Package: hypegrammaR 0.2.2

Eliora Henzler

hypegrammaR: A grammar of hypothesis test driven analysis

Quantitative analysis according to the IMPACT minimum standards. Accepts weights and input from kobo questionnaires.

Authors:Eliora Henzler [aut, cre]

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hypegrammaR.pdf |hypegrammaR.html✨
hypegrammaR/json (API)
NEWS

# Install 'hypegrammaR' in R:
install.packages('hypegrammaR', repos = c('https://humanitarian-user-group.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mabafaba/hypegrammar/issues

On CRAN:

2.73 score 2 stars 54 scripts 36 exports 116 dependencies

Last updated 5 years agofrom:ebb3f9577f. Checks:1 ERROR, 6 WARNING. Indexed: no.

TargetResultLatest binary
Doc / VignettesFAILJan 23 2025
R-4.5-winWARNINGJan 23 2025
R-4.5-linuxWARNINGJan 23 2025
R-4.4-winWARNINGJan 23 2025
R-4.4-macWARNINGJan 23 2025
R-4.3-winWARNINGJan 23 2025
R-4.3-macWARNINGJan 23 2025

Exports:%>%combine_weighting_functionsdatasanitation_designfrom_analysisplan_map_to_outputhypothesis_test_chisquared_select_multiplehypothesis_test_chisquared_select_onehypothesis_test_t_one_samplehypothesis_test_t_two_samplelabel_pvalueload_analysisplanload_dataload_questionnaireload_samplingframemap_to_casemap_to_designmap_to_filemap_to_generic_hierarchical_htmlmap_to_hypothesis_testmap_to_labeledmap_to_master_tablemap_to_resultmap_to_summary_statisticmap_to_summary_tablemap_to_tablemap_to_templatemap_to_visualisationmap_to_visualisation_heatmapmap_to_weightingmean_with_confintsmean_with_confints_groupspercent_with_confints_select_multiplepercent_with_confints_select_multiple_groupspercent_with_confints_select_onepercent_with_confints_select_one_groupsread.csv.auto.sepsummary_statistic_mode_select_one

Dependencies:assertthatbase64encbitbit64bslibcachemclassclassIntclicliprcolorspacecommonmarkcpp11crayondata.tableDBIdigestdplyre1071evaluateextrafontextrafontdbfansifarverfastmapfontawesomeforcatsfsgenericsggplot2ggthemesgluegtablehavenhighrhmshtmltoolshttpuvisobandjquerylibjsonlitekableExtraKernSmoothknitrkoboquestkobostandardslabelinglabelledlaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeminiUIminqamitoolsmunsellnlmenumDerivpillarpkgconfigplyrprettyunitsprogresspromisesproxypurrrquestionrR.cacheR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppArmadilloreadrreshape2rlangrmarkdownrprojrootrstudioapiRttf2pt1sassscalesshinysourcetoolssrvyrstringistringrstylersurveysurveyweightssurvivalsvglitesystemfontstibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevroomwithrxfunxlsformfillxml2xtableyaml

Readme and manuals

Help Manual

Help pageTopics
expand an analysis plan with repeat varanalysisplan_expand_repeat
Combine weight functions from two sampling framescombine_weighting_functions
Applies basic sanitation to data before summary statistics or hypothesis test can be applieddatasanitation_design
apply an analysis planfrom_analysisplan_map_to_output
Grouped barchart for percentagesgrouped_barchart_percent
hypegrammaR: Implementing IMPACT Data Analysis GuidelineshypegrammaR-package hypegrammaR
Perform a chi squared test on a select multiple question against a select one question.hypothesis_test_chisquared_select_multiple
hypothesis_test_chisquared_select_one Perform a chi squared test on a select one question against another.hypothesis_test_chisquared_select_one
Perform a one sample t test of one numerical variable against hypothesised value (limit)hypothesis_test_t_one_sample
Perform a two sample t test of one numerical variable across mutliple groupshypothesis_test_t_two_sample
presentable p-value formatlabel_pvalue
Add labels to resultslabels_summary_statistic
Load an analysis plan from a csv fileload_analysisplan
load asessment dataload_data
load_questionnaireload_questionnaire
Load a sampling frame from csvload_samplingframe
Map to casemap_to_case
Map to Designmap_to_design
Save outputs to filesmap_to_file
html from resultlist with results in specified hierarchical order based on analysisplanmap_to_generic_hierarchical_html
map to hypothesis testmap_to_hypothesis_test
Add labels to resultsmap_to_labeled
Make the master table of summary stats and hypothesis testsmap_to_master_table
Map to results from data, variable names & casemap_to_result
Map to summary statisticmap_to_summary_statistic
Make the master table of summary statsmap_to_summary_table
results as a tablemap_to_table
Map results to an output templatemap_to_template
map to visualisationmap_to_visualisation
Heatmaps from `result` objectsmap_to_visualisation_heatmap
creates a weighting function from a sampling framemap_to_weighting
Weighted means with confidence intervalsmean_with_confints
Weighted means with confidence intervals for groupsmean_with_confints_groups
Weighted percentages with confidence intervals for select multiple questionspercent_with_confints_select_multiple
Weighted percentages with confidence intervals for groups (select multiple questions)percent_with_confints_select_multiple_groups
Weighted percentages with confidence intervalspercent_with_confints_select_one
Weighted percentages with confidence intervals for groupspercent_with_confints_select_one_groups
not usedreach_style_barchart
reach brand beigesreach_style_color_beige
Reach brand beige triplesreach_style_color_beiges
Reach brand dark greysreach_style_color_darkgrey
Reach brand dark grey triplesreach_style_color_darkgreys
reach brand light greysreach_style_color_lightgrey
Reach brand light greys triplesreach_style_color_lightgreys
Reach brand redsreach_style_color_red
Reach brand reds triplesreach_style_color_reds
loading function with automatic defaultread.csv.auto.sep
Rmarkdown from resultlist in specified hierarchical orderresultlist_recursive_markdown
subset a list of results based on analysis parametersresults_subset
Weighted means with confidence intervals for groupssummary_statistic_mode_select_one