item-summary: Compute item summary

In comperes: Manage Competition Results

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))

comperes documentation built on March 7, 2023, 7:02 p.m.