normalQQPlot: creates a ggplot object showing a normal quantile plot with...
In BenBruyneel/BBPersonalR: BBPersonalR

normalQQPlot

R Documentation

creates a ggplot object showing a normal quantile plot with confidence intervals qqplot: https://github.com/aloy/qqplotr

Description

creates a ggplot object showing a normal quantile plot with confidence intervals

qqplot: https://github.com/aloy/qqplotr

Usage

normalQQPlot(
  data,
  column,
  removeNA = TRUE,
  sampleSize = NA,
  pointColor = "black",
  pointFill = "green",
  pointShape = 21,
  pointSize = 3,
  pointAlpha = 0.75,
  lineColor = "red",
  lineType = "solid",
  lineWidth = 1,
  lineAlpha = 1,
  title = NULL,
  distribution = "norm",
  distributionParameters = list(),
  bandType = c("pointwise", "boot", "ks", "ts")[3],
  bandFill = "blue",
  bandAlpha = 0.1,
  xAxis = TRUE,
  yAxis = TRUE,
  vertical = FALSE,
  xDefault = TRUE,
  xLimits = c(0, NA),
  yDefault = TRUE,
  yLimits = c(0, NA),
  xLabel = "Theoretical",
  yLabel = "Sample",
  ...
)

Arguments

`data`	the data to be plotted, can be a numeric/character/etc vector or data.frame like (or tibble etc). If it is data.frame or similar the column argument defines which column is to be used
`column`	defines which columns are to be used for the plot. Can be integer or character (column name)
`removeNA`	if TRUE, the NA 'values' in the vector will be removed prior to plotting. @note this will remove warning messages and errors
`sampleSize`	allows to the use of a sample of the data to be used for the boxplot. By default sampleSize = NA, in which case all data is used
`pointColor`	defines the color of the border of the data points
`pointFill`	defines the color of the data points themselves
`pointShape`	shape of the data points
`pointSize`	size of the data points
`pointAlpha`	alpha ('see through' value) of the data points
`lineColor`	color of the normal distribution 'line'
`lineType`	type of the normal distribution 'line'
`lineWidth`	width of the normal distribution 'line'
`lineAlpha`	alpha ('see through' value) of the normal distribution 'line'
`title`	sets title of graph
`distribution`	character vector, default is 'norm', see qqplotr::geom_qq_band for more info
`distributionParameters`	list of additional parameters passed on to the previously chosen distribution function, see qqplotr::geom_qq_band for more info
`bandType`	sets the type of confidence bands calculations. Default = "ks" (Kolmogorov-Smirnov test), for descriptions of the other options ("pointwise","boot","ts") see ?geom_qq_band
`bandFill`	sets the color of the confidence interval band
`bandAlpha`	sets the alpha ('see through' value) of the confidence interval band
`xAxis`	defines if the x-axis is shown
`yAxis`	defines if the x-axis is shown
`vertical`	if TRUE, flips x- and y-axis
`xDefault`	default is set to TRUE, together with xLimits, this can be used to define the exact range of the X-axis
`xLimits`	default = c(0,NA), together with xDefault, this can be used to define the exact range of the Y-axis
`yDefault`	default is set to TRUE, together with yLimits, this can be used to define the exact range of the Y-axis
`yLimits`	default = c(0,NA), together with yDefault, this can be used to define the exact range of the Y-axis
`xLabel`	specifies the label on the x-axis (theoretical)
`yLabel`	specifies the label on the y-axis (sample)
`...`	can be used to pass on other arguments to graphAdjust() (like xLimits, xExpand, etc)