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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_BoxplotAndScatterplotMatrix.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationMon, 24 Nov 2014 11:42:52 +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/2014/Nov/24/t1416829431w0bhonncp2g96h7.htm/, Retrieved Fri, 01 Nov 2024 01:01:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=258188, Retrieved Fri, 01 Nov 2024 01:01:35 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact141

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]
- RMP         [Boxplot and Trimmed Means] [CARE Study Age 7 ] [2013-10-17 12:59:45] [34296d8f7657c52ed60d5bff9133afec]
- RM            [Boxplot and Trimmed Means] [workshop2 q1] [2014-10-26 13:08:51] [52d5a1bad551f592964666f38a2c9843]
-   PD              [Boxplot and Trimmed Means] [dv] [2014-11-24 11:42:52] [5f28cf9a34f23a9c754e4cf7754f5111] [Current]
-   P                 [Boxplot and Trimmed Means] [vdv] [2014-11-24 12:01:01] [52d5a1bad551f592964666f38a2c9843]
-   PD                  [Boxplot and Trimmed Means] [jhk] [2014-11-30 13:51:24] [52d5a1bad551f592964666f38a2c9843]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4	3	8	3
5	5	9	5
3	4	10	4
4	2	7	2
5	7	8	6
3	1	9	1
7	4	10	4
5	4	6	4
6	7	6	5
3	4	7	4
2	3	8	3
4	3	9	3
5	3	8	4
2	3	7	3
3	2	5	2
6	5	11	5
4	5	7	4
4	3	8	3
6	6	10	6
2	2	9	2

Tables (Output of Computation)





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' @ 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=258188&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=258188&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=258188&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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
HOTSMK23456
MILDSMK233.557
HOTNSMK678910
MILDNSMK23445

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
HOTSMK & 2 & 3 & 4 & 5 & 6 \tabularnewline
MILDSMK & 2 & 3 & 3.5 & 5 & 7 \tabularnewline
HOTNSMK & 6 & 7 & 8 & 9 & 10 \tabularnewline
MILDNSMK & 2 & 3 & 4 & 4 & 5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=258188&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]HOTSMK[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][C]6[/C][/ROW]
[ROW][C]MILDSMK[/C][C]2[/C][C]3[/C][C]3.5[/C][C]5[/C][C]7[/C][/ROW]
[ROW][C]HOTNSMK[/C][C]6[/C][C]7[/C][C]8[/C][C]9[/C][C]10[/C][/ROW]
[ROW][C]MILDNSMK[/C][C]2[/C][C]3[/C][C]4[/C][C]4[/C][C]5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=258188&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=258188&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
HOTSMK23456
MILDSMK233.557
HOTNSMK678910
MILDNSMK23445






Boxplot Means
Variabletrimmed meanunbiased SD
HOTSMK4.111.28
MILDSMK3.781.4
HOTNSMK8.111.28
MILDNSMK3.671.14

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
HOTSMK & 4.11 & 1.28 \tabularnewline
MILDSMK & 3.78 & 1.4 \tabularnewline
HOTNSMK & 8.11 & 1.28 \tabularnewline
MILDNSMK & 3.67 & 1.14 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=258188&T=2

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]HOTSMK[/C][C]4.11[/C][C]1.28[/C][/ROW]
[ROW][C]MILDSMK[/C][C]3.78[/C][C]1.4[/C][/ROW]
[ROW][C]HOTNSMK[/C][C]8.11[/C][C]1.28[/C][/ROW]
[ROW][C]MILDNSMK[/C][C]3.67[/C][C]1.14[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=258188&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=258188&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
HOTSMK4.111.28
MILDSMK3.781.4
HOTNSMK8.111.28
MILDNSMK3.671.14


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = FALSE ; par3 = 5 ;
Parameters (R input):
par1 = 2 ; par2 = FALSE ; par3 = 5 ;
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(unlist(z[i]), trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(unlist(z[i]), na.rm=TRUE), digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')