Plot method for the single_mean function
# S3 method for single_mean plot(x, plots = "hist", shiny = FALSE, custom = FALSE, ...)
Arguments
| x | Return value from |
|---|---|
| plots | Plots to generate. "hist" shows a histogram of the data along with vertical lines that indicate the sample mean and the confidence interval. "simulate" shows the location of the sample mean and the comparison value (comp_value). Simulation is used to demonstrate the sampling variability in the data under the null-hypothesis |
| shiny | Did the function call originate inside a shiny app |
| custom | Logical (TRUE, FALSE) to indicate if ggplot object (or list of ggplot objects) should be returned. This option can be used to customize plots (e.g., add a title, change x and y labels, etc.). See examples and http://docs.ggplot2.org for options. |
| ... | further arguments passed to or from other methods |
Details
See https://radiant-rstats.github.io/docs/basics/single_mean.html for an example in Radiant
See also
single_mean to generate the result
summary.single_mean to summarize results
Examples
result <- single_mean(diamonds, "price", comp_value = 3500) plot(result, plots = c("hist", "simulate"))
