| EEAaq_summary {EEAaq} | R Documentation |
Generate an EEAaq_df data summary
Description
This function, applied to an EEAaq_df or EEAaq_df_sfc class object, produces a list of data frames,
containing relevant information about the data, such as descriptive statistics, missing values statistics,
gap length and correlation.
Usage
EEAaq_summary(data = NULL, verbose = TRUE)
Arguments
data |
an |
verbose |
logic value (T or F). If |
Value
The function EEAaq_summary computes and return a list of summary statistics of the dataset given in
data. In particular the elements of the list are:
Summaryglobal missing count, missing rate, negative count, minimum, maximum, mean and standard deviation, organized by pollutant.Summary_byStatlist of data frames, one for each different station, containing the descriptive statistics (missing count, missing rate, negative count, minimum, maximum, mean and standard deviation), organized by station.gap_lengthone data frame for each pollutant, containing the gap length organized by station.Corr_Matrixifdatacontains more than one pollutant, the correlation matrix between pollutans is provided, organised by station.
Examples
data <- EEAaq_get_data(zone_name = "Milano", NUTS_level = "LAU",
pollutant = "PM10", from = 2023, to = 2023, ID = FALSE, verbose = TRUE)
EEAaq_summary(data)