FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 02 Oct 2013 16:30:37 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/02/t1380745881ycnho8x0debqbad.htm/, Retrieved Sat, 27 Apr 2024 18:04:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212774, Retrieved Sat, 27 Apr 2024 18:04:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

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] [] [2013-10-02 20:30:37] [8ac251e42bd40906c127555d6859e07b] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
28.53
28.48
28.68
28.89
29.2
29.21
29.15
29.22
29.34
29.13
28.84
28.76
28.75
28.89
28.82
29.12
29.21
29.3
29.32
29.52
29.64
29.54
29.54
29.34
29.34
29.54
29.94
30.17
30.23
30.34
30.34
30.36
30.3
30.28
29.89
29.58
29.68
29.73
30.07
30.32
30.55
30.62
30.67
30.79
30.8
30.5
30.07
29.41
29.42
29.99
30.14
30.41
30.78
30.88
30.92
30.93
31.62
31.48
31.3
31.11
31.16
31.22
31.66
32.11
32.27
32.36
32.42
32.52
32.41
31.87
31.04
30.58

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212774&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212774&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212774&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0128.5063192070160.0720429174250367
0.0228.55326303891830.0989195293951824
0.0328.60910532901070.108602383766083
0.0428.66375273128730.102943763804976
0.0528.71228290332680.093522152846304
0.0628.75428255184340.0890618918826795
0.0728.79176688317430.0921823102031655
0.0828.82729783185590.101296000407021
0.0928.86288075082150.113358527543431
0.128.89956762715810.125376609713948
0.1128.93748687513810.134737664694713
0.1228.97607330077380.139661321031354
0.1329.01437135580970.139485954245978
0.1429.05133918245080.13462160966453
0.1529.08609954648330.126357208043957
0.1629.11809865384710.116437808792741
0.1729.14715854460140.106586176071898
0.1829.17343712609140.0981270180276562
0.1929.19733018485640.0918760851733703
0.229.21935538537340.0879426620861029
0.2129.24005068268260.0861425797092831
0.2229.25990500175930.0860047599156408
0.2329.27932432320520.087104607947369
0.2429.29862604872390.0891557940400923
0.2529.31805022447440.0919410403330671
0.2629.33777697733590.0953158198835913
0.2729.35794322248910.0992004260517262
0.2829.37865602385530.103496570455639
0.2929.4000031990290.108089990516595
0.329.42206303942850.11297942950757
0.3129.44491445910730.118194337597394
0.3229.4686472420650.123838141396068
0.3329.49337033843810.130122276538351
0.3429.51921523669130.137290579884039
0.3529.54633176270610.145425371473929
0.3629.5748751598730.154587889221625
0.3729.60498549006590.164583649464223
0.3829.63676255370560.175097726656068
0.3929.67024098788890.185600416907896
0.429.70537053949710.195541612228888
0.4129.74200564768630.204250572216217
0.4229.77990666499850.211158363311861
0.4329.81875278718610.215913867901149
0.4429.85816461461960.218242169264226
0.4529.89773272148490.218080957576317
0.4629.93704795786670.215567570762596
0.4729.97572950125120.210918270038725
0.4830.01344772012280.204582285784461
0.4930.0499403609570.196934148258524
0.530.08502200995930.188465393171287
0.5130.11858785438810.179577310237159
0.5230.15061326031070.170723197581676
0.5330.18115056842870.162261227974612
0.5430.21032394247970.154578532355816
0.5530.2383223639750.148034381819022
0.5630.26539026336380.142966565947602
0.5730.29181505753410.139591057175244
0.5830.31791113469850.138030122301074
0.5930.34400052908180.138335687182919
0.630.37039145231250.140342357385621
0.6130.39735671110310.143768483502021
0.6230.425114570550.148141170412759
0.6330.45381464630160.15304463518199
0.6430.48353090128990.157944905967564
0.6530.51426290309290.162454673957244
0.6630.54594538045310.166238458782658
0.6730.57846503450270.169046337369222
0.6830.61168269245150.170847200146361
0.6930.64545833180580.171654682634883
0.730.67967626722350.171695039892803
0.7130.71426786156310.171228576302319
0.7230.74922949020870.170620966303306
0.7330.78463416768410.170317705240642
0.7430.82063623267480.170710917668274
0.7530.85746967984530.17218052410873
0.7630.89544186420590.174962342051438
0.7730.93492499072340.179231984861391
0.7830.97634765810840.185119567401693
0.7931.02018763677440.192658753011834
0.831.06696539850920.201874646674754
0.8131.11723652098860.212765833303145
0.8231.17158085204770.225289221715893
0.8331.23058738975120.23922179101
0.8431.29483492164430.25421449104168
0.8531.36486695376750.269838699663159
0.8631.44115304312540.285541114392231
0.8731.52401830623360.300692093882479
0.8831.61351547815180.314397558053961
0.8931.70922145455910.325120833228944
0.931.80997349829540.330443541069592
0.9131.91361805723140.327099369027141
0.9232.01690693350970.311761384091068
0.9332.11570760230610.282450413595291
0.9432.20566978426510.239872673052727
0.9532.28339398084660.188271200754378
0.9632.34791120448380.135424148749569
0.9732.40167915616670.0921981339253475
0.9832.44922883233360.0726841611879915
0.9932.49157620800420.0818192726705921

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 28.506319207016 & 0.0720429174250367 \tabularnewline
0.02 & 28.5532630389183 & 0.0989195293951824 \tabularnewline
0.03 & 28.6091053290107 & 0.108602383766083 \tabularnewline
0.04 & 28.6637527312873 & 0.102943763804976 \tabularnewline
0.05 & 28.7122829033268 & 0.093522152846304 \tabularnewline
0.06 & 28.7542825518434 & 0.0890618918826795 \tabularnewline
0.07 & 28.7917668831743 & 0.0921823102031655 \tabularnewline
0.08 & 28.8272978318559 & 0.101296000407021 \tabularnewline
0.09 & 28.8628807508215 & 0.113358527543431 \tabularnewline
0.1 & 28.8995676271581 & 0.125376609713948 \tabularnewline
0.11 & 28.9374868751381 & 0.134737664694713 \tabularnewline
0.12 & 28.9760733007738 & 0.139661321031354 \tabularnewline
0.13 & 29.0143713558097 & 0.139485954245978 \tabularnewline
0.14 & 29.0513391824508 & 0.13462160966453 \tabularnewline
0.15 & 29.0860995464833 & 0.126357208043957 \tabularnewline
0.16 & 29.1180986538471 & 0.116437808792741 \tabularnewline
0.17 & 29.1471585446014 & 0.106586176071898 \tabularnewline
0.18 & 29.1734371260914 & 0.0981270180276562 \tabularnewline
0.19 & 29.1973301848564 & 0.0918760851733703 \tabularnewline
0.2 & 29.2193553853734 & 0.0879426620861029 \tabularnewline
0.21 & 29.2400506826826 & 0.0861425797092831 \tabularnewline
0.22 & 29.2599050017593 & 0.0860047599156408 \tabularnewline
0.23 & 29.2793243232052 & 0.087104607947369 \tabularnewline
0.24 & 29.2986260487239 & 0.0891557940400923 \tabularnewline
0.25 & 29.3180502244744 & 0.0919410403330671 \tabularnewline
0.26 & 29.3377769773359 & 0.0953158198835913 \tabularnewline
0.27 & 29.3579432224891 & 0.0992004260517262 \tabularnewline
0.28 & 29.3786560238553 & 0.103496570455639 \tabularnewline
0.29 & 29.400003199029 & 0.108089990516595 \tabularnewline
0.3 & 29.4220630394285 & 0.11297942950757 \tabularnewline
0.31 & 29.4449144591073 & 0.118194337597394 \tabularnewline
0.32 & 29.468647242065 & 0.123838141396068 \tabularnewline
0.33 & 29.4933703384381 & 0.130122276538351 \tabularnewline
0.34 & 29.5192152366913 & 0.137290579884039 \tabularnewline
0.35 & 29.5463317627061 & 0.145425371473929 \tabularnewline
0.36 & 29.574875159873 & 0.154587889221625 \tabularnewline
0.37 & 29.6049854900659 & 0.164583649464223 \tabularnewline
0.38 & 29.6367625537056 & 0.175097726656068 \tabularnewline
0.39 & 29.6702409878889 & 0.185600416907896 \tabularnewline
0.4 & 29.7053705394971 & 0.195541612228888 \tabularnewline
0.41 & 29.7420056476863 & 0.204250572216217 \tabularnewline
0.42 & 29.7799066649985 & 0.211158363311861 \tabularnewline
0.43 & 29.8187527871861 & 0.215913867901149 \tabularnewline
0.44 & 29.8581646146196 & 0.218242169264226 \tabularnewline
0.45 & 29.8977327214849 & 0.218080957576317 \tabularnewline
0.46 & 29.9370479578667 & 0.215567570762596 \tabularnewline
0.47 & 29.9757295012512 & 0.210918270038725 \tabularnewline
0.48 & 30.0134477201228 & 0.204582285784461 \tabularnewline
0.49 & 30.049940360957 & 0.196934148258524 \tabularnewline
0.5 & 30.0850220099593 & 0.188465393171287 \tabularnewline
0.51 & 30.1185878543881 & 0.179577310237159 \tabularnewline
0.52 & 30.1506132603107 & 0.170723197581676 \tabularnewline
0.53 & 30.1811505684287 & 0.162261227974612 \tabularnewline
0.54 & 30.2103239424797 & 0.154578532355816 \tabularnewline
0.55 & 30.238322363975 & 0.148034381819022 \tabularnewline
0.56 & 30.2653902633638 & 0.142966565947602 \tabularnewline
0.57 & 30.2918150575341 & 0.139591057175244 \tabularnewline
0.58 & 30.3179111346985 & 0.138030122301074 \tabularnewline
0.59 & 30.3440005290818 & 0.138335687182919 \tabularnewline
0.6 & 30.3703914523125 & 0.140342357385621 \tabularnewline
0.61 & 30.3973567111031 & 0.143768483502021 \tabularnewline
0.62 & 30.42511457055 & 0.148141170412759 \tabularnewline
0.63 & 30.4538146463016 & 0.15304463518199 \tabularnewline
0.64 & 30.4835309012899 & 0.157944905967564 \tabularnewline
0.65 & 30.5142629030929 & 0.162454673957244 \tabularnewline
0.66 & 30.5459453804531 & 0.166238458782658 \tabularnewline
0.67 & 30.5784650345027 & 0.169046337369222 \tabularnewline
0.68 & 30.6116826924515 & 0.170847200146361 \tabularnewline
0.69 & 30.6454583318058 & 0.171654682634883 \tabularnewline
0.7 & 30.6796762672235 & 0.171695039892803 \tabularnewline
0.71 & 30.7142678615631 & 0.171228576302319 \tabularnewline
0.72 & 30.7492294902087 & 0.170620966303306 \tabularnewline
0.73 & 30.7846341676841 & 0.170317705240642 \tabularnewline
0.74 & 30.8206362326748 & 0.170710917668274 \tabularnewline
0.75 & 30.8574696798453 & 0.17218052410873 \tabularnewline
0.76 & 30.8954418642059 & 0.174962342051438 \tabularnewline
0.77 & 30.9349249907234 & 0.179231984861391 \tabularnewline
0.78 & 30.9763476581084 & 0.185119567401693 \tabularnewline
0.79 & 31.0201876367744 & 0.192658753011834 \tabularnewline
0.8 & 31.0669653985092 & 0.201874646674754 \tabularnewline
0.81 & 31.1172365209886 & 0.212765833303145 \tabularnewline
0.82 & 31.1715808520477 & 0.225289221715893 \tabularnewline
0.83 & 31.2305873897512 & 0.23922179101 \tabularnewline
0.84 & 31.2948349216443 & 0.25421449104168 \tabularnewline
0.85 & 31.3648669537675 & 0.269838699663159 \tabularnewline
0.86 & 31.4411530431254 & 0.285541114392231 \tabularnewline
0.87 & 31.5240183062336 & 0.300692093882479 \tabularnewline
0.88 & 31.6135154781518 & 0.314397558053961 \tabularnewline
0.89 & 31.7092214545591 & 0.325120833228944 \tabularnewline
0.9 & 31.8099734982954 & 0.330443541069592 \tabularnewline
0.91 & 31.9136180572314 & 0.327099369027141 \tabularnewline
0.92 & 32.0169069335097 & 0.311761384091068 \tabularnewline
0.93 & 32.1157076023061 & 0.282450413595291 \tabularnewline
0.94 & 32.2056697842651 & 0.239872673052727 \tabularnewline
0.95 & 32.2833939808466 & 0.188271200754378 \tabularnewline
0.96 & 32.3479112044838 & 0.135424148749569 \tabularnewline
0.97 & 32.4016791561667 & 0.0921981339253475 \tabularnewline
0.98 & 32.4492288323336 & 0.0726841611879915 \tabularnewline
0.99 & 32.4915762080042 & 0.0818192726705921 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212774&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]28.506319207016[/C][C]0.0720429174250367[/C][/ROW]
[ROW][C]0.02[/C][C]28.5532630389183[/C][C]0.0989195293951824[/C][/ROW]
[ROW][C]0.03[/C][C]28.6091053290107[/C][C]0.108602383766083[/C][/ROW]
[ROW][C]0.04[/C][C]28.6637527312873[/C][C]0.102943763804976[/C][/ROW]
[ROW][C]0.05[/C][C]28.7122829033268[/C][C]0.093522152846304[/C][/ROW]
[ROW][C]0.06[/C][C]28.7542825518434[/C][C]0.0890618918826795[/C][/ROW]
[ROW][C]0.07[/C][C]28.7917668831743[/C][C]0.0921823102031655[/C][/ROW]
[ROW][C]0.08[/C][C]28.8272978318559[/C][C]0.101296000407021[/C][/ROW]
[ROW][C]0.09[/C][C]28.8628807508215[/C][C]0.113358527543431[/C][/ROW]
[ROW][C]0.1[/C][C]28.8995676271581[/C][C]0.125376609713948[/C][/ROW]
[ROW][C]0.11[/C][C]28.9374868751381[/C][C]0.134737664694713[/C][/ROW]
[ROW][C]0.12[/C][C]28.9760733007738[/C][C]0.139661321031354[/C][/ROW]
[ROW][C]0.13[/C][C]29.0143713558097[/C][C]0.139485954245978[/C][/ROW]
[ROW][C]0.14[/C][C]29.0513391824508[/C][C]0.13462160966453[/C][/ROW]
[ROW][C]0.15[/C][C]29.0860995464833[/C][C]0.126357208043957[/C][/ROW]
[ROW][C]0.16[/C][C]29.1180986538471[/C][C]0.116437808792741[/C][/ROW]
[ROW][C]0.17[/C][C]29.1471585446014[/C][C]0.106586176071898[/C][/ROW]
[ROW][C]0.18[/C][C]29.1734371260914[/C][C]0.0981270180276562[/C][/ROW]
[ROW][C]0.19[/C][C]29.1973301848564[/C][C]0.0918760851733703[/C][/ROW]
[ROW][C]0.2[/C][C]29.2193553853734[/C][C]0.0879426620861029[/C][/ROW]
[ROW][C]0.21[/C][C]29.2400506826826[/C][C]0.0861425797092831[/C][/ROW]
[ROW][C]0.22[/C][C]29.2599050017593[/C][C]0.0860047599156408[/C][/ROW]
[ROW][C]0.23[/C][C]29.2793243232052[/C][C]0.087104607947369[/C][/ROW]
[ROW][C]0.24[/C][C]29.2986260487239[/C][C]0.0891557940400923[/C][/ROW]
[ROW][C]0.25[/C][C]29.3180502244744[/C][C]0.0919410403330671[/C][/ROW]
[ROW][C]0.26[/C][C]29.3377769773359[/C][C]0.0953158198835913[/C][/ROW]
[ROW][C]0.27[/C][C]29.3579432224891[/C][C]0.0992004260517262[/C][/ROW]
[ROW][C]0.28[/C][C]29.3786560238553[/C][C]0.103496570455639[/C][/ROW]
[ROW][C]0.29[/C][C]29.400003199029[/C][C]0.108089990516595[/C][/ROW]
[ROW][C]0.3[/C][C]29.4220630394285[/C][C]0.11297942950757[/C][/ROW]
[ROW][C]0.31[/C][C]29.4449144591073[/C][C]0.118194337597394[/C][/ROW]
[ROW][C]0.32[/C][C]29.468647242065[/C][C]0.123838141396068[/C][/ROW]
[ROW][C]0.33[/C][C]29.4933703384381[/C][C]0.130122276538351[/C][/ROW]
[ROW][C]0.34[/C][C]29.5192152366913[/C][C]0.137290579884039[/C][/ROW]
[ROW][C]0.35[/C][C]29.5463317627061[/C][C]0.145425371473929[/C][/ROW]
[ROW][C]0.36[/C][C]29.574875159873[/C][C]0.154587889221625[/C][/ROW]
[ROW][C]0.37[/C][C]29.6049854900659[/C][C]0.164583649464223[/C][/ROW]
[ROW][C]0.38[/C][C]29.6367625537056[/C][C]0.175097726656068[/C][/ROW]
[ROW][C]0.39[/C][C]29.6702409878889[/C][C]0.185600416907896[/C][/ROW]
[ROW][C]0.4[/C][C]29.7053705394971[/C][C]0.195541612228888[/C][/ROW]
[ROW][C]0.41[/C][C]29.7420056476863[/C][C]0.204250572216217[/C][/ROW]
[ROW][C]0.42[/C][C]29.7799066649985[/C][C]0.211158363311861[/C][/ROW]
[ROW][C]0.43[/C][C]29.8187527871861[/C][C]0.215913867901149[/C][/ROW]
[ROW][C]0.44[/C][C]29.8581646146196[/C][C]0.218242169264226[/C][/ROW]
[ROW][C]0.45[/C][C]29.8977327214849[/C][C]0.218080957576317[/C][/ROW]
[ROW][C]0.46[/C][C]29.9370479578667[/C][C]0.215567570762596[/C][/ROW]
[ROW][C]0.47[/C][C]29.9757295012512[/C][C]0.210918270038725[/C][/ROW]
[ROW][C]0.48[/C][C]30.0134477201228[/C][C]0.204582285784461[/C][/ROW]
[ROW][C]0.49[/C][C]30.049940360957[/C][C]0.196934148258524[/C][/ROW]
[ROW][C]0.5[/C][C]30.0850220099593[/C][C]0.188465393171287[/C][/ROW]
[ROW][C]0.51[/C][C]30.1185878543881[/C][C]0.179577310237159[/C][/ROW]
[ROW][C]0.52[/C][C]30.1506132603107[/C][C]0.170723197581676[/C][/ROW]
[ROW][C]0.53[/C][C]30.1811505684287[/C][C]0.162261227974612[/C][/ROW]
[ROW][C]0.54[/C][C]30.2103239424797[/C][C]0.154578532355816[/C][/ROW]
[ROW][C]0.55[/C][C]30.238322363975[/C][C]0.148034381819022[/C][/ROW]
[ROW][C]0.56[/C][C]30.2653902633638[/C][C]0.142966565947602[/C][/ROW]
[ROW][C]0.57[/C][C]30.2918150575341[/C][C]0.139591057175244[/C][/ROW]
[ROW][C]0.58[/C][C]30.3179111346985[/C][C]0.138030122301074[/C][/ROW]
[ROW][C]0.59[/C][C]30.3440005290818[/C][C]0.138335687182919[/C][/ROW]
[ROW][C]0.6[/C][C]30.3703914523125[/C][C]0.140342357385621[/C][/ROW]
[ROW][C]0.61[/C][C]30.3973567111031[/C][C]0.143768483502021[/C][/ROW]
[ROW][C]0.62[/C][C]30.42511457055[/C][C]0.148141170412759[/C][/ROW]
[ROW][C]0.63[/C][C]30.4538146463016[/C][C]0.15304463518199[/C][/ROW]
[ROW][C]0.64[/C][C]30.4835309012899[/C][C]0.157944905967564[/C][/ROW]
[ROW][C]0.65[/C][C]30.5142629030929[/C][C]0.162454673957244[/C][/ROW]
[ROW][C]0.66[/C][C]30.5459453804531[/C][C]0.166238458782658[/C][/ROW]
[ROW][C]0.67[/C][C]30.5784650345027[/C][C]0.169046337369222[/C][/ROW]
[ROW][C]0.68[/C][C]30.6116826924515[/C][C]0.170847200146361[/C][/ROW]
[ROW][C]0.69[/C][C]30.6454583318058[/C][C]0.171654682634883[/C][/ROW]
[ROW][C]0.7[/C][C]30.6796762672235[/C][C]0.171695039892803[/C][/ROW]
[ROW][C]0.71[/C][C]30.7142678615631[/C][C]0.171228576302319[/C][/ROW]
[ROW][C]0.72[/C][C]30.7492294902087[/C][C]0.170620966303306[/C][/ROW]
[ROW][C]0.73[/C][C]30.7846341676841[/C][C]0.170317705240642[/C][/ROW]
[ROW][C]0.74[/C][C]30.8206362326748[/C][C]0.170710917668274[/C][/ROW]
[ROW][C]0.75[/C][C]30.8574696798453[/C][C]0.17218052410873[/C][/ROW]
[ROW][C]0.76[/C][C]30.8954418642059[/C][C]0.174962342051438[/C][/ROW]
[ROW][C]0.77[/C][C]30.9349249907234[/C][C]0.179231984861391[/C][/ROW]
[ROW][C]0.78[/C][C]30.9763476581084[/C][C]0.185119567401693[/C][/ROW]
[ROW][C]0.79[/C][C]31.0201876367744[/C][C]0.192658753011834[/C][/ROW]
[ROW][C]0.8[/C][C]31.0669653985092[/C][C]0.201874646674754[/C][/ROW]
[ROW][C]0.81[/C][C]31.1172365209886[/C][C]0.212765833303145[/C][/ROW]
[ROW][C]0.82[/C][C]31.1715808520477[/C][C]0.225289221715893[/C][/ROW]
[ROW][C]0.83[/C][C]31.2305873897512[/C][C]0.23922179101[/C][/ROW]
[ROW][C]0.84[/C][C]31.2948349216443[/C][C]0.25421449104168[/C][/ROW]
[ROW][C]0.85[/C][C]31.3648669537675[/C][C]0.269838699663159[/C][/ROW]
[ROW][C]0.86[/C][C]31.4411530431254[/C][C]0.285541114392231[/C][/ROW]
[ROW][C]0.87[/C][C]31.5240183062336[/C][C]0.300692093882479[/C][/ROW]
[ROW][C]0.88[/C][C]31.6135154781518[/C][C]0.314397558053961[/C][/ROW]
[ROW][C]0.89[/C][C]31.7092214545591[/C][C]0.325120833228944[/C][/ROW]
[ROW][C]0.9[/C][C]31.8099734982954[/C][C]0.330443541069592[/C][/ROW]
[ROW][C]0.91[/C][C]31.9136180572314[/C][C]0.327099369027141[/C][/ROW]
[ROW][C]0.92[/C][C]32.0169069335097[/C][C]0.311761384091068[/C][/ROW]
[ROW][C]0.93[/C][C]32.1157076023061[/C][C]0.282450413595291[/C][/ROW]
[ROW][C]0.94[/C][C]32.2056697842651[/C][C]0.239872673052727[/C][/ROW]
[ROW][C]0.95[/C][C]32.2833939808466[/C][C]0.188271200754378[/C][/ROW]
[ROW][C]0.96[/C][C]32.3479112044838[/C][C]0.135424148749569[/C][/ROW]
[ROW][C]0.97[/C][C]32.4016791561667[/C][C]0.0921981339253475[/C][/ROW]
[ROW][C]0.98[/C][C]32.4492288323336[/C][C]0.0726841611879915[/C][/ROW]
[ROW][C]0.99[/C][C]32.4915762080042[/C][C]0.0818192726705921[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212774&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212774&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
0.0128.5063192070160.0720429174250367
0.0228.55326303891830.0989195293951824
0.0328.60910532901070.108602383766083
0.0428.66375273128730.102943763804976
0.0528.71228290332680.093522152846304
0.0628.75428255184340.0890618918826795
0.0728.79176688317430.0921823102031655
0.0828.82729783185590.101296000407021
0.0928.86288075082150.113358527543431
0.128.89956762715810.125376609713948
0.1128.93748687513810.134737664694713
0.1228.97607330077380.139661321031354
0.1329.01437135580970.139485954245978
0.1429.05133918245080.13462160966453
0.1529.08609954648330.126357208043957
0.1629.11809865384710.116437808792741
0.1729.14715854460140.106586176071898
0.1829.17343712609140.0981270180276562
0.1929.19733018485640.0918760851733703
0.229.21935538537340.0879426620861029
0.2129.24005068268260.0861425797092831
0.2229.25990500175930.0860047599156408
0.2329.27932432320520.087104607947369
0.2429.29862604872390.0891557940400923
0.2529.31805022447440.0919410403330671
0.2629.33777697733590.0953158198835913
0.2729.35794322248910.0992004260517262
0.2829.37865602385530.103496570455639
0.2929.4000031990290.108089990516595
0.329.42206303942850.11297942950757
0.3129.44491445910730.118194337597394
0.3229.4686472420650.123838141396068
0.3329.49337033843810.130122276538351
0.3429.51921523669130.137290579884039
0.3529.54633176270610.145425371473929
0.3629.5748751598730.154587889221625
0.3729.60498549006590.164583649464223
0.3829.63676255370560.175097726656068
0.3929.67024098788890.185600416907896
0.429.70537053949710.195541612228888
0.4129.74200564768630.204250572216217
0.4229.77990666499850.211158363311861
0.4329.81875278718610.215913867901149
0.4429.85816461461960.218242169264226
0.4529.89773272148490.218080957576317
0.4629.93704795786670.215567570762596
0.4729.97572950125120.210918270038725
0.4830.01344772012280.204582285784461
0.4930.0499403609570.196934148258524
0.530.08502200995930.188465393171287
0.5130.11858785438810.179577310237159
0.5230.15061326031070.170723197581676
0.5330.18115056842870.162261227974612
0.5430.21032394247970.154578532355816
0.5530.2383223639750.148034381819022
0.5630.26539026336380.142966565947602
0.5730.29181505753410.139591057175244
0.5830.31791113469850.138030122301074
0.5930.34400052908180.138335687182919
0.630.37039145231250.140342357385621
0.6130.39735671110310.143768483502021
0.6230.425114570550.148141170412759
0.6330.45381464630160.15304463518199
0.6430.48353090128990.157944905967564
0.6530.51426290309290.162454673957244
0.6630.54594538045310.166238458782658
0.6730.57846503450270.169046337369222
0.6830.61168269245150.170847200146361
0.6930.64545833180580.171654682634883
0.730.67967626722350.171695039892803
0.7130.71426786156310.171228576302319
0.7230.74922949020870.170620966303306
0.7330.78463416768410.170317705240642
0.7430.82063623267480.170710917668274
0.7530.85746967984530.17218052410873
0.7630.89544186420590.174962342051438
0.7730.93492499072340.179231984861391
0.7830.97634765810840.185119567401693
0.7931.02018763677440.192658753011834
0.831.06696539850920.201874646674754
0.8131.11723652098860.212765833303145
0.8231.17158085204770.225289221715893
0.8331.23058738975120.23922179101
0.8431.29483492164430.25421449104168
0.8531.36486695376750.269838699663159
0.8631.44115304312540.285541114392231
0.8731.52401830623360.300692093882479
0.8831.61351547815180.314397558053961
0.8931.70922145455910.325120833228944
0.931.80997349829540.330443541069592
0.9131.91361805723140.327099369027141
0.9232.01690693350970.311761384091068
0.9332.11570760230610.282450413595291
0.9432.20566978426510.239872673052727
0.9532.28339398084660.188271200754378
0.9632.34791120448380.135424148749569
0.9732.40167915616670.0921981339253475
0.9832.44922883233360.0726841611879915
0.9932.49157620800420.0818192726705921


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')