hypegrammaR: hypegrammaR: Implementing IMPACT Data Analysis Guidelines

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

Description

A grammar of hypothesis driven analysis, following the idea that there is only one test

Details

Supports integration of weighted data (using the survey package) and data collected with kobotoolbox, ODK or similar. Executes the three main steps of data analysis

• summary statistics

• hypothesis tests

• preparation for visualisation

The user begins by loading the data, and if needed the questionnaire, analysisplan and sampling frame (as .csv files). To verify the correct format of these inputs, name can be used. All other functions then refer to these objects.

The two possible work-flows are: using the individual functions (in the blocks), and mapping to the resuls: using all the blocks automatically.

Mappig to the result

• map_to_result is the overall function that executes the three steps of data analysis

• map_to_file maps from the result to a csv or jpg file

• from_analysisplan_map_to_output applies map_to_result and map_to_file for all rows in the data analysis plan

Individual blocks

Preparing your data

• map_to_case,

• map_to_design,

• map_to_weighting

Summary statistics (examples)

• percent_with_confints_select_one,

• mean_with_confints_select_one_groups

Hypothesis tests (examples)

• hypothesis_test_t_one_sample,

• hypothesis_test_chisquared_select_one

Visualise (examples)

• barchart_percent,

• gg_heatmap_generic

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