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Author's title

Author*The author of this computation has been verified*
R Software ModuleIan.Hollidayrwasp_Reddy-Moores Data Boxplot V2.0.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationTue, 19 Oct 2010 11:08:50 +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/19/t1287486540v7cx187fuurxom3.htm/, Retrieved Sun, 28 Apr 2024 21:21:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86196, Retrieved Sun, 28 Apr 2024 21:21:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85
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] [Error with Boxplot] [2010-10-17 09:53:51] [a1af044be13ec2160cfa9b8e01858a75]
- R  D      [Boxplot and Trimmed Means] [Boxplot of Reddy ...] [2010-10-18 08:31:37] [98fd0e87c3eb04e0cc2efde01dbafab6]
-             [Boxplot and Trimmed Means] [Boxplot of Reddy ...] [2010-10-18 08:38:06] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R             [Boxplot and Trimmed Means] [Boxplot of Reddy ...] [2010-10-18 08:42:04] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R               [Boxplot and Trimmed Means] [Reddy Moores Boxp...] [2010-10-18 11:10:52] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R                 [Boxplot and Trimmed Means] [Boxplot 0% trim] [2010-10-18 14:56:34] [98fd0e87c3eb04e0cc2efde01dbafab6]
-                     [Boxplot and Trimmed Means] [20% trim boxplot] [2010-10-18 15:00:15] [98fd0e87c3eb04e0cc2efde01dbafab6]
-                       [Boxplot and Trimmed Means] [20% trim] [2010-10-18 15:13:50] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P                     [Boxplot and Trimmed Means] [Trim 0%] [2010-10-18 15:18:47] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R  D                      [Boxplot and Trimmed Means] [test] [2010-10-18 16:42:35] [b98453cac15ba1066b407e146608df68]
-   P                         [Boxplot and Trimmed Means] [Reddy-Moores Plac...] [2010-10-18 17:11:37] [98fd0e87c3eb04e0cc2efde01dbafab6]
-    D                            [Boxplot and Trimmed Means] [] [2010-10-19 11:08:50] [888d8c63fc0cbb608262979f3ad7d0e7] [Current]
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Dataseries X:
"no"	3.00
"no"	4.33
"no"	6.33
"no"	43.67
"no"	44.00
"no"	47.00
"no"	47.00
"no"	47.00
"no"	48.33
"no"	49.00
"no"	49.33
"no"	49.67
"no"	51.00
"no"	51.00
"no"	51.00
"no"	51.00
"no"	52.67
"no"	53.33
"no"	53.67
"no"	53.67
"no"	54.00
"no"	54.00
"no"	54.33
"no"	54.33
"no"	54.67
"no"	54.67
"no"	54.67
"no"	55.00
"no"	55.00
"no"	55.33
"no"	55.33
"no"	55.33
"no"	55.67
"no"	55.67
"no"	56.00
"no"	56.00
"no"	56.00
"no"	56.33
"no"	56.33
"no"	56.67
"no"	56.67
"no"	56.67
"no"	56.67
"no"	57.00
"no"	57.33
"no"	57.33
"no"	57.67
"no"	57.67
"no"	58.00
"no"	58.00
"no"	58.00
"no"	58.00
"no"	58.00
"no"	58.00
"no"	58.00
"no"	58.00
"no"	58.33
"no"	58.33
"no"	58.67
"no"	58.67
"no"	58.67
"no"	58.67
"no"	58.67
"no"	58.67
"no"	58.67
"no"	59.00
"no"	59.00
"no"	59.33
"no"	59.33
"no"	59.33
"no"	59.33
"no"	59.33
"no"	59.67
"no"	59.67
"no"	59.67
"no"	59.67
"no"	59.67
"no"	59.67
"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
"no"	60.33
"no"	60.33
"no"	60.33
"no"	60.33
"no"	60.33
"no"	60.33
"no"	60.67
"no"	60.67
"no"	60.67
"no"	60.67
"no"	60.67
"no"	61.00
"no"	61.00
"no"	61.00
"no"	61.00
"no"	61.00
"no"	61.00
"no"	61.33
"no"	61.33
"no"	61.33
"no"	61.33
"no"	61.33
"no"	61.33
"no"	61.33
"no"	61.67
"no"	61.67
"no"	61.67
"no"	61.67
"no"	61.67
"no"	61.67
"no"	61.67
"no"	61.67
"no"	62.00
"no"	62.00
"no"	62.00
"no"	62.00
"no"	62.00
"no"	62.00
"no"	62.33
"no"	62.33
"no"	62.33
"no"	62.33
"no"	62.67
"no"	63.00
"no"	63.00
"no"	63.00
"no"	63.33
"no"	63.33
"no"	63.33
"no"	63.33
"no"	63.33
"no"	63.67
"no"	63.67
"no"	63.67
"no"	63.67
"no"	63.67
"no"	63.67
"no"	63.67
"no"	63.67
"no"	63.67
"no"	64.00
"no"	64.00
"no"	64.00
"no"	64.00
"no"	64.00
"no"	64.00
"no"	64.00
"no"	64.00
"no"	64.33
"no"	64.33
"no"	64.67
"no"	64.67
"no"	64.67
"no"	64.67
"no"	65.00
"no"	65.00
"no"	65.00
"no"	65.33
"no"	65.33
"no"	65.67
"no"	65.67
"no"	65.67
"no"	65.67
"no"	65.67
"no"	66.00
"no"	66.00
"no"	66.00
"no"	66.00
"no"	66.33
"no"	66.33
"no"	66.67
"no"	66.67
"no"	66.67
"no"	66.67
"no"	67.33
"no"	67.67
"no"	68.00
"no"	68.67
"no"	69.00
"no"	70.00
"no"	70.33
"no"	71.33
"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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86196&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86196&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86196&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Boxplot statistics
Placementlower whiskerlower hingemedianupper hingeupper whisker
no4957.6760.6763.6771.33
yes52.3360.4763.666.2773

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Placement & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
no & 49 & 57.67 & 60.67 & 63.67 & 71.33 \tabularnewline
yes & 52.33 & 60.47 & 63.6 & 66.27 & 73 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86196&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]49[/C][C]57.67[/C][C]60.67[/C][C]63.67[/C][C]71.33[/C][/ROW]
[ROW][C]yes[/C][C]52.33[/C][C]60.47[/C][C]63.6[/C][C]66.27[/C][C]73[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86196&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86196&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
Placementlower whiskerlower hingemedianupper hingeupper whisker
no4957.6760.6763.6771.33
yes52.3360.4763.666.2773







Trimmed Mean Equation
No PlacementPlacement
59.301851851851963.0598222222222

\begin{tabular}{lllllllll}
\hline
Trimmed Mean Equation \tabularnewline
No Placement & Placement \tabularnewline
59.3018518518519 & 63.0598222222222 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86196&T=2

[TABLE]
[ROW][C]Trimmed Mean Equation[/C][/ROW]
[ROW][C]No Placement[/C][C]Placement[/C][/ROW]
[ROW][C]59.3018518518519[/C][C]63.0598222222222[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86196&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86196&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 PlacementPlacement
59.301851851851963.0598222222222



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) # 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')