Package index • lighthouse

Count functions

count_pct(): Count observations with percentage

count_multiple(): Count observations for multiple variables

count_with_total(): Count observations with totals row

count_duplicates(): Count duplicates across specified columns

count_unique(): Count unique values in data frame columns

count_na(): Count NA values by group

crosstab(): Cross-tabulate observations

Grouping and summary functions

summary_report() nom() bin() cont(): Summarize variables based on measurement level

summary_table(): Custom summary table

cols_info(): Get information about data frame columns

df_compare(): Compare two data frames and show differences

group_with_total(): Add "Total" group to grouped dataframe

Data transformation

fct_case_when(): Results of case_when() as factor.

fct_collapse_alt(): Collapse factor levels with additional controls

fct_reorder_n(): Reorder factor levels by sorting along multiple other variables.

reverse_key(): Reverse key a numeric vector

scale_mad(): Scale based on median absolute deviation

scale_vec(): Scaling and centering of vectors

swap() swap_if(): Swap column values, optionally based on condition

try_numeric() try.numeric(): Suppress NA warning when coercing to numeric

winsorize(): Winsorize extreme values

Data restructuring

add_header(): Add header rows to a table

add_empty_rows(): Add empty rows

add_rows_at_value(): Add empty rows at specified values in a column

rev_rows(): Reverse the order of rows in a table.

fct_filter(): Filter by and drop factor levels simultaneously

filter_drop(): Filter by and drop a column simultaneously

group_split_named(): Split dataframe by named groups

pad_vectors(): Pad vectors to the same length

pivot_wider_alt(): Alternative column ordering and naming for pivot_wider()

reorder_dendro_by_label(): Reorder a dendrogram

t_tibble(): Transpose a tibble

Working with missing values

count_na(): Count NA values by group

discard_na(): Remove missing values

find_na_cols() drop_na_cols(): Identify or remove columns with no data

drop_na_rows(): Drop rows where all columns are NA

fct_na_if(): Convert specified factor levels to NA

nth_valid() first_valid() last_valid(): Get the nth, first, or last non-NA value in a vector

is_valid() is.valid(): Identify non-missing values

n_valid() pct_valid() n_pct_valid(): Count non-missing cases

na_if_range(): Set NA values based on range of numbers.

na_to_null() null_to_na(): Replace NA with NULL and vice versa

Working with dates

datetimes_to_date(): Convert all datetimes in table to dates

days_diff(): Number of days between two dates

fiscal_year() ffy() sfy_il() ffyq() sfyq_il(): Get the fiscal year and quarter of a date-time

floor_month() floor_week() floor_days(): Floor methods for date objects

nth_bizday() next_bizday(): Find the nth or next business day

strftime_no_lead(): Format date-time to string without leading zeros

Working with character vectors

glue_chr(): Format and interpolate a string as character vector

str_c_narm(): Concatenate strings with NA handling

str_c_tidy(): Tidy string concatenation

str_collapse(): Collapse a character vector into a single string

str_detect_any() str_starts_any() str_ends_any(): Detect the presence of any pattern in a string

str_prefix() str_suffix(): Find common prefixes or suffixes

syms_to_chr(): Print symbols as a character vector

Statistical functions

se_mean(): Compute the standard error of the mean

se_prop(): Compute the standard error of a proportion

d_to_OR() OR_to_d(): Conversion between Cohen's d and odds ratio

p_to_OR() OR_to_p2() OR_to_p1(): Convert between probabilities and odds ratios

accuracy_stats(): Compute common accuracy and agreement metrics

wkappa(): Compute Cohen's kappa and weighted kappa

cohen_w(): Compute Cohen's w

dunn_test(): Pairwise post-hoc test following Kruskal-Wallis test

asterisks(): Return asterisks corresponding to p-values

ci_sig(): Test whether a confidence interval excludes a given value

Sums, minima, and maxima

sum_if_any() max_if_any() min_if_any(): Sums, maxima and minima with alternative missing value handling

psum() pmean(): Parallel / row-wise sums and means

psum_across() pmean_across() pmin_across() pmax_across(): tidyselect-friendly row-wise aggregation

cumsum_desc(): Descending cumulative sum

Logical tests

is_duplicate(): Identify duplicates within a vector or vectors

is_TRUE() is_FALSE() is_TRUE_or_NA() is_FALSE_or_NA(): Vectorized logical tests

is_coercible_numeric() is_coercible_integer() is_coercible_logical(): Test for data encoded as other formats

is_spss(): Test whether a data frame contains SPSS variable or value labels

eq_shape(): Test if two objects have the same shape

Displaying output

in_excel(): Open dataframe in Excel

print_all(): Print all tibble rows

print_n(): Print specified number of tibble rows

write_xlsx_styled(): Write a styled data frame to an Excel file

add_plot_slide(): Add a plot to a PowerPoint slide

Data visualization helpers

set_ggplot_opts(): Nicer default theme and palettes for ggplot2

add_crossings(): Add crossings to a dataframe for area charts

after_opacity() before_opacity(): Translate colors before and after alpha blending

Working with service cascades

cascade_fill_bwd() cascade_fill_fwd() cascade_summarize(): Utilities for service cascades

Infix operators

`%<-%` `%->%`: Unpack and assign

`%!in%`: Match values not in vector

`%all_in%` `%any_in%`: Test whether multiple values are in a vector

Miscellany

open_file() open_location() file.open() dir.open(): Open a file or directory

set_compare(): Set comparison with automatic naming

suppress_warnings_if() suppress_messages_if(): Conditionally suppress warnings or messages

untidyselect(): Convert a tidy selection to a vector of column names

zap_everything(): Strip special attributes from SPSS dataset

gain_ss_score(): Compute time period scores for GAIN-SS scales

rbool(): Generate random logicals

Datasets

gain_missing_codes: Missing codes for GAIN ABS

holidays_chestnut: CHS holidays over a 20-year period

holidays_il: Illinois state holidays over a 20-year period

holidays_us: US federal holidays over a 20-year period

state.terr.name state.terr.abb state.terr.data: US state and territory data

Deprecated

get_col_types(): Summarize a dataframe's column types - DEPRECATED

ggview(): Nicer ggplot rendering - DEPRECATED

median_dbl(): Median value as double - DEPRECATED

na_like(): Generate NA values of appropriate type - DEPRECATED

coerce_na_range(): Set NA values based on numbers stored as strings - DEPRECATED

row_sums_spss(): Replicate SPSS SUM() function - DEPRECATED

safe_max() safe_min(): Maxima and minima with alternative missing value handling - DEPRECATED

se(): Compute the standard error - DEPRECATED