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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_Reddy-Moores Data Boxplot V2.0.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationTue, 14 Feb 2012 14:03:17 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/14/t1329246214jkkm37t7j1bb3su.htm/, Retrieved Mon, 29 Apr 2024 12:51:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162337, Retrieved Mon, 29 Apr 2024 12:51:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

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] [] [2010-10-18 19:16:02] [74be16979710d4c4e7c6647856088456]
- RM D                              [Boxplot and Trimmed Means] [] [2012-02-14 19:03:17] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
 'no'	109
 'no'	121
 'no'	85
 'no'	52
 'no'	111
 'no'	96
 'no'	99
 'no'	112
 'no'	100
 'no'	96
 'no'	119
 'no'	119
 'no'	108
 'no'	80
 'no'	99
 'no'	114
 'no'	103
 'no'	125
 'no'	91
 'no'	118
 'no'	73
 'no'	118
 'no'	111
 'no'	104
 'no'	96
 'no'	64
 'no'	129
 'no'	93
 'no'	110
 'no'	123
 'no'	83
 'no'	121
 'no'	104
 'no'	65
yes'	106
yes'	70
yes'	111
yes'	97
yes'	106
yes'	121
yes'	93
yes'	110
yes'	125
yes'	114
yes'	133
yes'	91
yes'	90
yes'	106
yes'	102
yes'	82
yes'	85
yes'	90
yes'	68
yes'	94
yes'	110
yes'	72
yes'	104
yes'	107
yes'	94
yes'	114
yes'	90
yes'	110
yes'	109
yes'	85
yes'	70
yes'	90
yes'	90
yes'	96
yes'	50
yes'	90
yes'	76
yes'	110
yes'	63

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' @ jenkins.wessa.net

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162337&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162337&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162337&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' @ jenkins.wessa.net


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')