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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationFri, 12 Dec 2014 09:44:41 +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/Dec/12/t14183774865klormoaw81gfh9.htm/, Retrieved Thu, 16 May 2024 16:04:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266454, Retrieved Thu, 16 May 2024 16:04:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-01 13:07:12] [b98453cac15ba1066b407e146608df68]
- RMP   [Paired and Unpaired Two Samples Tests about the Mean] [] [2014-10-21 07:47:40] [32b17a345b130fdf5cc88718ed94a974]
-  M      [Paired and Unpaired Two Samples Tests about the Mean] [] [2014-10-29 10:04:32] [eee95947b6243a1febfcd5f41483d733]
- RMPD        [Notched Boxplots] [] [2014-12-12 09:44:41] [6b98cd673f8ceafd4bac153bb0cb23e9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
NA 26
57 NA
NA 37
67 NA
43 NA
52 NA
NA 52
43 NA
84 NA
67 NA
49 NA
70 NA
52 NA
NA 58
NA 68
NA 62
43 NA
NA 56
56 NA
NA 74
65 NA
63 NA
NA 58
57 NA
63 NA
53 NA
57 NA
NA 51
64 NA
NA 53
NA 29
NA 54
58 NA
43 NA
51 NA
53 NA
NA 54
56 NA
61 NA
NA 47
39 NA
48 NA
50 NA
35 NA
30 NA
NA 68
49 NA
61 NA
NA 67
47 NA
56 NA
50 NA
43 NA
67 NA
62 NA
57 NA
NA 41
54 NA
NA 45
48 NA
61 NA
NA 56
NA 41
43 NA
NA 53
44 NA
NA 66
58 NA
46 NA
NA 37
NA 51
NA 51
NA 56
66 NA
NA 37
59 NA
NA 42
38 NA
NA 66
NA 34
53 NA
NA 49
NA 55
NA 49
59 NA
NA 40
58 NA
60 NA
NA 63
NA 56
NA 54
52 NA
34 NA
69 NA
NA 32
48 NA
NA 67
58 NA
57 NA
42 NA
64 NA
58 NA
NA 66
26 NA
61 NA
52 NA
NA 51
NA 55
NA 50
NA 60
NA 56
NA 63
61 NA
52 NA
16 NA
46 NA
56 NA
NA 52
55 NA
50 NA
NA 59
60 NA
NA 52
NA 44
67 NA
52 NA
55 NA
37 NA
54 NA
72 NA
51 NA
48 NA
NA 60
50 NA
63 NA
33 NA
67 NA
46 NA
54 NA
NA 59
61 NA
33 NA
47 NA
69 NA
52 NA
NA 55
NA 41
73 NA
NA 52
NA 50
51 NA
NA 60
56 NA
56 NA
NA 29
66 NA
66 NA
73 NA
NA 55
NA 64
NA 40
NA 46
58 NA
NA 43
61 NA
NA 51
50 NA
NA 52
54 NA
NA 66
NA 61
80 NA
NA 51
56 NA
56 NA
56 NA
53 NA
47 NA
NA 25
47 NA
NA 46
NA 50
NA 39
51 NA
NA 58
35 NA
NA 58
NA 60
NA 62
NA 63
53 NA
46 NA
67 NA
59 NA
NA 64
NA 38
50 NA
NA 48
NA 48
NA 47
NA 66
47 NA
63 NA
NA 58
NA 44
51 NA
NA 43
55 NA
38 NA
NA 45
50 NA
54 NA
57 NA
NA 60
NA 55
NA 56
49 NA
37 NA
59 NA
46 NA
NA 51
NA 58
NA 64
53 NA
48 NA
NA 51
NA 47
NA 59
62 NA
62 NA
NA 51
NA 64
NA 52
67 NA
50 NA
54 NA
58 NA
NA 56
63 NA
31 NA
65 NA
NA 71
NA 50
57 NA
NA 47
47 NA
57 NA
NA 43
41 NA
NA 63
63 NA
56 NA
NA 51
50 NA
NA 22
41 NA
NA 59
56 NA
NA 66
NA 53
42 NA
52 NA
NA 54
44 NA
62 NA
NA 53
50 NA
NA 36
NA 76
66 NA
62 NA
NA 59
47 NA
NA 55
NA 58
60 NA
NA 44
NA 57
45 NA

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266454&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266454&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266454&T=0

As an alternative you can also use a QR Code:  
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'Gwilym Jenkins' @ jenkins.wessa.net






\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
IM_M & 30 & 48 & 54 & 61 & 80 \tabularnewline
IM_F & 29 & 47 & 53 & 59 & 76 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266454&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]IM_M[/C][C]30[/C][C]48[/C][C]54[/C][C]61[/C][C]80[/C][/ROW]
[ROW][C]IM_F[/C][C]29[/C][C]47[/C][C]53[/C][C]59[/C][C]76[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266454&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266454&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
IM_M3048546180
IM_F2947535976






Boxplot Notches
Variablelower boundmedianupper bound
IM_M52.37107204293495455.6289279570651
IM_F51.26919671828375354.7308032817163

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
IM_M & 52.3710720429349 & 54 & 55.6289279570651 \tabularnewline
IM_F & 51.2691967182837 & 53 & 54.7308032817163 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266454&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]IM_M[/C][C]52.3710720429349[/C][C]54[/C][C]55.6289279570651[/C][/ROW]
[ROW][C]IM_F[/C][C]51.2691967182837[/C][C]53[/C][C]54.7308032817163[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266454&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266454&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot Notches
Variablelower boundmedianupper bound
IM_M52.37107204293495455.6289279570651
IM_F51.26919671828375354.7308032817163


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ;
R code (references can be found in the software module):
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,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,r$stats[j,i])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,r$conf[1,i])
a<-table.element(a,r$stats[3,i])
a<-table.element(a,r$conf[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')