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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software ModuleIan.Hollidayrwasp_Reddy-Moores Data Boxplot V2.0.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationThu, 14 Oct 2010 11:34:06 +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/2010/Oct/14/t1287056060y091bthtjqqz83m.htm/, Retrieved Thu, 02 May 2024 08:17:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83254, Retrieved Thu, 02 May 2024 08:17:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsunsorted q1
Estimated Impact196

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] [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] [Compendium week 2] [2010-10-14 11:34:06] [559cae6757f936041dc676d3cfa1197f] [Current]
Feedback Forum

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Dataset

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

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'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=83254&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=83254&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83254&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'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


Figures (Output of Computation)

Input Parameters & R Code

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')