htm/, Retrieved Thu, 31 Oct 2024 22:47:25 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=131728, Retrieved Thu, 31 Oct 2024 22:47:25 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

10% trim

Estimated Impact

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

-     [Boxplot and Trimmed Means] [Reddy-Moores Plac...] [2011-10-10 17:07:34] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R  D  [Boxplot and Trimmed Means] [compendium week 2] [2011-10-13 12:46:08] [8c387ce24444dc2c0e7d576cfc7658e0]
-   P       [Boxplot and Trimmed Means] [week 2 compendium] [2011-10-18 12:06:15] [8a88677275c802046fb3e0f3a8bb8474] [Current]
-   P         [Boxplot and Trimmed Means] [week 2 compendium] [2011-10-18 12:08:15] [8c387ce24444dc2c0e7d576cfc7658e0] 

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Dataseries X:

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Histogram

Boxplots

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=131728&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=131728&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=131728&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	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Boxplot statistics
Placement	lower whisker	lower hinge	median	upper hinge	upper whisker
no	53.33	58	60.67	63	65.67
yes	57.67	61.4	63.53	65.8	69.6

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Placement & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
no & 53.33 & 58 & 60.67 & 63 & 65.67 \tabularnewline
yes & 57.67 & 61.4 & 63.53 & 65.8 & 69.6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=131728&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]53.33[/C][C]58[/C][C]60.67[/C][C]63[/C][C]65.67[/C][/ROW]
[ROW][C]yes[/C][C]57.67[/C][C]61.4[/C][C]63.53[/C][C]65.8[/C][C]69.6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=131728&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=131728&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	53.33	58	60.67	63	65.67
yes	57.67	61.4	63.53	65.8	69.6

Trimmed Mean Equation
No Placement	Placement
60.4164705882353	63.5391160220994

\begin{tabular}{lllllllll}
\hline
Trimmed Mean Equation \tabularnewline
No Placement & Placement \tabularnewline
60.4164705882353 & 63.5391160220994 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=131728&T=2

[TABLE]
[ROW][C]Trimmed Mean Equation[/C][/ROW]
[ROW][C]No Placement[/C][C]Placement[/C][/ROW]
[ROW][C]60.4164705882353[/C][C]63.5391160220994[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=131728&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=131728&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
60.4164705882353	63.5391160220994

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 3 ; par2 = FALSE ; par3 = 10 ; par4 = 1 ; par5 = 2 ;

Parameters (R input):

par1 = 3 ; par2 = FALSE ; par3 = 10 ; 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) # 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]
bitmap(file='test1.png')
r<-boxplot(xtrm~as.factor(ftrm), col=par1, notch=par2, 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,'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