Function reference • brolgar

Data Datasets that come with `brolgar`
`wages`	Wages data from National Longitudinal Survey of Youth (NLSY)
`heights`	World Height Data
ggplot helpers ggplot2 functions to help explore your data
`facet_sample()`	Facet data into groups to facilitate exploration
`facet_strata()`	Facet data into groups to facilitate exploration
Sampling helpers Functions to help sampling series from the data
`sample_n_keys()` `sample_frac_keys()`	Sample a number or fraction of keys to explore
`stratify_keys()`	Stratify the keys into groups to facilitate exploration
Features Identify features in your data:
`feat_three_num()` `feat_five_num()` `feat_ranges()` `feat_spread()` `feat_monotonic()` `feat_brolgar()` `feat_diff_summary()`	Calculate features of a `tsibble` object in conjunction with `features()`
Exploratory tools (Experimental) Tools to help with exploratory modelling of your data
`key_slope()` `add_key_slope()` `add_key_slope.default()`	Fit linear model for each key
`keys_near()`	Return keys nearest to a given statistics or summary.
Find observations near a value Identify observations near some summary value
`near_between()`	Return x percent to y percent of values
`near_middle()`	Return the middle x percent of values
`near_quantile()`	Which values are nearest to any given quantiles
`nearest_lgl()` `nearest_qt_lgl()`	Is x nearest to y?
Summaries Functions that are used to power the summary functions in `brolgar`
`b_min()` `b_max()` `b_median()` `b_mean()` `b_q25()` `b_q75()` `b_range()` `b_range_diff()` `b_sd()` `b_var()` `b_mad()` `b_iqr()` `b_diff_var()` `b_diff_sd()` `b_diff_mean()` `b_diff_median()` `b_diff_q25()` `b_diff_q75()` `b_diff_max()` `b_diff_min()` `b_diff_iqr()`	Brolgar summaries (b_summaries)
`l_five_num` `l_three_num`	A named list of the five number summary
Helpers Helper functions to assist summarising data
`n_obs()`	Return the number of observations
`add_n_obs()`	Add the number of observations for each key in a `tsibble`
`reexports`	Objects exported from other packages
`increasing()` `decreasing()` `unvarying()` `monotonic()`	Are values monotonic? Always increasing, decreasing, or unvarying?

Reference

Data

ggplot helpers

Sampling helpers

Features

Exploratory tools (Experimental)

Find observations near a value

Summaries

Helpers