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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 02 Mar 2008 14:23:16 -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/Mar/02/t1204493028gvw1622eacyym3z.htm/, Retrieved Tue, 07 May 2024 01:10:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9769, Retrieved Tue, 07 May 2024 01:10:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact175

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrell Davis Led...] [2008-03-02 21:23:16] [f907c40368cff310b72a5f11c2582b2e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.31
101.31
101.39
101.26
101.26
101.25
101.25
101.22
101.29
101.26
101.32
101.34
101.34
101.34
101.34
101.34
101.34
101.34
101.34
101.31
102.19
102.16
102.31
102.32
102.32
102.32
102.36
102.36
102.37
102.37
102.37
102.37
103.45
103.93
104
103.92
103.92
103.9
103.91
103.84
103.8
103.81
103.81
103.81
104.51
105.14
105.15
105.23
105.23
105.22
105.13
105
105.01
105.01
105.01
105.01
105.57
106.05
106.09
106.2
106.19
106.2
106.09
106.23
106.23
106.22
106.22
106.61
106.95
107.74
107.8
107.8

Tables (Output of Computation)





Summary of compuational 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 compuational 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=9769&T=0

[TABLE]
[ROW][C]Summary of compuational 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=9769&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9769&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 compuational 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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01101.2277551864010.0229116695768612
0.02101.2378817448130.0152017695748270
0.03101.2466031457090.0107154189390632
0.04101.2533141445410.0104181859310451
0.05101.2590016231420.0127789105426133
0.06101.2646778731170.016159844840156
0.07101.2708664000980.0195369246427619
0.08101.2776480640260.0221634685648609
0.09101.2848351090870.023568909028567
0.1101.2921337634650.0238386486163471
0.11101.2992715737860.0232495006914735
0.12101.3060831486000.0223253341981175
0.13101.3125559822910.021879222886045
0.14101.3188505059440.0225569867369554
0.15101.3253134924530.0254395919505774
0.16101.3324964681710.0317732180820583
0.17101.3411763134570.0429009379650284
0.18101.3523624034930.0600867438751873
0.19101.3672694978780.08404307780125
0.2101.3872399211010.115160299618230
0.21101.4136107069820.152886408379755
0.22101.4475375431040.195723752827329
0.23101.4898028622930.241361723041151
0.24101.5406456978560.286351646133246
0.25101.5996525138580.327246752476954
0.26101.6657398816220.360430428774512
0.27101.7372430921480.383329297812924
0.28101.8121035674590.394381278999544
0.29101.8881276170600.39371170943513
0.3101.963274723920.382629501816770
0.31102.0359283230950.36430893547792
0.32102.1051064515070.342483856194534
0.33102.1705816711610.321670739527849
0.34102.232895740570.306840119781011
0.35102.2932708740250.302120816515174
0.36102.3534332427680.31022498619298
0.37102.4153742129190.331829291586739
0.38102.4810805194050.365322479604853
0.39102.5522666515140.407655781678513
0.4102.6301417150900.454267091678534
0.41102.7152391519320.500770703582104
0.42102.8073308779650.542533575920212
0.43102.9054376888790.575274176632984
0.44103.0079357618800.596111467231902
0.45103.1127461292190.602978306447177
0.46103.2175821484990.595486691331515
0.47103.3202214643460.574895843402565
0.48103.4187655005760.543742224281945
0.49103.5118518796240.505783451716954
0.5103.5987928217510.46529761570879
0.51103.6796239294720.426672755811856
0.52103.7550606177930.394414570351082
0.53103.8263716348210.371914005945248
0.54103.8951889806650.361234077596404
0.55103.9632801785350.362544846144947
0.56104.0323120603590.374271084419034
0.57104.1036351834130.39330184470113
0.58104.1781149909700.415678992108979
0.59104.2560301341090.437456141632321
0.6104.3370502849260.454824106665083
0.61104.4202958470660.464946893949908
0.62104.5044712219040.465961808277644
0.63104.5880532201120.456997004969507
0.64104.6695085631140.438883472636266
0.65104.7475107071810.41307228787433
0.66104.8211271935170.382394526182323
0.67104.8899540293000.350101923154328
0.68104.9541818308500.31960806344218
0.69105.0145876163770.294502124748629
0.7105.0724543787290.277682128071621
0.71105.1294269062610.27129272327938
0.72105.1873169345080.275808451372764
0.73105.2478746919050.290177893362007
0.74105.3125484328300.311882206707595
0.75105.3822588899530.337043183921115
0.76105.4572203631650.36162264421299
0.77105.5368415275900.381206053877017
0.78105.6197337332900.392055875066171
0.79105.7038407440590.391435011983391
0.8105.7866828029940.378024206401239
0.81105.8656846585470.35229210008667
0.82105.9385394263930.316266397503621
0.83106.0035554238080.273486718792235
0.84106.0599451427140.228194656596942
0.85106.1080413903010.185128690047780
0.86106.1494549681090.148852349653102
0.87106.1872055052010.124678836339032
0.88106.2258460822630.118857262559993
0.89106.2715518157060.137145745060856
0.9106.3320504238070.181286861093498
0.91106.4161501948090.249630509567301
0.92106.5325060106240.337487286119416
0.93106.6872582422200.434425144369115
0.94106.8804879989930.52074775398684
0.95107.1023102511470.567505722242901
0.96107.3308466818780.543490976901627
0.97107.5353727609160.433640870322140
0.98107.6866373116320.261639952239185
0.99107.7711984181730.0935955092395732

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 101.227755186401 & 0.0229116695768612 \tabularnewline
0.02 & 101.237881744813 & 0.0152017695748270 \tabularnewline
0.03 & 101.246603145709 & 0.0107154189390632 \tabularnewline
0.04 & 101.253314144541 & 0.0104181859310451 \tabularnewline
0.05 & 101.259001623142 & 0.0127789105426133 \tabularnewline
0.06 & 101.264677873117 & 0.016159844840156 \tabularnewline
0.07 & 101.270866400098 & 0.0195369246427619 \tabularnewline
0.08 & 101.277648064026 & 0.0221634685648609 \tabularnewline
0.09 & 101.284835109087 & 0.023568909028567 \tabularnewline
0.1 & 101.292133763465 & 0.0238386486163471 \tabularnewline
0.11 & 101.299271573786 & 0.0232495006914735 \tabularnewline
0.12 & 101.306083148600 & 0.0223253341981175 \tabularnewline
0.13 & 101.312555982291 & 0.021879222886045 \tabularnewline
0.14 & 101.318850505944 & 0.0225569867369554 \tabularnewline
0.15 & 101.325313492453 & 0.0254395919505774 \tabularnewline
0.16 & 101.332496468171 & 0.0317732180820583 \tabularnewline
0.17 & 101.341176313457 & 0.0429009379650284 \tabularnewline
0.18 & 101.352362403493 & 0.0600867438751873 \tabularnewline
0.19 & 101.367269497878 & 0.08404307780125 \tabularnewline
0.2 & 101.387239921101 & 0.115160299618230 \tabularnewline
0.21 & 101.413610706982 & 0.152886408379755 \tabularnewline
0.22 & 101.447537543104 & 0.195723752827329 \tabularnewline
0.23 & 101.489802862293 & 0.241361723041151 \tabularnewline
0.24 & 101.540645697856 & 0.286351646133246 \tabularnewline
0.25 & 101.599652513858 & 0.327246752476954 \tabularnewline
0.26 & 101.665739881622 & 0.360430428774512 \tabularnewline
0.27 & 101.737243092148 & 0.383329297812924 \tabularnewline
0.28 & 101.812103567459 & 0.394381278999544 \tabularnewline
0.29 & 101.888127617060 & 0.39371170943513 \tabularnewline
0.3 & 101.96327472392 & 0.382629501816770 \tabularnewline
0.31 & 102.035928323095 & 0.36430893547792 \tabularnewline
0.32 & 102.105106451507 & 0.342483856194534 \tabularnewline
0.33 & 102.170581671161 & 0.321670739527849 \tabularnewline
0.34 & 102.23289574057 & 0.306840119781011 \tabularnewline
0.35 & 102.293270874025 & 0.302120816515174 \tabularnewline
0.36 & 102.353433242768 & 0.31022498619298 \tabularnewline
0.37 & 102.415374212919 & 0.331829291586739 \tabularnewline
0.38 & 102.481080519405 & 0.365322479604853 \tabularnewline
0.39 & 102.552266651514 & 0.407655781678513 \tabularnewline
0.4 & 102.630141715090 & 0.454267091678534 \tabularnewline
0.41 & 102.715239151932 & 0.500770703582104 \tabularnewline
0.42 & 102.807330877965 & 0.542533575920212 \tabularnewline
0.43 & 102.905437688879 & 0.575274176632984 \tabularnewline
0.44 & 103.007935761880 & 0.596111467231902 \tabularnewline
0.45 & 103.112746129219 & 0.602978306447177 \tabularnewline
0.46 & 103.217582148499 & 0.595486691331515 \tabularnewline
0.47 & 103.320221464346 & 0.574895843402565 \tabularnewline
0.48 & 103.418765500576 & 0.543742224281945 \tabularnewline
0.49 & 103.511851879624 & 0.505783451716954 \tabularnewline
0.5 & 103.598792821751 & 0.46529761570879 \tabularnewline
0.51 & 103.679623929472 & 0.426672755811856 \tabularnewline
0.52 & 103.755060617793 & 0.394414570351082 \tabularnewline
0.53 & 103.826371634821 & 0.371914005945248 \tabularnewline
0.54 & 103.895188980665 & 0.361234077596404 \tabularnewline
0.55 & 103.963280178535 & 0.362544846144947 \tabularnewline
0.56 & 104.032312060359 & 0.374271084419034 \tabularnewline
0.57 & 104.103635183413 & 0.39330184470113 \tabularnewline
0.58 & 104.178114990970 & 0.415678992108979 \tabularnewline
0.59 & 104.256030134109 & 0.437456141632321 \tabularnewline
0.6 & 104.337050284926 & 0.454824106665083 \tabularnewline
0.61 & 104.420295847066 & 0.464946893949908 \tabularnewline
0.62 & 104.504471221904 & 0.465961808277644 \tabularnewline
0.63 & 104.588053220112 & 0.456997004969507 \tabularnewline
0.64 & 104.669508563114 & 0.438883472636266 \tabularnewline
0.65 & 104.747510707181 & 0.41307228787433 \tabularnewline
0.66 & 104.821127193517 & 0.382394526182323 \tabularnewline
0.67 & 104.889954029300 & 0.350101923154328 \tabularnewline
0.68 & 104.954181830850 & 0.31960806344218 \tabularnewline
0.69 & 105.014587616377 & 0.294502124748629 \tabularnewline
0.7 & 105.072454378729 & 0.277682128071621 \tabularnewline
0.71 & 105.129426906261 & 0.27129272327938 \tabularnewline
0.72 & 105.187316934508 & 0.275808451372764 \tabularnewline
0.73 & 105.247874691905 & 0.290177893362007 \tabularnewline
0.74 & 105.312548432830 & 0.311882206707595 \tabularnewline
0.75 & 105.382258889953 & 0.337043183921115 \tabularnewline
0.76 & 105.457220363165 & 0.36162264421299 \tabularnewline
0.77 & 105.536841527590 & 0.381206053877017 \tabularnewline
0.78 & 105.619733733290 & 0.392055875066171 \tabularnewline
0.79 & 105.703840744059 & 0.391435011983391 \tabularnewline
0.8 & 105.786682802994 & 0.378024206401239 \tabularnewline
0.81 & 105.865684658547 & 0.35229210008667 \tabularnewline
0.82 & 105.938539426393 & 0.316266397503621 \tabularnewline
0.83 & 106.003555423808 & 0.273486718792235 \tabularnewline
0.84 & 106.059945142714 & 0.228194656596942 \tabularnewline
0.85 & 106.108041390301 & 0.185128690047780 \tabularnewline
0.86 & 106.149454968109 & 0.148852349653102 \tabularnewline
0.87 & 106.187205505201 & 0.124678836339032 \tabularnewline
0.88 & 106.225846082263 & 0.118857262559993 \tabularnewline
0.89 & 106.271551815706 & 0.137145745060856 \tabularnewline
0.9 & 106.332050423807 & 0.181286861093498 \tabularnewline
0.91 & 106.416150194809 & 0.249630509567301 \tabularnewline
0.92 & 106.532506010624 & 0.337487286119416 \tabularnewline
0.93 & 106.687258242220 & 0.434425144369115 \tabularnewline
0.94 & 106.880487998993 & 0.52074775398684 \tabularnewline
0.95 & 107.102310251147 & 0.567505722242901 \tabularnewline
0.96 & 107.330846681878 & 0.543490976901627 \tabularnewline
0.97 & 107.535372760916 & 0.433640870322140 \tabularnewline
0.98 & 107.686637311632 & 0.261639952239185 \tabularnewline
0.99 & 107.771198418173 & 0.0935955092395732 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9769&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]101.227755186401[/C][C]0.0229116695768612[/C][/ROW]
[ROW][C]0.02[/C][C]101.237881744813[/C][C]0.0152017695748270[/C][/ROW]
[ROW][C]0.03[/C][C]101.246603145709[/C][C]0.0107154189390632[/C][/ROW]
[ROW][C]0.04[/C][C]101.253314144541[/C][C]0.0104181859310451[/C][/ROW]
[ROW][C]0.05[/C][C]101.259001623142[/C][C]0.0127789105426133[/C][/ROW]
[ROW][C]0.06[/C][C]101.264677873117[/C][C]0.016159844840156[/C][/ROW]
[ROW][C]0.07[/C][C]101.270866400098[/C][C]0.0195369246427619[/C][/ROW]
[ROW][C]0.08[/C][C]101.277648064026[/C][C]0.0221634685648609[/C][/ROW]
[ROW][C]0.09[/C][C]101.284835109087[/C][C]0.023568909028567[/C][/ROW]
[ROW][C]0.1[/C][C]101.292133763465[/C][C]0.0238386486163471[/C][/ROW]
[ROW][C]0.11[/C][C]101.299271573786[/C][C]0.0232495006914735[/C][/ROW]
[ROW][C]0.12[/C][C]101.306083148600[/C][C]0.0223253341981175[/C][/ROW]
[ROW][C]0.13[/C][C]101.312555982291[/C][C]0.021879222886045[/C][/ROW]
[ROW][C]0.14[/C][C]101.318850505944[/C][C]0.0225569867369554[/C][/ROW]
[ROW][C]0.15[/C][C]101.325313492453[/C][C]0.0254395919505774[/C][/ROW]
[ROW][C]0.16[/C][C]101.332496468171[/C][C]0.0317732180820583[/C][/ROW]
[ROW][C]0.17[/C][C]101.341176313457[/C][C]0.0429009379650284[/C][/ROW]
[ROW][C]0.18[/C][C]101.352362403493[/C][C]0.0600867438751873[/C][/ROW]
[ROW][C]0.19[/C][C]101.367269497878[/C][C]0.08404307780125[/C][/ROW]
[ROW][C]0.2[/C][C]101.387239921101[/C][C]0.115160299618230[/C][/ROW]
[ROW][C]0.21[/C][C]101.413610706982[/C][C]0.152886408379755[/C][/ROW]
[ROW][C]0.22[/C][C]101.447537543104[/C][C]0.195723752827329[/C][/ROW]
[ROW][C]0.23[/C][C]101.489802862293[/C][C]0.241361723041151[/C][/ROW]
[ROW][C]0.24[/C][C]101.540645697856[/C][C]0.286351646133246[/C][/ROW]
[ROW][C]0.25[/C][C]101.599652513858[/C][C]0.327246752476954[/C][/ROW]
[ROW][C]0.26[/C][C]101.665739881622[/C][C]0.360430428774512[/C][/ROW]
[ROW][C]0.27[/C][C]101.737243092148[/C][C]0.383329297812924[/C][/ROW]
[ROW][C]0.28[/C][C]101.812103567459[/C][C]0.394381278999544[/C][/ROW]
[ROW][C]0.29[/C][C]101.888127617060[/C][C]0.39371170943513[/C][/ROW]
[ROW][C]0.3[/C][C]101.96327472392[/C][C]0.382629501816770[/C][/ROW]
[ROW][C]0.31[/C][C]102.035928323095[/C][C]0.36430893547792[/C][/ROW]
[ROW][C]0.32[/C][C]102.105106451507[/C][C]0.342483856194534[/C][/ROW]
[ROW][C]0.33[/C][C]102.170581671161[/C][C]0.321670739527849[/C][/ROW]
[ROW][C]0.34[/C][C]102.23289574057[/C][C]0.306840119781011[/C][/ROW]
[ROW][C]0.35[/C][C]102.293270874025[/C][C]0.302120816515174[/C][/ROW]
[ROW][C]0.36[/C][C]102.353433242768[/C][C]0.31022498619298[/C][/ROW]
[ROW][C]0.37[/C][C]102.415374212919[/C][C]0.331829291586739[/C][/ROW]
[ROW][C]0.38[/C][C]102.481080519405[/C][C]0.365322479604853[/C][/ROW]
[ROW][C]0.39[/C][C]102.552266651514[/C][C]0.407655781678513[/C][/ROW]
[ROW][C]0.4[/C][C]102.630141715090[/C][C]0.454267091678534[/C][/ROW]
[ROW][C]0.41[/C][C]102.715239151932[/C][C]0.500770703582104[/C][/ROW]
[ROW][C]0.42[/C][C]102.807330877965[/C][C]0.542533575920212[/C][/ROW]
[ROW][C]0.43[/C][C]102.905437688879[/C][C]0.575274176632984[/C][/ROW]
[ROW][C]0.44[/C][C]103.007935761880[/C][C]0.596111467231902[/C][/ROW]
[ROW][C]0.45[/C][C]103.112746129219[/C][C]0.602978306447177[/C][/ROW]
[ROW][C]0.46[/C][C]103.217582148499[/C][C]0.595486691331515[/C][/ROW]
[ROW][C]0.47[/C][C]103.320221464346[/C][C]0.574895843402565[/C][/ROW]
[ROW][C]0.48[/C][C]103.418765500576[/C][C]0.543742224281945[/C][/ROW]
[ROW][C]0.49[/C][C]103.511851879624[/C][C]0.505783451716954[/C][/ROW]
[ROW][C]0.5[/C][C]103.598792821751[/C][C]0.46529761570879[/C][/ROW]
[ROW][C]0.51[/C][C]103.679623929472[/C][C]0.426672755811856[/C][/ROW]
[ROW][C]0.52[/C][C]103.755060617793[/C][C]0.394414570351082[/C][/ROW]
[ROW][C]0.53[/C][C]103.826371634821[/C][C]0.371914005945248[/C][/ROW]
[ROW][C]0.54[/C][C]103.895188980665[/C][C]0.361234077596404[/C][/ROW]
[ROW][C]0.55[/C][C]103.963280178535[/C][C]0.362544846144947[/C][/ROW]
[ROW][C]0.56[/C][C]104.032312060359[/C][C]0.374271084419034[/C][/ROW]
[ROW][C]0.57[/C][C]104.103635183413[/C][C]0.39330184470113[/C][/ROW]
[ROW][C]0.58[/C][C]104.178114990970[/C][C]0.415678992108979[/C][/ROW]
[ROW][C]0.59[/C][C]104.256030134109[/C][C]0.437456141632321[/C][/ROW]
[ROW][C]0.6[/C][C]104.337050284926[/C][C]0.454824106665083[/C][/ROW]
[ROW][C]0.61[/C][C]104.420295847066[/C][C]0.464946893949908[/C][/ROW]
[ROW][C]0.62[/C][C]104.504471221904[/C][C]0.465961808277644[/C][/ROW]
[ROW][C]0.63[/C][C]104.588053220112[/C][C]0.456997004969507[/C][/ROW]
[ROW][C]0.64[/C][C]104.669508563114[/C][C]0.438883472636266[/C][/ROW]
[ROW][C]0.65[/C][C]104.747510707181[/C][C]0.41307228787433[/C][/ROW]
[ROW][C]0.66[/C][C]104.821127193517[/C][C]0.382394526182323[/C][/ROW]
[ROW][C]0.67[/C][C]104.889954029300[/C][C]0.350101923154328[/C][/ROW]
[ROW][C]0.68[/C][C]104.954181830850[/C][C]0.31960806344218[/C][/ROW]
[ROW][C]0.69[/C][C]105.014587616377[/C][C]0.294502124748629[/C][/ROW]
[ROW][C]0.7[/C][C]105.072454378729[/C][C]0.277682128071621[/C][/ROW]
[ROW][C]0.71[/C][C]105.129426906261[/C][C]0.27129272327938[/C][/ROW]
[ROW][C]0.72[/C][C]105.187316934508[/C][C]0.275808451372764[/C][/ROW]
[ROW][C]0.73[/C][C]105.247874691905[/C][C]0.290177893362007[/C][/ROW]
[ROW][C]0.74[/C][C]105.312548432830[/C][C]0.311882206707595[/C][/ROW]
[ROW][C]0.75[/C][C]105.382258889953[/C][C]0.337043183921115[/C][/ROW]
[ROW][C]0.76[/C][C]105.457220363165[/C][C]0.36162264421299[/C][/ROW]
[ROW][C]0.77[/C][C]105.536841527590[/C][C]0.381206053877017[/C][/ROW]
[ROW][C]0.78[/C][C]105.619733733290[/C][C]0.392055875066171[/C][/ROW]
[ROW][C]0.79[/C][C]105.703840744059[/C][C]0.391435011983391[/C][/ROW]
[ROW][C]0.8[/C][C]105.786682802994[/C][C]0.378024206401239[/C][/ROW]
[ROW][C]0.81[/C][C]105.865684658547[/C][C]0.35229210008667[/C][/ROW]
[ROW][C]0.82[/C][C]105.938539426393[/C][C]0.316266397503621[/C][/ROW]
[ROW][C]0.83[/C][C]106.003555423808[/C][C]0.273486718792235[/C][/ROW]
[ROW][C]0.84[/C][C]106.059945142714[/C][C]0.228194656596942[/C][/ROW]
[ROW][C]0.85[/C][C]106.108041390301[/C][C]0.185128690047780[/C][/ROW]
[ROW][C]0.86[/C][C]106.149454968109[/C][C]0.148852349653102[/C][/ROW]
[ROW][C]0.87[/C][C]106.187205505201[/C][C]0.124678836339032[/C][/ROW]
[ROW][C]0.88[/C][C]106.225846082263[/C][C]0.118857262559993[/C][/ROW]
[ROW][C]0.89[/C][C]106.271551815706[/C][C]0.137145745060856[/C][/ROW]
[ROW][C]0.9[/C][C]106.332050423807[/C][C]0.181286861093498[/C][/ROW]
[ROW][C]0.91[/C][C]106.416150194809[/C][C]0.249630509567301[/C][/ROW]
[ROW][C]0.92[/C][C]106.532506010624[/C][C]0.337487286119416[/C][/ROW]
[ROW][C]0.93[/C][C]106.687258242220[/C][C]0.434425144369115[/C][/ROW]
[ROW][C]0.94[/C][C]106.880487998993[/C][C]0.52074775398684[/C][/ROW]
[ROW][C]0.95[/C][C]107.102310251147[/C][C]0.567505722242901[/C][/ROW]
[ROW][C]0.96[/C][C]107.330846681878[/C][C]0.543490976901627[/C][/ROW]
[ROW][C]0.97[/C][C]107.535372760916[/C][C]0.433640870322140[/C][/ROW]
[ROW][C]0.98[/C][C]107.686637311632[/C][C]0.261639952239185[/C][/ROW]
[ROW][C]0.99[/C][C]107.771198418173[/C][C]0.0935955092395732[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9769&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9769&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:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01101.2277551864010.0229116695768612
0.02101.2378817448130.0152017695748270
0.03101.2466031457090.0107154189390632
0.04101.2533141445410.0104181859310451
0.05101.2590016231420.0127789105426133
0.06101.2646778731170.016159844840156
0.07101.2708664000980.0195369246427619
0.08101.2776480640260.0221634685648609
0.09101.2848351090870.023568909028567
0.1101.2921337634650.0238386486163471
0.11101.2992715737860.0232495006914735
0.12101.3060831486000.0223253341981175
0.13101.3125559822910.021879222886045
0.14101.3188505059440.0225569867369554
0.15101.3253134924530.0254395919505774
0.16101.3324964681710.0317732180820583
0.17101.3411763134570.0429009379650284
0.18101.3523624034930.0600867438751873
0.19101.3672694978780.08404307780125
0.2101.3872399211010.115160299618230
0.21101.4136107069820.152886408379755
0.22101.4475375431040.195723752827329
0.23101.4898028622930.241361723041151
0.24101.5406456978560.286351646133246
0.25101.5996525138580.327246752476954
0.26101.6657398816220.360430428774512
0.27101.7372430921480.383329297812924
0.28101.8121035674590.394381278999544
0.29101.8881276170600.39371170943513
0.3101.963274723920.382629501816770
0.31102.0359283230950.36430893547792
0.32102.1051064515070.342483856194534
0.33102.1705816711610.321670739527849
0.34102.232895740570.306840119781011
0.35102.2932708740250.302120816515174
0.36102.3534332427680.31022498619298
0.37102.4153742129190.331829291586739
0.38102.4810805194050.365322479604853
0.39102.5522666515140.407655781678513
0.4102.6301417150900.454267091678534
0.41102.7152391519320.500770703582104
0.42102.8073308779650.542533575920212
0.43102.9054376888790.575274176632984
0.44103.0079357618800.596111467231902
0.45103.1127461292190.602978306447177
0.46103.2175821484990.595486691331515
0.47103.3202214643460.574895843402565
0.48103.4187655005760.543742224281945
0.49103.5118518796240.505783451716954
0.5103.5987928217510.46529761570879
0.51103.6796239294720.426672755811856
0.52103.7550606177930.394414570351082
0.53103.8263716348210.371914005945248
0.54103.8951889806650.361234077596404
0.55103.9632801785350.362544846144947
0.56104.0323120603590.374271084419034
0.57104.1036351834130.39330184470113
0.58104.1781149909700.415678992108979
0.59104.2560301341090.437456141632321
0.6104.3370502849260.454824106665083
0.61104.4202958470660.464946893949908
0.62104.5044712219040.465961808277644
0.63104.5880532201120.456997004969507
0.64104.6695085631140.438883472636266
0.65104.7475107071810.41307228787433
0.66104.8211271935170.382394526182323
0.67104.8899540293000.350101923154328
0.68104.9541818308500.31960806344218
0.69105.0145876163770.294502124748629
0.7105.0724543787290.277682128071621
0.71105.1294269062610.27129272327938
0.72105.1873169345080.275808451372764
0.73105.2478746919050.290177893362007
0.74105.3125484328300.311882206707595
0.75105.3822588899530.337043183921115
0.76105.4572203631650.36162264421299
0.77105.5368415275900.381206053877017
0.78105.6197337332900.392055875066171
0.79105.7038407440590.391435011983391
0.8105.7866828029940.378024206401239
0.81105.8656846585470.35229210008667
0.82105.9385394263930.316266397503621
0.83106.0035554238080.273486718792235
0.84106.0599451427140.228194656596942
0.85106.1080413903010.185128690047780
0.86106.1494549681090.148852349653102
0.87106.1872055052010.124678836339032
0.88106.2258460822630.118857262559993
0.89106.2715518157060.137145745060856
0.9106.3320504238070.181286861093498
0.91106.4161501948090.249630509567301
0.92106.5325060106240.337487286119416
0.93106.6872582422200.434425144369115
0.94106.8804879989930.52074775398684
0.95107.1023102511470.567505722242901
0.96107.3308466818780.543490976901627
0.97107.5353727609160.433640870322140
0.98107.6866373116320.261639952239185
0.99107.7711984181730.0935955092395732


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')