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().
Examples
calculate_performance(df = monitoring)
#> # A tibble: 8,234 × 20
#> State Locality `Beginning Of Month` `New Admissions` Male Female Cured Death
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Gaze… El Qura… 16 16 8 8 23 0
#> 2 Gaze… El Qura… 56 24 11 13 0 0
#> 3 Gaze… El Qura… 80 41 16 25 22 0
#> 4 Gaze… El Qura… 81 43 21 22 29 0
#> 5 Gaze… El Qura… 93 51 31 30 36 2
#> 6 Gaze… El Qura… 103 59 34 25 3 0
#> 7 Gaze… El Qura… 163 69 34 35 8 0
#> 8 Gaze… El Qura… 104 108 56 40 6 0
#> 9 Gaze… El Qura… 275 123 61 62 111 0
#> 10 Gaze… El Qura… 204 81 39 40 52 0
#> # ℹ 8,224 more rows
#> # ℹ 12 more variables: Default <dbl>, `Non-Responder` <dbl>,
#> # `Total Discharge` <dbl>, `Rutf Consumed` <dbl>, Screening <dbl>,
#> # Sites <lgl>, Month <chr>, Year <chr>, cured_prop <dbl>, dead_prop <dbl>,
#> # defaulter_prop <dbl>, nr_prop <dbl>
calculate_cured(cured = 10, exit = 50)
#> [1] 0.2
calculate_dead(dead = 10, exit = 50)
#> [1] 0.2
calculate_default(defaulter = 10, exit = 50)
#> [1] 0.2
calculate_no_response(nr = 10, exit = 50)
#> [1] 0.2