summary_sd: Standard Deviation function

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

Description

Standard Deviation function

Usage

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

Arguments

x	A numeric vector.
na.rm	A vector of strings that defines the type of missing value criteria e.g "n", "con", "prop", "FUN".
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

Returns the standard deviation value.

Author(s)

Shadrack Kibet

Examples

x <- c(1:10, NA, NA, NA, 2, 5, 6, 7)
summary_sd(x, na.rm = TRUE, na_type = "n", na_max_n = 2)
summary_sd(x, na.rm = TRUE, na_type = "n_non_miss", na_min_n = 2)
summary_sd(x, na.rm = TRUE, na_type = "con", na_consecutive_n = 2)

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