Scatter plot function

Creates a scatter plot

Usage

plot_x_continuous(toplot, x, y, colour, shape, point_alpha = 1, add_se = TRUE)

Arguments

toplot

Tibble with data to plot.

x

Character, name of the column in toplot to use as x-axis.

y

Character, name of the column in toplot to use as y-axis.

colour

Character, name of the column in toplot to use as colour.

shape

Character, name of the column in toplot to use as shape.

point_alpha

Numeric between 0 and 1, the opacity of the points in the plot (with 1 = fully opaque, and 0 = fully transparent). Default value is 1.

add_se

Logical, should a confidence interval be drawn around the smoothing curve for scatterplots? Default value is TRUE.

Value

A ggplot.

Details

The function adds a loess curve to summarise the trend between the covariate and the samples score. If colour_by is used, and the corresponding variable is numeric, the loess curve will not take into account this variable. If instead the colour_by variable is a character or factor, a loess curve will be fitted separately for each category.