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Author's title

Author*The author of this computation has been verified*
R Software ModuleIan.Hollidayrwasp_Reddy-Moores Data Boxplot.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationWed, 05 May 2010 15:58:40 +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/May/05/t1273075184f010grgah5rra8r.htm/, Retrieved Sat, 27 Apr 2024 17:21:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75547, Retrieved Sat, 27 Apr 2024 17:21:21 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsboxplots, Reddy-Moores placement data, Aston Unviversity
Estimated Impact148
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...] [2010-05-05 15:58:40] [a9208f4f8d3b118336aae915785f2bd9] [Current]
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Dataseries X:
70.80
69.60
69.87
67.47
67.60
67.13
66.27
66.73
68.07
67.80
64.80
64.60
64.20
64.20
63.67
61.00
59.67
59.67
59.80
60.73
59.40
58.07
57.47
66.67
66.33
64.33
64.00
63.33
61.33
64.67
63.00
60.67
63.67
60.67
61.67
62.33
60.33
59.67
60.33
59.33
58.67
58.67
59.33
57.33
59.33
56.00
53.67
58.67
49.33
70.73
72.87
66.00
66.07
66.00
66.27
64.00
63.67
63.73
63.33
63.53
63.53
62.87
59.53
62.80
60.80
59.80
56.67
57.67
58.40
55.47
56.20
71.33
70.33
69.00
66.00
66.00
63.33
65.33
64.33
64.00
61.67
63.67
64.67
61.67
62.00
61.33
63.67
61.33
62.33
59.67
59.33
61.67
58.67
58.00
56.67
59.67
58.00
57.00
57.67
58.67
55.33
56.00
55.67
53.33
53.67
51.00
47.00
4.33
71.53
68.67
65.67
66.73
67.33
66.73
66.87
65.80
64.73
65.47
63.60
64.07
64.67
63.73
62.53
61.93
62.67
62.80
61.33
62.60
59.13
61.27
59.47
57.87
59.73
61.40
58.80
58.33
57.47
57.13
55.00
51.53
70.00
68.67
67.67
66.00
65.67
65.67
63.67
63.67
64.00
62.00
62.00
61.67
61.67
63.33
61.00
62.33
60.33
60.33
60.67
57.67
58.33
58.00
57.33
56.67
58.00
55.33
55.67
54.67
56.33
55.00
55.00
54.67
54.33
49.00
48.33
49.67
43.67
6.33
3.00
72.73
73.00
70.80
70.07
71.67
71.07
70.67
70.73
70.73
68.60
69.60
66.47
67.07
68.67
66.93
65.93
68.87
66.53
65.80
66.60
66.00
65.00
66.80
65.60
66.00
65.67
64.67
65.07
64.67
65.07
65.20
64.87
63.47
62.60
64.07
63.73
64.67
61.60
61.60
60.47
61.27
63.00
61.47
60.87
61.67
62.87
62.40
59.73
60.13
58.80
59.60
58.93
60.13
58.20
58.27
58.27
55.07
53.87
52.33
47.20
37.93
66.67
67.33
65.33
66.00
65.67
66.67
65.67
65.00
64.67
66.67
63.67
63.33
63.67
63.33
63.67
63.00
61.67
61.33
60.67
60.00
61.67
61.33
58.67
60.33
59.67
59.33
59.67
61.00
61.00
60.00
60.00
58.67
58.33
58.00
56.33
54.67
55.33
54.00
52.67
44.00
72.73
70.07
70.67
72.07
68.80
68.80
67.47
66.73
66.53
66.00
67.60
66.00
66.00
66.53
65.80
64.27
64.67
64.60
64.13
65.47
62.93
63.53
62.13
63.87
64.67
63.33
63.13
62.80
62.40
62.40
62.60
61.47
62.20
63.00
61.80
59.73
60.33
60.13
59.53
59.00
55.93
41.87
36.33
65.67
65.00
66.33
64.00
62.33
61.33
63.00
63.67
62.00
61.33
64.67
62.67
64.00
61.00
60.67
59.67
60.33
56.67
56.67
54.33
51.00
51.00
47.00
71.67
71.47
70.47
69.53
70.73
69.93
68.73
67.53
64.40
66.20
66.20
63.07
64.27
65.00
63.67
62.67
64.67
64.67
64.47
61.93
63.27
62.93
61.93
64.07
61.40
62.00
62.60
62.40
61.60
59.87
63.20
62.40
60.40
61.87
59.13
59.53
57.80
57.67
61.00
56.33
54.20
54.73
52.67
17.60
68
65
64
64
64
62
61
60
60
62
60
59
61
60
60
58
58
60
58
59
56
54
51
47
Dataseries Y:
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75547&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75547&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75547&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Boxplot statistics
Placementlower whiskerlower hingemedianupper hingeupper whisker
yes59.6761.96563.56565.03566.8
no5658.83560.676264

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Placement & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
yes & 59.67 & 61.965 & 63.565 & 65.035 & 66.8 \tabularnewline
no & 56 & 58.835 & 60.67 & 62 & 64 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75547&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]yes[/C][C]59.67[/C][C]61.965[/C][C]63.565[/C][C]65.035[/C][C]66.8[/C][/ROW]
[ROW][C]no[/C][C]56[/C][C]58.835[/C][C]60.67[/C][C]62[/C][C]64[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75547&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75547&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
yes59.6761.96563.56565.03566.8
no5658.83560.676264







Trimmed Mean Equation
PlacementNo Placement
63.547407407407460.5828695652174

\begin{tabular}{lllllllll}
\hline
Trimmed Mean Equation \tabularnewline
Placement & No Placement \tabularnewline
63.5474074074074 & 60.5828695652174 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75547&T=2

[TABLE]
[ROW][C]Trimmed Mean Equation[/C][/ROW]
[ROW][C]Placement[/C][C]No Placement[/C][/ROW]
[ROW][C]63.5474074074074[/C][C]60.5828695652174[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75547&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75547&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
PlacementNo Placement
63.547407407407460.5828695652174



Parameters (Session):
par1 = 3 ; par2 = TRUE ; par3 = 20 ;
Parameters (R input):
par1 = 3 ; par2 = TRUE ; par3 = 20 ;
R code (references can be found in the software module):
bitmap(file='test1.png')
par1 <- as.numeric(par1)
par2<- as.logical(par2)
par3<-as.numeric(par3)
if(par3>45){par3<-45;warning('trim limited to 45%')}
if(par3<0){par3<-0;warning('negative trim makes no sense. Trim is zero.')}
x1<-x[y==1]
y1<-y[y==1]
lotrm<-as.integer(length(x1)*par3/100)
hitrm<-as.integer(length(x1)*(100-par3)/100)
srt<-order(x1,y1)
trmx1<-x1[srt[lotrm:hitrm]]
trmy1<-y1[srt[lotrm:hitrm]]
x2<-x[y==2]
y2<-y[y==2]
lotrm<-as.integer(length(x2)*par3/100)
hitrm<-as.integer(length(x2)*(100-par3)/100)
srt<-order(x2,y2)
trmx2<-x2[srt[lotrm:hitrm]]
trmy2<-y2[srt[lotrm:hitrm]]
xtrm<-c(trmx1,trmx2)
ytrm<-c(trmy1,trmy2)
r<-boxplot(xtrm~as.factor(ytrm), 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(x,y,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')