nerve: The Nerve Data

Description Usage Format Source Examples

Description

The Nerve data set has been popularized by Cox and Lewis (1966). In this experiment 799 waiting times are recorded for successive pulses along a nerve fiber.

Usage

1

Format

The format is: num [1:799] 0.21 0.03 0.05 0.11 0.59 0.06 0.18 0.55 0.37 0.09 ...

Source

Cox, D. and Lewis, P. (1966). The Statistical Analysis of Series of Events. Chapman & Hall.

Examples

1
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5
data(nerve)
nerve_ecdf <- ecdf(nerve)
knots(nerve_ecdf) # Returns the jump points of the edf
summary(nerve_ecdf) # the usual R summaries
nerve_ecdf(nerve) # returns the percentiles at the data points

Example output

 [1] 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10 0.11 0.12 0.13 0.14 0.15
[16] 0.16 0.17 0.18 0.19 0.20 0.21 0.22 0.23 0.24 0.25 0.26 0.27 0.28 0.29 0.30
[31] 0.31 0.32 0.33 0.34 0.35 0.36 0.37 0.38 0.39 0.40 0.41 0.42 0.43 0.44 0.45
[46] 0.46 0.47 0.48 0.49 0.50 0.51 0.52 0.53 0.55 0.56 0.57 0.58 0.59 0.61 0.62
[61] 0.63 0.64 0.65 0.66 0.67 0.68 0.69 0.70 0.71 0.72 0.73 0.74 0.76 0.77 0.78
[76] 0.81 0.82 0.83 0.87 0.90 0.93 0.94 0.96 1.10 1.12 1.21 1.35 1.38
Empirical CDF:	  88 unique values with summary
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
 0.0100  0.2275  0.4450  0.4789  0.6825  1.3800 
  [1] 0.63204005 0.11389237 0.20025031 0.40801001 0.93366708 0.23529412
  [7] 0.58072591 0.92240300 0.81101377 0.34292866 0.48310388 0.59449312
 [13] 0.08260325 0.48310388 0.34292866 0.20025031 0.51939925 0.66082603
 [19] 0.51939925 0.31163955 0.67334168 0.54443054 0.23529412 0.40801001
 [25] 0.51939925 0.34292866 0.11389237 0.63204005 0.08260325 0.48310388
 [31] 0.67334168 0.74843554 0.54443054 0.27033792 0.27033792 0.15769712
 [37] 0.08260325 0.51939925 0.43178974 0.69837297 0.51939925 0.77972466
 [43] 0.23529412 0.91239049 0.40801001 0.73466834 0.80725907 0.48310388
 [49] 0.92240300 0.73466834 0.15769712 0.04130163 0.99249061 0.96996245
 [55] 0.20025031 0.27033792 0.40801001 0.82227785 0.63204005 0.89111389
 [61] 0.82227785 0.82227785 0.04130163 0.23529412 0.45181477 0.23529412
 [67] 0.04130163 0.54443054 0.20025031 0.38297872 0.54443054 0.23529412
 [73] 0.23529412 0.23529412 0.23529412 0.40801001 0.86608260 0.20025031
 [79] 0.34292866 0.15769712 0.71839800 0.89987484 0.68085106 0.68085106
 [85] 0.31163955 0.04130163 0.95619524 0.15769712 0.31163955 0.54443054
 [91] 0.82227785 0.31163955 0.77596996 0.83354193 0.93116395 0.92615770
 [97] 0.97246558 0.51939925 0.27033792 0.69837297 0.68085106 0.04130163
[103] 0.56821026 0.94367960 0.93617021 0.51939925 0.69837297 0.11389237
[109] 0.20025031 0.79349186 0.27033792 0.38297872 0.34292866 0.08260325
[115] 0.76095119 0.27033792 0.43178974 0.04130163 0.54443054 0.48310388
[121] 0.89111389 0.27033792 0.40801001 0.80100125 0.99749687 0.56821026
[127] 0.04130163 0.80100125 0.87359199 0.27033792 0.99123905 0.15769712
[133] 0.99374218 0.48310388 1.00000000 0.51939925 0.04130163 0.20025031
[139] 0.66082603 0.76720901 0.20025031 0.20025031 0.74843554 0.04130163
[145] 0.97246558 0.76095119 0.34292866 0.08260325 0.59449312 0.88235294
[151] 0.04130163 0.91239049 0.43178974 0.43178974 0.85607009 0.77596996
[157] 0.34292866 0.60826033 0.11389237 0.20025031 0.45181477 0.51939925
[163] 0.20025031 0.31163955 0.15769712 0.34292866 0.38297872 0.38297872
[169] 0.69837297 0.27033792 0.95369212 0.51939925 0.04130163 0.71839800
[175] 0.20025031 0.11389237 0.84105131 0.15769712 0.63204005 0.74843554
[181] 0.67334168 0.31163955 0.66082603 0.38297872 0.59449312 0.60826033
[187] 0.69837297 0.23529412 0.84105131 0.91239049 0.51939925 0.99499374
[193] 0.54443054 0.97747184 0.15769712 0.71839800 0.80100125 0.96370463
[199] 0.51939925 0.74843554 0.15769712 0.04130163 0.73466834 0.63204005
[205] 0.34292866 0.56821026 0.34292866 0.56821026 0.51939925 0.93992491
[211] 0.89987484 0.27033792 0.83354193 0.73466834 0.60826033 0.79349186
[217] 0.54443054 0.94618273 0.15769712 0.94868586 0.38297872 0.91239049
[223] 0.69837297 0.27033792 0.96370463 0.40801001 0.88235294 0.08260325
[229] 0.82227785 0.15769712 0.85607009 0.40801001 0.66082603 0.48310388
[235] 0.31163955 0.99624531 0.89987484 0.68085106 0.58072591 0.43178974
[241] 0.08260325 0.51939925 0.43178974 0.31163955 0.82227785 0.64705882
[247] 0.54443054 0.15769712 0.93116395 0.20025031 0.27033792 0.73466834
[253] 0.71839800 0.67334168 0.27033792 0.08260325 0.71839800 0.71839800
[259] 0.54443054 0.20025031 0.79349186 0.38297872 0.08260325 0.15769712
[265] 0.38297872 0.64705882 0.67334168 0.15769712 0.73466834 0.38297872
[271] 0.66082603 0.11389237 0.79349186 0.63204005 0.84480601 0.51939925
[277] 0.20025031 0.56821026 0.91989987 0.76095119 0.51939925 0.59449312
[283] 0.27033792 0.98748436 0.15769712 0.15769712 0.48310388 0.79349186
[289] 0.38297872 0.51939925 0.20025031 0.15769712 0.20025031 0.94618273
[295] 0.54443054 0.77596996 0.98873592 0.27033792 0.56821026 0.38297872
[301] 0.11389237 0.56821026 0.82227785 0.73466834 0.48310388 0.27033792
[307] 0.48310388 0.11389237 0.63204005 0.84105131 0.15769712 0.40801001
[313] 0.86608260 0.98998748 0.38297872 0.89111389 0.34292866 0.04130163
[319] 0.31163955 0.23529412 0.31163955 0.04130163 0.51939925 0.89987484
[325] 0.80725907 0.31163955 0.79349186 0.08260325 0.63204005 0.77596996
[331] 0.64705882 0.91239049 0.43178974 0.54443054 0.91739675 0.63204005
[337] 0.20025031 0.87734668 0.86608260 0.15769712 0.20025031 0.15769712
[343] 0.48310388 0.31163955 0.63204005 0.08260325 0.94117647 0.80100125
[349] 0.04130163 0.82227785 0.85607009 0.11389237 0.83354193 0.15769712
[355] 0.56821026 0.66082603 0.97747184 0.48310388 0.31163955 0.40801001
[361] 0.27033792 0.87359199 0.87734668 0.60826033 0.59449312 0.89987484
[367] 0.34292866 0.64705882 0.74843554 0.04130163 0.59449312 0.23529412
[373] 0.83354193 0.31163955 0.11389237 0.73466834 0.34292866 0.56821026
[379] 0.87359199 0.84105131 0.27033792 0.76095119 0.54443054 0.67334168
[385] 0.98247810 0.99874844 0.04130163 0.08260325 0.11389237 0.23529412
[391] 0.43178974 0.76720901 0.94367960 0.31163955 0.51939925 0.23529412
[397] 0.23529412 0.51939925 0.95369212 0.76095119 0.08260325 0.15769712
[403] 0.08260325 0.98247810 0.34292866 0.59449312 0.48310388 0.43178974
[409] 0.80725907 0.08260325 0.40801001 0.15769712 0.31163955 0.56821026
[415] 0.15769712 0.20025031 0.48310388 0.27033792 0.83354193 0.45181477
[421] 0.92615770 0.43178974 0.76720901 0.20025031 0.38297872 0.45181477
[427] 0.20025031 0.04130163 0.34292866 0.11389237 0.71839800 0.56821026
[433] 0.11389237 0.20025031 0.69837297 0.66082603 0.60826033 0.97371715
[439] 0.20025031 0.08260325 0.04130163 0.60826033 0.63204005 0.08260325
[445] 0.15769712 0.54443054 0.77596996 0.85607009 0.60826033 0.45181477
[451] 0.38297872 0.60826033 0.31163955 0.98247810 0.40801001 0.34292866
[457] 0.69837297 0.51939925 0.80725907 0.58072591 0.38297872 0.79349186
[463] 0.92615770 0.34292866 0.51939925 0.48310388 0.51939925 0.64705882
[469] 0.77972466 0.15769712 0.27033792 0.34292866 0.58072591 0.31163955
[475] 0.27033792 0.27033792 0.95369212 0.71839800 0.63204005 0.40801001
[481] 0.27033792 0.86608260 0.45181477 0.15769712 0.83354193 0.48310388
[487] 0.38297872 0.31163955 0.08260325 0.92866083 0.80100125 0.56821026
[493] 0.63204005 0.48310388 0.97496871 0.23529412 0.79349186 0.51939925
[499] 0.74843554 0.31163955 0.96745932 0.76720901 0.60826033 0.38297872
[505] 0.04130163 0.67334168 0.27033792 0.64705882 0.89111389 0.11389237
[511] 0.58072591 0.88235294 0.81101377 0.56821026 0.84981227 0.08260325
[517] 0.64705882 0.43178974 0.04130163 0.79349186 0.84480601 0.71839800
[523] 0.27033792 0.76095119 0.34292866 0.71839800 0.73466834 0.51939925
[529] 0.69837297 0.04130163 0.23529412 0.80100125 0.11389237 0.69837297
[535] 0.20025031 0.58072591 0.87734668 0.43178974 0.66082603 0.77596996
[541] 0.31163955 0.69837297 0.98498123 0.38297872 0.95494368 0.51939925
[547] 0.04130163 0.83354193 0.15769712 0.45181477 0.79349186 0.45181477
[553] 0.45181477 0.76095119 0.74843554 0.66082603 0.04130163 0.82227785
[559] 0.15769712 0.31163955 0.51939925 0.38297872 0.93992491 0.98748436
[565] 0.40801001 0.96370463 0.31163955 0.93617021 0.58072591 0.20025031
[571] 0.60826033 0.43178974 0.38297872 0.11389237 0.40801001 0.60826033
[577] 0.54443054 0.38297872 0.11389237 0.66082603 0.43178974 0.04130163
[583] 0.43178974 0.56821026 0.48310388 0.38297872 0.08260325 0.45181477
[589] 0.23529412 0.63204005 0.89987484 0.15769712 0.84981227 0.74843554
[595] 0.31163955 0.04130163 0.76095119 0.87359199 0.23529412 0.68085106
[601] 0.08260325 0.23529412 0.08260325 0.56821026 0.38297872 0.73466834
[607] 0.63204005 0.73466834 0.76095119 0.08260325 0.08260325 0.73466834
[613] 0.34292866 0.96370463 0.23529412 0.43178974 0.74843554 0.20025031
[619] 0.71839800 0.68085106 0.38297872 0.54443054 0.31163955 0.91739675
[625] 0.86608260 0.59449312 0.96745932 0.43178974 0.76095119 0.48310388
[631] 0.87359199 0.84981227 0.34292866 0.27033792 0.93992491 0.91239049
[637] 0.89987484 0.88235294 0.73466834 0.15769712 0.94743429 0.31163955
[643] 0.40801001 0.11389237 0.77596996 0.54443054 0.40801001 0.69837297
[649] 0.20025031 0.27033792 0.15769712 0.64705882 0.31163955 0.31163955
[655] 0.04130163 0.23529412 0.20025031 0.20025031 0.54443054 0.20025031
[661] 0.45181477 0.84981227 0.63204005 0.80725907 0.20025031 0.04130163
[667] 0.86608260 0.48310388 0.48310388 0.48310388 0.31163955 0.91239049
[673] 0.58072591 0.08260325 0.91239049 0.23529412 0.64705882 0.04130163
[679] 0.34292866 0.64705882 0.93366708 0.11389237 0.96370463 0.48310388
[685] 0.08260325 0.91239049 0.11389237 0.84480601 0.56821026 0.81101377
[691] 0.83354193 0.98498123 0.98247810 0.67334168 0.91739675 0.84105131
[697] 0.67334168 0.23529412 0.96996245 0.71839800 0.58072591 0.04130163
[703] 0.56821026 0.08260325 0.40801001 0.69837297 0.45181477 0.95369212
[709] 0.45181477 0.31163955 0.96370463 0.15769712 0.40801001 0.45181477
[715] 0.56821026 0.79349186 0.66082603 0.31163955 0.69837297 0.11389237
[721] 0.63204005 0.87359199 0.84105131 0.11389237 0.54443054 0.23529412
[727] 0.74843554 0.85607009 0.11389237 0.38297872 0.38297872 0.76720901
[733] 0.71839800 0.71839800 0.77972466 0.48310388 0.34292866 0.71839800
[739] 0.48310388 0.34292866 0.31163955 0.23529412 0.54443054 0.08260325
[745] 0.27033792 0.59449312 0.40801001 0.38297872 0.56821026 0.67334168
[751] 0.04130163 0.45181477 0.63204005 0.11389237 0.83354193 0.04130163
[757] 0.71839800 0.59449312 0.08260325 0.63204005 0.15769712 0.38297872
[763] 0.23529412 0.88485607 0.43178974 0.51939925 0.43178974 0.91739675
[769] 0.88485607 0.74843554 0.92866083 0.64705882 0.04130163 0.86608260
[775] 0.20025031 0.89111389 0.38297872 0.59449312 0.86608260 0.08260325
[781] 0.96745932 0.34292866 0.15769712 0.08260325 0.08260325 0.23529412
[787] 0.64705882 0.91989987 0.58072591 0.38297872 0.38297872 0.11389237
[793] 0.31163955 0.51939925 0.20025031 0.45181477 0.08260325 0.38297872
[799] 0.91239049

ACSWR documentation built on May 29, 2017, 8:41 p.m.