from_analysisplan_map_to_output: apply an analysis plan

In mabafaba/hypegrammaR: A grammar of hypothesis test driven analysis

Description

Takes all usual hypegrammaR input files plus an analysis plan and maps directly to an output document

Usage

from_analysisplan_map_to_output(data, analysisplan, weighting = NULL,
  cluster_variable_name = NULL, questionnaire = NULL,
  labeled = FALSE, verbose = TRUE, confidence_level = 0.95)

Arguments

data	the data set as a data frame (load_data())
analysisplan	the analysisplan (load_analysisplan())
weighting	optional: the weighting function (use load_samplingframe() and then map_to_weighting())
cluster_variable_name	optional: the name of the variable with the cluster IDs
questionnaire	optional: the questionnaire (load_questionnaire())
labeled	do you want the resuts to display labels rather than xml names ? defaults to false, requires the questionnaire
verbose	should progress be printed to the console? (default TRUE, slightly faster if FALSE)
confidence_level	the confidence level to be used for confidence intervals (default: 0.95)

Value

returns a list of hypegrammaR "result" objects (see map_to_result())

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