plot_sum_stats: Plot Summary Statistics
In tajohu/GGenemy: Visualization of multidimensional data by multiple conditioning

Description Usage Arguments Details Value Examples

View source: R/plot_sum_stats.R

Calculates the conditional mean, variance, skewness and kurtosis for continuous variables based on a range of quantiles of a given continuous variable and displays them as line plots.

1 2	plot_sum_stats(dataset, given_var, stats = c(1, 2, 3, 4), n_quantiles = 5)

`dataset`	A data frame. Factors and logicals will be removed.
`given_var`	A variable from your `dataset` which you want to set as a condition.
`stats`	Vector of summary statistics you want to plot.
`n_quantiles`	Number of quantiles you want to partition `given_var` into, with a maximum of 10.

The function will return one plot for each of the chosen summary statistics. The values will be displayed as line plots, each point representing the value of the statistic conditioned on a specific quantile of the given variable.

You can choose the way you indicate which summary statistics you want to plot. One way is to express the stats as numerics (1 = mean, 2 = variance, 3 = skewness, 4 = kurtosis) or as strings in a vector (as a subset of c("mean", "var", "skewness", "kurtosis")).

One plot for each statistic, showing all numeric variables conditioned on the given variable on a grid. The results will open in one window per statistic when using plot_sum_stats() in RStudio.