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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 computationMon, 18 Oct 2010 22:55:08 +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/t1287442456n7q4njv9gmo4nzx.htm/, Retrieved Mon, 29 Apr 2024 02:27:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=85706, Retrieved Mon, 29 Apr 2024 02:27:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96

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] [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] [box plot week 2] [2010-10-18 22:55:08] [bf3fc330fa13136327696ba81da39973] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
17.60
36.33
37.93
41.87
47.20
51.53
52.33
52.67
53.87
54.20
54.73
55.00
55.07
55.47
55.93
56.20
56.33
56.67
57.13
57.47
57.47
57.67
57.67
57.80
57.87
58.07
58.20
58.27
58.27
58.33
58.40
58.80
58.80
58.93
59.00
59.13
59.13
59.40
59.47
59.53
59.53
59.53
59.60
59.67
59.67
59.73
59.73
59.73
59.80
59.80
59.87
60.13
60.13
60.13
60.33
60.40
60.47
60.73
60.80
60.87
61.00
61.00
61.27
61.27
61.33
61.40
61.40
61.47
61.47
61.60
61.60
61.60
61.67
61.80
61.87
61.93
61.93
61.93
62.00
62.13
62.20
62.40
62.40
62.40
62.40
62.40
62.53
62.60
62.60
62.60
62.60
62.67
62.67
62.80
62.80
62.80
62.87
62.87
62.93
62.93
63.00
63.00
63.07
63.13
63.20
63.27
63.33
63.33
63.47
63.53
63.53
63.53
63.60
63.67
63.67
63.67
63.73
63.73
63.73
63.87
64.00
64.07
64.07
64.07
64.13
64.20
64.20
64.27
64.27
64.40
64.47
64.60
64.60
64.67
64.67
64.67
64.67
64.67
64.67
64.67
64.67
64.73
64.80
64.87
65.00
65.00
65.07
65.07
65.20
65.47
65.47
65.60
65.67
65.67
65.80
65.80
65.80
65.93
66.00
66.00
66.00
66.00
66.00
66.00
66.00
66.07
66.20
66.20
66.27
66.27
66.47
66.53
66.53
66.53
66.60
66.73
66.73
66.73
66.73
66.80
66.87
66.93
67.07
67.13
67.33
67.47
67.47
67.53
67.60
67.60
67.80
68.07
68.60
68.67
68.67
68.73
68.80
68.80
68.87
69.53
69.60
69.60
69.87
69.93
70.07
70.07
70.47
70.67
70.67
70.73
70.73
70.73
70.73
70.80
70.80
71.07
71.47
71.53
71.67
71.67
72.07
72.73
72.73
72.87
73.00

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Engine error message
Error in dimnames(data) <- dimnames : 
  length of 'dimnames' [1] not equal to array extent
Calls: array
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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Engine error message & 
Error in dimnames(data) <- dimnames : 
  length of 'dimnames' [1] not equal to array extent
Calls: array
Execution halted

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85706&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Engine error message[/C][C]
Error in dimnames(data) <- dimnames : 
  length of 'dimnames' [1] not equal to array extent
Calls: array
Execution halted

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85706&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85706&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Engine error message
Error in dimnames(data) <- dimnames : 
  length of 'dimnames' [1] not equal to array extent
Calls: array
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) # 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')