prepBarData: Prepare and print basic statistics for niceBar
In ZachHunter/NicePlots.R: Nice Plots for Data Exploration

prepBarData

R Documentation

Prepare and print basic statistics for niceBar

Description

Processess the input data, factors, and options to produce summary data for drawing bar plots

Usage

prepBarData(
  x,
  by,
  errorMultiple = 1,
  upperErrorFun = "sd",
  lowerErrorFun = upperErrorFun,
  aggFunction = "mean",
  stack = FALSE,
  subgroup = FALSE
)

Arguments

`x`	list; a list object returned by `prepCategoryWindow`
`by`	factor or dataframe of factors; One or more factors that control how the data is grouped. The first column is the primary grouping factor and the second and thrid columns are used for sub-grouping and/or stacking as needed.
`errorMultiple`	numeric; How many standard errors/deviations should be represented by the error bars.
`upperErrorFun`	character string; Determines how the error barse are calculated. Options are `sd` (standard deviation), `se` (standard error), `min`, `max` and `boot95ci` (bootstrap 95% confidence interval).
`lowerErrorFun`	character; A character vector for the primary group names
`aggFunction`	character string; An string naming the function to be used to aggregate the grouped data. Typically should be either `median` or `mean`.
`stack`	logical; Should one of the factors in `by` be used make a stacked bar plot. Note that this sort of analysis is nonsensical for many data sets.
`subgroup`	logical; If `TRUE` the data will be faceted into subgroups within the primary factor levels. Ignored if `by` is a `factor` or `x` is a `data.frame`.