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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_CARE Data Boxplot.wasp

Title produced by software

CARE Data - Boxplots and Scatterplot Matrix

Date of computation

Sun, 14 Oct 2012 08:24:02 -0400

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/14/t1350217470e3e3zmhezje5xcp.htm/, Retrieved Sun, 28 Apr 2024 06:36:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=176110, Retrieved Sun, 28 Apr 2024 06:36:29 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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  D          [CARE Data - Boxplots and Scatterplot Matrix] [year 10- 3 variables] [2012-10-14 12:24:02] [4ab5704ae4f56c211390cb70e8a77bb1] [Current]

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Dataseries X:

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Histogram

Boxplots

71	69	67
71	69	67
71	69	67
71	69	67
71	69	67
71	69	67
72	75	69
72	77	72
73	79	72
77	79	73
77	81	73
78	81	73
78	83	73
79	83	75
79	83	77
79	83	78
80	84	79
80	84	80
80	84	80
80	84	81
81	84	81
81	84	82
81	85	83
82	85	83
82	85	83
82	86	84
82	86	84
82	86	84
82	86	84
84	86	84
84	86	84
85	86	84
86	87	84
86	87	85
86	87	86
86	87	86
86	87	87
86	87	87
86	88	87
86	88	87
87	88	88
88	88	88
88	88	88
88	88	89
88	88	89
89	88	89
89	88	89
89	88	89
90	89	89
90	89	89
90	90	90
91	90	90
91	90	90
91	91	90
91	91	90
91	91	90
92	92	90
92	92	91
92	92	91
92	92	91
92	93	92
92	93	92
92	93	94
92	93	94
93	93	94
94	94	94
94	94	94
95	94	94
95	94	95
95	95	95
95	95	96
95	95	96
96	95	96
96	95	96
96	96	96
97	97	97
97	97	97
97	99	98
98	100	98
98	101	98
99	101	100
100	101	100
100	102	101
100	102	102
102	102	103
103	102	104
103	103	105
103	103	105
104	103	105
105	104	105
105	104	105
105	105	106
105	105	106
105	105	107
108	105	107
109	105	107
111	105	110
112	108	110
112	113	111
112	113	111
112	113	111
112	113	111
112	113	111
112	113	111

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.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=176110&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]'Sir Maurice George Kendall' @ kendall.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=176110&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176110&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Maurice George Kendall' @ kendall.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
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
WJ10AVA	71	82	91	97.5	112
WJ10ARD	69	86	90	99.5	113
WJ10AMA	67	84	90	98	111

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ10AVA & 71 & 82 & 91 & 97.5 & 112 \tabularnewline
WJ10ARD & 69 & 86 & 90 & 99.5 & 113 \tabularnewline
WJ10AMA
 & 67 & 84 & 90 & 98 & 111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176110&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]WJ10AVA[/C][C]71[/C][C]82[/C][C]91[/C][C]97.5[/C][C]112[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]69[/C][C]86[/C][C]90[/C][C]99.5[/C][C]113[/C][/ROW]
[ROW][C]WJ10AMA
[/C][C]67[/C][C]84[/C][C]90[/C][C]98[/C][C]111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176110&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176110&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
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
WJ10AVA	71	82	91	97.5	112
WJ10ARD	69	86	90	99.5	113
WJ10AMA	67	84	90	98	111

Boxplot Means
Variable	trimmed mean	unbiased SD
WJ10AVA	90.72	11.14
WJ10ARD	91.53	10.4
WJ10AMA	90.35	11.84

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ10AVA & 90.72 & 11.14 \tabularnewline
WJ10ARD & 91.53 & 10.4 \tabularnewline
WJ10AMA
 & 90.35 & 11.84 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176110&T=2

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]90.72[/C][C]11.14[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]91.53[/C][C]10.4[/C][/ROW]
[ROW][C]WJ10AMA
[/C][C]90.35[/C][C]11.84[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176110&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176110&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
Variable	trimmed mean	unbiased SD
WJ10AVA	90.72	11.14
WJ10ARD	91.53	10.4
WJ10AMA	90.35	11.84

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code