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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationTue, 11 Dec 2012 11:25:13 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/11/t1355243144e5e94vj70n30zaw.htm/, Retrieved Thu, 18 Apr 2024 06:26:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198571, Retrieved Thu, 18 Apr 2024 06:26:05 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact71
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataseries X:
72.487	28.328	18.984	30.665	45.857	103.070	81.020	29.884	13.667	30.441
73.417	28.905	19.441	30.973	46.726	104.495	82.590	30.485	13.854	30.982
74.592	29.910	20.060	31.794	48.600	106.972	84.766	31.326	14.377	31.609
76.518	31.450	20.370	33.356	50.385	110.188	86.563	32.616	14.767	32.773
73.889	29.970	19.729	30.999	48.299	107.670	84.926	31.262	14.285	31.948
66.856	26.429	17.649	26.523	42.563	98.374	77.669	27.051	12.622	28.848
66.627	26.044	17.740	26.378	42.257	98.870	77.192	26.916	12.520	28.720
67.404	26.335	17.990	27.189	43.087	100.434	78.122	27.380	12.804	29.225
68.677	26.899	18.232	28.534	43.751	101.671	79.593	28.117	13.034	29.724
70.149	27.531	19.070	30.055	45.079	104.718	81.284	29.106	13.568	30.552
70.281	27.876	19.102	30.786	45.173	105.190	81.507	29.467	13.652	30.882
66.445	26.481	18.338	28.746	42.860	102.176	78.882	27.455	13.096	29.978
64.685	26.136	18.670	27.699	41.532	103.209	79.635	26.372	13.075	30.305
66.073	27.117	18.854	27.972	42.923	104.773	80.655	27.483	13.303	30.612
68.474	28.357	19.359	29.343	45.206	106.968	82.731	28.760	13.860	31.593
71.369	29.824	19.738	31.486	47.924	110.051	84.929	30.848	14.431	32.529
71.415	29.466	18.885	31.220	48.444	106.846	82.648	30.979	13.706	31.214
63.910	25.405	17.097	25.893	41.407	98.565	75.456	25.895	12.225	28.427
64.412	25.227	17.243	25.903	41.161	99.513	75.712	25.711	12.390	28.413
65.656	25.897	17.482	26.988	42.542	100.650	77.396	26.744	12.777	29.215
67.149	26.457	17.821	28.403	43.467	102.364	78.790	27.208	13.166	29.941
68.564	27.106	18.023	30.010	44.620	103.163	78.666	28.180	13.324	30.111
69.663	27.640	18.154	30.981	45.671	104.727	79.577	29.134	13.569	30.499
67.840	27.241	18.430	30.464	45.453	103.932	79.365	28.836	13.383	30.512
66.421	27.151	18.582	30.011	44.262	104.743	79.685	27.925	13.530	30.907
69.240	28.528	19.256	30.642	46.029	106.594	81.247	29.116	13.827	31.546
71.483	29.293	19.983	32.032	48.224	110.949	84.348	30.836	14.661	33.035
76.098	31.546	20.209	35.198	52.560	112.899	85.307	34.125	14.887	33.843
75.744	31.018	19.608	35.155	52.826	110.832	83.558	34.396	14.137	32.816
67.339	27.078	17.708	29.589	45.313	102.323	76.614	29.244	12.690	29.836
66.338	26.260	17.421	29.281	44.895	102.265	76.645	28.948	12.529	29.594
68.045	27.078	17.937	30.483	46.454	105.055	78.790	30.136	13.090	30.513
68.932	27.613	18.662	31.682	46.993	107.481	81.327	30.596	13.529	31.488
70.743	28.472	18.998	33.143	48.439	109.589	82.931	31.791	13.788	32.069
71.257	28.645	19.245	33.735	48.695	111.377	84.209	31.988	13.885	32.524
73.335	29.009	18.629	34.412	50.367	107.841	81.061	33.253	13.493	31.198
68.311	27.552	18.577	31.794	46.786	106.798	80.785	29.999	13.375	31.092
68.633	28.233	18.743	31.710	47.736	108.435	82.824	30.591	13.656	31.501
70.290	29.404	19.274	33.112	49.331	111.904	85.899	31.989	14.097	32.774
73.577	31.011	19.691	35.596	52.545	113.824	86.899	34.170	14.421	33.310
72.334	30.042	19.119	35.004	52.043	112.086	85.448	34.109	13.801	32.827
64.702	25.967	17.125	29.823	45.333	104.216	79.197	29.484	12.384	30.045
62.056	24.583	16.962	28.238	43.318	103.930	78.207	27.810	12.365	29.862
62.313	25.056	17.547	29.027	44.052	106.619	81.034	28.458	12.929	30.856
62.885	25.283	17.399	30.065	44.529	106.028	80.377	28.801	12.870	30.925
61.857	24.930	17.349	29.902	44.214	105.908	80.080	28.323	13.006	30.980
60.611	24.835	17.118	29.610	43.440	105.625	79.831	27.916	13.060	30.912
57.875	23.884	16.992	28.112	41.902	104.741	79.089	26.264	12.722	30.441
54.698	22.695	17.007	26.303	39.012	103.497	78.109	24.119	12.522	30.343
55.210	23.333	17.095	26.148	40.133	104.079	78.725	24.538	12.527	30.510
56.195	24.168	17.691	27.446	41.585	107.473	81.450	24.936	13.053	31.511
59.681	26.099	18.171	29.528	44.467	108.831	81.806	27.294	13.126	32.082
59.302	25.828	17.939	29.226	44.630	107.542	80.755	27.544	12.593	31.170
51.515	21.982	16.291	23.943	37.659	99.649	73.841	23.015	11.224	28.516
49.933	20.921	15.966	22.274	36.027	99.384	73.724	21.846	11.233	28.486
52.764	22.036	16.788	23.834	38.156	103.459	77.499	22.822	12.041	29.922
53.213	22.223	16.748	24.583	38.694	103.508	77.079	23.201	12.217	29.942
54.048	22.625	17.786	25.515	38.550	108.383	81.269	23.444	12.803	31.605
55.333	23.238	17.784	26.563	40.033	108.862	81.661	24.534	13.072	31.997
55.462	23.489	17.561	26.834	40.408	107.007	79.663	25.104	12.649	31.404




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198571&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198571&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198571&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
ANT49.93361.956567.24470.516576.518
VBR20.92125.141526.988528.531.546
WBR15.96617.451518.162519.08620.37
WVL22.27427.317529.716531.35335.596
OVL36.02742.399544.62547.364552.826
HAI98.374103.186105.1225107.7555113.824
LIE73.72478.695580.51682.61986.899
LIM21.84626.8328.60930.593534.396
LUX11.22412.669513.11113.74714.887
NAM28.41329.9630.894531.59933.843

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
ANT & 49.933 & 61.9565 & 67.244 & 70.5165 & 76.518 \tabularnewline
VBR & 20.921 & 25.1415 & 26.9885 & 28.5 & 31.546 \tabularnewline
WBR & 15.966 & 17.4515 & 18.1625 & 19.086 & 20.37 \tabularnewline
WVL & 22.274 & 27.3175 & 29.7165 & 31.353 & 35.596 \tabularnewline
OVL & 36.027 & 42.3995 & 44.625 & 47.3645 & 52.826 \tabularnewline
HAI & 98.374 & 103.186 & 105.1225 & 107.7555 & 113.824 \tabularnewline
LIE & 73.724 & 78.6955 & 80.516 & 82.619 & 86.899 \tabularnewline
LIM & 21.846 & 26.83 & 28.609 & 30.5935 & 34.396 \tabularnewline
LUX & 11.224 & 12.6695 & 13.111 & 13.747 & 14.887 \tabularnewline
NAM & 28.413 & 29.96 & 30.8945 & 31.599 & 33.843 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198571&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]ANT[/C][C]49.933[/C][C]61.9565[/C][C]67.244[/C][C]70.5165[/C][C]76.518[/C][/ROW]
[ROW][C]VBR[/C][C]20.921[/C][C]25.1415[/C][C]26.9885[/C][C]28.5[/C][C]31.546[/C][/ROW]
[ROW][C]WBR[/C][C]15.966[/C][C]17.4515[/C][C]18.1625[/C][C]19.086[/C][C]20.37[/C][/ROW]
[ROW][C]WVL[/C][C]22.274[/C][C]27.3175[/C][C]29.7165[/C][C]31.353[/C][C]35.596[/C][/ROW]
[ROW][C]OVL[/C][C]36.027[/C][C]42.3995[/C][C]44.625[/C][C]47.3645[/C][C]52.826[/C][/ROW]
[ROW][C]HAI[/C][C]98.374[/C][C]103.186[/C][C]105.1225[/C][C]107.7555[/C][C]113.824[/C][/ROW]
[ROW][C]LIE[/C][C]73.724[/C][C]78.6955[/C][C]80.516[/C][C]82.619[/C][C]86.899[/C][/ROW]
[ROW][C]LIM[/C][C]21.846[/C][C]26.83[/C][C]28.609[/C][C]30.5935[/C][C]34.396[/C][/ROW]
[ROW][C]LUX[/C][C]11.224[/C][C]12.6695[/C][C]13.111[/C][C]13.747[/C][C]14.887[/C][/ROW]
[ROW][C]NAM[/C][C]28.413[/C][C]29.96[/C][C]30.8945[/C][C]31.599[/C][C]33.843[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198571&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198571&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
ANT49.93361.956567.24470.516576.518
VBR20.92125.141526.988528.531.546
WBR15.96617.451518.162519.08620.37
WVL22.27427.317529.716531.35335.596
OVL36.02742.399544.62547.364552.826
HAI98.374103.186105.1225107.7555113.824
LIE73.72478.695580.51682.61986.899
LIM21.84626.8328.60930.593534.396
LUX11.22412.669513.11113.74714.887
NAM28.41329.9630.894531.59933.843







Boxplot Notches
Variablelower boundmedianupper bound
ANT65.497955827973867.24468.9900441720262
VBR26.303442832739526.988527.6735571672605
WBR17.829099392619518.162518.4959006073805
WVL28.89335032053629.716530.539649679464
OVL43.612253584800244.62545.6377464151998
HAI104.190426536907105.1225106.054573463093
LIE79.715695758300880.51681.3163042416992
LIM27.841332097964928.60929.3766679020351
LUX12.89121465007513.11113.330785349925
NAM30.560181495566530.894531.2288185044335

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
ANT & 65.4979558279738 & 67.244 & 68.9900441720262 \tabularnewline
VBR & 26.3034428327395 & 26.9885 & 27.6735571672605 \tabularnewline
WBR & 17.8290993926195 & 18.1625 & 18.4959006073805 \tabularnewline
WVL & 28.893350320536 & 29.7165 & 30.539649679464 \tabularnewline
OVL & 43.6122535848002 & 44.625 & 45.6377464151998 \tabularnewline
HAI & 104.190426536907 & 105.1225 & 106.054573463093 \tabularnewline
LIE & 79.7156957583008 & 80.516 & 81.3163042416992 \tabularnewline
LIM & 27.8413320979649 & 28.609 & 29.3766679020351 \tabularnewline
LUX & 12.891214650075 & 13.111 & 13.330785349925 \tabularnewline
NAM & 30.5601814955665 & 30.8945 & 31.2288185044335 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198571&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]ANT[/C][C]65.4979558279738[/C][C]67.244[/C][C]68.9900441720262[/C][/ROW]
[ROW][C]VBR[/C][C]26.3034428327395[/C][C]26.9885[/C][C]27.6735571672605[/C][/ROW]
[ROW][C]WBR[/C][C]17.8290993926195[/C][C]18.1625[/C][C]18.4959006073805[/C][/ROW]
[ROW][C]WVL[/C][C]28.893350320536[/C][C]29.7165[/C][C]30.539649679464[/C][/ROW]
[ROW][C]OVL[/C][C]43.6122535848002[/C][C]44.625[/C][C]45.6377464151998[/C][/ROW]
[ROW][C]HAI[/C][C]104.190426536907[/C][C]105.1225[/C][C]106.054573463093[/C][/ROW]
[ROW][C]LIE[/C][C]79.7156957583008[/C][C]80.516[/C][C]81.3163042416992[/C][/ROW]
[ROW][C]LIM[/C][C]27.8413320979649[/C][C]28.609[/C][C]29.3766679020351[/C][/ROW]
[ROW][C]LUX[/C][C]12.891214650075[/C][C]13.111[/C][C]13.330785349925[/C][/ROW]
[ROW][C]NAM[/C][C]30.5601814955665[/C][C]30.8945[/C][C]31.2288185044335[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198571&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198571&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
ANT65.497955827973867.24468.9900441720262
VBR26.303442832739526.988527.6735571672605
WBR17.829099392619518.162518.4959006073805
WVL28.89335032053629.716530.539649679464
OVL43.612253584800244.62545.6377464151998
HAI104.190426536907105.1225106.054573463093
LIE79.715695758300880.51681.3163042416992
LIM27.841332097964928.60929.3766679020351
LUX12.89121465007513.11113.330785349925
NAM30.560181495566530.894531.2288185044335



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ;
R code (references can be found in the software module):
par1 <- 'grey'
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')