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) |