
Calculate top and bottom percentiles of selected variables
percdata.RdComputes percentiles (quantiles) for selected numeric columns. By default, six bottom percentiles (0th to 0.5th) and six top percentiles (99.5th to 100th) are calculated. The function supports grouping.
Usage
percdata(data, cols = NULL, group = NULL, diff = 0.1,
part = "both", na.rm = TRUE, verbose = FALSE)Arguments
- data
A data frame, matrix, or numeric vector. If a vector, a data frame is created internally.
- cols
Column indices or names of numeric variables. If
NULL, all numeric columns are used.- group
Optional grouping column index or name. If provided, percentiles are computed separately for each group.
- diff
Common difference between quantile probabilities. Default is 0.1.
- part
Which parts to return:
"both"(default),"bottom", or"top".- na.rm
Logical; if
TRUE, NA values are removed before quantile computation.- verbose
Logical; if
TRUE, prints timing message.
Details
The function uses a C++ quantile implementation to speed up calculations. For grouped data, percentiles are computed within each group.
Value
A data frame with rows corresponding to percentiles and columns corresponding to variables (plus a percentile column). If grouped, an additional grouping column is present.
References
1. Example data is from https://smear.avaa.csc.fi/download. It includes particle number concentrations in SMEAR I Varrio forest.
Examples
percdata(data, cols = 27:61, group = 4)
#> monthyear percentile 12.6 14.1 15.8 17.8
#> 1 January 2020 0th 0.5813700 0.1296700 1.947100e-01 0.423960
#> 2 January 2020 0.1th 0.9731696 0.3773019 5.137114e-01 1.399173
#> 3 January 2020 0.2th 1.0735254 0.3842359 1.142671e+00 2.517086
#> 4 January 2020 0.3th 1.1556193 0.3919955 1.544461e+00 2.660680
#> 5 January 2020 0.4th 1.2598244 0.3935166 1.648747e+00 3.002321
#> 6 January 2020 0.5th 1.3013175 0.3986762 1.810594e+00 3.239028
#> 7 January 2020 99.5th 2602.9445000 2923.4314500 3.808212e+03 4075.675600
#> 8 January 2020 99.6th 3073.6192400 3477.6802800 4.270320e+03 4449.078800
#> 9 January 2020 99.7th 3944.8377000 4196.9670000 4.483078e+03 5028.609800
#> 10 January 2020 99.8th 4409.5662800 5052.9833800 4.811013e+03 5363.089920
#> 11 January 2020 99.9th 4781.0301100 5305.0396600 5.002688e+03 5626.651640
#> 12 January 2020 100th 5503.3500000 6160.9600000 6.004740e+03 5831.840000
#> 13 July 2020 0th 11.8262000 2.0475000 6.750700e+00 3.293100
#> 14 July 2020 0.1th 12.9684379 2.4309251 6.922704e+00 4.508544
#> 15 July 2020 0.2th 13.2952200 2.5321232 6.985029e+00 5.886904
#> 16 July 2020 0.3th 13.4089108 2.5403976 7.054564e+00 6.322416
#> 17 July 2020 0.4th 13.5705744 2.5721388 7.098881e+00 6.477312
#> 18 July 2020 0.5th 13.6640490 2.5922625 7.129718e+00 6.552560
#> 19 July 2020 99.5th 2105.3725500 2245.0300500 2.349545e+03 2885.952000
#> 20 July 2020 99.6th 2508.6637600 2613.7980800 2.506400e+03 2921.647200
#> 21 July 2020 99.7th 2882.3459300 3190.0156400 2.878494e+03 3108.658400
#> 22 July 2020 99.8th 3098.2619800 3984.7380000 3.968058e+03 4132.166800
#> 23 July 2020 99.9th 3929.7734300 4863.7178800 5.810608e+03 5338.781600
#> 24 July 2020 100th 5249.1600000 8045.6300000 1.349270e+04 14810.800000
#> 20 22.4 25.1 28.2 31.6
#> 1 0.579750 6.033400e-01 3.115900e+00 6.319500e-01 1.274100
#> 2 3.058728 1.813931e+00 3.779186e+00 3.580320e+00 2.671941
#> 3 3.078039 2.247938e+00 4.451682e+00 4.020349e+00 4.598199
#> 4 3.088272 2.506228e+00 4.700876e+00 5.086797e+00 5.783468
#> 5 3.094701 2.997551e+00 5.184092e+00 5.810790e+00 6.656138
#> 6 3.251417 3.165008e+00 5.412850e+00 6.578815e+00 7.576954
#> 7 4000.517650 3.820634e+03 3.860975e+03 4.159987e+03 4242.707650
#> 8 4532.370880 4.530844e+03 4.629081e+03 4.311479e+03 4636.971880
#> 9 5189.591490 5.008937e+03 5.019287e+03 5.015318e+03 4863.369950
#> 10 5627.388040 5.713701e+03 5.154568e+03 5.551622e+03 5285.256560
#> 11 5996.901580 5.914698e+03 5.677392e+03 5.818364e+03 5479.359390
#> 12 6826.330000 6.585170e+03 6.023560e+03 6.212310e+03 5794.990000
#> 13 1.265700 2.162600e-03 6.796100e-03 6.789900e-04 0.381370
#> 14 1.365212 1.439530e-01 5.494728e-01 5.508735e-02 2.331466
#> 15 1.382112 2.962380e-01 8.115385e-01 1.267413e-01 3.141514
#> 16 1.388744 4.092315e-01 9.851681e-01 2.374430e-01 5.338883
#> 17 1.453000 4.791020e-01 1.160726e+00 2.811562e-01 6.804090
#> 18 1.587520 5.257850e-01 1.339875e+00 3.520424e-01 7.254684
#> 19 3788.796000 5.482588e+03 7.228805e+03 9.671218e+03 12147.576000
#> 20 3850.924800 5.569278e+03 7.499327e+03 1.017185e+04 14007.512800
#> 21 4026.228800 5.688722e+03 7.831517e+03 1.059906e+04 14473.524000
#> 22 4266.706400 6.090214e+03 8.229373e+03 1.227316e+04 17856.259200
#> 23 4849.946000 6.601651e+03 9.007562e+03 1.357279e+04 19510.019200
#> 24 13567.700000 1.017220e+04 1.040710e+04 1.550730e+04 21331.900000
#> 35.5 39.8 44.7 50.1 56.2 63.1
#> 1 0.773380 2.175000e-01 4.183800e-01 0.584570 0.615760 1.218700
#> 2 1.840458 9.404501e-01 9.770996e-01 1.186090 2.639751 2.477069
#> 3 3.288960 2.249167e+00 1.823927e+00 1.854557 3.088332 2.981252
#> 4 4.095020 2.443529e+00 2.118904e+00 2.915105 3.415719 3.623538
#> 5 4.893961 2.769498e+00 2.216544e+00 3.533780 3.793792 4.324422
#> 6 5.669837 2.988392e+00 2.435246e+00 4.033750 4.281912 4.693600
#> 7 4302.267400 4.122704e+03 3.411845e+03 2435.662800 1742.270450 1295.378000
#> 8 4388.303920 4.269978e+03 3.452919e+03 2526.077360 1795.814840 1304.987760
#> 9 4614.581300 4.361522e+03 3.653293e+03 2698.585520 1821.374720 1331.182440
#> 10 4815.526900 4.437877e+03 3.739438e+03 2727.046560 1878.022960 1370.103680
#> 11 5079.883980 4.582301e+03 3.917464e+03 2765.400400 1971.935610 1417.817480
#> 12 5200.210000 4.846260e+03 4.223170e+03 2938.220000 2024.210000 1860.370000
#> 13 4.563900 9.160500e+00 4.885800e+00 1.675500 2.747200 2.172500
#> 14 7.739820 1.482423e+01 7.717584e+00 8.127478 5.313649 6.296639
#> 15 10.518474 1.776507e+01 1.128661e+01 18.484437 8.346424 7.713156
#> 16 11.349135 1.925168e+01 1.696655e+01 23.204950 12.585923 9.647326
#> 17 12.716060 2.138451e+01 1.965083e+01 29.466764 15.035204 10.970846
#> 18 13.985473 2.316073e+01 2.203605e+01 36.744743 19.543855 11.545495
#> 19 13292.430000 1.193698e+04 8.734542e+03 7008.374750 6718.545500 6446.066750
#> 20 15767.704000 1.434301e+04 9.122119e+03 7054.060000 6877.007800 6571.815400
#> 21 17272.018500 1.654432e+04 9.271326e+03 7344.534050 7048.194000 6707.778000
#> 22 19960.530000 1.793911e+04 9.930308e+03 7741.280900 7114.613300 6840.519300
#> 23 21873.128500 1.897688e+04 1.064831e+04 7932.517500 7403.074750 7425.083000
#> 24 22913.800000 2.010650e+04 1.155670e+04 8827.150000 8190.760000 7693.960000
#> 70.8 79.4 89.1 100 112 126
#> 1 0.3366100 1.150900 0.390550 0.312650 0.0317640 1.411000
#> 2 0.4673202 1.946156 3.053302 4.626649 0.3957791 2.602403
#> 3 0.7324589 3.286164 4.472222 5.226190 1.1789512 3.365427
#> 4 1.1060440 3.647060 5.178674 5.892025 2.2934672 4.295703
#> 5 1.5405040 3.987097 5.913300 6.393432 3.5735864 5.507584
#> 6 2.6438000 4.265163 6.690819 7.338741 3.9658860 6.281224
#> 7 1046.0318000 925.535770 819.292555 726.744285 803.3186800 869.060360
#> 8 1060.8668800 937.343104 824.837216 731.152588 821.3063280 880.257920
#> 9 1079.2521200 946.954593 838.649848 762.867512 840.0942520 920.579500
#> 10 1102.3267200 990.295770 875.410516 779.262952 890.5833680 940.657792
#> 11 1171.1169600 1007.481050 903.757538 818.333915 929.5906120 981.289272
#> 12 1754.6300000 1554.980000 1359.670000 1176.040000 997.4410000 1021.980000
#> 13 1.6070000 1.926700 3.144600 2.555700 0.2276800 1.436200
#> 14 5.5990280 3.859487 7.808844 8.787831 7.2553945 14.923652
#> 15 7.4463670 7.164048 9.272181 10.665525 11.5729220 17.919325
#> 16 8.2414545 9.569272 10.897194 13.167952 16.6854225 23.005380
#> 17 9.1168860 10.953648 14.581898 16.308518 20.1472080 25.562138
#> 18 10.4619100 12.741363 15.976550 18.882040 21.1072900 28.673793
#> 19 6474.9500000 6070.699750 5039.361000 3895.763750 3060.9150000 2832.003500
#> 20 6498.3438000 6126.601400 5443.494000 4326.653800 3150.5448000 2922.692600
#> 21 6581.8089000 6170.346900 5666.271150 4568.493500 3401.1222000 3090.332500
#> 22 6761.3825000 6290.642500 5846.041600 4704.728300 3562.9050000 3199.925900
#> 23 6883.0867500 6479.954050 5968.483600 5134.971900 3782.3650000 3422.721100
#> 24 7530.5100000 6992.510000 6243.540000 5641.850000 4357.3300000 3781.660000
#> 141 158 178 200 224 251
#> 1 0.022187 0.029489 0.0248690 0.2897900 0.0891970 0.0014289
#> 2 2.131336 1.358327 0.3637610 0.5829763 0.3921255 0.3581667
#> 3 2.454045 1.966266 0.7680199 0.7738402 0.6634913 0.4358510
#> 4 3.147785 2.026963 0.9808828 0.8009678 0.9406741 0.5016253
#> 5 3.559512 2.401870 1.3191248 0.9676897 1.0384544 0.5771078
#> 6 4.122164 3.171744 1.7835700 1.1925190 1.3361975 0.6156468
#> 7 779.542000 652.207720 553.0181500 436.3782100 392.0030800 346.9456000
#> 8 801.133328 658.857216 559.4480680 450.4677440 406.7928200 360.9487760
#> 9 815.965716 675.672524 571.0672940 457.1209170 411.9981240 369.5710240
#> 10 855.612528 689.128160 593.5091900 480.2417440 414.9448380 378.5100320
#> 11 863.193196 706.280100 618.0909530 517.9546250 422.4211650 390.5838520
#> 12 908.977000 794.017000 696.1690000 581.9040000 448.8350000 404.1060000
#> 13 14.653100 18.182900 9.6912000 15.8179000 20.0722000 24.1496000
#> 14 19.169241 22.906707 27.9056260 25.4923735 29.6621510 26.3634405
#> 15 23.494429 28.286943 32.9458360 33.4341400 37.6391900 28.4802190
#> 16 25.676747 31.936276 35.8519080 35.5647385 41.1718680 30.3734060
#> 17 28.933668 33.520122 39.0399120 38.7020200 44.3862120 31.4313920
#> 18 33.283987 37.394618 42.6984100 42.5349800 46.0901800 32.9821900
#> 19 2940.098250 2838.088250 2637.6720000 2458.3922500 2132.7910000 1767.0797500
#> 20 3006.796600 2860.716800 2681.4496000 2467.7806000 2143.1688000 1815.2880000
#> 21 3043.724800 2912.755900 2793.9815500 2502.8626000 2181.4836000 1863.0197000
#> 22 3053.346700 2953.397900 2870.7367000 2547.5317000 2225.5923000 1907.3715000
#> 23 3103.473850 3005.560600 2935.3779500 2613.7576500 2332.7168500 1990.0895500
#> 24 3196.010000 3106.360000 3164.9600000 2745.0300000 2524.2100000 2139.0500000
#> 282 316 355 398 447
#> 1 3.215000e-04 4.639700e-04 6.957900e-04 6.367000e-04 4.081000e-04
#> 2 5.543267e-02 4.816278e-02 2.436725e-03 1.660539e-03 1.026913e-03
#> 3 9.314427e-02 9.726495e-02 1.154537e-02 2.100684e-03 1.222799e-03
#> 4 1.242976e-01 1.134549e-01 1.181049e-01 2.912802e-03 1.632752e-03
#> 5 1.338150e-01 1.188675e-01 2.281830e-01 4.589069e-03 2.205715e-03
#> 6 1.345529e-01 1.217980e-01 2.570013e-01 6.617482e-03 2.973534e-03
#> 7 3.196885e+02 2.855157e+02 2.204344e+02 1.610387e+02 1.075239e+02
#> 8 3.369965e+02 3.016844e+02 2.370329e+02 1.673598e+02 1.100714e+02
#> 9 3.491127e+02 3.190609e+02 2.472201e+02 1.794253e+02 1.137951e+02
#> 10 3.798925e+02 3.276457e+02 2.757663e+02 1.985853e+02 1.192607e+02
#> 11 3.963814e+02 3.488295e+02 3.009558e+02 2.205020e+02 1.311714e+02
#> 12 4.136020e+02 4.145390e+02 7.921210e+02 7.681630e+02 4.520760e+02
#> 13 6.175300e+00 4.474400e-01 2.475500e-01 4.144700e-02 1.523400e-02
#> 14 1.029674e+01 3.077696e+00 1.529187e+00 1.379266e-01 9.182338e-02
#> 15 1.163456e+01 3.303168e+00 2.678282e+00 3.884310e-01 1.450236e-01
#> 16 1.336715e+01 4.951789e+00 2.903159e+00 4.800226e-01 1.730694e-01
#> 17 1.402185e+01 5.356438e+00 3.015076e+00 5.272132e-01 1.996771e-01
#> 18 1.463693e+01 6.012842e+00 3.227368e+00 6.193335e-01 2.129372e-01
#> 19 1.414091e+03 9.619770e+02 5.757286e+02 3.160433e+02 2.023246e+02
#> 20 1.433331e+03 1.006118e+03 6.175976e+02 3.388016e+02 2.286422e+02
#> 21 1.468115e+03 1.065908e+03 6.511564e+02 3.491350e+02 2.532955e+02
#> 22 1.516621e+03 1.104809e+03 6.796675e+02 3.724134e+02 2.644968e+02
#> 23 1.564348e+03 1.160124e+03 7.444857e+02 4.013239e+02 2.758664e+02
#> 24 1.796820e+03 1.349350e+03 8.669500e+02 4.758690e+02 3.025940e+02
#> 501 562 631
#> 1 1.212900e-04 3.504400e-04 2.724100e-04
#> 2 3.247081e-04 1.326887e-03 8.432254e-04
#> 3 5.909444e-04 1.825000e-03 1.403712e-03
#> 4 8.719852e-04 2.073663e-03 1.757311e-03
#> 5 1.225759e-03 2.250000e-03 2.148654e-03
#> 6 4.443800e-03 2.751588e-03 2.300956e-03
#> 7 6.408854e+01 4.102454e+01 2.821622e+01
#> 8 6.503528e+01 4.132040e+01 2.845588e+01
#> 9 6.599762e+01 4.286420e+01 3.002081e+01
#> 10 6.733364e+01 4.540665e+01 3.244202e+01
#> 11 7.212599e+01 5.085860e+01 3.636245e+01
#> 12 8.207840e+01 6.711610e+01 5.420330e+01
#> 13 1.030200e-04 7.869100e-03 1.562500e-04
#> 14 5.653414e-04 1.358419e-02 4.787944e-04
#> 15 1.167061e-03 2.498333e-02 1.683144e-03
#> 16 1.405114e-03 3.744886e-02 2.441593e-03
#> 17 1.521186e-03 4.854680e-02 2.730011e-03
#> 18 1.730404e-03 6.192618e-02 4.007674e-03
#> 19 1.134501e+02 6.103744e+01 3.200716e+01
#> 20 1.378699e+02 7.090755e+01 3.888133e+01
#> 21 1.652772e+02 9.731800e+01 5.114516e+01
#> 22 1.963119e+02 1.142907e+02 5.413694e+01
#> 23 2.368159e+02 1.286613e+02 6.007606e+01
#> 24 2.831720e+02 1.683340e+02 7.820520e+01