calculate_performance: Calculate CMAM performance indicators

In ernestguevarra/squeacr: Semi-Quantitative Evaluation of Access and Coverage (SQUEAC) Tools

Calculate CMAM performance indicators

Description

Calculate CMAM performance indicators

Usage

calculate_performance(df, vars = NULL, add = TRUE)

calculate_cured(cured, exit)

calculate_dead(dead, exit)

calculate_default(defaulter, exit)

calculate_no_response(nr, exit)

Arguments

df	A data.frame containing programme monitoring data on number of cured, deaths, defaulters and non-response. The required data.frame holds rows of data corresponding to total counts for each performance indicator (i.e., cured, dead, defaulter and non-responder) rather than rows of individual cases.
vars	A vector of variable names specifying cured, dead, defaulter and non-responder (in this specific order) values in df. If NULL (default), typical names used for these variables will be searched and used accordingly. If search doesn't yield matching variable names, the first 4 columns of the data.frame will be used.
add	Logical. Should result be added to df. Default is TRUE.
cured	Numeric value for total number of cured cases
exit	Numeric value for total number of programme exits
dead	Numeric value for total number of cases who died
defaulter	Numeric value for total number of cases who defaulted
nr	Numeric value for total number of cases who did not respond to

Value

A tibble of performance indicator results (for calculate_performance()) or a numeric value of specified CMAM performance indicator (for calculate_cured(), calculate_default(), calculate_dead()), and calculate_no_response().

Author(s)

Ernest Guevarra

Examples

calculate_performance(df = monitoring)
calculate_cured(cured = 10, exit = 50)
calculate_dead(dead = 10, exit = 50)
calculate_default(defaulter = 10, exit = 50)
calculate_no_response(nr = 10, exit = 50)

ernestguevarra/squeacr documentation built on Dec. 21, 2024, 12:05 p.m.