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]

hypegrammaR_0.2.2.tar.gz
hypegrammaR_0.2.2.zip(r-4.5)hypegrammaR_0.2.2.zip(r-4.4)hypegrammaR_0.2.2.zip(r-4.3)
hypegrammaR_0.2.2.tgz(r-4.4-any)hypegrammaR_0.2.2.tgz(r-4.3-any)
hypegrammaR_0.2.2.tar.gz(r-4.5-noble)hypegrammaR_0.2.2.tar.gz(r-4.4-noble)
hypegrammaR_0.2.2.tgz(r-4.4-emscripten)hypegrammaR_0.2.2.tgz(r-4.3-emscripten)
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'))

Peer review:

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

Datasets:

    On CRAN:

    2.73 score 2 stars 54 scripts 36 exports 116 dependencies

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

    TargetResultDate
    Doc / VignettesFAILSep 25 2024
    R-4.5-winWARNINGSep 25 2024
    R-4.5-linuxWARNINGSep 25 2024
    R-4.4-winWARNINGSep 25 2024
    R-4.4-macWARNINGSep 25 2024
    R-4.3-winWARNINGSep 25 2024
    R-4.3-macWARNINGSep 25 2024

    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