Dear all, I need to plot an cumulative distribution plot of a variable and then to fit a distribution to that, probably a weibull or lognormal.
I have plotted the ecdf as > plot(ecdf(x)) but I haven't managed to fit the distribution. I have as well attached the data. I would appreciate if you could help me on that. Thank you. Kind regards Maria
NOECCu 67.88904443 150.1397457 186.4661306 125.4586537 164.6450167 82.26572728 46.12957405 139.3670831 77.3140337 73.71616087 89.24381267 55.49698407 161.4744795 110.9611291 103.3427988 120.978441 121.3764833 100.1028412 145.5605989 142.3290787 145.3679277 93.62492361 55.48686698 128.11105 69.65897422 77.74185999 115.8001364 50.45232492 90.35071838 132.9893917 77.72242849 64.28160263 54.01295646 83.71891269 134.0958513 64.60377903 48.18032813 130.486115 56.73379201 52.23087454 50.33847793 54.88254634 109.1721021 48.20831769 87.10977697 47.02111749 63.29204939 48.15737916 59.51869418 63.70426227 83.97669506 93.56957986 94.13697821 49.81656675 41.49804514 51.05645798 61.76354398 60.6012629 54.42093914 93.51486665 60.54396105 48.85428234 166.7654584 146.810965 80.95967487 167.2626315 59.47330368 72.86066214 116.4378185 55.64725599 121.2565064 71.47595431 133.7136451 73.82132992 137.8096239 49.83650594 81.08199187 89.36373311 47.72963718 49.02577131 54.0245052 47.18943578 106.7524366 92.86330941 107.7602873 80.46842086 203.1770731 63.47382772 106.0130281 90.67128789 85.91406122 85.65280069 129.637575 81.89671307 115.5356497 65.53656745 129.3789983 83.07309212 95.3862417 47.64942729 44.58198126 65.91324525 85.98441643 173.7522613 68.43518477 62.19982961 60.48931609 79.84400257 196.0585861 79.15253575 198.4031949 188.8371774 67.2503906 76.7620257 154.1797827 84.26522759 70.97081638 56.37466386 129.0594303 114.5855536 73.67967762 536.9946813 78.95253975 71.19112816 51.24938953 67.10699555 93.07971733 52.55033118 48.98038035 71.99776449 87.15210545 120.8311727 63.00287326 67.90228061 87.24346937 170.9653141 174.1646464 51.72208312 55.25671981 67.79918864 52.23148551 68.94684451 58.64711247
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