Converts Inf, -Inf, and NaN to NA (via tsl_Inf_to_NA() and tsl_NaN_to_NA()), and counts the total number of NA cases in each time series.
See also
Other tsl_management:
tsl_burst(),
tsl_colnames_clean(),
tsl_colnames_get(),
tsl_colnames_prefix(),
tsl_colnames_set(),
tsl_colnames_suffix(),
tsl_diagnose(),
tsl_handle_NA(),
tsl_join(),
tsl_names_clean(),
tsl_names_get(),
tsl_names_set(),
tsl_names_test(),
tsl_ncol(),
tsl_nrow(),
tsl_repair(),
tsl_subset(),
tsl_time(),
tsl_time_class_set(),
tsl_to_df()
Examples
#tsl with no NA cases
tsl <- tsl_simulate()
tsl_count_NA(tsl = tsl)
#> $A
#> [1] 0
#>
#> $B
#> [1] 0
#>
#tsl with NA cases
tsl <- tsl_simulate(
na_fraction = 0.3
)
tsl_count_NA(tsl = tsl)
#> $A
#> [1] 144
#>
#> $B
#> [1] 120
#>
#tsl with variety of empty cases
tsl <- tsl_simulate()
tsl[[1]][1, 1] <- Inf
tsl[[1]][2, 1] <- -Inf
tsl[[1]][3, 1] <- NaN
tsl[[1]][4, 1] <- NaN
tsl_count_NA(tsl = tsl)
#> $A
#> [1] 4
#>
#> $B
#> [1] 0
#>