Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

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

Mon, 24 Oct 2011 19:27:25 -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/2011/Oct/24/t1319498891atnpl0ni2rau0ss.htm/, Retrieved Thu, 16 May 2024 19:25:17 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=135047, Retrieved Thu, 16 May 2024 19:25:17 +0000

QR Codes:

Paste this QR Code to cite your computation.

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           [CARE Data - Boxplots and Scatterplot Matrix] [Care School Full ...] [2011-10-20 12:28:37] [a1047ef3c0584e7c01ffb07a96a8e0b3]
-    D          [CARE Data - Boxplots and Scatterplot Matrix] [Trimmed by 5%] [2011-10-24 23:23:12] [a1047ef3c0584e7c01ffb07a96a8e0b3]
-    D            [CARE Data - Boxplots and Scatterplot Matrix] [Trimmed by 10%] [2011-10-24 23:26:24] [a1047ef3c0584e7c01ffb07a96a8e0b3]
-   P                 [CARE Data - Boxplots and Scatterplot Matrix] [Notched Boxes tri...] [2011-10-24 23:27:25] [5161ef9d5144606ec4d46be3f3be6a74] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

82	80	84	79	81
83	80	84	80	82
83	80	84	80	82
84	80	84	81	82
85	81	84	81	82
85	81	84	82	82
85	81	85	83	82
85	82	85	83	83
86	82	85	83	83
86	82	86	84	83
86	82	86	84	83
87	82	86	84	83
88	82	86	84	83
88	84	86	84	84
88	84	86	84	84
88	85	86	84	84
88	86	87	84	84
88	86	87	85	84
88	86	87	86	85
89	86	87	86	86
89	86	87	87	86
89	86	87	87	86
89	86	88	87	86
90	86	88	87	87
90	87	88	88	88
91	88	88	88	88
91	88	88	88	88
91	88	88	89	89
91	88	88	89	89
91	89	88	89	89
91	89	88	89	89
91	89	88	89	89
91	90	89	89	89
91	90	89	89	90
92	90	90	90	90
92	91	90	90	90
92	91	90	90	90
93	91	91	90	90
93	91	91	90	91
94	91	91	90	91
94	92	92	90	91
94	92	92	91	92
94	92	92	91	92
95	92	92	91	92
95	92	93	92	92
95	92	93	92	92
95	92	93	94	92
96	92	93	94	92
96	93	93	94	93
97	94	94	94	93
97	94	94	94	93
97	95	94	94	93
97	95	94	95	93
97	95	95	95	93
98	95	95	96	94
98	95	95	96	94
98	96	95	96	94
98	96	95	96	95
98	96	96	96	95
98	97	97	97	96
98	97	97	97	96
98	97	99	98	96
100	98	100	98	97
100	98	101	98	97
100	99	101	100	97
102	100	101	100	98
102	100	102	101	98
102	100	102	102	98
102	102	102	103	98
102	103	102	104	99
103	103	103	105	99
103	103	103	105	100

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=135047&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=135047&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=135047&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	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
WJ7ARD	82	88	92	97.5	103
WJ7AMA	80	86	91	95	103
WJ7AWL	84	87	90	95	103
WJ7AKN	79	85.5	90	95.5	105
WJ7ASK	81	84.5	90	93.5	100

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ7ARD & 82 & 88 & 92 & 97.5 & 103 \tabularnewline
WJ7AMA & 80 & 86 & 91 & 95 & 103 \tabularnewline
WJ7AWL & 84 & 87 & 90 & 95 & 103 \tabularnewline
WJ7AKN & 79 & 85.5 & 90 & 95.5 & 105 \tabularnewline
WJ7ASK & 81 & 84.5 & 90 & 93.5 & 100 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=135047&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]82[/C][C]88[/C][C]92[/C][C]97.5[/C][C]103[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]80[/C][C]86[/C][C]91[/C][C]95[/C][C]103[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]84[/C][C]87[/C][C]90[/C][C]95[/C][C]103[/C][/ROW]
[ROW][C]WJ7AKN[/C][C]79[/C][C]85.5[/C][C]90[/C][C]95.5[/C][C]105[/C][/ROW]
[ROW][C]WJ7ASK[/C][C]81[/C][C]84.5[/C][C]90[/C][C]93.5[/C][C]100[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=135047&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=135047&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
WJ7ARD	82	88	92	97.5	103
WJ7AMA	80	86	91	95	103
WJ7AWL	84	87	90	95	103
WJ7AKN	79	85.5	90	95.5	105
WJ7ASK	81	84.5	90	93.5	100

Boxplot Notches
Variable	lower bound	median	upper bound
WJ7ARD	90.23	92	93.77
WJ7AMA	89.32	91	92.68
WJ7AWL	88.51	90	91.49
WJ7AKN	88.14	90	91.86
WJ7ASK	88.32	90	91.68

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
WJ7ARD & 90.23 & 92 & 93.77 \tabularnewline
WJ7AMA & 89.32 & 91 & 92.68 \tabularnewline
WJ7AWL & 88.51 & 90 & 91.49 \tabularnewline
WJ7AKN & 88.14 & 90 & 91.86 \tabularnewline
WJ7ASK & 88.32 & 90 & 91.68 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=135047&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]WJ7ARD[/C][C]90.23[/C][C]92[/C][C]93.77[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]89.32[/C][C]91[/C][C]92.68[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]88.51[/C][C]90[/C][C]91.49[/C][/ROW]
[ROW][C]WJ7AKN[/C][C]88.14[/C][C]90[/C][C]91.86[/C][/ROW]
[ROW][C]WJ7ASK[/C][C]88.32[/C][C]90[/C][C]91.68[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=135047&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=135047&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
Variable	lower bound	median	upper bound
WJ7ARD	90.23	92	93.77
WJ7AMA	89.32	91	92.68
WJ7AWL	88.51	90	91.49
WJ7AKN	88.14	90	91.86
WJ7ASK	88.32	90	91.68

Boxplot Means
Variable	trimmed mean	unbiased SD
WJ7ARD	92.82	5.57
WJ7AMA	90.33	6.38
WJ7AWL	91.31	5.59
WJ7AKN	90.62	6.47
WJ7ASK	89.88	5.32

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ7ARD & 92.82 & 5.57 \tabularnewline
WJ7AMA & 90.33 & 6.38 \tabularnewline
WJ7AWL & 91.31 & 5.59 \tabularnewline
WJ7AKN & 90.62 & 6.47 \tabularnewline
WJ7ASK & 89.88 & 5.32 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=135047&T=3

[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]92.82[/C][C]5.57[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]90.33[/C][C]6.38[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]91.31[/C][C]5.59[/C][/ROW]
[ROW][C]WJ7AKN[/C][C]90.62[/C][C]6.47[/C][/ROW]
[ROW][C]WJ7ASK[/C][C]89.88[/C][C]5.32[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=135047&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=135047&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
Variable	trimmed mean	unbiased SD
WJ7ARD	92.82	5.57
WJ7AMA	90.33	6.38
WJ7AWL	91.31	5.59
WJ7AKN	90.62	6.47
WJ7ASK	89.88	5.32

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

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,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