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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 computationSat, 11 Mar 2017 16:36:42 +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/2017/Mar/11/t14892504308pyjytghelmeiza.htm/, Retrieved Tue, 14 May 2024 22:19:13 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 22:19:13 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
 93,65   
 92,68   
 92,70   
 92,73   
 92,80   
 92,86   
 93,02   
 93,02   
 93,04   
 93,09   
 93,11   
 93,11   
 93,20   
 93,21   
 93,22   
 93,23   
 93,29   
 93,42   
 93,43   
 93,45   
 93,45   
 93,49   
 93,50   
 93,56   
 93,68   
 93,70   
 94,01   
 94,07   
 94,33   
 94,43   
 94,47   
 95,35   
 95,37   
 95,46   
 95,83   
 96,00   
 96,85   
 97,84   
 98,38   
 98,90   
 99,51   
 99,93   
 99,95   
 101,40   
 101,56   
 101,65   
 101,70   
 101,91   
 101,91   
 102,29   
 102,33   
 102,44   
 102,57   
 102,59   
 102,84   
 102,88   
 103,04   
 103,16   
 103,20   
 103,23   
 103,27   
 103,31   
 103,59   
 104,35   
 104,55   
 104,60   
 104,67   
 104,93   
 105,08   
 105,15   
 109,25   
 109,82

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'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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.69007606674280.0276729344375381
0.0292.71035671573580.0471757315346078
0.0392.73986167664250.0718736407322099
0.0492.77701885383730.0947603887248374
0.0592.81952930710660.111106883917251
0.0692.86447556617370.118653489767389
0.0792.90893462839440.11787093372189
0.0892.9506377950210.111026403489196
0.0992.98833484467610.101780793807153
0.193.02179038681840.0932670371551736
0.1193.05151868779050.0874129781388211
0.1293.07842530545030.0847972489972015
0.1393.10349585159640.0850650961287152
0.1493.12760018287190.0874184365965371
0.1593.15141176004020.0914049308319409
0.1693.17540412480050.0962081994155637
0.1793.19988130431270.101817954017082
0.1893.22501327665730.107621666312667
0.1993.25086625590540.11338386589896
0.293.27743073476760.118689295724248
0.2193.30465479920480.123413031278653
0.2293.33248768474540.12781894002719
0.2393.36093249005220.132049789898593
0.2493.3901011415680.137209590561328
0.2593.42026170219330.144291699877657
0.2693.45186881067650.154687105686352
0.2793.48557171465980.169328372929607
0.2893.52219936621090.189303843842665
0.2993.56272662205570.215030469517268
0.393.60822852362670.246910914469886
0.3193.65983054881770.285030180019329
0.3293.71866197091110.329186492993905
0.3393.78581774199510.378918944260387
0.3493.86233233818770.434094180825025
0.3593.94916719504050.494113542962598
0.3694.0472118180690.558752021741452
0.3794.15729721851660.627648798469404
0.3894.28021876609050.700854958315819
0.3994.41676375051390.77845403423206
0.494.56773703769460.860534106813978
0.4194.73397662647060.947550348072715
0.4294.91635030984031.03980649624107
0.4395.11572569470171.13716190937286
0.4495.33290896097341.2394110020513
0.4595.56855285619091.34524381316089
0.4695.82304077977571.45282571665456
0.4796.09636007801311.55935887863139
0.4896.38798223268821.66134688381226
0.4996.69676907248071.75482934490079
0.597.02092175697491.83578125239045
0.5197.35798339092141.90033388812311
0.5297.70489804784321.9455958667551
0.5398.05812068583481.96911184291435
0.5498.4137659090871.96958563660238
0.5598.76778011188231.94695845195876
0.5699.11612151405281.90198509856183
0.5799.45493513654631.8362042566971
0.5899.78071334387311.75220853305003
0.59100.0904356164191.65280282268155
0.6100.3816827286571.54156213362539
0.61100.6527204901681.42225289141212
0.62100.9025475558421.29899678032795
0.63101.1309018724091.17598181019837
0.64101.3382222178831.05683016543276
0.65101.5255653326090.945113935166882
0.66101.6944846506870.843336832166216
0.67101.8468821652330.753359726996985
0.68101.9848488698480.675882640872886
0.69102.1105103885710.610685597792329
0.7102.2258926944640.556833612849759
0.71102.3328191078390.51279198566123
0.72102.4328455641850.476712446847302
0.73102.5272378703050.446757994350068
0.74102.6169929466310.421265927749484
0.75102.7029052702720.399069441393081
0.76102.7856780879590.37925926337034
0.77102.8660740768050.362082973902326
0.78102.9450901087770.348382946314195
0.79103.0241256078220.340347824698266
0.8103.1050968423580.340638221428131
0.81103.1904373801410.352210295954236
0.82103.2829278955510.376917410795238
0.83103.3853265384270.413946014997347
0.84103.499828488170.45927743611983
0.85103.6274623666860.50609363973116
0.86103.7676087924330.545724599037728
0.87103.9178703595140.569788553573436
0.88104.0745119559180.572466710922377
0.89104.2336465913790.552909068532381
0.9104.3933417538190.516891536394795
0.91104.5569372375250.478804522733231
0.92104.7379574525820.466038686768668
0.93104.9663896841440.528528413450701
0.94105.2935218049720.733306952776605
0.95105.7873790746861.11862618953234
0.96106.5064067451871.62746017353445
0.97107.4455740605282.03505285010264
0.98108.4774891061141.98076001020611
0.99109.351760823711.30129552026393

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.6900760667428 & 0.0276729344375381 \tabularnewline
0.02 & 92.7103567157358 & 0.0471757315346078 \tabularnewline
0.03 & 92.7398616766425 & 0.0718736407322099 \tabularnewline
0.04 & 92.7770188538373 & 0.0947603887248374 \tabularnewline
0.05 & 92.8195293071066 & 0.111106883917251 \tabularnewline
0.06 & 92.8644755661737 & 0.118653489767389 \tabularnewline
0.07 & 92.9089346283944 & 0.11787093372189 \tabularnewline
0.08 & 92.950637795021 & 0.111026403489196 \tabularnewline
0.09 & 92.9883348446761 & 0.101780793807153 \tabularnewline
0.1 & 93.0217903868184 & 0.0932670371551736 \tabularnewline
0.11 & 93.0515186877905 & 0.0874129781388211 \tabularnewline
0.12 & 93.0784253054503 & 0.0847972489972015 \tabularnewline
0.13 & 93.1034958515964 & 0.0850650961287152 \tabularnewline
0.14 & 93.1276001828719 & 0.0874184365965371 \tabularnewline
0.15 & 93.1514117600402 & 0.0914049308319409 \tabularnewline
0.16 & 93.1754041248005 & 0.0962081994155637 \tabularnewline
0.17 & 93.1998813043127 & 0.101817954017082 \tabularnewline
0.18 & 93.2250132766573 & 0.107621666312667 \tabularnewline
0.19 & 93.2508662559054 & 0.11338386589896 \tabularnewline
0.2 & 93.2774307347676 & 0.118689295724248 \tabularnewline
0.21 & 93.3046547992048 & 0.123413031278653 \tabularnewline
0.22 & 93.3324876847454 & 0.12781894002719 \tabularnewline
0.23 & 93.3609324900522 & 0.132049789898593 \tabularnewline
0.24 & 93.390101141568 & 0.137209590561328 \tabularnewline
0.25 & 93.4202617021933 & 0.144291699877657 \tabularnewline
0.26 & 93.4518688106765 & 0.154687105686352 \tabularnewline
0.27 & 93.4855717146598 & 0.169328372929607 \tabularnewline
0.28 & 93.5221993662109 & 0.189303843842665 \tabularnewline
0.29 & 93.5627266220557 & 0.215030469517268 \tabularnewline
0.3 & 93.6082285236267 & 0.246910914469886 \tabularnewline
0.31 & 93.6598305488177 & 0.285030180019329 \tabularnewline
0.32 & 93.7186619709111 & 0.329186492993905 \tabularnewline
0.33 & 93.7858177419951 & 0.378918944260387 \tabularnewline
0.34 & 93.8623323381877 & 0.434094180825025 \tabularnewline
0.35 & 93.9491671950405 & 0.494113542962598 \tabularnewline
0.36 & 94.047211818069 & 0.558752021741452 \tabularnewline
0.37 & 94.1572972185166 & 0.627648798469404 \tabularnewline
0.38 & 94.2802187660905 & 0.700854958315819 \tabularnewline
0.39 & 94.4167637505139 & 0.77845403423206 \tabularnewline
0.4 & 94.5677370376946 & 0.860534106813978 \tabularnewline
0.41 & 94.7339766264706 & 0.947550348072715 \tabularnewline
0.42 & 94.9163503098403 & 1.03980649624107 \tabularnewline
0.43 & 95.1157256947017 & 1.13716190937286 \tabularnewline
0.44 & 95.3329089609734 & 1.2394110020513 \tabularnewline
0.45 & 95.5685528561909 & 1.34524381316089 \tabularnewline
0.46 & 95.8230407797757 & 1.45282571665456 \tabularnewline
0.47 & 96.0963600780131 & 1.55935887863139 \tabularnewline
0.48 & 96.3879822326882 & 1.66134688381226 \tabularnewline
0.49 & 96.6967690724807 & 1.75482934490079 \tabularnewline
0.5 & 97.0209217569749 & 1.83578125239045 \tabularnewline
0.51 & 97.3579833909214 & 1.90033388812311 \tabularnewline
0.52 & 97.7048980478432 & 1.9455958667551 \tabularnewline
0.53 & 98.0581206858348 & 1.96911184291435 \tabularnewline
0.54 & 98.413765909087 & 1.96958563660238 \tabularnewline
0.55 & 98.7677801118823 & 1.94695845195876 \tabularnewline
0.56 & 99.1161215140528 & 1.90198509856183 \tabularnewline
0.57 & 99.4549351365463 & 1.8362042566971 \tabularnewline
0.58 & 99.7807133438731 & 1.75220853305003 \tabularnewline
0.59 & 100.090435616419 & 1.65280282268155 \tabularnewline
0.6 & 100.381682728657 & 1.54156213362539 \tabularnewline
0.61 & 100.652720490168 & 1.42225289141212 \tabularnewline
0.62 & 100.902547555842 & 1.29899678032795 \tabularnewline
0.63 & 101.130901872409 & 1.17598181019837 \tabularnewline
0.64 & 101.338222217883 & 1.05683016543276 \tabularnewline
0.65 & 101.525565332609 & 0.945113935166882 \tabularnewline
0.66 & 101.694484650687 & 0.843336832166216 \tabularnewline
0.67 & 101.846882165233 & 0.753359726996985 \tabularnewline
0.68 & 101.984848869848 & 0.675882640872886 \tabularnewline
0.69 & 102.110510388571 & 0.610685597792329 \tabularnewline
0.7 & 102.225892694464 & 0.556833612849759 \tabularnewline
0.71 & 102.332819107839 & 0.51279198566123 \tabularnewline
0.72 & 102.432845564185 & 0.476712446847302 \tabularnewline
0.73 & 102.527237870305 & 0.446757994350068 \tabularnewline
0.74 & 102.616992946631 & 0.421265927749484 \tabularnewline
0.75 & 102.702905270272 & 0.399069441393081 \tabularnewline
0.76 & 102.785678087959 & 0.37925926337034 \tabularnewline
0.77 & 102.866074076805 & 0.362082973902326 \tabularnewline
0.78 & 102.945090108777 & 0.348382946314195 \tabularnewline
0.79 & 103.024125607822 & 0.340347824698266 \tabularnewline
0.8 & 103.105096842358 & 0.340638221428131 \tabularnewline
0.81 & 103.190437380141 & 0.352210295954236 \tabularnewline
0.82 & 103.282927895551 & 0.376917410795238 \tabularnewline
0.83 & 103.385326538427 & 0.413946014997347 \tabularnewline
0.84 & 103.49982848817 & 0.45927743611983 \tabularnewline
0.85 & 103.627462366686 & 0.50609363973116 \tabularnewline
0.86 & 103.767608792433 & 0.545724599037728 \tabularnewline
0.87 & 103.917870359514 & 0.569788553573436 \tabularnewline
0.88 & 104.074511955918 & 0.572466710922377 \tabularnewline
0.89 & 104.233646591379 & 0.552909068532381 \tabularnewline
0.9 & 104.393341753819 & 0.516891536394795 \tabularnewline
0.91 & 104.556937237525 & 0.478804522733231 \tabularnewline
0.92 & 104.737957452582 & 0.466038686768668 \tabularnewline
0.93 & 104.966389684144 & 0.528528413450701 \tabularnewline
0.94 & 105.293521804972 & 0.733306952776605 \tabularnewline
0.95 & 105.787379074686 & 1.11862618953234 \tabularnewline
0.96 & 106.506406745187 & 1.62746017353445 \tabularnewline
0.97 & 107.445574060528 & 2.03505285010264 \tabularnewline
0.98 & 108.477489106114 & 1.98076001020611 \tabularnewline
0.99 & 109.35176082371 & 1.30129552026393 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]92.6900760667428[/C][C]0.0276729344375381[/C][/ROW]
[ROW][C]0.02[/C][C]92.7103567157358[/C][C]0.0471757315346078[/C][/ROW]
[ROW][C]0.03[/C][C]92.7398616766425[/C][C]0.0718736407322099[/C][/ROW]
[ROW][C]0.04[/C][C]92.7770188538373[/C][C]0.0947603887248374[/C][/ROW]
[ROW][C]0.05[/C][C]92.8195293071066[/C][C]0.111106883917251[/C][/ROW]
[ROW][C]0.06[/C][C]92.8644755661737[/C][C]0.118653489767389[/C][/ROW]
[ROW][C]0.07[/C][C]92.9089346283944[/C][C]0.11787093372189[/C][/ROW]
[ROW][C]0.08[/C][C]92.950637795021[/C][C]0.111026403489196[/C][/ROW]
[ROW][C]0.09[/C][C]92.9883348446761[/C][C]0.101780793807153[/C][/ROW]
[ROW][C]0.1[/C][C]93.0217903868184[/C][C]0.0932670371551736[/C][/ROW]
[ROW][C]0.11[/C][C]93.0515186877905[/C][C]0.0874129781388211[/C][/ROW]
[ROW][C]0.12[/C][C]93.0784253054503[/C][C]0.0847972489972015[/C][/ROW]
[ROW][C]0.13[/C][C]93.1034958515964[/C][C]0.0850650961287152[/C][/ROW]
[ROW][C]0.14[/C][C]93.1276001828719[/C][C]0.0874184365965371[/C][/ROW]
[ROW][C]0.15[/C][C]93.1514117600402[/C][C]0.0914049308319409[/C][/ROW]
[ROW][C]0.16[/C][C]93.1754041248005[/C][C]0.0962081994155637[/C][/ROW]
[ROW][C]0.17[/C][C]93.1998813043127[/C][C]0.101817954017082[/C][/ROW]
[ROW][C]0.18[/C][C]93.2250132766573[/C][C]0.107621666312667[/C][/ROW]
[ROW][C]0.19[/C][C]93.2508662559054[/C][C]0.11338386589896[/C][/ROW]
[ROW][C]0.2[/C][C]93.2774307347676[/C][C]0.118689295724248[/C][/ROW]
[ROW][C]0.21[/C][C]93.3046547992048[/C][C]0.123413031278653[/C][/ROW]
[ROW][C]0.22[/C][C]93.3324876847454[/C][C]0.12781894002719[/C][/ROW]
[ROW][C]0.23[/C][C]93.3609324900522[/C][C]0.132049789898593[/C][/ROW]
[ROW][C]0.24[/C][C]93.390101141568[/C][C]0.137209590561328[/C][/ROW]
[ROW][C]0.25[/C][C]93.4202617021933[/C][C]0.144291699877657[/C][/ROW]
[ROW][C]0.26[/C][C]93.4518688106765[/C][C]0.154687105686352[/C][/ROW]
[ROW][C]0.27[/C][C]93.4855717146598[/C][C]0.169328372929607[/C][/ROW]
[ROW][C]0.28[/C][C]93.5221993662109[/C][C]0.189303843842665[/C][/ROW]
[ROW][C]0.29[/C][C]93.5627266220557[/C][C]0.215030469517268[/C][/ROW]
[ROW][C]0.3[/C][C]93.6082285236267[/C][C]0.246910914469886[/C][/ROW]
[ROW][C]0.31[/C][C]93.6598305488177[/C][C]0.285030180019329[/C][/ROW]
[ROW][C]0.32[/C][C]93.7186619709111[/C][C]0.329186492993905[/C][/ROW]
[ROW][C]0.33[/C][C]93.7858177419951[/C][C]0.378918944260387[/C][/ROW]
[ROW][C]0.34[/C][C]93.8623323381877[/C][C]0.434094180825025[/C][/ROW]
[ROW][C]0.35[/C][C]93.9491671950405[/C][C]0.494113542962598[/C][/ROW]
[ROW][C]0.36[/C][C]94.047211818069[/C][C]0.558752021741452[/C][/ROW]
[ROW][C]0.37[/C][C]94.1572972185166[/C][C]0.627648798469404[/C][/ROW]
[ROW][C]0.38[/C][C]94.2802187660905[/C][C]0.700854958315819[/C][/ROW]
[ROW][C]0.39[/C][C]94.4167637505139[/C][C]0.77845403423206[/C][/ROW]
[ROW][C]0.4[/C][C]94.5677370376946[/C][C]0.860534106813978[/C][/ROW]
[ROW][C]0.41[/C][C]94.7339766264706[/C][C]0.947550348072715[/C][/ROW]
[ROW][C]0.42[/C][C]94.9163503098403[/C][C]1.03980649624107[/C][/ROW]
[ROW][C]0.43[/C][C]95.1157256947017[/C][C]1.13716190937286[/C][/ROW]
[ROW][C]0.44[/C][C]95.3329089609734[/C][C]1.2394110020513[/C][/ROW]
[ROW][C]0.45[/C][C]95.5685528561909[/C][C]1.34524381316089[/C][/ROW]
[ROW][C]0.46[/C][C]95.8230407797757[/C][C]1.45282571665456[/C][/ROW]
[ROW][C]0.47[/C][C]96.0963600780131[/C][C]1.55935887863139[/C][/ROW]
[ROW][C]0.48[/C][C]96.3879822326882[/C][C]1.66134688381226[/C][/ROW]
[ROW][C]0.49[/C][C]96.6967690724807[/C][C]1.75482934490079[/C][/ROW]
[ROW][C]0.5[/C][C]97.0209217569749[/C][C]1.83578125239045[/C][/ROW]
[ROW][C]0.51[/C][C]97.3579833909214[/C][C]1.90033388812311[/C][/ROW]
[ROW][C]0.52[/C][C]97.7048980478432[/C][C]1.9455958667551[/C][/ROW]
[ROW][C]0.53[/C][C]98.0581206858348[/C][C]1.96911184291435[/C][/ROW]
[ROW][C]0.54[/C][C]98.413765909087[/C][C]1.96958563660238[/C][/ROW]
[ROW][C]0.55[/C][C]98.7677801118823[/C][C]1.94695845195876[/C][/ROW]
[ROW][C]0.56[/C][C]99.1161215140528[/C][C]1.90198509856183[/C][/ROW]
[ROW][C]0.57[/C][C]99.4549351365463[/C][C]1.8362042566971[/C][/ROW]
[ROW][C]0.58[/C][C]99.7807133438731[/C][C]1.75220853305003[/C][/ROW]
[ROW][C]0.59[/C][C]100.090435616419[/C][C]1.65280282268155[/C][/ROW]
[ROW][C]0.6[/C][C]100.381682728657[/C][C]1.54156213362539[/C][/ROW]
[ROW][C]0.61[/C][C]100.652720490168[/C][C]1.42225289141212[/C][/ROW]
[ROW][C]0.62[/C][C]100.902547555842[/C][C]1.29899678032795[/C][/ROW]
[ROW][C]0.63[/C][C]101.130901872409[/C][C]1.17598181019837[/C][/ROW]
[ROW][C]0.64[/C][C]101.338222217883[/C][C]1.05683016543276[/C][/ROW]
[ROW][C]0.65[/C][C]101.525565332609[/C][C]0.945113935166882[/C][/ROW]
[ROW][C]0.66[/C][C]101.694484650687[/C][C]0.843336832166216[/C][/ROW]
[ROW][C]0.67[/C][C]101.846882165233[/C][C]0.753359726996985[/C][/ROW]
[ROW][C]0.68[/C][C]101.984848869848[/C][C]0.675882640872886[/C][/ROW]
[ROW][C]0.69[/C][C]102.110510388571[/C][C]0.610685597792329[/C][/ROW]
[ROW][C]0.7[/C][C]102.225892694464[/C][C]0.556833612849759[/C][/ROW]
[ROW][C]0.71[/C][C]102.332819107839[/C][C]0.51279198566123[/C][/ROW]
[ROW][C]0.72[/C][C]102.432845564185[/C][C]0.476712446847302[/C][/ROW]
[ROW][C]0.73[/C][C]102.527237870305[/C][C]0.446757994350068[/C][/ROW]
[ROW][C]0.74[/C][C]102.616992946631[/C][C]0.421265927749484[/C][/ROW]
[ROW][C]0.75[/C][C]102.702905270272[/C][C]0.399069441393081[/C][/ROW]
[ROW][C]0.76[/C][C]102.785678087959[/C][C]0.37925926337034[/C][/ROW]
[ROW][C]0.77[/C][C]102.866074076805[/C][C]0.362082973902326[/C][/ROW]
[ROW][C]0.78[/C][C]102.945090108777[/C][C]0.348382946314195[/C][/ROW]
[ROW][C]0.79[/C][C]103.024125607822[/C][C]0.340347824698266[/C][/ROW]
[ROW][C]0.8[/C][C]103.105096842358[/C][C]0.340638221428131[/C][/ROW]
[ROW][C]0.81[/C][C]103.190437380141[/C][C]0.352210295954236[/C][/ROW]
[ROW][C]0.82[/C][C]103.282927895551[/C][C]0.376917410795238[/C][/ROW]
[ROW][C]0.83[/C][C]103.385326538427[/C][C]0.413946014997347[/C][/ROW]
[ROW][C]0.84[/C][C]103.49982848817[/C][C]0.45927743611983[/C][/ROW]
[ROW][C]0.85[/C][C]103.627462366686[/C][C]0.50609363973116[/C][/ROW]
[ROW][C]0.86[/C][C]103.767608792433[/C][C]0.545724599037728[/C][/ROW]
[ROW][C]0.87[/C][C]103.917870359514[/C][C]0.569788553573436[/C][/ROW]
[ROW][C]0.88[/C][C]104.074511955918[/C][C]0.572466710922377[/C][/ROW]
[ROW][C]0.89[/C][C]104.233646591379[/C][C]0.552909068532381[/C][/ROW]
[ROW][C]0.9[/C][C]104.393341753819[/C][C]0.516891536394795[/C][/ROW]
[ROW][C]0.91[/C][C]104.556937237525[/C][C]0.478804522733231[/C][/ROW]
[ROW][C]0.92[/C][C]104.737957452582[/C][C]0.466038686768668[/C][/ROW]
[ROW][C]0.93[/C][C]104.966389684144[/C][C]0.528528413450701[/C][/ROW]
[ROW][C]0.94[/C][C]105.293521804972[/C][C]0.733306952776605[/C][/ROW]
[ROW][C]0.95[/C][C]105.787379074686[/C][C]1.11862618953234[/C][/ROW]
[ROW][C]0.96[/C][C]106.506406745187[/C][C]1.62746017353445[/C][/ROW]
[ROW][C]0.97[/C][C]107.445574060528[/C][C]2.03505285010264[/C][/ROW]
[ROW][C]0.98[/C][C]108.477489106114[/C][C]1.98076001020611[/C][/ROW]
[ROW][C]0.99[/C][C]109.35176082371[/C][C]1.30129552026393[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0192.69007606674280.0276729344375381
0.0292.71035671573580.0471757315346078
0.0392.73986167664250.0718736407322099
0.0492.77701885383730.0947603887248374
0.0592.81952930710660.111106883917251
0.0692.86447556617370.118653489767389
0.0792.90893462839440.11787093372189
0.0892.9506377950210.111026403489196
0.0992.98833484467610.101780793807153
0.193.02179038681840.0932670371551736
0.1193.05151868779050.0874129781388211
0.1293.07842530545030.0847972489972015
0.1393.10349585159640.0850650961287152
0.1493.12760018287190.0874184365965371
0.1593.15141176004020.0914049308319409
0.1693.17540412480050.0962081994155637
0.1793.19988130431270.101817954017082
0.1893.22501327665730.107621666312667
0.1993.25086625590540.11338386589896
0.293.27743073476760.118689295724248
0.2193.30465479920480.123413031278653
0.2293.33248768474540.12781894002719
0.2393.36093249005220.132049789898593
0.2493.3901011415680.137209590561328
0.2593.42026170219330.144291699877657
0.2693.45186881067650.154687105686352
0.2793.48557171465980.169328372929607
0.2893.52219936621090.189303843842665
0.2993.56272662205570.215030469517268
0.393.60822852362670.246910914469886
0.3193.65983054881770.285030180019329
0.3293.71866197091110.329186492993905
0.3393.78581774199510.378918944260387
0.3493.86233233818770.434094180825025
0.3593.94916719504050.494113542962598
0.3694.0472118180690.558752021741452
0.3794.15729721851660.627648798469404
0.3894.28021876609050.700854958315819
0.3994.41676375051390.77845403423206
0.494.56773703769460.860534106813978
0.4194.73397662647060.947550348072715
0.4294.91635030984031.03980649624107
0.4395.11572569470171.13716190937286
0.4495.33290896097341.2394110020513
0.4595.56855285619091.34524381316089
0.4695.82304077977571.45282571665456
0.4796.09636007801311.55935887863139
0.4896.38798223268821.66134688381226
0.4996.69676907248071.75482934490079
0.597.02092175697491.83578125239045
0.5197.35798339092141.90033388812311
0.5297.70489804784321.9455958667551
0.5398.05812068583481.96911184291435
0.5498.4137659090871.96958563660238
0.5598.76778011188231.94695845195876
0.5699.11612151405281.90198509856183
0.5799.45493513654631.8362042566971
0.5899.78071334387311.75220853305003
0.59100.0904356164191.65280282268155
0.6100.3816827286571.54156213362539
0.61100.6527204901681.42225289141212
0.62100.9025475558421.29899678032795
0.63101.1309018724091.17598181019837
0.64101.3382222178831.05683016543276
0.65101.5255653326090.945113935166882
0.66101.6944846506870.843336832166216
0.67101.8468821652330.753359726996985
0.68101.9848488698480.675882640872886
0.69102.1105103885710.610685597792329
0.7102.2258926944640.556833612849759
0.71102.3328191078390.51279198566123
0.72102.4328455641850.476712446847302
0.73102.5272378703050.446757994350068
0.74102.6169929466310.421265927749484
0.75102.7029052702720.399069441393081
0.76102.7856780879590.37925926337034
0.77102.8660740768050.362082973902326
0.78102.9450901087770.348382946314195
0.79103.0241256078220.340347824698266
0.8103.1050968423580.340638221428131
0.81103.1904373801410.352210295954236
0.82103.2829278955510.376917410795238
0.83103.3853265384270.413946014997347
0.84103.499828488170.45927743611983
0.85103.6274623666860.50609363973116
0.86103.7676087924330.545724599037728
0.87103.9178703595140.569788553573436
0.88104.0745119559180.572466710922377
0.89104.2336465913790.552909068532381
0.9104.3933417538190.516891536394795
0.91104.5569372375250.478804522733231
0.92104.7379574525820.466038686768668
0.93104.9663896841440.528528413450701
0.94105.2935218049720.733306952776605
0.95105.7873790746861.11862618953234
0.96106.5064067451871.62746017353445
0.97107.4455740605282.03505285010264
0.98108.4774891061141.98076001020611
0.99109.351760823711.30129552026393


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')