Clean and format the output table returned from the MUAC plausibility check for improved clarity and readability.

Clean and format the output table returned from the plausibility check of raw MUAC data for improved clarity and readability. It converts scientific notations to standard notations, round values and rename columns to meaningful names.

Usage

mw_neat_output_muac(df)

Arguments

df

An object of class data.frame returned by this package's plausibility checker for raw MUAC data, containing the summarized results to be formatted.

Value

A data.frame object of the same length and width as df, with column names and values formatted for clarity and readability.

Examples

## First wranlge MUAC data ----
df_muac <- mw_wrangle_muac(
  df = anthro.01,
  sex = sex,
  muac = muac,
  age = NULL,
  .recode_sex = TRUE,
  .recode_muac = FALSE,
  .to = "none"
)

## Then run the plausibility check ----
pl_muac <- mw_plausibility_check_muac(
  df = df_muac,
  flags = flag_muac,
  sex = sex,
  muac = muac
)

## Neat the output table ----

mw_neat_output_muac(df = pl_muac)
#> # A tibble: 1 × 9
#>   `Total children` `Flagged data (%)` `Class. of flagged data` `Sex ratio (p)`
#>              <int> <chr>              <fct>                    <chr>          
#> 1             1191 0.3%               Excellent                0.297          
#> # ℹ 5 more variables: `Class. of sex ratio` <chr>, `DPS(#)` <dbl>,
#> #   `Class. of DPS` <chr>, `Standard Dev* (#)` <dbl>,
#> #   `Class. of standard dev` <fct>