nplots_violin: nplots_violin : Generate violin plots using ggplot2
In STAT545-UBC-students/hw07-rasiimwe: Plot my gg-plot

Description Usage Arguments Details Value Examples

View source: R/nplots_violin.R

This function takes your plot arguments like the data, aesthetics, plot layers and labels and creates a violin plot for you using ggplot2. You don't have to worry about writing a bunch of lines of code. This function takes care ofthat for you!

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nplots_violin(x, y_variable, factor, jitter = TRUE, order = TRUE,
  xlab = "", ylab = "", title = "", plotly = TRUE, alpha = 0.05,
  hjust = 0.5)

`x`	The dataset to be used
`y_variable`	y-axis variable for the violin plot
`factor`	the factor variable to be used in the violin plot
`jitter`	argument to specify whether jitter should be included in plot - supply arguments TRUE of FALSE
`order`	argument to specify whether factor reorder should be applied to a plot - supply arguments TRUE of FALSE
`xlab`	argument to specify x axis label
`ylab`	argument to specify y axis label
`title`	argument to specify the plot title to be applied
`plotly`	argument to specify whether the genereated plot should be rendered as a plotly plot
`alpha`	argument to specify geom_poin opacity or transparency magnitude
`hjust`	argument to specify horizontal justification of the plot title

This function takes plot the specified plot arguments and produces a violin plot using - nplots_violin with the background machinery being ggplot2. Future versions of this function will provide an inclusion of other plot layers and objects to work with.

violin plot

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\code {nplots_violin(gapminder, gapminder$gdpPercap, gapminder$continent, jitter=TRUE, order=TRUE, xlab="Continent", ylab="gdpPercap", title="gdpPercap across continents", plotly=TRUE, alpha=0.05, hjust=0.5)}
\code {nplots_violin(iris, iris$Sepal.Width, iris$Species, jitter=FALSE, order=TRUE, xlab="Sepal.Width", ylab="Sepal.Length", title="Sepal Width Vs Length", plotly=FALSE)}