# r – Why quantile does not show different results?

I am trying to use this solution here

How to rank based on ecdf in r?

`````` dat[, .(quant = quants, val = ecdf(dist)(quantile(dist, quants))), by = rowval]
``````

This gives different results for each rowval

However, when i apply it to my data, I always got the same output

example:

``````     ecdf(gg)(quantile(gg, quants))
ecdf(ff)(quantile(ff, quants))
``````

Why I am getting the same for both ff and gg?

tt= structure(c(7.9, 36.1, 57.7, 199.4, 175.5, 107, 62.7, 142.1, 76.6, 196.9, 134.4, 80.4, 73, 49.2, 66.6, 196.5, 126.7, 43.9, 34.9, 26.8, 86.5, 188, 120.2, 79.5, 21.8, 25.2, 95.1, 222.7, 109.9, 44, 51.2, 46.4, 79.6, 143, 83.1, 114.5, 63.6, 54.9, 52.2, 139.6, 122.1, 147.5, 74, 167.6, 167.8, 208.3, 141.3, 56.1, 40, 10.8, 64.9, 96.6, 108.6, 46.3, 60.7, 152.7, 122.5, 167.8, 115, 60.8, 44.8, 66.1, 70, 154, 106.4, 96.2, 24.8, 69, 87.2, 277.4, 110, 29.3, 23, 16.4, 61.7, 122.2, 123.1, 50.7, 125.2, 65.1, 124.5, 222.5, 114, 42.7, 25.4, 46.5, 32.1, 178.6, 90.7, 92.1, 100.2, 196.5, 143.7, 170.7, 205.9, 112.3, 43.5, 51.2, 110.9, 107.3, 104.1, 95.3, 63.5, 95.9, 129.8, 146.9, 96.4, 79.3, 32.4, 48, 81.3, 147, 87.7, 59.4, 87.8, 49.6, 83.5, 230.8, 115.9, 98.9, 29.2, 23.4, 115, 108.2, 110.5, 75.5, 77.9, 83.7, 102.8, 94.7, 114.3, 90.5, 26.7, 26.6, 40.2, 87.1, 64.8, 49.5, 55.3, 74.1, 94.9, 76, 132.8, 81.2, 38.7, 42.1, 78.7, 132.3, 126.7, 43.3, 73.9, 81.5, 154.7, 128.3, 180.7, 85.9, 51.5, 53.3, 97.5, 131.4 , 103.3, 59.9, 82.1, 71.9, 71.2, 167.9, 163.8, 52.7, 18, 27.1, 83, 178.9, 106, 103.8, 108.1, 113.3, 96.3, 153.4, 116.9, 97.6, 46, 67.7, 109.1, 107, 120.5 , 107.8, 98.9, 114.3, 82.6, 181, 107.7, 63.2, 86.6, 26.9, 64.6, 133.3, 78.9, 117.2, 23.8, 21.8, 90.5, 98.9, 114.9, 26.3, 9.2, 42, 58.9, 138.7, 151.9, 72.1 , 122, 113.6, 145.1, 200.1, 155, 127.9, 54.6, 96.4, 76.3, 141.2, 81.3, 121.4, 53.7, 101.7, 186.4, 217.4, 170.6, 112.2, 44.6, 88.8, 99.3, 121.4, 141.2, 109.5, 117.9 , 97.5, 156.8, 149.2, 115.8, 72.4, 36.3, 32.5, 106.7, 123.4, 105.7, 82.8, 74.9, 33.5, 109.1, 178.6, 119.9, 115.5, 20.4, 13.9, 92.3, 186.9, 125.2, 127.4, 72.2, 74 , 109.1, 157.8, 90.3, 88.7, 7.6, 30.5, 74.7, 153.5, 66.4, 163.7, 47.5, 93, 102.5, 174.7, 174.8, 72.6, 32, 53.5, 36.8, 173.4, 102.7, 54, 78.6, 54.8, 107 , 185.2, 163.5, 82.4, 33.5, 46.5, 80.6, 116.7, 136.1, 73.7, 60.5, 120.2, 99.3, 223.4, 132.2, 104.1), names = c(“”, “”, “”, “”, “”” , “”, “”,””, “”, “”, “”, “”, “”, “”, “”, “”, “”, “”, “”, ” “,””,””,””,””,””,””,””, “”,””,””,””,””,””,””,””,””,””,””,””,””,”””,””,””,””,””,””,””,”” , “”, “”,””, “”, “”, “”, “”, “”, “”, “”, “”, “”, “”, “”, ” “,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,”””,”, “”,””,””,””,””,””,””,””,””,””,””,””,””,”””,””,””,””,””,””,””,”” , “”, “”,””, “”, “”, “”, “”, “”, “”, “”, “”, “”, “”, “”, ” “,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,”””,”, “”,””,””,””,””,””,””,””,””,””,””,””,””,”””,””,””,””,””,””,””,”” , “”, “”,””, “”, “”, “”, “”, “”, “”, “”, “”, “”, “”, “”, ” “,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,”””,”, “”,””,””,””,””,””,””,””,””,””,””,””,””,”””,””,””,””,””,””,””,”” , “”, “”,””, “”, “”, “”, “”, “”, “”, “”, “”, “”, “”, “”, ” “,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,”””,”, “”,””,””,””,””,””,””,””,””,””,””,””,””,”””,””,””,””,””,””,””,”” , “”, “”,””, “”, “”, “”, “”, “”, “”, “”, “”, “”, “”, “”, ” “,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,””,”””,”, “”,””,””,””,””,””,””,””,””,””,””,””,””,”””,””,””,””,””,””,””,”” , “”, “”, “”, “”, “”, “”))

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74.9375, 159.8125, 132.1875, 158.3125, 119.5625, 78.25, 106.1875,
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``````