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Process MUAC data

Source: R/process_muac.R
process_muac.Rd

Process MUAC data

Usage

process_muac_data(
  df,
  age = "age",
  sex = "sex",
  sex_recode = NULL,
  muac = "muac",
  muac_units = c("mm", "cm"),
  oedema = "oedema",
  oedema_recode = NULL
)

Arguments

df

A data.frame with information on age, sex, oedema status, and MUAC of each child

age

A character value for name of variable in df for age of child. The age of child should be in months.

sex

A character value for name of variable in df for sex of child. The expected values for sex is 1 = males; 2 = females. If data values are different, use sex_recode to map out the values to what is required.

sex_recode

A vector of values with length of 2 with the first element for the value signifying males and second element for the value signifying females in the dataset. For example, if "m" is the value for males and "f" is the value for females, then specify c("m", "f). If set to NULL (default), then the values c(1, 2) are used.

muac

A character value for name of variable in df for MUAC measurement of child. The expected values for MUAC are in millimetres. If units are different, use muac_units to specify which units are used.

muac_units

A character value for units used for MUAC measurement. Currently accepts either "mm" for millimetres (default) or "cm" for centimetres.

oedema

A character value for name of variable in df for oedema status of child. The expected values for oedema is 1 = for presence of oedema and 2 for no oedema. If data values are different, use oedema_recode to map out the values to what is required. If dataset does not have oedema values, set this to NULL.

oedema_recode

A vector of values with length of 2 with the first element for the value signifying presence of oedema and second element for the value signifying no oedema in the dataset. For example, if "y" is the value for presence of oedema and "n" is the value for no oedema, then specify c("y", "n). If set to NULL (default), then the values c(1, 0) are used.

Value

An appropriately structured data.frame that can be passed on to other functions

Examples

process_muac_data(muac_data)
#> # A tibble: 435 × 6
#>    state_name district_name   age   sex  muac oedema
#>    <chr>      <chr>         <int> <int> <dbl>  <int>
#>  1 State A    District A        7     1  13.3      2
#>  2 State A    District A       42     1  13.3      2
#>  3 State A    District A       60     1  14.6      2
#>  4 State A    District A       60     2  15.6      2
#>  5 State A    District A       48     1  13.3      2
#>  6 State A    District A       60     2  14.3      2
#>  7 State A    District A       18     1  12.4      2
#>  8 State A    District A       48     1  14.2      2
#>  9 State A    District A       60     2  12.8      2
#> 10 State A    District A       36     1  13.4      2
#> # ℹ 425 more rows