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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 09:48:02 +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/t1418377689jmocgk3g9xw2i9c.htm/, Retrieved Thu, 16 May 2024 19:03:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266459, Retrieved Thu, 16 May 2024 19:03:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

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 09:48:02] [6b98cd673f8ceafd4bac153bb0cb23e9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
NA 26
NA 57
NA 37
NA 67
NA 43
NA 52
NA 52
NA 43
NA 84
NA 67
NA 49
NA 70
NA 52
NA 58
NA 68
62 NA
NA 43
NA 56
56 NA
NA 74
NA 65
NA 63
NA 58
NA 57
NA 63
NA 53
57 NA
51 NA
NA 64
NA 53
NA 29
NA 54
NA 58
NA 43
NA 51
NA 53
NA 54
56 NA
NA 61
NA 47
NA 39
NA 48
NA 50
NA 35
30 NA
NA 68
NA 49
61 NA
NA 67
47 NA
56 NA
50 NA
NA 43
67 NA
NA 62
NA 57
41 NA
NA 54
45 NA
48 NA
NA 61
NA 56
NA 41
NA 43
NA 53
44 NA
NA 66
NA 58
NA 46
37 NA
NA 51
NA 51
56 NA
66 NA
NA 37
NA 59
NA 42
38 NA
NA 66
34 NA
NA 53
49 NA
55 NA
49 NA
59 NA
40 NA
58 NA
60 NA
63 NA
56 NA
54 NA
52 NA
34 NA
69 NA
32 NA
48 NA
67 NA
58 NA
57 NA
42 NA
64 NA
58 NA
66 NA
26 NA
61 NA
52 NA
51 NA
55 NA
50 NA
60 NA
56 NA
63 NA
61 NA
NA 52
NA 16
NA 46
NA 56
52 NA
55 NA
NA 50
NA 59
NA 60
NA 52
NA 44
NA 67
NA 52
NA 55
NA 37
NA 54
72 NA
NA 51
NA 48
NA 60
NA 50
NA 63
NA 33
NA 67
NA 46
NA 54
NA 59
NA 61
33 NA
NA 47
NA 69
NA 52
NA 55
NA 41
NA 73
NA 52
NA 50
NA 51
NA 60
NA 56
NA 56
NA 29
66 NA
66 NA
NA 73
NA 55
64 NA
40 NA
46 NA
58 NA
NA 43
NA 61
51 NA
50 NA
52 NA
54 NA
66 NA
61 NA
80 NA
51 NA
56 NA
NA 56
NA 56
53 NA
NA 47
NA 25
47 NA
NA 46
50 NA
39 NA
NA 51
58 NA
35 NA
58 NA
60 NA
62 NA
63 NA
53 NA
46 NA
67 NA
59 NA
64 NA
38 NA
50 NA
NA 48
48 NA
47 NA
66 NA
NA 47
63 NA
NA 58
44 NA
NA 51
43 NA
NA 55
38 NA
45 NA
50 NA
54 NA
NA 57
NA 60
55 NA
NA 56
NA 49
37 NA
NA 59
46 NA
51 NA
NA 58
64 NA
NA 53
NA 48
NA 51
47 NA
NA 59
62 NA
NA 62
NA 51
NA 64
NA 52
67 NA
NA 50
NA 54
NA 58
56 NA
NA 63
NA 31
65 NA
NA 71
50 NA
57 NA
47 NA
47 NA
57 NA
NA 43
NA 41
NA 63
NA 63
NA 56
NA 51
50 NA
22 NA
NA 41
59 NA
56 NA
NA 66
53 NA
42 NA
52 NA
54 NA
44 NA
62 NA
53 NA
50 NA
36 NA
76 NA
66 NA
62 NA
59 NA
47 NA
55 NA
58 NA
60 NA
NA 44
57 NA
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=266459&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=266459&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266459&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_B & 30 & 47 & 54 & 60 & 76 \tabularnewline
IM_S & 31 & 48 & 53 & 59.5 & 74 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266459&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_B[/C][C]30[/C][C]47[/C][C]54[/C][C]60[/C][C]76[/C][/ROW]
[ROW][C]IM_S[/C][C]31[/C][C]48[/C][C]53[/C][C]59.5[/C][C]74[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266459&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266459&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_B3047546076
IM_S31485359.574






Boxplot Notches
Variablelower boundmedianupper bound
IM_B52.23870953058645455.7612904694136
IM_S51.48054826781715354.5194517321829

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
IM_B & 52.2387095305864 & 54 & 55.7612904694136 \tabularnewline
IM_S & 51.4805482678171 & 53 & 54.5194517321829 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266459&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_B[/C][C]52.2387095305864[/C][C]54[/C][C]55.7612904694136[/C][/ROW]
[ROW][C]IM_S[/C][C]51.4805482678171[/C][C]53[/C][C]54.5194517321829[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266459&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266459&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_B52.23870953058645455.7612904694136
IM_S51.48054826781715354.5194517321829


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = blue ;
Parameters (R input):
par1 = blue ;
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')