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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_BoxplotAndScatterplotMatrix.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationTue, 18 Nov 2014 11:12:49 +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/2014/Nov/18/t1416309191t955buvz382g5zp.htm/, Retrieved Sun, 19 May 2024 14:33:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=255975, Retrieved Sun, 19 May 2024 14:33:59 +0000
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Original text written by user:means
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA wit...] [2009-11-29 13:09:19] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA for...] [2009-12-01 13:05:10] [3fdd735c61ad38cbc9b3393dc997cdb7]
- R P     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [CARE date with Tu...] [2009-12-01 18:33:48] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [CARE Data with Tu...] [2010-11-23 12:09:38] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [IQ and Mothers Age] [2011-11-21 16:34:08] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Workshop 1 q1] [2014-11-18 06:43:22] [a91ace8782d186af36a1ef4124b46fc7]
-                 [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [w1] [2014-11-18 06:45:18] [a91ace8782d186af36a1ef4124b46fc7]
- RM D              [Boxplot and Trimmed Means] [workshop 5 q1] [2014-11-18 07:17:43] [a91ace8782d186af36a1ef4124b46fc7]
- R  D                [Boxplot and Trimmed Means] [Workshop5 question1] [2014-11-18 07:33:39] [a91ace8782d186af36a1ef4124b46fc7]
-    D                  [Boxplot and Trimmed Means] [workshop 5 questi...] [2014-11-18 10:40:12] [a91ace8782d186af36a1ef4124b46fc7]
- R  D                      [Boxplot and Trimmed Means] [workshop 5 questi...] [2014-11-18 11:12:49] [e39fc68391dbe44b410b5b37ff76fe51] [Current]
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Dataseries X:
1	36	88
2	56	94
2	48	90
2	32	73
1	44	68
2	39	80
2	34	86
3	41	86
3	50	91
1	39	79
3	62	96
2	52	92
3	37	72
2	50	96
1	41	70
2	55	86
2	41	87
3	56	88
2	39	79
1	52	90
2	46	95
2	44	85
2	41	90
3	50	115
3	50	84
2	44	79
1	52	94
2	54	97
2	44	86
3	52	111
2	37	87
3	52	98
3	50	87
1	36	68
1	50	88
3	52	82
3	55	111
2	31	75
1	36	94
1	49	95
1	42	80
2	37	95
2	41	68
1	30	94
1	52	88
3	30	84
1	44	101
2	66	98
3	48	78
2	43	109
2	57	102
1	46	81
3	54	97
3	48	75
2	48	97
1	62	101
3	58	101
2	58	95
2	62	95
2	46	95
1	34	90
2	66	107
3	52	92
2	55	86
1	55	70
3	57	95
1	56	96
2	55	91
3	56	87
1	54	92
3	55	97
2	46	102
1	52	91
2	32	68
1	44	88
2	46	97
2	59	90
3	46	101
3	46	94
3	54	101
3	66	109
2	56	100
2	59	103
2	57	94
3	52	97
1	48	85
1	44	75
2	41	77
1	50	87
3	48	78
2	48	108
2	59	97
2	46	106
2	54	107
2	55	95
3	54	107
2	59	115
2	44	101
3	54	85
3	52	90
3	66	115
2	44	95
2	57	97
1	39	112
3	60	97
2	45	77
2	41	90
2	50	94
2	39	103
2	43	77
1	48	98
2	37	90
2	58	111
1	46	77
1	43	88
2	44	75
3	34	92
1	30	78
3	50	106
1	39	80
2	37	87
2	55	92
1	39	86
3	36	85
2	43	90
3	50	101
2	55	94
2	43	86
3	60	86
2	48	90
3	30	75
2	43	86
1	39	91
2	52	97
1	39	91
1	39	70
1	56	98
1	59	96
2	46	95
2	57	100
2	50	95
1	54	97
3	50	97
3	60	92
3	59	115
2	41	88
1	48	87
2	59	100
3	60	98
2	56	102
1	51	96




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.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=255975&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' @ jenkins.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=255975&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255975&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' @ jenkins.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
MWARM3011233
MC30VRB3042.5495566
WISCRY7V 70869297112

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
MWARM30 & 1 & 1 & 2 & 3 & 3 \tabularnewline
MC30VRB & 30 & 42.5 & 49 & 55 & 66 \tabularnewline
WISCRY7V
 & 70 & 86 & 92 & 97 & 112 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255975&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]MWARM30[/C][C]1[/C][C]1[/C][C]2[/C][C]3[/C][C]3[/C][/ROW]
[ROW][C]MC30VRB[/C][C]30[/C][C]42.5[/C][C]49[/C][C]55[/C][C]66[/C][/ROW]
[ROW][C]WISCRY7V
[/C][C]70[/C][C]86[/C][C]92[/C][C]97[/C][C]112[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255975&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255975&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
MWARM3011233
MC30VRB3042.5495566
WISCRY7V 70869297112







Boxplot Notches
Variablelower boundmedianupper bound
MWARM301.7422.26
MC30VRB47.394950.61
WISCRY7V 90.599293.41

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
MWARM30 & 1.74 & 2 & 2.26 \tabularnewline
MC30VRB & 47.39 & 49 & 50.61 \tabularnewline
WISCRY7V
 & 90.59 & 92 & 93.41 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255975&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]MWARM30[/C][C]1.74[/C][C]2[/C][C]2.26[/C][/ROW]
[ROW][C]MC30VRB[/C][C]47.39[/C][C]49[/C][C]50.61[/C][/ROW]
[ROW][C]WISCRY7V
[/C][C]90.59[/C][C]92[/C][C]93.41[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255975&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255975&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
MWARM301.7422.26
MC30VRB47.394950.61
WISCRY7V 90.599293.41







Boxplot Means
Variabletrimmed meanunbiased SD
MWARM302.010.74
MC30VRB48.38.52
WISCRY7V 91.4710.66

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
MWARM30 & 2.01 & 0.74 \tabularnewline
MC30VRB & 48.3 & 8.52 \tabularnewline
WISCRY7V
 & 91.47 & 10.66 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255975&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]MWARM30[/C][C]2.01[/C][C]0.74[/C][/ROW]
[ROW][C]MC30VRB[/C][C]48.3[/C][C]8.52[/C][/ROW]
[ROW][C]WISCRY7V
[/C][C]91.47[/C][C]10.66[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255975&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255975&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
MWARM302.010.74
MC30VRB48.38.52
WISCRY7V 91.4710.66



Parameters (Session):
par1 = 5 ; par2 = 3 ; par3 = 4 ; par4 = 2 ; par5 = 1 ;
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,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(unlist(z[i]), trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(unlist(z[i]), na.rm=TRUE), digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')