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Author's title

Author

*Unverified author*

R Software Module

rwasp_notchedbox1.wasp

Title produced by software

Notched Boxplots

Date of computation

Wed, 26 May 2010 16:28:28 +0000

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/2010/May/26/t1274892086k1ki7ufw8hyg5ga.htm/, Retrieved Fri, 03 May 2024 07:10:14 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=76518, Retrieved Fri, 03 May 2024 07:10:14 +0000

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Original text written by user:

On 8 observation days, mussel fisher were counted in intervals of 30 minutes. In this graph, the number of fisher collecting mussels in dependency on the sea level (tides!) is shown. Short boxes show a graet peakedness.

IsPrivate?

No (this computation is public)

User-defined keywords

Goiana River Estuary, Anomalocardia brasiliensis, box plot, number of fisher, period of high collecting activity

Estimated Impact

109

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Notched Boxplots] [Mussel-fisher in ...] [2010-05-26 16:28:28] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Histogram

Boxplots

34 09 43 27 07 30 46 36 16 21 25 NA 03 00
20 47 06 03 40 46 35 43 28 23 18 NA NA 00
36 24 52 35 19 34 07 08 31 00 11 NA NA NA
50 38 23 15 18 37 39 45 08 NA 06 NA NA NA
51 57 21 46 32 NA 23 NA 41 NA 20 NA	NA NA
15 19 43 00 23 NA 00 NA 48 NA NA NA NA NA
42 46 15 33 07 NA 33 NA NA NA NA NA NA NA
15 40 16 26 37 NA 00 NA NA NA NA NA NA NA
61 43 30 36 32 NA 24 NA NA NA NA NA NA NA
NA 31 34 NA 04 NA NA NA NA NA NA NA NA NA
NA NA 44 NA 40 NA NA NA NA NA NA NA NA NA
39 09 43 NA 09 32 NA 33 18 25 NA NA 03 00
17 54 05 08 40 44 34 NA 28 24 21 NA NA 00
37 26 51 16 38 10 11 25 00 11 NA NA NA NA
49 38 25 16 14 41 37 43 07 NA 07 NA NA NA
56 52 24 57 33 NA 20 NA NA 21 NA NA NA NA
14 17 43 00 25 NA 00 NA 49 NA NA NA NA NA
44 43 13 35 08 NA 33 NA NA NA NA NA NA NA
12 44 17 29 32 NA 00 NA NA NA NA NA NA NA
58 40 31 NA 33 NA 31 NA NA NA NA NA NA NA
NA 31 37 NA 04 NA NA NA NA NA NA NA NA NA
NA NA 39 NA NA NA NA NA NA NA NA NA NA NA

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	'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=76518&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=76518&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=76518&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	'George Udny Yule' @ 72.249.76.132

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
0.35	12	17	38	50	61
0.45	9	25	39	45	57
0.55	5	17	30.5	43	52
0.65	0	11.5	26.5	35	57
0.75	4	9	25	33	40
0.85	30	31	35.5	42.5	46
0.95	0	7	24	34	46
1.05	8	29	36	43	45
1.15	0	12	28	36	49
1.25	11	16	21	23.5	25
1.35	6	9	18	20.5	25
1.45	NA	NA	NA	NA	NA
1.55	3	3	3	3	3
1.65	0	0	0	0	0

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
0.35 & 12 & 17 & 38 & 50 & 61 \tabularnewline
0.45 & 9 & 25 & 39 & 45 & 57 \tabularnewline
0.55 & 5 & 17 & 30.5 & 43 & 52 \tabularnewline
0.65 & 0 & 11.5 & 26.5 & 35 & 57 \tabularnewline
0.75 & 4 & 9 & 25 & 33 & 40 \tabularnewline
0.85 & 30 & 31 & 35.5 & 42.5 & 46 \tabularnewline
0.95 & 0 & 7 & 24 & 34 & 46 \tabularnewline
1.05 & 8 & 29 & 36 & 43 & 45 \tabularnewline
1.15 & 0 & 12 & 28 & 36 & 49 \tabularnewline
1.25 & 11 & 16 & 21 & 23.5 & 25 \tabularnewline
1.35 & 6 & 9 & 18 & 20.5 & 25 \tabularnewline
1.45 & NA & NA & NA & NA & NA \tabularnewline
1.55 & 3 & 3 & 3 & 3 & 3 \tabularnewline
1.65 & 0 & 0 & 0 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=76518&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]0.35[/C][C]12[/C][C]17[/C][C]38[/C][C]50[/C][C]61[/C][/ROW]
[ROW][C]0.45[/C][C]9[/C][C]25[/C][C]39[/C][C]45[/C][C]57[/C][/ROW]
[ROW][C]0.55[/C][C]5[/C][C]17[/C][C]30.5[/C][C]43[/C][C]52[/C][/ROW]
[ROW][C]0.65[/C][C]0[/C][C]11.5[/C][C]26.5[/C][C]35[/C][C]57[/C][/ROW]
[ROW][C]0.75[/C][C]4[/C][C]9[/C][C]25[/C][C]33[/C][C]40[/C][/ROW]
[ROW][C]0.85[/C][C]30[/C][C]31[/C][C]35.5[/C][C]42.5[/C][C]46[/C][/ROW]
[ROW][C]0.95[/C][C]0[/C][C]7[/C][C]24[/C][C]34[/C][C]46[/C][/ROW]
[ROW][C]1.05[/C][C]8[/C][C]29[/C][C]36[/C][C]43[/C][C]45[/C][/ROW]
[ROW][C]1.15[/C][C]0[/C][C]12[/C][C]28[/C][C]36[/C][C]49[/C][/ROW]
[ROW][C]1.25[/C][C]11[/C][C]16[/C][C]21[/C][C]23.5[/C][C]25[/C][/ROW]
[ROW][C]1.35[/C][C]6[/C][C]9[/C][C]18[/C][C]20.5[/C][C]25[/C][/ROW]
[ROW][C]1.45[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]1.55[/C][C]3[/C][C]3[/C][C]3[/C][C]3[/C][C]3[/C][/ROW]
[ROW][C]1.65[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=76518&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=76518&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
0.35	12	17	38	50	61
0.45	9	25	39	45	57
0.55	5	17	30.5	43	52
0.65	0	11.5	26.5	35	57
0.75	4	9	25	33	40
0.85	30	31	35.5	42.5	46
0.95	0	7	24	34	46
1.05	8	29	36	43	45
1.15	0	12	28	36	49
1.25	11	16	21	23.5	25
1.35	6	9	18	20.5	25
1.45	NA	NA	NA	NA	NA
1.55	3	3	3	3	3
1.65	0	0	0	0	0

Boxplot Notches
Variable	lower bound	median	upper bound
0.35	25.7104841429778	38	50.2895158570222
0.45	31.9340251911007	39	46.0659748088993
0.55	21.7417145721115	30.5	39.2582854278885
0.65	17.2175	26.5	35.7825
0.75	16.7251776022512	25	33.2748223977488
0.85	29.0759348929202	35.5	41.9240651070798
0.95	13.6534302359500	24	34.3465697640500
1.05	27.6394258570359	36	44.3605741429641
1.15	16.5666898136112	28	39.4333101863888
1.25	16.5211209948407	21	25.4788790051593
1.35	11.1323855254223	18	24.8676144745777
1.45	NA	NA	NA
1.55	3	3	3
1.65	0	0	0

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
0.35 & 25.7104841429778 & 38 & 50.2895158570222 \tabularnewline
0.45 & 31.9340251911007 & 39 & 46.0659748088993 \tabularnewline
0.55 & 21.7417145721115 & 30.5 & 39.2582854278885 \tabularnewline
0.65 & 17.2175 & 26.5 & 35.7825 \tabularnewline
0.75 & 16.7251776022512 & 25 & 33.2748223977488 \tabularnewline
0.85 & 29.0759348929202 & 35.5 & 41.9240651070798 \tabularnewline
0.95 & 13.6534302359500 & 24 & 34.3465697640500 \tabularnewline
1.05 & 27.6394258570359 & 36 & 44.3605741429641 \tabularnewline
1.15 & 16.5666898136112 & 28 & 39.4333101863888 \tabularnewline
1.25 & 16.5211209948407 & 21 & 25.4788790051593 \tabularnewline
1.35 & 11.1323855254223 & 18 & 24.8676144745777 \tabularnewline
1.45 & NA & NA & NA \tabularnewline
1.55 & 3 & 3 & 3 \tabularnewline
1.65 & 0 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=76518&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]0.35[/C][C]25.7104841429778[/C][C]38[/C][C]50.2895158570222[/C][/ROW]
[ROW][C]0.45[/C][C]31.9340251911007[/C][C]39[/C][C]46.0659748088993[/C][/ROW]
[ROW][C]0.55[/C][C]21.7417145721115[/C][C]30.5[/C][C]39.2582854278885[/C][/ROW]
[ROW][C]0.65[/C][C]17.2175[/C][C]26.5[/C][C]35.7825[/C][/ROW]
[ROW][C]0.75[/C][C]16.7251776022512[/C][C]25[/C][C]33.2748223977488[/C][/ROW]
[ROW][C]0.85[/C][C]29.0759348929202[/C][C]35.5[/C][C]41.9240651070798[/C][/ROW]
[ROW][C]0.95[/C][C]13.6534302359500[/C][C]24[/C][C]34.3465697640500[/C][/ROW]
[ROW][C]1.05[/C][C]27.6394258570359[/C][C]36[/C][C]44.3605741429641[/C][/ROW]
[ROW][C]1.15[/C][C]16.5666898136112[/C][C]28[/C][C]39.4333101863888[/C][/ROW]
[ROW][C]1.25[/C][C]16.5211209948407[/C][C]21[/C][C]25.4788790051593[/C][/ROW]
[ROW][C]1.35[/C][C]11.1323855254223[/C][C]18[/C][C]24.8676144745777[/C][/ROW]
[ROW][C]1.45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]1.55[/C][C]3[/C][C]3[/C][C]3[/C][/ROW]
[ROW][C]1.65[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=76518&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=76518&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
0.35	25.7104841429778	38	50.2895158570222
0.45	31.9340251911007	39	46.0659748088993
0.55	21.7417145721115	30.5	39.2582854278885
0.65	17.2175	26.5	35.7825
0.75	16.7251776022512	25	33.2748223977488
0.85	29.0759348929202	35.5	41.9240651070798
0.95	13.6534302359500	24	34.3465697640500
1.05	27.6394258570359	36	44.3605741429641
1.15	16.5666898136112	28	39.4333101863888
1.25	16.5211209948407	21	25.4788790051593
1.35	11.1323855254223	18	24.8676144745777
1.45	NA	NA	NA
1.55	3	3	3
1.65	0	0	0

Figure 1

PNG link

Postscript link

PDF link

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')

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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code