R: Browse Over Longitudinal Data Graphically and Analytically in R

# Browse Over Longitudinal Data Graphically and Analytically in R

## Documentation for package ‘brolgar’ version 1.0.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

add_key_slope | Fit linear model for each key
add_key_slope.default | Fit linear model for each key
add_n_obs | Add the number of observations for each key in a 'tsibble'
brolgar-features | Calculate features of a 'tsibble' object in conjunction with 'features()'
b_diff_iqr | Brolgar summaries (b_summaries)
b_diff_max | Brolgar summaries (b_summaries)
b_diff_mean | Brolgar summaries (b_summaries)
b_diff_median | Brolgar summaries (b_summaries)
b_diff_min | Brolgar summaries (b_summaries)
b_diff_q25 | Brolgar summaries (b_summaries)
b_diff_q75 | Brolgar summaries (b_summaries)
b_diff_sd | Brolgar summaries (b_summaries)
b_diff_var | Brolgar summaries (b_summaries)
b_iqr | Brolgar summaries (b_summaries)
b_mad | Brolgar summaries (b_summaries)
b_max | Brolgar summaries (b_summaries)
b_mean | Brolgar summaries (b_summaries)
b_median | Brolgar summaries (b_summaries)
b_min | Brolgar summaries (b_summaries)
b_q25 | Brolgar summaries (b_summaries)
b_q75 | Brolgar summaries (b_summaries)
b_range | Brolgar summaries (b_summaries)
b_range_diff | Brolgar summaries (b_summaries)
b_sd | Brolgar summaries (b_summaries)
b_summaries | Brolgar summaries (b_summaries)
b_var | Brolgar summaries (b_summaries)
decreasing | Are values monotonic? Always increasing, decreasing, or unvarying?
facet_sample | Facet data into groups to facilitate exploration
facet_strata | Facet data into groups to facilitate exploration
feat_brolgar | Calculate features of a 'tsibble' object in conjunction with 'features()'
feat_diff_summary | Calculate features of a 'tsibble' object in conjunction with 'features()'
feat_five_num | Calculate features of a 'tsibble' object in conjunction with 'features()'
feat_monotonic | Calculate features of a 'tsibble' object in conjunction with 'features()'
feat_ranges | Calculate features of a 'tsibble' object in conjunction with 'features()'
feat_spread | Calculate features of a 'tsibble' object in conjunction with 'features()'
feat_three_num | Calculate features of a 'tsibble' object in conjunction with 'features()'
heights | World Height Data
increasing | Are values monotonic? Always increasing, decreasing, or unvarying?
index_regular | Index summaries
index_regular.data.frame | Index summaries
index_regular.tbl_ts | Index summaries
index_summary | Index summaries
index_summary.data.frame | Index summaries
index_summary.tbl_ts | Index summaries
keys_near | Return keys nearest to a given statistics or summary.
keys_near.data.frame | Return keys nearest to a given statistics or summary.
keys_near.default | Return keys nearest to a given statistics or summary.
keys_near.tbl_ts | Return keys nearest to a given statistics or summary.
key_slope | Fit linear model for each key
l_five_num | A named list of the five number summary
l_funs | A named list of the five number summary
l_three_num | A named list of the five number summary
monotonic | Are values monotonic? Always increasing, decreasing, or unvarying?
nearests | Is x nearest to y?
nearest_lgl | Is x nearest to y?
nearest_qt_lgl | Is x nearest to y?
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
n_obs | Return the number of observations
pisa | Student data from 2000-2018 PISA OECD data
sample-n-frac-keys | Sample a number or fraction of keys to explore
sample_frac_keys | Sample a number or fraction of keys to explore
sample_n_keys | Sample a number or fraction of keys to explore
stratify_keys | Stratify the keys into groups to facilitate exploration
unvarying | Are values monotonic? Always increasing, decreasing, or unvarying?
wages | Wages data from National Longitudinal Survey of Youth (NLSY)