statBarPlot: generates a simple barplot of data with id's in one column...
In BenBruyneel/BBPersonalR: BBPersonalR

statBarPlot

R Documentation

generates a simple barplot of data with id's in one column (x-axis values) and the y-axis values in the varColumn

Description

generates a simple barplot of data with id's in one column (x-axis values) and the y-axis values in the varColumn

Usage

statBarPlot(
  data,
  idColumn = 1,
  varColumn = 2:ncol(data),
  sampleSize = NA,
  removeNA = FALSE,
  variableName = "Variable",
  valueName = "Value",
  barPosition = ggplot2::position_dodge(),
  fillColors = NA,
  fillPalette = NA,
  outlineColor = 0,
  outlineType = "solid",
  outlineWidth = 1,
  fillAlpha = 1,
  vertical = FALSE,
  yAxis = TRUE,
  yDefault = TRUE,
  yLimits = c(0, NA),
  ySpace = 0.1,
  xLabel = idColumn,
  yLabel = valueName,
  title = "",
  gridLines = TRUE,
  showLegend = TRUE,
  legend.position = "bottom",
  returnData = FALSE,
  ...
)

Arguments

`data`	data.frame with 1 (numeric) column to be used as x-values and 1 or more columns to be used as bars (y-axis)
`idColumn`	defines which column in the data is to be used as id of the bars in the barplot
`varColumn`	one or more columns with numeric data, defining the height of the bars in the barplot
`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
`removeNA`	if TRUE, the NA 'values' in the vector will be removed prior to plotting. Note: this will remove warning messages and errors
`variableName`	allows setting of the 'name' of the varColumns (x-value o/t bars, eg concentration)
`valueName`	allows for setting of the name of the y-axis (eg signal)
`barPosition`	sets the dodging etc of the bars in the barplot, see ?ggplot2::position_dodge for more info
`fillColors`	sets the colors to be used for the bars
`fillPalette`	to set more subtle colors for the bars, examples: "Blues", "Greens", etc
`outlineColor`	sets the outline color of the bars
`outlineType`	sets the linetype for the outline of the bars
`outlineWidth`	sets the width of the outline of the bars
`fillAlpha`	sets the alpha (shine through) value of the fill colors of the bars
`vertical`	if TRUE then plot will be rotated 90 degrees
`yAxis`	if TRUE then the y-Axis will be shown
`yDefault`	if TRUE then default y-axis is used (based on the values in the barplot), if FALSE then the yLimits parameter is used to set the y-Axis range
`yLimits`	two value numeric vector, specifying the minimum and maximum value of the range of the y-Axis
`ySpace`	specifies how much space there should be between the maximum y-value in the barplot and the top of the plot. Value of 0 is no space, a value of 0.1 is equivalent to extending the y-range 10 percent
`xLabel`	specifies the label on the x-axis
`yLabel`	specifies the label on the y-axis
`title`	specifies the title of the barplot
`gridLines`	if TRUE then gridlines are shown
`showLegend`	if TRUE then the legend is shown
`legend.position`	defines the place of the legend (default = "bottom")
`returnData`	if TRUE then a list with 2 elements is returned. The first element is the data.frame used to generate the graph and the second element is the graph itself
`...`	can be used to pass on other arguments to graphAdjust() (like xLimits, xExpand, etc) example code: ll <- data.frame(id = c(1,2,3,4), P1 = c(1,2,3,2), P2 = c( 4.0, 5.0,10.0, 5.5), P3 = c(10, 2,23, 5), P4 = c(10.0, 2.0, 6.7, 3.0)) statBarPlot(ll, idColumn = "id", varColumn = 2:5, returnData = T)