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Sets values outside user-specified physical limits to NA. This is commonly used to remove impossible measurements, such as relative humidity outside 0–100% or negative concentrations. The function supports per-column limits and grouping.

Usage

phys_filter(data, cols = NULL, min_val = NULL, max_val = NULL,
            group = NULL, date_col = NULL, verbose = FALSE)

Arguments

data

A data frame, matrix, or numeric vector.

cols

Column indices or names of numeric variables to filter. If NULL, all numeric columns are used.

min_val

Lower limit(s). If a single value is given, it is applied to all selected columns. Otherwise, provide a vector with length equal to the number of selected columns.

max_val

Upper limit(s). Same behavior as min_val.

group

Optional grouping column (currently not used but reserved for consistency).

date_col

Optional time column (not used).

verbose

Logical; if TRUE, prints progress message.

Details

Values strictly less than min_val or strictly greater than max_val are set to NA. If min_val or max_val is NULL, that bound is not checked.

Value

A data frame or vector with out-of-range values set to NA.

Examples

phys_filter(data[1:100, c(1, 4, 17:19)], cols = 3:5, min_val = 0, max_val = 1000)
#>                    date    monthyear     3.98     4.47     5.01
#> 1   2019-12-31 16:00:00 January 2020       NA       NA       NA
#> 2   2019-12-31 16:10:00 January 2020       NA       NA       NA
#> 3   2019-12-31 16:20:00 January 2020       NA       NA       NA
#> 4   2019-12-31 16:30:00 January 2020  42.9722  74.7785  24.8375
#> 5   2019-12-31 16:40:00 January 2020       NA   6.8651  44.7176
#> 6   2019-12-31 16:50:00 January 2020  61.2601       NA       NA
#> 7   2019-12-31 17:00:00 January 2020 115.8960       NA       NA
#> 8   2019-12-31 17:10:00 January 2020       NA       NA       NA
#> 9   2019-12-31 17:20:00 January 2020  61.2601       NA       NA
#> 10  2019-12-31 17:30:00 January 2020  60.9405   6.5912  42.9332
#> 11  2019-12-31 17:40:00 January 2020       NA       NA       NA
#> 12  2019-12-31 17:50:00 January 2020       NA       NA       NA
#> 13  2019-12-31 18:00:00 January 2020       NA  13.9498  90.8651
#> 14  2019-12-31 18:10:00 January 2020       NA       NA       NA
#> 15  2019-12-31 18:20:00 January 2020  61.2601       NA       NA
#> 16  2019-12-31 18:30:00 January 2020 130.9630 227.8960  75.6951
#> 17  2019-12-31 18:40:00 January 2020       NA       NA       NA
#> 18  2019-12-31 18:50:00 January 2020       NA       NA       NA
#> 19  2019-12-31 19:00:00 January 2020       NA       NA       NA
#> 20  2019-12-31 19:10:00 January 2020 133.5230 148.2000  49.2241
#> 21  2019-12-31 19:20:00 January 2020  61.2601       NA       NA
#> 22  2019-12-31 19:40:00 January 2020       NA       NA       NA
#> 23  2019-12-31 19:50:00 January 2020       NA       NA       NA
#> 24  2019-12-31 20:00:00 January 2020       NA       NA       NA
#> 25  2019-12-31 20:10:00 January 2020       NA       NA       NA
#> 26  2019-12-31 20:20:00 January 2020  42.8723  74.6047  24.7797
#> 27  2019-12-31 20:30:00 January 2020  42.9722  74.7785  24.8375
#> 28  2019-12-31 20:40:00 January 2020       NA       NA       NA
#> 29  2019-12-31 20:50:00 January 2020       NA   7.2200  47.0292
#> 30  2019-12-31 21:00:00 January 2020       NA       NA       NA
#> 31  2019-12-31 21:10:00 January 2020  96.5514  72.1565  23.9666
#> 32  2019-12-31 21:20:00 January 2020  39.7904  75.6110  64.4859
#> 33  2019-12-31 21:30:00 January 2020  96.7000  72.5003  24.0808
#> 34  2019-12-31 21:40:00 January 2020       NA       NA       NA
#> 35  2019-12-31 21:50:00 January 2020       NA       NA       NA
#> 36  2019-12-31 22:00:00 January 2020       NA       NA       NA
#> 37  2019-12-31 22:10:00 January 2020       NA       NA       NA
#> 38  2019-12-31 22:20:00 January 2020  45.0185  78.3394  26.0202
#> 39  2019-12-31 22:30:00 January 2020  61.2601       NA       NA
#> 40  2019-12-31 22:40:00 January 2020  82.6597 150.5060  91.1891
#> 41  2019-12-31 22:50:00 January 2020       NA       NA       NA
#> 42  2019-12-31 23:00:00 January 2020  61.2601       NA       NA
#> 43  2019-12-31 23:10:00 January 2020       NA       NA       NA
#> 44  2019-12-31 23:20:00 January 2020  57.7803       NA       NA
#> 45  2019-12-31 23:30:00 January 2020       NA       NA       NA
#> 46  2019-12-31 23:40:00 January 2020       NA       NA       NA
#> 47  2019-12-31 23:50:00 January 2020  61.2601       NA       NA
#> 48  2020-01-01 00:00:00 January 2020       NA       NA       NA
#> 49  2020-01-01 00:10:00 January 2020       NA       NA       NA
#> 50  2020-01-01 00:20:00 January 2020       NA       NA       NA
#> 51  2020-01-01 00:30:00 January 2020       NA       NA       NA
#> 52  2020-01-01 00:40:00 January 2020  35.9966  76.5024 111.1020
#> 53  2020-01-01 00:50:00 January 2020       NA       NA       NA
#> 54  2020-01-01 01:00:00 January 2020       NA       NA       NA
#> 55  2020-01-01 01:10:00 January 2020  61.2601       NA       NA
#> 56  2020-01-01 01:20:00 January 2020  94.8684  76.2325  25.3204
#> 57  2020-01-01 01:30:00 January 2020       NA   6.6070  43.0364
#> 58  2020-01-01 01:40:00 January 2020       NA   6.9749  45.4325
#> 59  2020-01-01 01:50:00 January 2020       NA       NA       NA
#> 60  2020-01-01 02:20:00 January 2020       NA       NA       NA
#> 61  2020-01-01 02:30:00 January 2020       NA       NA       NA
#> 62  2020-01-01 02:40:00 January 2020       NA       NA       NA
#> 63  2020-01-01 02:50:00 January 2020       NA       NA       NA
#> 64  2020-01-01 03:00:00 January 2020       NA       NA       NA
#> 65  2020-01-01 03:10:00 January 2020       NA       NA       NA
#> 66  2020-01-01 03:20:00 January 2020       NA       NA       NA
#> 67  2020-01-01 03:30:00 January 2020 122.5200       NA       NA
#> 68  2020-01-01 03:40:00 January 2020       NA       NA       NA
#> 69  2020-01-01 03:50:00 January 2020       NA       NA       NA
#> 70  2020-01-01 04:00:00 January 2020       NA       NA       NA
#> 71  2020-01-01 04:10:00 January 2020       NA       NA       NA
#> 72  2020-01-01 04:20:00 January 2020 129.7860 148.3430  49.2718
#> 73  2020-01-01 04:30:00 January 2020       NA       NA       NA
#> 74  2020-01-01 04:40:00 January 2020       NA       NA       NA
#> 75  2020-01-01 04:50:00 January 2020       NA       NA       NA
#> 76  2020-01-01 05:00:00 January 2020       NA       NA       NA
#> 77  2020-01-01 05:40:00 January 2020       NA       NA       NA
#> 78  2020-01-01 05:50:00 January 2020       NA       NA       NA
#> 79  2020-01-01 06:00:00 January 2020       NA       NA       NA
#> 80  2020-01-01 06:10:00 January 2020       NA       NA       NA
#> 81  2020-01-01 06:20:00 January 2020       NA   6.9749  45.4325
#> 82  2020-01-01 06:30:00 January 2020       NA       NA       NA
#> 83  2020-01-01 06:40:00 January 2020       NA  21.1830 137.9800
#> 84  2020-01-01 06:50:00 January 2020       NA  13.9498  90.8651
#> 85  2020-01-01 07:00:00 January 2020       NA       NA       NA
#> 86  2020-01-01 07:10:00 January 2020       NA       NA       NA
#> 87  2020-01-01 07:20:00 January 2020 122.5200       NA       NA
#> 88  2020-01-01 07:30:00 January 2020       NA   7.2332  47.1152
#> 89  2020-01-01 07:40:00 January 2020  42.9722  74.7785  24.8375
#> 90  2020-01-01 07:50:00 January 2020       NA       NA       NA
#> 91  2020-01-01 08:00:00 January 2020       NA       NA       NA
#> 92  2020-01-01 08:10:00 January 2020       NA       NA       NA
#> 93  2020-01-01 08:20:00 January 2020       NA       NA       NA
#> 94  2020-01-01 08:30:00 January 2020       NA       NA       NA
#> 95  2020-01-01 08:40:00 January 2020       NA       NA       NA
#> 96  2020-01-01 08:50:00 January 2020       NA       NA       NA
#> 97  2020-01-01 09:00:00 January 2020       NA       NA       NA
#> 98  2020-01-01 09:10:00 January 2020       NA       NA       NA
#> 99  2020-01-01 09:20:00 January 2020       NA       NA       NA
#> 100 2020-01-01 09:30:00 January 2020       NA       NA       NA