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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 07:33:39 +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/t1416296049bs1gnudkdbcufjq.htm/, Retrieved Sun, 19 May 2024 13:20:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=255901, Retrieved Sun, 19 May 2024 13:20:32 +0000
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Original text written by user:means
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124
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] [e39fc68391dbe44b410b5b37ff76fe51] [Current]
-    D                    [Boxplot and Trimmed Means] [workshop 5 questi...] [2014-11-18 10:40:12] [a91ace8782d186af36a1ef4124b46fc7]
-                           [Boxplot and Trimmed Means] [Workshop 5 q2] [2014-11-18 10:41:05] [a91ace8782d186af36a1ef4124b46fc7]
- RM                        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Workshop 5 q2] [2014-11-18 10:52:38] [a91ace8782d186af36a1ef4124b46fc7]
- R  D                      [Boxplot and Trimmed Means] [workshop 5 questi...] [2014-11-18 11:12:49] [a91ace8782d186af36a1ef4124b46fc7]
- RM D                      [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [workshop 5 questi...] [2014-11-18 11:22:52] [a91ace8782d186af36a1ef4124b46fc7]
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Dataseries X:
6	36	88
8	56	94
8	48	90
7	32	73
5	44	68
7	39	80
8	34	86
9	41	86
9	50	91
3	39	79
9	62	96
7	52	92
9	37	72
8	50	96
6	41	70
7	55	86
8	41	87
9	56	88
7	39	79
6	52	90
8	46	95
7	44	85
8	41	90
9	50	115
9	50	84
7	44	79
4	52	94
7	54	97
7	44	86
9	52	111
7	37	87
9	52	98
10	50	87
5	36	68
6	50	88
9	52	82
9	55	111
8	31	75
6	36	94
6	49	95
5	42	80
8	37	95
8	41	68
5	30	94
6	52	88
9	30	84
4	44	101
8	66	98
9	48	78
7	43	109
7	57	102
6	46	81
9	54	97
9	48	75
8	48	97
6	62	101
10	58	101
8	58	95
7	62	95
8	46	95
3	34	90
8	66	107
10	52	92
7	55	86
5	55	70
10	57	95
5	56	96
8	55	91
9	56	87
6	54	92
9	55	97
8	46	102
5	52	91
8	32	68
3	44	88
7	46	97
8	59	90
10	46	101
9	46	94
10	54	101
9	66	109
8	56	100
8	59	103
8	57	94
9	52	97
4	48	85
6	44	75
7	41	77
4	50	87
9	48	78
7	48	108
8	59	97
	34	105
8	46	106
7	54	107
7	55	95
9	54	107
8	59	115
8	44	101
9	54	85
9	52	90
10	66	115
7	44	95
8	57	97
5	39	112
9	60	97
8	45	77
7	41	90
8	50	94
8	39	103
7	43	77
6	48	98
7	37	90
7	58	111
6	46	77
6	43	88
7	44	75
9	34	92
6	30	78
10	50	106
4	39	80
8	37	87
7	55	92
5	39	86
9	36	85
8	43	90
9	50	101
8	55	94
8	43	86
9	60	86
8	48	90
9	30	75
7	43	86
6	39	91
8	52	97
6	39	91
5	39	70
3	56	98
6	59	96
8	46	95
7	57	100
8	50	95
6	54	97
9	50	97
9	60	92
10	59	115
7	41	88
5	48	87
8	59	100
9	60	98
8	56	102
4	51	96




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255901&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255901&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255901&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'Gertrude Mary Cox' @ cox.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
MWARM303794466
MC30VRB30475690115
WISCRY7V387994115

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
MWARM30 & 3 & 7 & 9 & 44 & 66 \tabularnewline
MC30VRB & 30 & 47 & 56 & 90 & 115 \tabularnewline
WISCRY7V & 3 & 8 & 79 & 94 & 115 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255901&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]3[/C][C]7[/C][C]9[/C][C]44[/C][C]66[/C][/ROW]
[ROW][C]MC30VRB[/C][C]30[/C][C]47[/C][C]56[/C][C]90[/C][C]115[/C][/ROW]
[ROW][C]WISCRY7V[/C][C]3[/C][C]8[/C][C]79[/C][C]94[/C][C]115[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255901&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255901&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
MWARM303794466
MC30VRB30475690115
WISCRY7V387994115







Boxplot Notches
Variablelower boundmedianupper bound
MWARM304.26913.74
MC30VRB50.495661.51
WISCRY7V67.987990.02

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
MWARM30 & 4.26 & 9 & 13.74 \tabularnewline
MC30VRB & 50.49 & 56 & 61.51 \tabularnewline
WISCRY7V & 67.98 & 79 & 90.02 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255901&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]4.26[/C][C]9[/C][C]13.74[/C][/ROW]
[ROW][C]MC30VRB[/C][C]50.49[/C][C]56[/C][C]61.51[/C][/ROW]
[ROW][C]WISCRY7V[/C][C]67.98[/C][C]79[/C][C]90.02[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255901&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255901&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
MWARM304.26913.74
MC30VRB50.495661.51
WISCRY7V67.987990.02







Boxplot Means
Variabletrimmed meanunbiased SD
MWARM3023.420.68
MC30VRB66.2824.14
WISCRY7V57.4641.42

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
MWARM30 & 23.4 & 20.68 \tabularnewline
MC30VRB & 66.28 & 24.14 \tabularnewline
WISCRY7V & 57.46 & 41.42 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255901&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]23.4[/C][C]20.68[/C][/ROW]
[ROW][C]MC30VRB[/C][C]66.28[/C][C]24.14[/C][/ROW]
[ROW][C]WISCRY7V[/C][C]57.46[/C][C]41.42[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255901&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255901&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
MWARM3023.420.68
MC30VRB66.2824.14
WISCRY7V57.4641.42



Parameters (Session):
par1 = 5 ; par2 = 3 ; par3 = 4 ; par4 = 2 ; par5 = 1 ;
Parameters (R input):
par1 = 5 ; par2 = 3 ; par3 = 0 ;
R code (references can be found in the software module):
par3 <- '0'
par2 <- 'TRUE'
par1 <- '3'
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')