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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 computationWed, 10 Dec 2008 12:35:55 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/10/t12289380206qpiosrg5uqhnpi.htm/, Retrieved Sun, 19 May 2024 07:55:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32082, Retrieved Sun, 19 May 2024 07:55:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

Tree of Dependent Computations

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

Dataseries X:
Download CSV
Histogram
Boxplots 
2648.9	2678.9	1924.8	1404.1	774.7	875.9
2669.6	2582	1787	1334	910.6	885.4
3042.3	2780	2092.2	1516.2	911.6	1003.4
2604.2	2512.4	1829	1209.8	697.7	813.2
2732.1	2658.4	1940.9	1432.2	829.8	876.2
2621.7	2708.7	2065.5	1425.5	824.3	859.8
2483.7	2518.7	1638.1	1317.6	885.6	820.4
2479.3	2018.3	1724	1254	538.9	564.8
2684.6	2579.3	1913.3	1413.9	686	895.1
2834.7	2693.5	2072	1436.4	878.7	960.5
2566.1	2468.8	1921.4	1340.3	812.7	889.8
2251.2	2122.8	1699.1	1121.2	640.4	712.4
2350	2412.8	1839.7	1406.6	773.9	885.8
2299.8	2370.6	1765.5	1478.5	795.9	855.7
2542.8	2642.5	2057.5	1658	836.3	980.8
2530.2	2634.2	2027.2	1434.3	876.1	899.8
2508.1	2457.5	1999.7	1437.8	851.7	915.2
2616.8	2579.1	1959.1	1364.3	692.4	842.7
2534.1	2505.9	1738	1439.3	877.3	827.4
2181.8	1903.2	1688.6	1312.6	536.8	536.5
2578.9	2660.2	2021.5	1564.1	705.9	915.3
2841.9	2844.1	2166.7	1581.1	951	968.1
2529.9	2607.1	1821.5	1411.2	755.7	878.2
2103.2	2356	1788.2	1143.9	695.5	780.9
2326.2	2659.9	1981.9	1332.7	744.8	862.6
2452.6	2531.4	1864.5	1343.8	672.1	869.3
2782.1	2845.7	2130.4	1421.6	666.6	940.2
2727.3	2654.3	1950	1329.8	760.8	853.1
2648.2	2588.2	1925.3	1306.8	756	871.5
2760.7	2789.6	1933.6	1412.8	604.4	901.6
2613	2533.1	1714.8	1358.1	883.9	826.4
2225.4	1846.5	1530.9	1163.9	527.9	478.7
2713.9	2796.3	2220.6	1467.9	756.2	908.5
2923.3	2895.6	2161.5	1433.7	812.9	943.1
2707	2472.2	1863.6	1362.2	655.6	880.6
2473.9	2584.4	1955.1	1299	707.6	743.4
2521	2630.4	1907.4	1291.5	612.6	807.9
2531.8	2663.1	1889.4	1452.7	659.2	875.8
3068.8	3176.2	2246.3	1555.4	833.4	1044.3
2826.9	2856.7	2213	1402.5	727.8	909.2
2674.2	2551.4	1965	1242.9	797.2	890.3
2966.6	3088.7	2285.6	1514.6	753	1050.7
2798.8	2628.3	1983.8	1308.6	762	849.5
2629.6	2226.2	1872.4	1239.3	613.7	574.7
3124.6	3023.6	2371.4	1519.9	759.2	1025.5
3115.7	3077.9	2287	1659.4	816.4	992.1
3083	3084.1	2198.2	1597.6	736.8	961.9
2863.9	2990.3	2330.4	1340.6	680.1	862.9
2728.7	2949.6	2014.4	1427.2	736.5	891.2
2789.4	3014.7	2066.1	1438.1	637.2	974.2
3225.7	3517.7	2355.8	1616.2	801.9	1072.1
3148.2	3121.2	2232.5	1392.8	772.3	945.1
2836.5	3067.4	2091.7	1318.7	897.3	933.1
3153.5	3174.6	2376.5	1420.9	792.1	975.9
2656.9	2676.3	1931.9	1221	826.8	842.5
2834.7	2424	2025.7	1310	666.8	609.8
3172.5	3195.1	2404.9	1466.7	906.6	1064.2
2998.8	3146.6	2316.1	1299.3	871.4	984
3103.1	3506.7	2368.1	1640	891	1034.1
2735.6	3528.5	2282.5	1506.3	739.2	828.5
2818.1	3365.1	2158.6	1530.2	833.6	873.8
2874.4	3153	2174.8	1661.9	715.6	931.8
3438.5	3843.3	2594.1	1880.3	871.6	1070.5
2949.1	3123.2	2281.4	1230.8	751.6	880.7
3306.8	3361.1	2547.9	1406.5	1005.5	1002.5
3530	3481.9	2606.3	1523.5	681.2	1053.2
3003.8	2970.5	2190.8	1323.2	837.3	897.7
3206.4	2537	2262.3	1319.2	674.7	639.1
3514.6	3257.6	2423.8	1500.7	806.3	1073.3
3522.6	3301.3	2520.4	1483	860.2	1127.3
3525.5	3391.6	2482.9	1497	689.8	1100.3
2996.2	2933.6	2215.9	1219.8	691.6	827.6
3231.1	3283.2	2441.9	1472.9	682.6	1004.9
3030	3139.7	2333.8	1423.9	800.1	1035.5
3541.7	3486.4	2670.2	1629.6	1023.7	1131.5
3113.2	3202.2	2431	1353.4	733.5	1002.1
3390.8	3294.4	2559.3	1366.8	875.3	1068.9
3424.2	3550.3	2661.4	1527.1	770.2	1102.7
3079.8	3279.3	2404.6	1487.6	1005.7	961.7
3123.4	2678.6	2378.3	1478.6	982.3	645.4
3317.1	3451.4	2489.2	1536.7	742.9	1015.6
3579.9	3958.7	2941	1673.2	977.6	1139.6
3317.9	3800	2700.9	1568.1	823.9	1055.6
2668.1	3300.5	2335.6	1273.6	791.6	788.8

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32082&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32082&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32082&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' @ 72.249.127.135






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Duitsland2103.22608.62808.453114.453579.9
Frankrijk1846.52580.652820.23185.653958.7
Nederland1530.91925.052111.32345.72941
VK1121.21321.21421.251503.51673.2
VSA527.9693.95771.25844.51023.7
Italie639.1851.3898.751002.31139.6

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Duitsland & 2103.2 & 2608.6 & 2808.45 & 3114.45 & 3579.9 \tabularnewline
Frankrijk & 1846.5 & 2580.65 & 2820.2 & 3185.65 & 3958.7 \tabularnewline
Nederland & 1530.9 & 1925.05 & 2111.3 & 2345.7 & 2941 \tabularnewline
VK & 1121.2 & 1321.2 & 1421.25 & 1503.5 & 1673.2 \tabularnewline
VSA & 527.9 & 693.95 & 771.25 & 844.5 & 1023.7 \tabularnewline
Italie & 639.1 & 851.3 & 898.75 & 1002.3 & 1139.6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32082&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]Duitsland[/C][C]2103.2[/C][C]2608.6[/C][C]2808.45[/C][C]3114.45[/C][C]3579.9[/C][/ROW]
[ROW][C]Frankrijk[/C][C]1846.5[/C][C]2580.65[/C][C]2820.2[/C][C]3185.65[/C][C]3958.7[/C][/ROW]
[ROW][C]Nederland[/C][C]1530.9[/C][C]1925.05[/C][C]2111.3[/C][C]2345.7[/C][C]2941[/C][/ROW]
[ROW][C]VK[/C][C]1121.2[/C][C]1321.2[/C][C]1421.25[/C][C]1503.5[/C][C]1673.2[/C][/ROW]
[ROW][C]VSA[/C][C]527.9[/C][C]693.95[/C][C]771.25[/C][C]844.5[/C][C]1023.7[/C][/ROW]
[ROW][C]Italie[/C][C]639.1[/C][C]851.3[/C][C]898.75[/C][C]1002.3[/C][C]1139.6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32082&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32082&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
Duitsland2103.22608.62808.453114.453579.9
Frankrijk1846.52580.652820.23185.653958.7
Nederland1530.91925.052111.32345.72941
VK1121.21321.21421.251503.51673.2
VSA527.9693.95771.25844.51023.7
Italie639.1851.3898.751002.31139.6






Boxplot Notches
Variablelower boundmedianupper bound
Duitsland2721.245439377062808.452895.65456062294
Frankrijk2715.902759361712820.22924.49724063829
Nederland2038.783249133062111.32183.81675086694
VK1389.822914101881421.251452.67708589812
VSA745.296364333727771.25797.203635666273
Italie872.718787873749898.75924.781212126251

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Duitsland & 2721.24543937706 & 2808.45 & 2895.65456062294 \tabularnewline
Frankrijk & 2715.90275936171 & 2820.2 & 2924.49724063829 \tabularnewline
Nederland & 2038.78324913306 & 2111.3 & 2183.81675086694 \tabularnewline
VK & 1389.82291410188 & 1421.25 & 1452.67708589812 \tabularnewline
VSA & 745.296364333727 & 771.25 & 797.203635666273 \tabularnewline
Italie & 872.718787873749 & 898.75 & 924.781212126251 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32082&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]Duitsland[/C][C]2721.24543937706[/C][C]2808.45[/C][C]2895.65456062294[/C][/ROW]
[ROW][C]Frankrijk[/C][C]2715.90275936171[/C][C]2820.2[/C][C]2924.49724063829[/C][/ROW]
[ROW][C]Nederland[/C][C]2038.78324913306[/C][C]2111.3[/C][C]2183.81675086694[/C][/ROW]
[ROW][C]VK[/C][C]1389.82291410188[/C][C]1421.25[/C][C]1452.67708589812[/C][/ROW]
[ROW][C]VSA[/C][C]745.296364333727[/C][C]771.25[/C][C]797.203635666273[/C][/ROW]
[ROW][C]Italie[/C][C]872.718787873749[/C][C]898.75[/C][C]924.781212126251[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32082&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32082&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
Duitsland2721.245439377062808.452895.65456062294
Frankrijk2715.902759361712820.22924.49724063829
Nederland2038.783249133062111.32183.81675086694
VK1389.822914101881421.251452.67708589812
VSA745.296364333727771.25797.203635666273
Italie872.718787873749898.75924.781212126251


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')