create_weighted_anthro: Function to create weighted anthropometric indicator results...

In validmeasures/myanmarMCCTdata: Myanmar Mother and Child Cash Transfer (MCCT) Programme Evaluation Data Handler

Description

Function to create weighted anthropometric indicator results tables

Usage

create_weighted_anthro(df, sex = FALSE, vars, labs, state, digits = NULL)

Arguments

df	A recoded data.frame of indicators
sex	Logical. Should results be disaggregated by sex? Default is FALSE.
vars	Variable names for anthropometric indicator/s to create a results table for
labs	Variable labels for anthropometric indicator/s to create a results table for
state	A character value for name of state to report results on. Choice between Kayah or Kayin.
digits	Integer value for number of digits to round off values. Default is NULL for no rounding off.

Value

A data.frame of anthropometric indicator results for each state in total and disaggregated by urban, rural and hard-to-reach areas

Examples

## Recode stunting indicators
canthro  <- recode_anthro(df = create_canthro(df = childAnthro, x = anthroDF))

create_weighted_anthro(df = canthro,
                       vars = c("haz", "global.haz", "moderate.haz", "severe.haz"),
                       labs = c("Mean height-for-age z-score",
                                "Global stunting/stuntedness",
                                "Moderate stunting/stuntedness",
                                "Severe stunting/stuntedness"),
                       state = "Kayah")

create_weighted_anthro(df = canthro, sex = TRUE,
                       vars = c("haz", "global.haz", "moderate.haz", "severe.haz"),
                       labs = c("Mean height-for-age z-score",
                                "Global stunting/stuntedness",
                                "Moderate stunting/stuntedness",
                                "Severe stunting/stuntedness"),
                       state = "Kayah")

validmeasures/myanmarMCCTdata documentation built on March 29, 2020, 10:27 p.m.