create_sim_samples: Create random samples for simulations

Description Usage Arguments Value See Also Examples

View source: R/etc_create_samples.R

Description

The create_sim_samples function generates random samples with different performance levels.

Usage

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create_sim_samples(n_repeat, np, nn, score_names = "random")

Arguments

n_repeat

The number of iterations to make samples.

np

The number of positives in a sample.

nn

The number of negatives in a sample.

score_names

A character vector for the names of the following performance levels.

"random"

Random

"poor_er"

Poor early retrieval

"good_er"

Good early retrieval

"excel"

Excellent

"perf"

Perfect

"all"

All of the above

Value

The create_sim_samples function returns a list with the following items.

See Also

mmdata for formatting input data. evalmod for calculation evaluation measures.

Examples

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##################################################
### Create a set of samples with 10 positives and 10 negatives
### for the random performance level
###
samps1 <- create_sim_samples(1, 10, 10, "random")

## Show the list structure
str(samps1)


##################################################
### Create two sets of samples with 10 positives and 20 negatives
### for the random and the poor early retrieval performance levels
###
samps2 <- create_sim_samples(2, 10, 20, c("random", "poor_er"))

## Show the list structure
str(samps2)


##################################################
### Create 3 sets of samples with 5 positives and 5 negatives
### for all 5 levels
###
samps3 <- create_sim_samples(3, 5, 5, "all")

## Show the list structure
str(samps3)

takayasaito/precrec documentation built on Aug. 24, 2017, 8:07 a.m.