amBoxplot: Plotting boxplot using rAmCharts

In datastorm-open/rAmCharts: JavaScript Charts Tool

Plotting boxplot using rAmCharts

Description

amBoxplot computes a boxplot of the given data values. Can be a vector, a data.frame, or a matrix.

Usage

amBoxplot(object, ...)

## Default S3 method:
amBoxplot(
  object,
  xlab = NULL,
  ylab = NULL,
  ylim = NULL,
  names = NULL,
  col = "#1e90ff",
  horiz = FALSE,
  ...
)

## S3 method for class 'data.frame'
amBoxplot(
  object,
  id = NULL,
  xlab = NULL,
  ylab = NULL,
  ylim = NULL,
  col = NULL,
  horiz = FALSE,
  ...
)

## S3 method for class 'matrix'
amBoxplot(
  object,
  use.cols = TRUE,
  xlab = NULL,
  ylab = NULL,
  ylim = NULL,
  col = NULL,
  horiz = FALSE,
  ...
)

## S3 method for class 'formula'
amBoxplot(
  object,
  data = NULL,
  id = NULL,
  xlab = NULL,
  ylab = NULL,
  ylim = NULL,
  col = NULL,
  horiz = FALSE,
  ...
)

Arguments

object	a vector, data.frame, a matrix, or a formula.
...	see amOptions for more options.
xlab, ylab	character, labels of the axis.
ylim	numeric, y values range with sensible defaults.
names	character, name on x-axis, if object is a vector.
col	character, color(s) to be used to fill the boxplot.
horiz	logical, TRUE to rotate chart.
id	character, column name of id to identify outliers, if object is a dataframe.
use.cols	logical, for matrix only. Set to TRUE to display boxplot based on columns.
data	data.frame, from which the variables in formula should be taken.

Value

An object of class AmChart.

References

See online documentation https://datastorm-open.github.io/introduction_ramcharts/ and amChartsAPI

See Also

amOptions, amBarplot, amBoxplot, amHist, amPie, amPlot, amTimeSeries, amStockMultiSet, amBullet, amRadar, amWind, amFunnel, amAngularGauge, amSolidGauge, amMekko, amCandlestick, amFloatingBar, amOHLC, amWaterfall

Examples

## Not run: 
# 'numeric' (default)
amBoxplot(rnorm(100))

# 'formula'
amBoxplot(count ~ spray, data = InsectSprays)

# 'formula', two group
data <- InsectSprays
data$group <- c("H", "F")
amBoxplot(count ~ spray + group, data = data, col = c("purple", "darkblue"))

# 'matrix'
x <- matrix(nrow = 10, ncol = 5, rnorm(50))
amBoxplot(x)

# 'data.frame'
amBoxplot(iris[, 1:4])


## End(Not run)
# Other examples available which can be time consuming depending on your configuration.

## Not run: 
don <- data.frame(a = 1:10, b = 1:5)
amBoxplot(don, ylim = c(0,15))

## End(Not run)
## Not run: 
# --- matrix
x <- matrix(nrow = 10, ncol = 5, rnorm(50))

amBoxplot(x) # on columns
colnames(x) <- LETTERS[1:5]
amBoxplot(x) # with names
amBoxplot(x, use.cols = FALSE, col = c("blue", "red"))

# Parameter for amOptions
amBoxplot(x, export = TRUE, exportFormat = "SVG")

## End(Not run)
## Not run: 
# --- Formula
(obj <- amBoxplot(count ~ spray, data = InsectSprays))

# Adding parameters
amBoxplot(count ~ spray, data = InsectSprays, ylim = c(0,50),
          xlab = "spray", col = c("darkblue", "gray"))

# Transpose
amBoxplot(count ~ spray, data = InsectSprays, ylim = c(0,50), xlab = "spray", horiz = FALSE)

# Using a custom colum to identify outliers
InsectSprays$id <- paste0("ID : ", 1:nrow(InsectSprays))
amBoxplot(count ~ spray, data = InsectSprays, id = "id")

# Parameter for amOptions
amBoxplot(count ~ spray, data = InsectSprays, main = "amcharts")

## End(Not run)

datastorm-open/rAmCharts documentation built on Oct. 4, 2022, 7:07 p.m.