# dist_binom_plot: Visualize binomial distribution In rsquaredacademy/descriptr: Generate Descriptive Statistics & Explore Statistical Distributions

## Description

Visualize how changes in number of trials and the probability of success affect the shape of the binomial distribution. Compute & visualize probability from a given quantile and quantiles out of given probability.

## Usage

 ```1 2 3 4 5``` ```dist_binom_plot(n, p) dist_binom_prob(n, p, s, type = c("lower", "upper", "exact", "interval")) dist_binom_perc(n, p, tp, type = c("lower", "upper")) ```

## Arguments

 `n` Number of trials. `p` Aggregate probability. `s` Number of success. `type` Lower/upper/exact/interval. `tp` Probability of success in a trial.

## Value

A list containing the following components:

 `avg` Mean of the binomial distribution, `stdev` Standard deviation of the binomial distribution. `prob` Probability of success.

## Deprecated functions

`binom_plot()`, `binom_prob()`, `binom_perc()` have been deprecated. Instead use `dist_binom_plot()`, `dist_binom_prob()` and `dist_binom_perc()`.

`Binomial`

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12``` ```# visualize binomial distribution dist_binom_plot(10, 0.3) # visualize probability from a given quantile dist_binom_prob(10, 0.3, 4, type = 'exact') dist_binom_prob(10, 0.3, 4, type = 'lower') dist_binom_prob(10, 0.3, 4, type = 'upper') dist_binom_prob(10, 0.3, c(4, 6), type = 'interval') # visualize quantiles out of given probability dist_binom_perc(10, 0.5, 0.05) dist_binom_perc(10, 0.5, 0.05, "upper") ```

rsquaredacademy/descriptr documentation built on Oct. 7, 2018, 1:02 p.m.