beeStrip: beeStrip
In lukereding/redingPlot: Collection of plotting functions

Description Usage Arguments Value Examples

plots each vector in your list as a group with the data forming a histogram; draws a line at the mean for eaach group

beeStrip(data, lab = rep(c(), length(data)), point_size = 1.4,
  beeMethod = "center", line_color = "red", line_width = 3, jitter = T,
  point_col = viridis(length(data) + 2)[1:length(data)],
  y_limits = c(min(unlist(data), na.rm = T), max(unlist(data), na.rm = T)),
  median = FALSE, rug = TRUE, sample_size = T, IQR = F, side = -1,
  ...)

`data`	list of groups you want to plot where length(data) = number of groups
`lab`	labels for each group
`point_size`	size of the individual data points. default is 1.4
`beeMethod`	see beeswarm(). default is "center"
`line_color`	color of line drawn at the mean for each group. default is "red"
`line_width`	width of the line drawn at the mean. default is 3.0
`jitter`	logical. should the data be jittered? defaults to TRUE
`point_col`	vector of colors. defaults to viridis colors
`y_limits`	you know this one
`median`	logical. should a diamond for the median be plotted?
`rug`	logical. should a rug plot be plotted on the right side of the plot?
`sample_size`	logical. should the sample size be plotted beneath each group?
`IQR`	logical. Should a line representing the IQR for each group be plotted?
`...`	other arguments to par()

None

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beeStrip(list(rnorm(50,50,5),rnorm(30,40,6),rnorm(10,60,2),rnorm(60,50,10),rnorm(30,39,4)),point_col=wes_palette(5, name = "Zissou"),line_color="black",median=T)
beeStrip(list(iris %>% filter(Species=="setosa") %>% .$Sepal.Length, iris %>% filter(Species=="versicolor") %>% .$Sepal.Length, iris %>% filter(Species=="virginica") %>% .$Sepal.Length),lab=c("setosa","versicolor","virginica"),ylab="sepal length",main="beeStrip()",xlab="species")