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of Irreproducible Research!

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 computationTue, 16 Oct 2012 05:34:27 -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/2012/Oct/16/t1350380079slgjl6gyc9uw0hl.htm/, Retrieved Tue, 30 Apr 2024 16:40:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=178411, Retrieved Tue, 30 Apr 2024 16:40:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact58
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] [Year 10 - Notched...] [2012-10-16 09:34:27] [6e49d1f86e7dabee930b4757d3fb70c3] [Current]
- R PD            [CARE Data - Boxplots and Scatterplot Matrix] [Week 2. Peer revi...] [2012-10-22 10:54:46] [39b2ffe2f061c1fede09689fea972fcf]
- R PD            [CARE Data - Boxplots and Scatterplot Matrix] [Three Variables] [2012-10-22 11:30:59] [8d0ae6bb68b60bd80ccbdaf35b28fa22]
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Dataseries X:
74	71	69	67	73
74	71	69	67	73
74	71	69	67	73
74	71	69	67	73
74	71	69	67	73
74	71	69	67	73
75	72	75	69	73
77	72	77	72	74
78	73	79	72	75
79	77	79	73	77
79	77	81	73	77
80	78	81	73	77
80	78	83	73	78
81	79	83	75	79
81	79	83	77	80
82	79	83	78	81
82	80	84	79	81
83	80	84	80	82
83	80	84	80	82
84	80	84	81	82
85	81	84	81	82
85	81	84	82	82
85	81	85	83	82
85	82	85	83	83
86	82	85	83	83
86	82	86	84	83
86	82	86	84	83
87	82	86	84	83
88	82	86	84	83
88	84	86	84	84
88	84	86	84	84
88	85	86	84	84
88	86	87	84	84
88	86	87	85	84
88	86	87	86	85
89	86	87	86	86
89	86	87	87	86
89	86	87	87	86
89	86	88	87	86
90	86	88	87	87
90	87	88	88	88
91	88	88	88	88
91	88	88	88	88
91	88	88	89	89
91	88	88	89	89
91	89	88	89	89
91	89	88	89	89
91	89	88	89	89
91	90	89	89	89
91	90	89	89	90
92	90	90	90	90
92	91	90	90	90
92	91	90	90	90
93	91	91	90	90
93	91	91	90	91
94	91	91	90	91
94	92	92	90	91
94	92	92	91	92
94	92	92	91	92
95	92	92	91	92
95	92	93	92	92
95	92	93	92	92
95	92	93	94	92
96	92	93	94	92
96	93	93	94	93
97	94	94	94	93
97	94	94	94	93
97	95	94	94	93
97	95	94	95	93
97	95	95	95	93
98	95	95	96	94
98	95	95	96	94
98	96	95	96	94
98	96	95	96	95
98	96	96	96	95
98	97	97	97	96
98	97	97	97	96
98	97	99	98	96
100	98	100	98	97
100	98	101	98	97
100	99	101	100	97
102	100	101	100	98
102	100	102	101	98
102	100	102	102	98
102	102	102	103	98
102	103	102	104	99
103	103	103	105	99
103	103	103	105	100
104	104	103	105	100
104	105	104	105	100
106	105	104	105	100
106	105	105	106	101
106	105	105	106	102
107	105	105	107	104
108	108	105	107	104
112	109	105	107	105
112	111	105	110	107
113	112	108	110	107
114	112	113	111	107
114	112	113	111	107
114	112	113	111	107
114	112	113	111	107
114	112	113	111	107
114	112	113	111	NA




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=178411&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=178411&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=178411&T=0

As an alternative you can also use a 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'Gertrude Mary Cox' @ cox.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
WJ10AFS8388.59297102
WJ10AVA80869195102
WJ10ARD84879094102
WJ10AMA80869094.5103
WJ10AKN8285.5909398

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ10AFS & 83 & 88.5 & 92 & 97 & 102 \tabularnewline
WJ10AVA & 80 & 86 & 91 & 95 & 102 \tabularnewline
WJ10ARD & 84 & 87 & 90 & 94 & 102 \tabularnewline
WJ10AMA & 80 & 86 & 90 & 94.5 & 103 \tabularnewline
WJ10AKN & 82 & 85.5 & 90 & 93 & 98 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=178411&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]WJ10AFS[/C][C]83[/C][C]88.5[/C][C]92[/C][C]97[/C][C]102[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]80[/C][C]86[/C][C]91[/C][C]95[/C][C]102[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]84[/C][C]87[/C][C]90[/C][C]94[/C][C]102[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]80[/C][C]86[/C][C]90[/C][C]94.5[/C][C]103[/C][/ROW]
[ROW][C]WJ10AKN[/C][C]82[/C][C]85.5[/C][C]90[/C][C]93[/C][C]98[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=178411&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=178411&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
WJ10AFS8388.59297102
WJ10AVA80869195102
WJ10ARD84879094102
WJ10AMA80869094.5103
WJ10AKN8285.5909398







Boxplot Notches
Variablelower boundmedianupper bound
WJ10AFS90.369293.64
WJ10AVA89.269192.74
WJ10ARD88.659091.35
WJ10AMA88.369091.64
WJ10AKN88.559091.45

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
WJ10AFS & 90.36 & 92 & 93.64 \tabularnewline
WJ10AVA & 89.26 & 91 & 92.74 \tabularnewline
WJ10ARD & 88.65 & 90 & 91.35 \tabularnewline
WJ10AMA & 88.36 & 90 & 91.64 \tabularnewline
WJ10AKN & 88.55 & 90 & 91.45 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=178411&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]WJ10AFS[/C][C]90.36[/C][C]92[/C][C]93.64[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]89.26[/C][C]91[/C][C]92.74[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]88.65[/C][C]90[/C][C]91.35[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]88.36[/C][C]90[/C][C]91.64[/C][/ROW]
[ROW][C]WJ10AKN[/C][C]88.55[/C][C]90[/C][C]91.45[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=178411&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=178411&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Boxplot Notches
Variablelower boundmedianupper bound
WJ10AFS90.369293.64
WJ10AVA89.269192.74
WJ10ARD88.659091.35
WJ10AMA88.369091.64
WJ10AKN88.559091.45







Boxplot Means
Variabletrimmed meanunbiased SD
WJ10AFS92.655.073
WJ10AVA90.145.761
WJ10ARD90.335.106
WJ10AMA90.075.677
WJ10AKN89.74.921

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ10AFS & 92.65 & 5.073 \tabularnewline
WJ10AVA & 90.14 & 5.761 \tabularnewline
WJ10ARD & 90.33 & 5.106 \tabularnewline
WJ10AMA & 90.07 & 5.677 \tabularnewline
WJ10AKN & 89.7 & 4.921 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=178411&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]WJ10AFS[/C][C]92.65[/C][C]5.073[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]90.14[/C][C]5.761[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]90.33[/C][C]5.106[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]90.07[/C][C]5.677[/C][/ROW]
[ROW][C]WJ10AKN[/C][C]89.7[/C][C]4.921[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=178411&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=178411&T=3

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Boxplot Means
Variabletrimmed meanunbiased SD
WJ10AFS92.655.073
WJ10AVA90.145.761
WJ10ARD90.335.106
WJ10AMA90.075.677
WJ10AKN89.74.921



Parameters (Session):
par1 = grey ; par2 = FALSE ; par3 = 0 ; par4 = 1 ; par5 = 2 ;
Parameters (R input):
par1 = 3 ; par2 = TRUE ; par3 = 18 ;
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,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')