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Author's title

Author*The author of this computation has been verified*
R Software ModuleIan.Hollidayrwasp_CARE Data Boxplot.wasp
Title produced by softwareCARE Data - Boxplots and Scatterplot Matrix
Date of computationMon, 25 Oct 2010 23:18:08 +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/2010/Oct/26/t1288048626sn7la2x2n1yqgbd.htm/, Retrieved Sat, 27 Apr 2024 15:00:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=88704, Retrieved Sat, 27 Apr 2024 15:00:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120
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]
-           [CARE Data - Boxplots and Scatterplot Matrix] [compendium 3 q1] [2010-10-24 15:04:45] [1c0689626c7c7484f03683a6bd9607af]
-    D          [CARE Data - Boxplots and Scatterplot Matrix] [0% trimmings ] [2010-10-25 23:18:08] [af3c313ec47d935ee1cd41bb772b2a2c] [Current]
-   PD            [CARE Data - Boxplots and Scatterplot Matrix] [trimming to 5% co...] [2010-10-25 23:24:09] [1c0689626c7c7484f03683a6bd9607af]
-   PD              [CARE Data - Boxplots and Scatterplot Matrix] [Trimmed to 10% co...] [2010-10-25 23:30:38] [1c0689626c7c7484f03683a6bd9607af]
-   PD                [CARE Data - Boxplots and Scatterplot Matrix] [Trimmed to 20% co...] [2010-10-25 23:35:04] [1c0689626c7c7484f03683a6bd9607af]
-   P                 [CARE Data - Boxplots and Scatterplot Matrix] [10% trimming with...] [2010-10-25 23:40:37] [1c0689626c7c7484f03683a6bd9607af]
-    D                  [CARE Data - Boxplots and Scatterplot Matrix] [10% trimming with...] [2010-10-26 00:01:22] [1c0689626c7c7484f03683a6bd9607af]
-   PD                    [CARE Data - Boxplots and Scatterplot Matrix] [0% trimming with ...] [2010-10-26 00:11:24] [1c0689626c7c7484f03683a6bd9607af]
-   PD                [CARE Data - Boxplots and Scatterplot Matrix] [yr 10 data ] [2010-10-26 13:11:25] [a88d4f8d31dfea292b0820825eeec6b4]
-   P                   [CARE Data - Boxplots and Scatterplot Matrix] [yr 10 data trimme...] [2010-10-26 13:16:47] [a88d4f8d31dfea292b0820825eeec6b4]
-   P                     [CARE Data - Boxplots and Scatterplot Matrix] [yr 10 data trimme...] [2010-10-26 13:20:53] [a88d4f8d31dfea292b0820825eeec6b4]
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Dataseries X:
58	62	64	63	60
58	62	64	63	60
58	62	64	63	60
58	62	64	63	60
58	68	66	64	63
59	70	68	67	63
62	71	69	68	66
63	71	70	69	67
68	72	70	69	67
68	72	71	69	69
70	72	72	70	70
70	72	72	70	70
71	72	73	72	71
71	72	74	72	71
73	72	74	73	73
73	72	75	73	73
74	72	77	75	74
75	72	77	77	75
75	73	77	77	75
75	74	78	77	75
75	74	78	78	77
77	75	78	79	78
77	75	78	79	78
77	75	78	80	79
77	75	78	80	79
78	75	78	81	79
78	75	79	81	79
78	75	79	81	79
80	77	79	82	80
80	77	79	82	81
80	78	80	82	81
80	78	81	82	81
80	78	81	82	82
80	78	81	83	82
80	79	82	83	82
80	79	82	83	82
80	79	82	83	82
81	80	82	83	82
81	80	83	83	82
81	81	83	83	82
82	81	83	83	82
82	81	83	84	83
82	82	84	84	83
82	82	84	84	83
82	82	84	84	84
82	82	84	85	84
83	82	84	86	84
83	82	84	86	84
84	82	84	86	85
84	82	85	86	85
84	82	86	87	85
84	82	86	87	85
84	84	86	87	85
84	85	86	88	85
84	85	86	88	85
84	85	86	88	85
85	86	87	88	85
85	87	87	88	85
86	87	87	88	85
86	87	87	88	86
86	87	87	88	86
86	88	87	88	86
86	88	87	89	86
86	88	88	89	87
86	88	88	89	87
86	88	88	89	87
86	88	88	89	87
86	89	88	89	87
86	89	89	89	87
86	89	89	89	87
86	90	89	90	88
87	90	90	90	88
87	90	90	90	88
87	90	90	91	88
87	90	90	91	88
87	91	90	91	89
87	91	90	91	89
88	91	91	91	89
88	91	91	91	89
88	91	92	92	90
88	91	92	92	90
89	91	92	92	90
89	91	92	92	91
89	91	93	92	91
89	92	94	92	92
89	92	95	93	92
89	92	95	93	92
89	92	95	93	92
89	92	95	93	92
90	92	95	94	92
90	92	95	94	92
90	93	95	94	92
90	93	96	94	93
90	93	96	94	93
90	93	96	95	93
90	93	96	95	93
90	93	96	95	93
90	95	97	95	94
91	95	97	96	94
91	95	97	96	94
91	95	98	96	95
91	95	98	96	95
91	95	98	96	95
92	95	98	97	95
92	95	99	97	95
92	95	99	97	95
92	95	99	97	95
92	95	99	97	95
92	95	100	97	97
92	96	100	97	97
94	97	100	98	97
94	97	101	98	97
94	97	102	98	97
95	97	102	98	97
95	97	102	98	97
95	97	102	98	97
96	97	103	98	97
96	97	103	98	98
97	97	103	99	99
97	97	104	99	99
97	98	104	99	99
98	98	105	99	99
98	99	105	100	100
98	100	105	100	100
98	100	106	100	100
98	100	106	100	100
98	102	106	100	101
98	102	106	101	102
98	102	108	101	103
98	102	108	101	104
98	102	108	101	104
98	102	108	102	104
98	102	109	102	104
99	102	109	102	105
99	102	109	102	105
99	104	109	102	105
99	104	109	102	106
102	104	109	102	107
102	104	109	103	108
102	105	109	103	109
102	105	110	103	109
102	105	110	103	109
102	105	111	104	109
104	105	111	104	109
104	105	112	105	110
104	106	112	106	111
105	106	112	108	112
105	108	114	108	112
106	109	114	108	113
107	109	114	108	114
110	110	116	108	114
112	110	116	108	114
112	110	117	109	114
112	110	118	110	117
113	111	120	110	118
113	113	121	113	118
113	113	121	113	118
114	113	122	114	118
117	114	123	119	121
117	114	123	119	121
117	114	123	119	121
117	114	123	119	121




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88704&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88704&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88704&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
WJ7ARD588288.598117
WJ7AMA62819198114
WJ7AWL648392105123
WJ7AKN63839299119
WJ7ASK60829099121

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ7ARD & 58 & 82 & 88.5 & 98 & 117 \tabularnewline
WJ7AMA & 62 & 81 & 91 & 98 & 114 \tabularnewline
WJ7AWL & 64 & 83 & 92 & 105 & 123 \tabularnewline
WJ7AKN & 63 & 83 & 92 & 99 & 119 \tabularnewline
WJ7ASK & 60 & 82 & 90 & 99 & 121 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88704&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]WJ7ARD[/C][C]58[/C][C]82[/C][C]88.5[/C][C]98[/C][C]117[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]62[/C][C]81[/C][C]91[/C][C]98[/C][C]114[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]64[/C][C]83[/C][C]92[/C][C]105[/C][C]123[/C][/ROW]
[ROW][C]WJ7AKN[/C][C]63[/C][C]83[/C][C]92[/C][C]99[/C][C]119[/C][/ROW]
[ROW][C]WJ7ASK[/C][C]60[/C][C]82[/C][C]90[/C][C]99[/C][C]121[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88704&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88704&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
WJ7ARD588288.598117
WJ7AMA62819198114
WJ7AWL648392105123
WJ7AKN63839299119
WJ7ASK60829099121







Boxplot Means
Variabletrimmed meanunbiased SD
WJ7ARD88.6812.64
WJ7AMA90.1712.52
WJ7AWL93.3614.38
WJ7AKN91.4112.07
WJ7ASK91.1913.9

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ7ARD & 88.68 & 12.64 \tabularnewline
WJ7AMA & 90.17 & 12.52 \tabularnewline
WJ7AWL & 93.36 & 14.38 \tabularnewline
WJ7AKN & 91.41 & 12.07 \tabularnewline
WJ7ASK & 91.19 & 13.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88704&T=2

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]WJ7ARD[/C][C]88.68[/C][C]12.64[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]90.17[/C][C]12.52[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]93.36[/C][C]14.38[/C][/ROW]
[ROW][C]WJ7AKN[/C][C]91.41[/C][C]12.07[/C][/ROW]
[ROW][C]WJ7ASK[/C][C]91.19[/C][C]13.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88704&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88704&T=2

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
WJ7ARD88.6812.64
WJ7AMA90.1712.52
WJ7AWL93.3614.38
WJ7AKN91.4112.07
WJ7ASK91.1913.9



Parameters (Session):
par1 = 3 ; par2 = FALSE ; par3 = 0 ;
Parameters (R input):
par1 = 3 ; par2 = FALSE ; par3 = 0 ;
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')