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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_CARE Data Boxplot.wasp
Title produced by softwareCARE Data - Boxplots and Scatterplot Matrix
Date of computationSat, 24 Nov 2012 13:03:05 -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/Nov/24/t1353780207gr38lchw38b0t4p.htm/, Retrieved Sun, 28 Apr 2024 23:56:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=192499, Retrieved Sun, 28 Apr 2024 23:56:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Simple Linear Regression] [Regression Example] [2012-01-24 12:40:19] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD  [Histogram, QQplot and Density] [IQ Distribution] [2012-11-23 21:06:05] [b89020702d97f41d9c06a19d54611064]
- RMPD    [CARE Data - Boxplots and Scatterplot Matrix] [Boxplots and Scat...] [2012-11-23 21:18:55] [b89020702d97f41d9c06a19d54611064]
- R  D        [CARE Data - Boxplots and Scatterplot Matrix] [Grade and IQ uned...] [2012-11-24 18:03:05] [abfb337281be42b450cef391e295e18d] [Current]
- RMPD          [Boxplot and Trimmed Means] [IQ and Grade Dist...] [2012-11-27 12:29:18] [63c5866be3b93834f44e9250a298c831]
- R P             [Boxplot and Trimmed Means] [IQ and Grade Dist...] [2012-11-27 12:31:25] [63c5866be3b93834f44e9250a298c831]
- RMP             [CARE Data - Boxplots and Scatterplot Matrix] [IQ and Grade Dist...] [2012-11-27 12:34:39] [63c5866be3b93834f44e9250a298c831]
- RMP             [CARE Data - Boxplots and Scatterplot Matrix] [IQ and Grade Dist...] [2012-11-27 13:40:58] [63c5866be3b93834f44e9250a298c831]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
52	111
55	102
80	108
45	109
60	118
34	79
45	88
68	102
26	105
70	92
85	131
54	104
55	83
40	84
55	85
50	110
71	121
55	120
70	100
55	94
60	89
65	93
66	128
55	84
90	127
55	106
60	129
35	82
55	106
26	109
14	91
45	111
35	105
65	118
35	103
60	101
60	101
60	95
65	108
45	95
20	98
50	82
60	100
48	100
40	107
55	95
54	97
40	93
40	81
34	89
60	111
30	95
75	106
24	83
30	81
80	115
60	112
46	92
35	85
60	95
75	115
54	91
78	107
20	102
45	86
60	96
70	114
35	105
20	82
60	120
20	88
50	90
50	85
75	106
70	109
20	75
45	91
20	96
50	108
55	86
15	98
26	99
25	95
30	88
60	111
40	103
40	107
50	118

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 3 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=192499&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=192499&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=192499&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 time3 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Grade & 14 & 35 & 53 & 60 & 90 \tabularnewline
IQ & 75 & 90.5 & 100 & 108.5 & 131 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=192499&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]Grade[/C][C]14[/C][C]35[/C][C]53[/C][C]60[/C][C]90[/C][/ROW]
[ROW][C]IQ[/C][C]75[/C][C]90.5[/C][C]100[/C][C]108.5[/C][C]131[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=192499&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=192499&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
Grade1435536090
IQ7590.5100108.5131






Boxplot Notches
Variablelower boundmedianupper bound
Grade48.795357.21
IQ96.97100103

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Grade & 48.79 & 53 & 57.21 \tabularnewline
IQ & 96.97 & 100 & 103 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=192499&T=2

[TABLE]
[ROW][C]Boxplot Notches[/C][/ROW]
[ROW][C]Variable[/C][C]lower bound[/C][C]median[/C][C]upper bound[/C][/ROW]
[ROW][C]Grade[/C][C]48.79[/C][C]53[/C][C]57.21[/C][/ROW]
[ROW][C]IQ[/C][C]96.97[/C][C]100[/C][C]103[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=192499&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=192499&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 Notches
Variablelower boundmedianupper bound
Grade48.795357.21
IQ96.97100103






Boxplot Means
Variabletrimmed meanunbiased SD
Grade49.7217.53
IQ100.212.75

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
Grade & 49.72 & 17.53 \tabularnewline
IQ & 100.2 & 12.75 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=192499&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]Grade[/C][C]49.72[/C][C]17.53[/C][/ROW]
[ROW][C]IQ[/C][C]100.2[/C][C]12.75[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=192499&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=192499&T=3

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
Grade49.7217.53
IQ100.212.75


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 3 ; par2 = TRUE ; par3 = 0 ;
Parameters (R input):
par1 = 3 ; par2 = TRUE ; par3 = 0 ;
R code (references can be found in the software module):
par3 <- '0'
par2 <- 'TRUE'
par1 <- '3'
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,signif(r$stats[j,i], digits=4))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
if (par2){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,signif(r$conf[1,i], digits=4))
a<-table.element(a, signif(r$stats[3,i], digits=4))
a<-table.element(a,signif(r$conf[2,i], digits=4))
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,signif(mean(z[i], trim=par3/100, na.rm=TRUE), digits=4))
a<-table.element(a,signif(sd(z[i], na.rm=TRUE), digits=4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')