arrange.grouped_ts | Arrange rows by variables |
arrange.tbl_ts | Arrange rows by variables |
as.data.frame.tbl_ts | Coerce to a tibble or data frame |
as.ts.tbl_ts | Coerce a tsibble to a time series |
as.tsibble | Coerce to a tsibble object |
as_tibble.tbl_ts | Coerce to a tibble or data frame |
as_tsibble | Coerce to a tsibble object |
as_tsibble.data.frame | Coerce to a tsibble object |
as_tsibble.hts | Coerce to a tsibble object |
as_tsibble.list | Coerce to a tsibble object |
as_tsibble.msts | Coerce to a tsibble object |
as_tsibble.mts | Coerce to a tsibble object |
as_tsibble.tbl_df | Coerce to a tsibble object |
as_tsibble.tbl_ts | Coerce to a tsibble object |
as_tsibble.ts | Coerce to a tsibble object |
build_tsibble | Construct a tsibble object |
case_na | A thin wrapper of 'dplyr::case_when()' if there are 'NA's |
fill_na | Turn implicit missing values into explicit missing values |
filter.tbl_ts | Return rows with matching conditions |
group_by.tbl_ts | Group by one or more variables |
guess_frequency | Guess a time frequency from other index objects |
id | Identifier to construct structural variables |
index | Return index and interval from a tsibble |
index_sum | Extensible index type to tsibble |
inform_duplicates | Inform duplication of key and index variables |
interval | Return index and interval from a tsibble |
is.grouped_ts | Test if the object is a tsibble |
is.regular | 'is_regular' checks if a tsibble is spaced at regular time or not; 'is_ordered' checks if a tsibble is ordered by key and index. |
is.tsibble | Test if the object is a tsibble |
is_grouped_ts | Test if the object is a tsibble |
is_ordered | 'is_regular' checks if a tsibble is spaced at regular time or not; 'is_ordered' checks if a tsibble is ordered by key and index. |
is_regular | 'is_regular' checks if a tsibble is spaced at regular time or not; 'is_ordered' checks if a tsibble is ordered by key and index. |
is_tsibble | Test if the object is a tsibble |
key | Return key variables |
key_indices | Compute sizes of key variables |
key_size | Compute sizes of key variables |
key_update | Change/update key variables for a given 'tbl_ts' |
key_vars | Return key variables |
measured_vars | Return measured variables |
mutate.tbl_ts | Add new variables |
n_keys | Compute sizes of key variables |
pedestrian | Pedestrian counts in the city of Melbourne |
pull_interval | Extract time interval from a vector |
rename.tbl_ts | Select/rename variables by name |
select.tbl_ts | Select/rename variables by name |
slice.tbl_ts | Selects rows by position |
slide | Sliding window calculation |
slider | Sliding window calculation |
slide_dfr | Sliding window calculation |
slide_lst | Sliding window calculation |
split_by | Split a data frame into a list of subsets by variables |
stretch | Stretching window calculation |
stretcher | Stretching window calculation |
stretch_dfr | Stretching window calculation |
stretch_lst | Stretching window calculation |
summarise.tbl_ts | Collapse multiple rows to a single value |
summarize.tbl_ts | Collapse multiple rows to a single value |
tile | Tiling window calculation |
tiler | Tiling window calculation |
tile_dfr | Tiling window calculation |
tile_lst | Tiling window calculation |
time_unit | Extract time interval from a vector |
tourism | Australian domestic overnight trips |
transmute.tbl_ts | Add new variables |
tsibble | Create a tsibble object |
tsummarise | Aggregate over calendar periods |
tsummarise_all | Aggregate over calendar periods |
tsummarise_at | Aggregate over calendar periods |
tsummarise_if | Aggregate over calendar periods |
tsummarize | Aggregate over calendar periods |
tsummarize_all | Aggregate over calendar periods |
tsummarize_at | Aggregate over calendar periods |
tsummarize_if | Aggregate over calendar periods |
ungroup.grouped_ts | Group by one or more variables |
unkey | Return key variables |
yearmonth | Represent year-month or year-quarter objects |
yearquarter | Represent year-month or year-quarter objects |