summary_sum: Sum function

In shadrackkibet/summaryR: Produces robust and consistent Summaries, provide flexibility in the definition of missing values for summaries

Description

This function returns the total of a numeric vector, it allows you to specify missing value criteria with their respective thresholds.

Usage

summary_sum(x, na.rm = FALSE, na_type = "", ...)

Arguments

x	A numeric vector.
na.rm	A logical value indicating whether missing values should be stripped before the computation proceeds.
na_type	A vector of strings that defines the type of missing value criteria e.g "n", "con", "prop", "FUN".
...	Additional parameters that could be passed internally. for example 'na_consecutive_n = 3' to define the maximum allowed number of consecutive missing values. Other parameters include "na_max_n", "na_min_n", "n_non_miss", "na_max_prop" for maximum, minimum and proportion of missing values.

Value

The total of the numeric vector.

Author(s)

Shadrack Kibet

Examples

x <- c(1:5, NA, NA, NA, 6:10)
summary_sum(x, na.rm = TRUE, na_type = "n", na_max_n = 2)
summary_sum(x, na.rm = TRUE, na_type = "n_non_miss", na_min_n = 2)
summary_sum(x, na.rm = TRUE, na_type = "con", na_consecutive_n = 2)

shadrackkibet/summaryR documentation built on Jan. 2, 2020, 12:54 a.m.