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#' @title Summarize bdl data frame
#' @description Prints brief summary with basic statistical functions like mean, standard deviation, variance,
#' min and max for bdl data frame.
#' @param object bdl data frame to summarise
#' @param ... other arguments ignored (for compatibility with generic)
#' @examples
#' # df <- get_data_by_variable(varId = "3643")
#' # summary(df)
#' @export
summary.bdl <- function(object, ...){
na.rm <- FALSE
if ("id" %in% colnames(object) && "val" %in% colnames(object)) {
dfSum <- object %>%
dplyr::group_by_(~id) %>%
dplyr::mutate(mean = mean(val, na.rm = na.rm),
std = stats::sd(val, na.rm = na.rm),
min = min(val, na.rm = na.rm),
max = max(val, na.rm = na.rm),
variance = stats::var(val, na.rm = na.rm)) %>%
dplyr::select(-dplyr::one_of(c("year", "attrId", "val"))) %>%
dplyr::distinct_(~id, .keep_all = TRUE)
dfSum
} else {
stop("Wrong data frame column names. Summary.bdl is available only for single variable bdl data frames.")
}
}
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