descriptr (version 0.3.0)

dist_norm_plot: Visualize Normal Distribution

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

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

a probability value

type

lower tail, upper tail or both

perc

a 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().

See Also

Normal

Examples

# NOT RUN {
# visualize normal distribution
dist_norm_plot()
dist_norm_plot(mean = 2, sd = 0.6)

# compute\/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')

# compute\/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')
# }