Impute Temperatures
impute_temp.RdImpute Temperatures
Arguments
- w
Weather data of class
epiphy.weather, an output fromepiphytoolR::format_weather()- rolling_window
integer, number of hours used to determine the rolling window
Value
Weather data of class epiphy.weather, See epiphytoolR::format_weather()
Details
Impute missing temperatures using a rolling impute fill function on a epiphy.weather
class data.table. epiphy.weather class is created from epiphytoolR::format_weather()
Examples
set.seed(111)
weather[round(rnorm(50,
mean = nrow(weather)/2,
sd = nrow(weather)/10)),
temp := NA_real_]
#> Index: <station>
#> times temp rh rain ws wd wd_sd lon
#> <POSc> <num> <num> <num> <num> <num> <num> <num>
#> 1: 2020-04-13 01:00:00 11.710215 NaN 0.2 1.9 303 0.000000e+00 135.86
#> 2: 2020-04-13 02:00:00 8.591594 NaN 0.0 1.0 38 0.000000e+00 135.86
#> 3: 2020-04-13 03:00:00 5.029886 NaN 0.0 3.5 15 0.000000e+00 135.86
#> 4: 2020-04-13 04:00:00 7.329537 NaN 0.0 0.4 194 8.537737e-07 135.86
#> 5: 2020-04-13 05:00:00 4.867557 NaN 0.4 1.9 276 0.000000e+00 135.86
#> ---
#> 8782: 2020-10-12 21:00:00 14.505099 NaN 0.0 1.6 189 0.000000e+00 135.73
#> 8783: 2020-10-12 22:00:00 16.143942 NaN 0.0 1.2 163 0.000000e+00 135.73
#> 8784: 2020-10-12 23:00:00 10.410922 NaN 0.0 3.4 137 0.000000e+00 135.73
#> 8785: 2020-10-13 00:00:00 7.722190 NaN 0.0 3.3 117 0.000000e+00 135.73
#> 8786: 2020-10-13 01:00:00 5.800267 NaN 0.0 3.6 112 0.000000e+00 135.73
#> lat station YYYY MM DD hh mm
#> <num> <char> <num> <num> <int> <int> <num>
#> 1: -33.26 naddacs 2020 4 13 1 0
#> 2: -33.26 naddacs 2020 4 13 2 0
#> 3: -33.26 naddacs 2020 4 13 3 0
#> 4: -33.26 naddacs 2020 4 13 4 0
#> 5: -33.26 naddacs 2020 4 13 5 0
#> ---
#> 8782: -33.13 scaddan 2020 10 12 21 0
#> 8783: -33.13 scaddan 2020 10 12 22 0
#> 8784: -33.13 scaddan 2020 10 12 23 0
#> 8785: -33.13 scaddan 2020 10 13 0 0
#> 8786: -33.13 scaddan 2020 10 13 1 0
w2 <- impute_temp(weather)