Package index • adlgraphs

Graph Wrappers

These are wrapper functions around common ggplot2 functions. They’re designed to make it easier to make graphs.

adl_bar_plots(): Create bar plots in ADL's style

adl_coef_plots(): Create coefficient plots in ADL's style

stat_density_quant(): Stat for density ridgeline plots

Themes

Full blown ggplot2 themes that affect almost all visual aspects of a graph. These are similar to ggplot2 themes like ggplot2::theme_minimal() or ggplot2::theme_gray().

theme_default(): Default theme

theme_v_bar(): Theme for vertical non-stacked bar plots

theme_h_bar(): Theme for non-stacked horizontal bar plots

theme_h_stack(): Theme for horizontal stacked bar plots

theme_coef(): Theme for coefficient plots

hc_theme_default(): The default theme for hc charts

Other graphing stuff

scale_adl(): ADL color scale

adl_palettes: Complete list of available adl official color palettes

Data transformations

case_match_fct(): case_match with factor levels

case_when_fct(): case_when with factor levels

make_factor(): Convert a labelled vector into a factor

make_quarts(): Create quartiles

make_dicho(): Make dichotomous factors

make_binary(): Make binary variables

num_rev(): Reverse a numeric function

refactor(): Assign or reorder factor levels manually

pct_conv(): Make proper percent labels

make_percent(): Convert a numeric vector to a percent

pivot_longer_values(): Pivot data from wide to long with value labels

Data analysis

These are miscellaneous functions created to help with data analysis.

dunnett(): Run Dunnett's multiple comparisons test with one control.

get_coefficients(): Create a tidied tibble of regression results

get_means(): Calculate means with confidence intervals

get_freqs(): Calculate weighted frequencies

get_freq_table(): Get the frequencies as a GT table

get_all_freqs(): Export frequencies for a set of variables to a word doc.

get_corr(): Calculate weighted correlations

get_all_corr(): Get correlations for a combination of variables

get_loadings(): Calculate the loadings in factor analysis

prettytable(): Make pretty HTML tables

wtd_corr(): Calculate individual weighted correlations

Attribute helpers

attr_var_label(): Get variable label

attr_val_labels(): Get value labels

attr_levels(): Get variable label

attr_note(): Get the note attribute

attr_question_preface(): Get the question_preface attribute

attr_survey_flow(): Get the survey_flow attribute

attr_transformation(): Get the transformation attribute

flatten_labelled_vec(): Flatten a labelled vector

Miscellaneous functions

remove_bot_dupe(): Remove bots and/or duplicates from a data frame

get_bot_dupe(): Get the bots or duplicates from a data frame

export_bot_dupe(): Export data frame with only bots and duplicates

codebook(): Create a data codebook

clean_demos(): Clean up demographic variables

dunnett_helper(): Perform Dunnett's test (mostly internal function)

make_df_oxy(): Automate dataset documentation

stars_pval(): Add stars based on the p-value

write_word_table(): This mainly an internal package but can be used externally

wtd_sd(): Calculate weighted standard deviation

Data

test_data: dataset_title,