# dist_norm_plot: Visualize normal distribution In rsquaredacademy/descriptr: Generate Descriptive Statistics & Explore Statistical Distributions

## Description

Visualize how changes in mean and standard deviation affect the shape of the normal distribution. Compute & visualize quantiles out of given probability and probability from a given quantile.

## Usage

 ```1 2 3 4 5 6 7``` ```dist_norm_plot(mean = 0, sd = 1) dist_norm_perc(probs = 0.95, mean = 0, sd = 1, type = c("lower", "upper", "both")) dist_norm_prob(perc, mean = 0, sd = 1, type = c("lower", "upper", "both")) ```

## Arguments

 `mean` Mean of the normal distribution. `sd` Standard deviation of the normal distribution. `probs` Probability value. `type` Lower tail, upper tail or both. `perc` Quantile value.

## Value

Percentile for the `probs` based on `mean`, `sd` and `type` or probability value for `perc` based on `mean`, `sd` and `type`.

## Deprecated functions

`norm_plot()`, `norm_prob()` and `norm_per()` have been deprecated. Instead use `dist_norm_plot()`, `dist_norm_prob()` and `dist_norm_per()`.

`Normal`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13``` ```# visualize normal distribution dist_norm_plot() dist_norm_plot(mean = 2, sd = 0.6) # visualize probability from a given quantile dist_norm_prob(3.78, mean = 2, sd = 1.36) dist_norm_prob(3.43, mean = 2, sd = 1.36, type = 'upper') dist_norm_prob(c(-1.74, 1.83), type = 'both') # visualize quantiles out of given probability dist_norm_perc(0.95, mean = 2, sd = 1.36) dist_norm_perc(0.3, mean = 2, sd = 1.36, type = 'upper') dist_norm_perc(0.95, mean = 2, sd = 1.36, type = 'both') ```