tsl_count_NA: Count NA Cases in Time Series Lists

In distantia: Advanced Toolset for Efficient Time Series Dissimilarity Analysis

Count NA Cases in Time Series Lists

Description

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.

Usage

tsl_count_NA(tsl = NULL)

Arguments

tsl	(required, list) Time series list. Default: NULL

Value

list

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_to_df()

Examples

#tsl with no NA cases
tsl <- tsl_simulate()

tsl_count_NA(tsl = tsl)

#tsl with NA cases
tsl <- tsl_simulate(
  na_fraction = 0.3
)

tsl_count_NA(tsl = tsl)

#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)

distantia documentation built on April 4, 2025, 5:42 a.m.