Package index • SHINEcleaning

All functions

bar_from_summary(): Bar percentage from summary data

bar_mean_multiple_vars() bar_mean_multiple_vertical(): Bar graph of means of multiple variables

bar_mean_single(): Bar graph of mean of a single var

bar_proportions_multiple(): Bar proportions multiple

bar_share_elevated(): Produce bar graph of % of sts with elevatved or expected mm scores

bar_share_elevated_multiple(): Produce bar graph of multiple % of sts with elevatved or expected scores

calculate_age(): Calculate age from date of birth and date of record

create_collapsed_summary(): Collapsed summary (percentages of successes) for proportion graphs

create_full_summary(): Full summary counts across all categories

data_prep() who_score() mm_score() sehs_primary() sehs_secondary() asw_score() sdq_score() fas_score(): Data preparation phase

date_range(): Generate text to describe input date range

geom_bar_t(): Thinner geom_bar

get_hbsc_prop(): Get the HBSC Scotland proportion by gender for provided response

get_hbsc_score(): Get the HBSC Scotland score by gender for provided response

group_classes(): Create a vector of nicely named, class groupings

hbsc_scotland: HBSC Scotland 2020 summary statistics

hbsc_scotland_modified: Modified HBSC Scotland dataset

how_many_valid(): Return count of non-NA values

prep_hbsc(): reshape hbsc summary data

pri_valid_responses: Simulated responses for primary survey testing

print_first_graph() print_rest_of_graphs(): Print multiple graphs across chunks

quiet_means(): Find the mean of only the numeric entries, no warnings

render_report(): Render a single report for school or local authority

run(): Run

scale_colour_hbsc(): Standard categorical fill scale

scale_fill_hbsc(): Standard categorical fill scale

sec_valid_responses: Simulated responses for secondary survey testing

share_elevated(): Produce table of % of sts with elevatved or expected mm scores

share_elevated_multiple(): Proportions in each subgroup with elevated results across multiple vars

summary_mean_multiple_vars(): Table of means for multiple variables

summary_mean_single_var(): Summary table of means for a single variable

summary_proportions_multiple(): Table of % categories for multiple variables

tab_categories(): Table of class by gender counts

tab_categories_grouped(): Table of grouped classes by gender counts

tab_responses(): Generate table reporting survey response rate

table_from_summary(): A table of percentages from summary data

valid_numbers(): Return only numeric values, no warnings

duration_too_short() no_test_responses() partial_cases() duplicate_cases() suggest_missing_class() age_year_mismatch() straightlining() recurring_postcodes() no_consent() has_school_id() valid_dob() completed_outside_school_hours() completed_at_weekend(): Validators