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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 computationMon, 18 Oct 2010 19:52:02 +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/18/t1287431458nezlx4wv84hyhlh.htm/, Retrieved Sat, 04 May 2024 07:21:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=85386, Retrieved Sat, 04 May 2024 07:21:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180
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]
-   PD                            [Boxplot and Trimmed Means] [bp p 5%] [2010-10-18 19:52:02] [a33cc5776bbf69e16b7d55297623b4dd] [Current]
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Dataseries X:
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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85386&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85386&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85386&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'George Udny Yule' @ 72.249.76.132



Parameters (Session):
par1 = 3 ; par2 = FALSE ; par3 = 5 ; par4 = 1 ; par5 = 2 ;
Parameters (R input):
par1 = 3 ; par2 = FALSE ; par3 = 5 ; 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')