mean_with_confints: Weighted means with confidence intervals
In mabafaba/hypegrammaR: A grammar of hypothesis test driven analysis

Description Usage Arguments Details Value

Weighted means with confidence intervals

1 2	mean_with_confints(dependent.var, independent.var = NULL, design, confidence_level = 0.95)

`dependent.var`	string with the column name in 'data' of the dependent variable. Should be a numerical variable.
`independent.var`	should be null ! For other functions: string with the column name in 'data' of the independent variable
`design`	the svy design object created using map_to_design or directly with svydesign
`confidence_level`	the confidence level to be used for confidence intervals (default: 0.95)

This function takes the design object and the name of your dependent variable when the latter is a numerical. It calculates the weighted mean for your variable.

A table in long format of the results, with the column names dependent.var, dependent.var.value (=NA), independent.var (= NA), independent.var.value (= NA), numbers (= mean), se, min and max.

mabafaba/hypegrammaR documentation built on Oct. 2, 2019, 11:33 a.m.