FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

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 computationTue, 20 Oct 2009 13:54:10 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/20/t1256039696apuy3k3lxrmlg6r.htm/, Retrieved Thu, 02 May 2024 15:14:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48544, Retrieved Thu, 02 May 2024 15:14:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram and QQPlot] [] [2009-10-12 20:31:19] [c7a0efa05b625e9364575495aeacbca3]
- RMPD  [Boxplot and Trimmed Means] [Reddy Moores BoxPlot] [2009-10-12 20:55:12] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P     [Boxplot and Trimmed Means] [Reddy Moores BoxPlot] [2009-10-14 08:10:58] [98fd0e87c3eb04e0cc2efde01dbafab6]
-    D        [Boxplot and Trimmed Means] [20% Trim Boxplot] [2009-10-20 11:54:10] [a4cb87801d93799a9f3ad5a6166295b9] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
58.20
58.27
58.27
58.33
58.33
58.33
58.40
58.67
58.67
58.67
58.67
58.67
58.67
58.67
58.80
58.80
58.93
59.00
59.00
59.00
59.13
59.13
59.33
59.33
59.33
59.33
59.33
59.40
59.47
59.53
59.53
59.53
59.60
59.67
59.67
59.67
59.67
59.67
59.67
59.67
59.67
59.73
59.73
59.73
59.80
59.80
59.87
60.00
60.00
60.00
60.00
60.00
60.00
60.00
60.00
60.00
60.13
60.13
60.13
60.33
60.33
60.33
60.33
60.33
60.33
60.33
60.40
60.47
60.67
60.67
60.67
60.67
60.67
60.73
60.80
60.87
61.00
61.00
61.00
61.00
61.00
61.00
61.00
61.00
61.27
61.27
61.33
61.33
61.33
61.33
61.33
61.33
61.33
61.33
61.40
61.40
61.47
61.47
61.60
61.60
61.60
61.67
61.67
61.67
61.67
61.67
61.67
61.67
61.67
61.67
61.80
61.87
61.93
61.93
61.93
62.00
62.00
62.00
62.00
62.00
62.00
62.00
62.13
62.20
62.33
62.33
62.33
62.33
62.40
62.40
62.40
62.40
62.40
62.53
62.60
62.60
62.60
62.60
62.67
62.67
62.67
62.80
62.80
62.80
62.87
62.87
62.93
62.93
63.00
63.00
63.00
63.00
63.00
63.07
63.13
63.20
63.27
63.33
63.33
63.33
63.33
63.33
63.33
63.33
63.47
63.53
63.53
63.53
63.60
63.67
63.67
63.67
63.67
63.67
63.67
63.67
63.67
63.67
63.67
63.67
63.67
63.73
63.73
63.73
63.87
64.00
64.00
64.00
64.00
64.00
64.00
64.00
64.00
64.00
64.07
64.07
64.07
64.13
64.20
64.20
64.27
64.27
64.33
64.33
64.40
64.47
64.60
64.60
64.67
64.67
64.67
64.67
64.67
64.67
64.67
64.67
64.67
64.67
64.67
64.67
64.73
64.80
64.87
65.00
65.00
65.00
65.00
65.00
65.07
65.07
65.20
65.33
65.33
65.47
65.47
65.60
65.67
65.67
65.67
65.67
65.67
65.67
65.67
65.80
65.80
65.80
65.93
66.00
66.00
Dataseries Y:
Download CSV
Histogram 
1
1
1
1
2
2
1
2
2
2
2
2
2
2
1
1
1
1
2
2
1
1
2
2
2
2
2
1
1
1
1
1
1
1
1
2
2
2
2
2
2
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
1
1
1
1
2
2
2
2
2
2
1
1
2
2
2
2
2
1
1
1
1
1
2
2
2
2
2
2
1
1
1
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
1
1
1
1
1
1
2
2
2
2
2
2
1
1
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
2
2
2
1
1
1
1
1
1
2
2
2
2
2
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
1
1
1
1
1
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
2
2
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
1
1
1
1
1
2
2
2
1
1
1
2
2
1
1
1
1
1
2
2
2
2
2
1
1
1
1
1
1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48544&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48544&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48544&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Boxplot statistics
Placementlower whiskerlower hingemedianupper hingeupper whisker
yes58.260.8762.73564.266
no58.336061.6763.6765.67

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Placement & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
yes & 58.2 & 60.87 & 62.735 & 64.2 & 66 \tabularnewline
no & 58.33 & 60 & 61.67 & 63.67 & 65.67 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48544&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]58.2[/C][C]60.87[/C][C]62.735[/C][C]64.2[/C][C]66[/C][/ROW]
[ROW][C]no[/C][C]58.33[/C][C]60[/C][C]61.67[/C][C]63.67[/C][C]65.67[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48544&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48544&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot statistics
Placementlower whiskerlower hingemedianupper hingeupper whisker
yes58.260.8762.73564.266
no58.336061.6763.6765.67






Trimmed Mean Equation
PlacementNo Placement
62.486343283582161.8264347826087

\begin{tabular}{lllllllll}
\hline
Trimmed Mean Equation \tabularnewline
Placement & No Placement \tabularnewline
62.4863432835821 & 61.8264347826087 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48544&T=2

[TABLE]
[ROW][C]Trimmed Mean Equation[/C][/ROW]
[ROW][C]Placement[/C][C]No Placement[/C][/ROW]
[ROW][C]62.4863432835821[/C][C]61.8264347826087[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48544&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48544&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Trimmed Mean Equation
PlacementNo Placement
62.486343283582161.8264347826087


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 3 ; par2 = TRUE ; par3 = 0 ;
Parameters (R input):
par1 = 3 ; par2 = TRUE ; par3 = 0 ;
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)
atable.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'),6,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')