item-summary {comperes}

Compute item summary

Description

Functions for computing item summary, i.e. some summary measurements (of arbitrary nature) of item (one or more columns) present in data frame.

Usage

summarise_item(tbl, item, ..., .prefix = "")

summarise_game(tbl, ..., .prefix = "")

summarise_player(tbl, ..., .prefix = "")

summarize_item(tbl, item, ..., .prefix = "")

summarize_game(tbl, ..., .prefix = "")

summarize_player(tbl, ..., .prefix = "")

Arguments

tbl

Data frame.

item

Character vector of columns to group by.

...

Name-value pairs of summary functions (as in dplyr::summarise).

.prefix

A string to be added to all summary functions' names.

Details

Basically, summarise_item() performs the following steps:

• Group tbl by columns stored in item. Note that starting from 0.8.0 version of dplyr this might give a warning in case of implicit NAs in factor columns (NA present in column values but not in its levels) suggesting to add NA to levels.

• Apply dplyr's summarise().

• Ungroup result.

• Convert to tibble.

• Add .prefix to names of summary functions.

summarise_game() and summarise_player() are wrappers for summarise_item() using item = "game" and item = "player" respectively.

Value

Output of summarise() as not grouped tibble.

See Also

Common item summary functions for competition results.

Join item summary

Examples

ncaa2005 %>%
  dplyr::mutate(game_type = game %% 2) %>%
  summarise_item(c("game_type", "player"), mean_score = mean(score))

ncaa2005 %>%
  summarise_game(mean_score = mean(score), min_score = min(score))