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Author's title

Author

*The author of this computation has been verified*

R Software Module

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

Title produced by software

Boxplot and Trimmed Means

Date of computation

Sun, 17 Oct 2010 21:58:11 +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/17/t1287352671y92avlwl601q9va.htm/, Retrieved Fri, 03 May 2024 11:51:46 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=84405, Retrieved Fri, 03 May 2024 11:51:46 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

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 Boxp...] [2010-10-12 16:37:57] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Boxplot and Trimmed Means] [Reddy-Moores Plac...] [2010-10-13 09:46:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
-    D      [Boxplot and Trimmed Means] [asdtest] [2010-10-17 21:58:11] [7db45ebd7c882c2d2795a59cd432ddc9] [Current]

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Dataseries X:

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Histogram

Boxplots

yes	17.60
yes	36.33
yes	37.93
yes	41.87
yes	47.20
yes	51.53
yes	52.33
yes	52.67
yes	53.87
yes	54.20
yes	54.73
yes	55.00
yes	55.07
yes	55.47
yes	55.93
yes	56.20
yes	56.33
yes	56.67
yes	57.13
yes	57.47
yes	57.47
yes	57.67
yes	57.67
yes	57.80
yes	57.87
yes	58.07
yes	58.20
yes	58.27
yes	58.27
yes	58.33
yes	58.40
yes	58.80
yes	58.80
yes	58.93
yes	59.00
yes	59.13
yes	59.13
yes	59.40
yes	59.47
yes	59.53
yes	59.53
yes	59.53
yes	59.60
yes	59.67
yes	59.67
yes	59.73
yes	59.73
yes	59.73
yes	59.80
yes	59.80
yes	59.87
yes	60.13
yes	60.13
yes	60.13
yes	60.33
yes	60.40
yes	60.47
yes	60.73
yes	60.80
yes	60.87
yes	61.00
yes	61.00
yes	61.27
yes	61.27
yes	61.33
yes	61.40
yes	61.40
yes	61.47
yes	61.47
yes	61.60
yes	61.60
yes	61.60
yes	61.67
yes	61.80
yes	61.87
yes	61.93
yes	61.93
yes	61.93
yes	62.00
yes	62.13
yes	62.20
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
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
yes	63.00
yes	63.00
yes	63.07
yes	63.13
yes	63.20
yes	63.27
yes	63.33
yes	63.33
yes	63.47
yes	63.53
yes	63.53
yes	63.53
yes	63.60
yes	63.67
yes	63.67
yes	63.67
yes	63.73
yes	63.73
yes	63.73
yes	63.87
yes	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
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
yes	64.67
yes	64.67
yes	64.67
yes	64.73
yes	64.80
yes	64.87
yes	65.00
yes	65.00
yes	65.07
yes	65.07
yes	65.20
yes	65.47
yes	65.47
yes	65.60
yes	65.67
yes	65.67
yes	65.80
yes	65.80
yes	65.80
yes	65.93
yes	66.00
yes	66.00
yes	66.00
yes	66.00
yes	66.00
yes	66.00
yes	66.00
yes	66.07
yes	66.20
yes	66.20
yes	66.27
yes	66.27
yes	66.47
yes	66.53
yes	66.53
yes	66.53
yes	66.60
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
yes	67.47
yes	67.47
yes	67.53
yes	67.60
yes	67.60
yes	67.80
yes	68.07
yes	68.60
yes	68.67
yes	68.67
yes	68.73
yes	68.80
yes	68.80
yes	68.87
yes	69.53
yes	69.60
yes	69.60
yes	69.87
yes	69.93
yes	70.07
yes	70.07
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
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	'RServer@AstonUniversity' @ vre.aston.ac.uk
R Engine error message	Error in as.vector(data) : object 'yes' not found Calls: array -> as.vector Execution halted

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
R Engine error message & Error in as.vector(data) : object 'yes' not found
Calls: array -> as.vector
Execution halted
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=84405&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[ROW][C]R Engine error message[/C][C]Error in as.vector(data) : object 'yes' not found
Calls: array -> as.vector
Execution halted
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=84405&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=84405&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	'RServer@AstonUniversity' @ vre.aston.ac.uk
R Engine error message	Error in as.vector(data) : object 'yes' not found Calls: array -> as.vector Execution halted

Parameters (Session):

par1 = 3 ; par2 = FALSE ; par3 = 0 ; par4 = 1 ; par5 = 2 ;

Parameters (R input):

par1 = 3 ; par2 = FALSE ; par3 = 0 ; 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')

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Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code