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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Module--
Title produced by softwareBoxplot and Trimmed Means
Date of computationWed, 02 Nov 2011 08:59:48 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/02/t13202390621zaug9aahsfskf9.htm/, Retrieved Sat, 27 Apr 2024 03:47:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=139071, Retrieved Sat, 27 Apr 2024 03:47:39 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140

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] [Care Age 10 Data] [2009-10-26 09:01:50] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Boxplot and Trimmed Means] [Care Age 7 Data] [2009-10-26 18:36:29] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P     [CARE Data - Boxplots and Scatterplot Matrix] [CARE Data] [2010-10-19 14:16:27] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM        [CARE Data - Boxplots and Scatterplot Matrix] [CARE data - works...] [2011-10-17 10:23:12] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R PD        [CARE Data - Boxplots and Scatterplot Matrix] [Composite Ratings...] [2011-11-01 01:47:29] [5934aceae8cf147bda5be230722b868c]
-  MP             [Boxplot and Trimmed Means] [] [2011-11-02 12:59:48] [c62ed79b8378848f61970d6eee663179] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6	6	6	6.8	7	6.4
4	4.2	4	4	4.2	4
4.2	4	4	4.2	4	4
5	5.2	5	5	5.2	5
4.4	4.4	4	5	4.2	4
4.2	4.6	4.2	4.6	4.6	4.2
4.6	4.8	4.4	4.8	4.8	4
4.4	4.2	4	5	4.8	4
4	4	4	4.2	4	4
4	4.2	4	4	4.4	4
4	4	4.2	4	4	4
4.2	5	4.6	3.8	4.6	4.2
4	4	4.4	4.6	4.2	4
5	5.6	4.4	4	4	4
4.2	4	4	4.2	3.8	4
5.4	5.8	5	5.6	6	5.2
4	4.4	4.2	4	5	4.2
6	5.4	5	5.6	5.4	4.8
3.8	4.2	4	3.8	4.2	4
5	5.2	4.8	5	5.4	4.8
4.4	4.6	4	5.4	5.6	5
5	5.2	4.6	5	5.2	4.6
4.4	4.4	4	4.4	4.4	4
5	4.2	4.4	4.4	4.4	4.4
4.2	4	4	4	4.2	4
4.6	3.8	3.4	5.4	4	3.8
5	5.6	5.8	2.2	4.2	4.5

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'George Udny Yule' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=139071&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=139071&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=139071&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'George Udny Yule' @ yule.wessa.net






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
compmemomean3.84.14.456
compattenmean3.84.14.45.26
compappliedmean3.444.24.65
specmemmean3.844.455.6
specattenmean3.84.24.45.16
specappliedmean3.8444.555.2

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
compmemomean & 3.8 & 4.1 & 4.4 & 5 & 6 \tabularnewline
compattenmean & 3.8 & 4.1 & 4.4 & 5.2 & 6 \tabularnewline
compappliedmean & 3.4 & 4 & 4.2 & 4.6 & 5 \tabularnewline
specmemmean & 3.8 & 4 & 4.4 & 5 & 5.6 \tabularnewline
specattenmean & 3.8 & 4.2 & 4.4 & 5.1 & 6 \tabularnewline
specappliedmean & 3.8 & 4 & 4 & 4.55 & 5.2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=139071&T=1

[TABLE]
[ROW][C]Boxplot statistics[/C][/ROW]
[ROW][C]Variable[/C][C]lower whisker[/C][C]lower hinge[/C][C]median[/C][C]upper hinge[/C][C]upper whisker[/C][/ROW]
[ROW][C]compmemomean[/C][C]3.8[/C][C]4.1[/C][C]4.4[/C][C]5[/C][C]6[/C][/ROW]
[ROW][C]compattenmean[/C][C]3.8[/C][C]4.1[/C][C]4.4[/C][C]5.2[/C][C]6[/C][/ROW]
[ROW][C]compappliedmean[/C][C]3.4[/C][C]4[/C][C]4.2[/C][C]4.6[/C][C]5[/C][/ROW]
[ROW][C]specmemmean[/C][C]3.8[/C][C]4[/C][C]4.4[/C][C]5[/C][C]5.6[/C][/ROW]
[ROW][C]specattenmean[/C][C]3.8[/C][C]4.2[/C][C]4.4[/C][C]5.1[/C][C]6[/C][/ROW]
[ROW][C]specappliedmean[/C][C]3.8[/C][C]4[/C][C]4[/C][C]4.55[/C][C]5.2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=139071&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=139071&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
Variablelower whiskerlower hingemedianupper hingeupper whisker
compmemomean3.84.14.456
compattenmean3.84.14.45.26
compappliedmean3.444.24.65
specmemmean3.844.455.6
specattenmean3.84.24.45.16
specappliedmean3.8444.555.2






Boxplot Means
Variabletrimmed meanunbiased SD
compmemomean4.560.6
compattenmean4.630.65
compappliedmean4.390.58
specmemmean4.560.85
specattenmean4.660.74
specappliedmean4.340.57

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
compmemomean & 4.56 & 0.6 \tabularnewline
compattenmean & 4.63 & 0.65 \tabularnewline
compappliedmean & 4.39 & 0.58 \tabularnewline
specmemmean & 4.56 & 0.85 \tabularnewline
specattenmean & 4.66 & 0.74 \tabularnewline
specappliedmean & 4.34 & 0.57 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=139071&T=2

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]compmemomean[/C][C]4.56[/C][C]0.6[/C][/ROW]
[ROW][C]compattenmean[/C][C]4.63[/C][C]0.65[/C][/ROW]
[ROW][C]compappliedmean[/C][C]4.39[/C][C]0.58[/C][/ROW]
[ROW][C]specmemmean[/C][C]4.56[/C][C]0.85[/C][/ROW]
[ROW][C]specattenmean[/C][C]4.66[/C][C]0.74[/C][/ROW]
[ROW][C]specappliedmean[/C][C]4.34[/C][C]0.57[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=139071&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=139071&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:

Boxplot Means
Variabletrimmed meanunbiased SD
compmemomean4.560.6
compattenmean4.630.65
compappliedmean4.390.58
specmemmean4.560.85
specattenmean4.660.74
specappliedmean4.340.57


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 3 ; par2 = FALSE ; par3 = 0 ;
Parameters (R input):
par1 = 3 ; par2 = FALSE ; par3 = 0 ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
R code (references can be found in the software module):
par1 <- as.numeric(par1) #colour
par2<- as.logical(par2) # Notches ?
par3<-as.numeric(par3) # % 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.')}
lotrm<-as.integer(length(y[1,])*par3/100)+1
hitrm<-as.integer(length(y[1,])*(100-par3)/100)
y1<-array(dim=c(dim(y)[1], hitrm-lotrm+1), dimnames=list(dimnames(y)[[1]], 1:(hitrm-lotrm+1) ))
for(i in 1:dim(y)[1]){
tmp<-order(y[i,])
y1[i,]<- y[i, tmp[lotrm:hitrm] ]
}
bitmap(file='test2.png')
pairs(t(y))
dev.off()
y<-y1
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=par2,col=par1))
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,'Variable',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)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
for (j in 1:5)
{
a<-table.element(a,round(r$stats[j,i], digits=2))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
if (par2){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,round(r$conf[1,i], digits=2))
a<-table.element(a, round(r$stats[3,i], digits=2))
a<-table.element(a,round(r$conf[2,i], digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Means',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('trimmed_mean.htm','trimmed mean','definition of trimmed mean'),1,TRUE)
a<-table.element(a,hyperlink('unbiased1.htm','unbiased SD','definition of unbiased SD'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,round(mean(z[i], trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(z[i], na.rm=TRUE), digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')