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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 computationFri, 01 Jun 2012 05:55:50 -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/Jun/01/t1338544587tpx72fyg135rtad.htm/, Retrieved Sun, 28 Apr 2024 22:15:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168477, Retrieved Sun, 28 Apr 2024 22:15:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Aston University Statistical Software] [Morning Sickness ...] [2009-11-16 16:26:06] [74be16979710d4c4e7c6647856088456]
- R     [Aston University Statistical Software] [Morning Sickness ...] [2009-11-16 17:22:16] [74be16979710d4c4e7c6647856088456]
-   P     [T-Tests] [Morning Sickness ...] [2010-11-09 11:12:43] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM        [T-Tests] [Morning Sickness ...] [2011-11-07 09:34:35] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P         [T-Tests] [Scenario1] [2011-11-10 21:26:27] [1f171d1ca9c2c46c2a686cab36883fde]
-   P           [T-Tests] [scenario12] [2011-11-13 20:10:16] [1f171d1ca9c2c46c2a686cab36883fde]
- RMPD              [CARE Data - Boxplots and Scatterplot Matrix] [q2] [2012-06-01 09:55:50] [15870c5bb7284e48fbd6978b0b49b924] [Current]
- RMP                 [T-Tests] [q2] [2012-06-01 10:07:51] [1f171d1ca9c2c46c2a686cab36883fde]
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Dataseries X:
77	77
58	51
53	54
68	70
59	59
76	76
76	77
69	73
71	71
65	64
70	75
166	56
51	52
64	64
52	57
65	66
92	101
62	62
76	75
61	61
119	124
61	61
65	66
66	70
54	59
50	50
63	61
58	60
39	41
101	100
71	71
75	73
79	76
52	52
68	63
64	65
56	54
69	69
88	86
65	67
54	53
80	80
63	59
78	80
85	82
54	55
73	76
49	57
54	56
75	75
82	85
56	57
74	73
102	107
64	77
65	64
66	65
73	74
75	70
57	58
68	69
71	71
71	76
78	75
97	98
60	59
64	63
64	62
52	51
80	76
62	61
66	66
55	54
56	57
50	50
50	57
50	55
63	64
69	70
69	70
61	60
55	56
53	52
60	55
56	56
59	61
62	66
53	53
57	59
57	56
70	68
56	56
84	86
69	71
88	87
56	57
103	101
50	50
52	52
55	57
55	55
63	63
47	47
45	45
62	63
53	51
52	51
57	55
64	64
59	55
84	90
79	79
55	57
67	67
76	77
62	62
83	83
96	94
75	76
65	66
78	77
69	73
68	68
55	55
67	77
52	56
47	57
45	45
68	68
44	44
62	61
87	89
56	53
50	47
83	84
53	53
64	62
62	57
90	91
85	83
66	68
52	53
53	55
54	55
64	66
55	55
55	55
59	55
70	67
88	86
57	58
47	47
47	45
55	57
48	44
54	58
69	68
59	57
58	57
57	56
51	50
54	54
53	52
59	58
56	58
59	59
63	62
66	66
96	95
53	50
76	75
54	57
61	61
82	77
62	64
71	68
60	57
66	67
81	82
68	68
80	78
43	57
82	77
63	59
70	70
56	56
60	55
58	54
76	75
50	49
88	93
89	86
59	59
51	51
62	61
74	71
83	80
81	77
90	91
79	81




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=168477&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=168477&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168477&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
weight39556374102
repweight 41566275101

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
weight & 39 & 55 & 63 & 74 & 102 \tabularnewline
repweight
 & 41 & 56 & 62 & 75 & 101 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168477&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]weight[/C][C]39[/C][C]55[/C][C]63[/C][C]74[/C][C]102[/C][/ROW]
[ROW][C]repweight
[/C][C]41[/C][C]56[/C][C]62[/C][C]75[/C][C]101[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168477&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168477&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
weight39556374102
repweight 41566275101







Boxplot Notches
Variablelower boundmedianupper bound
weight60.886365.12
repweight 59.886264.12

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
weight & 60.88 & 63 & 65.12 \tabularnewline
repweight
 & 59.88 & 62 & 64.12 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168477&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]weight[/C][C]60.88[/C][C]63[/C][C]65.12[/C][/ROW]
[ROW][C]repweight
[/C][C]59.88[/C][C]62[/C][C]64.12[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168477&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168477&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
weight60.886365.12
repweight 59.886264.12







Boxplot Means
Variabletrimmed meanunbiased SD
weight65.815.1
repweight 65.4813.47

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
weight & 65.8 & 15.1 \tabularnewline
repweight
 & 65.48 & 13.47 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168477&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]weight[/C][C]65.8[/C][C]15.1[/C][/ROW]
[ROW][C]repweight
[/C][C]65.48[/C][C]13.47[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168477&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168477&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
weight65.815.1
repweight 65.4813.47



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):
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')