Display distributions in r | R-Bloggers

When working with distributions in R, each distribution has four functions, namely:

• dXXX – Density function.
• rXXX – Generate random number from this distribution.
• pXXX – The area returns to the left of the given value.
• qXXX – returns the quantile for the given value/area.

Where XXX Is the distribution name (e.g. norm” binom” tetc.).

remotes::install_github('jbryer/VisualStats')

The VisualStats::plot_distributions() Function generates four suddenly that represent the four R distribution functions. For each subplot points correspond to the first parameter of the corresponding function (note the subplot for the arbitrariness rXXX Function has no points, because this simply returns random values ​​from that distribution). The arrows correspond to what that function will return.

library(VisualStats)
data('distributions', package="VisualStats")
plot_distributions(dist="norm",
                   xvals = c(-1, 0, 0.5),
                   xmin = -4,
                   xmax = 4)

The top two suddenly (dXXX And rXXX) Plot the distribution. The bottom two suddenly are the cumulative density function for the given distribution. The CDF describes the chance that a random variable (x) is smaller than or equal to a specific value (x), written as f (x) = p (x ≤ x). The CDF offers a complete picture of the distribution of a random variable by accumulating opportunities at that time.

plot_distributions(dist="binom",
                   xvals = c(1, 3),
                   xmin = 0,
                   xmax = 10,
                   args = list(size = 10, prob = 0.35))

The VisualStats Package also has a shiny application with which you can interactively plot the 17 distributions that are available in basic R.

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